Backing Garage: Transforming How America’s Critical Equipment Is Bought and Sold

Initialized

Why Initialized led Garage’s seed round and participated in its Series A for $18M total funding

America’s local governments and public safety departments are the backbone of our communities, yet the way they buy and sell the most essential equipment needed for doing their jobs hasn’t changed in decades. Whether it’s a used fire engine or surplus emergency response gear, these transactions often happen offline, through outdated regional auctions or informal Facebook groups. It’s an inefficient, fragmented system that slows operations, limits budgets, and wastes valuable time and money.

BUILDING THE MODERN MARKETPLACE

Garage is a modern, AI-powered marketplace designed to streamline how specialized equipment is bought and sold. When we first met co-founders Martin Hunt and Alaz Sengul, we immediately saw how deeply personal this mission is to them, and how well-equipped they are to fix this broken system. Martin’s firsthand experience as a volunteer firefighter — logging over 1,500 hours of training by age 18 — gave him a firsthand view of just how archaic these workflows are. Their vision goes beyond making equipment transactions easier, it provides a means for America’s first responders and civil servants to access the tools they need to do their jobs well.

The first thing that surprised us in diligence was how little innovation has touched this space, despite how critical and expensive these assets are. The U.S. has more than 27,000 fire departments, and most operate under tight budget constraints. A new or used fire truck can cost anywhere from $500K to $1M, and buying or selling one can take weeks of coordination, back-and-forth messages, and fragmented logistics. The absence of a central platform isn’t just inefficient, it’s a missed opportunity to recapture budget and reinvest in communities.

Garage is filling that gap. The platform handles the full lifecycle of the sale: AI-based appraisals, integrated payments, freight quotes, and national reach for the equipment listed. They’re already being used by hundreds of fire departments across all 50 states, impacting the well-being of millions of Americans. Compared to previous approaches, they also don’t take inventory risk on the equipment being traded.

THE PERFECT COMBINATION: FRONTLINE EXPERIENCE AND TECHNICAL EXPERTISE

Martin and Alaz aren’t new to building together. They met at Columbia, where they developed apps together. After graduation, Alaz went on to engineering roles at Twitter, and Mem, while Martin worked in private equity at Goldman Sachs, bringing operational rigor to complement his front-line fire service experience.

Martin’s authenticity, paired with Alaz’s product instincts and technical execution, is a combination we’re genuinely excited to back for the next ten years. This is a deep, mission-oriented company. It’s not uncommon for Martin to share stories with us during office hours of how he’s used his firefighting training to help a stranger drowning.

WHY OVERLOOKED INDUSTRIES MAKE THE BEST INVESTMENTS

At Initialized, we believe some of the best opportunities lie in underserved, overlooked industries, where the tools haven’t caught up to the needs of the people using them. Garage is a perfect example of that thesis in action.

As the market shifts toward more capital efficiency and durable business models, Garage stands out: high-value transactions, strong early traction, and a clear roadmap to scale. We’re proud to have led Garage’s seed round and to be part of this $13.5M Series A alongside Infinity Ventures, Y Combinator, Benchstrength, Wayfinder Ventures, and FJ Labs, and we’re excited to support Garage as they continue building the infrastructure America’s communities rely on.

Garage is hiring! Visit shopgarage.com/careers if you’re interested in joining this stellar team.

Visit www.shopgarage.com to learn more about Garage.

boost.ai named a leader in 2025 Gartner® Magic Quadrant™ for conversational AI platforms

Nordic Capital

Boost.ai, a leading developer of AI Agents for regulated enterprises, today announced it has been recognized as a Leader by Gartner in the 2025 Magic Quadrant for Conversational AI Platforms. Boost.ai has been recognized in this Magic Quadrant by Gartner for its “Ability to Execute” and “Completeness of Vision”.

The report states that “Gartner defines conversational AI platforms (CAIPs) as SaaS products that primarily enable the development of applications simulating human conversation across multiple channels and media”. As AI adoption accelerates, the market is seeing a clear shift in customer expectations toward higher-quality self-service and interactions. While enterprises increasingly turn to generative AI to meet these expectations, platforms, like boost.ai, that combine generative capabilities with proven conversational AI, offer the scalable, reliable solutions needed to deploy with confidence.

“We’ve always believed that trust is the foundation of enterprise AI. Being recognized as a Leader by Gartner reinforces our position as a global provider of AI-driven conversations that our customers can trust,” said Jerry Haywood, CEO of boost.ai. “It affirms our commitment to delivering AI that is not only powerful and scalable but also responsible and secure. It’s this unwavering focus that continues to earn the confidence of some of the world’s most respected brands.”

Over the past year, boost.ai announced multiple customer wins and partnerships in the US and UK, including Jack Henry, SwitchThink and Sage. The company also introduced Test Studio, a first of its kind built-in studio to test and validate AI Agent performance before they are deployed by enterprises. With more than 600 live AI Agents across 450+ organizations worldwide, boost.ai is the go-to provider of trustworthy AI Agents for leading banking, insurance, and government institutions. The platform delivers industry-leading resolution rates above 90% and is certified to both ISO 27001 and ISO 27701 standards, reinforcing enterprise-grade data protection and privacy management across every customer interaction.

Boost.ai continues its upward global trajectory within the Enterprise Conversational AI market, while driving innovation and helping enterprises push the boundaries of AI responsibly. To learn more about how boost.ai is empowering customers like DNB and Jack Henry using conversational AI, please visit boost.ai.

Gartner disclaimer:
GARTNER is a registered trademark and service mark of Gartner Inc. and/or its affiliates in the U.S. and internationally, and MAGIC QUADRANT is a registered trademark of Gartner, Inc. and/or its affiliates and are used herein with the permission. All rights reserved.

Gartner does not endorse any vendor, product or service depicted in our research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

Gartner, “Magic Quadrant for Conversational AI Platforms”, by Gabriele Rigon, Justin Tung, Bern Elliot, Arup Roy, Adrian Lee, Uma Challa, 12 August 2025.

About Boost.ai
Boost.ai is the trusted leader in AI-powered customer experience solutions for regulated industries. Built for security, speed, and scale, the platform enables fast deployment, high-resolution rates, and full hybrid control through seamless orchestration of traditional NLU and LLMs. With over 650 successful deployments, 600 live virtual agents, and more than 150 million automated conversations, boost.ai helps enterprises around the world resolve with confidence, automate at scale, and trust every conversation.

Proven performance and enterprise-grade reliability make boost.ai the partner of choice for leading brands across the world, including Nordea, Credit Union of Colorado, Sage, DNB, Trading 212, and more.

Download a complimentary copy of the report here.

Welcome to the CapitalT family – Balthazar!

CapitalT

We’re thrilled to announce our role as lead investor in Balthazar’s latest funding round, bringing their total raised to €1.8M. Joining forces with Antler and other Dutch innovation funders, we’re backing the brilliant team that’s building an AI-powered operating system for deep tech R&D labs.

Balthazar transforms how cutting-edge hardware – from semiconductors and photonics to carbon capture – gets developed. Their real-time, intelligent workspace lets teams run, monitor, and manage complex experiments from the browser, integrating every step of the workflow from design to analysis.

By connecting lab instruments, organising prototype data, and embedding automation, Balthazar brings structure, speed, and reproducibility to an industry still reliant on fragmented systems.

As our Founding Partner Eva de Mol puts it:

“Balthazar solves a foundational challenge for deep tech teams: turning research chaos into coordinated progress. This is the kind of infrastructure that accelerates technological breakthroughs.”

With fresh funding, Balthazar will scale product development, enhance AI capabilities, and grow its team – and of course, they’ve already received one of our signature unicorns to celebrate the partnership. 🦄

Apollo Funds Reach Agreement with American Securities to Acquire Trace3, a Leading Technology Solutions Provider Driving Adoption of Next-Generation Technology and AI

Apollo logo

Strategic Investment to Accelerate Trace3’s Growth and Expand Solutions Across Security, Hybrid Cloud and AI

IRVINE, Calif. and NEW YORK, Aug. 11, 2025 (GLOBE NEWSWIRE) — Apollo (NYSE: APO) today announced that funds managed by its affiliates (the “Apollo Funds”) have agreed to acquire Trace3, a leading provider of enterprise and commercial technology solutions, from American Securities. Financial terms were not disclosed. American Securities will retain a significant minority equity interest in the company.

Trace3 is a leading digital transformation and IT solutions provider to commercial and enterprise clients, including many of the Fortune 500. Since its founding in 2002, Trace3 has established a national, market-leading position in the technology solutions provider space with significant expertise in artificial intelligence, cloud, security, data and analytics, managed services, data center infrastructure and emerging technology. The company is well positioned to benefit from strong demand for next-generation IT infrastructure and services as digital transformation and AI adoption continue to accelerate.

“The partnership with Apollo is a powerful testament to the quality of our brand, our people and our consistent track record of growth,” said Rich Fennessy, Chief Executive Officer of Trace3. “They embrace our unwavering commitment to innovation, technical excellence and deep client relationships. Together, we’re poised to accelerate the Company’s trajectory while preserving the special culture that continues to attract the best talent in technology.”

“Trace3 is a recognized leader in enterprise IT, with a strong culture of innovation and a track record of delivering critical and cutting-edge products and services to its broad client base,” said Robert Kalsow-Ramos, Partner at Apollo. “We see a meaningful opportunity to support Trace3’s efforts to meet AI-related demand across their client base and expand high-value service offerings while pursuing strategic M&A to help accelerate the company’s growth trajectory. We’re excited to partner with the Trace3 team in this next chapter of growth.”

“Trace3’s management team has done an exceptional job scaling the business, expanding its capabilities and establishing the company as a trusted partner in delivering cutting-edge technology solutions. We’re proud to have supported their growth, which reflects American Securities’ strategy of partnering with strong teams in sectors where we can add lasting value. We look forward to continuing our partnership alongside Apollo and the Trace3 team as the company enters its next phase,” said Kevin Penn, Managing Director of American Securities.

Apollo has deep experience successfully investing in the IT services and distribution space, including prior investments by Apollo-managed funds in Presidio and TD SYNNEX.

The transaction is subject to customary closing conditions and regulatory approvals.

Citi served as lead financial advisor, Wells Fargo and Royal Bank of Canada also served as financial advisors, and Paul, Weiss, Rifkind, Wharton & Garrison LLP served as legal counsel to the Apollo Funds. Guggenheim Securities, LLC served as financial advisor and Kirkland & Ellis LLP served as legal counsel to Trace3 and American Securities.

About Trace3
Trace3 is a premier provider of technology consultation services and advanced IT solutions. Founded in 2002, Trace3 empowers organizations to embrace digital transformation through elite expertise and insightful innovation. With deep roots in the data center, Trace3 offers a broad mix of end-to-end technology services and solutions. These range from artificial intelligence and data insights to cloud computing and security consulting. Trace3 also maintains a Venture Capital (VC) CXO briefing program with a sharp focus on emerging technologies and provides clients with extensive research focused on the latest IT trends. For more information, visit www.trace3.com.

About Apollo
Apollo is a high-growth, global alternative asset manager. In our asset management business, we seek to provide our clients excess return at every point along the risk-reward spectrum from investment grade credit to private equity. For more than three decades, our investing expertise across our fully integrated platform has served the financial return needs of our clients and provided businesses with innovative capital solutions for growth. Through Athene, our retirement services business, we specialize in helping clients achieve financial security by providing a suite of retirement savings products and acting as a solutions provider to institutions. Our patient, creative and knowledgeable approach to investing aligns our clients, businesses we invest in, our employees and the communities we impact to expand opportunity and achieve positive outcomes. As of June 30, 2025, Apollo had approximately $840 billion of assets under management. To learn more, please visit www.apollo.com.

About American Securities
Based in New York with an office in Shanghai, American Securities is a leading U.S. private equity firm that invests in market-leading North American companies with annual revenues generally ranging from $200 million to $2 billion. American Securities and its affiliates have approximately $23 billion in assets under management. For more information, visit www.american-securities.com.

Contacts

Apollo
Noah Gunn
Global Head of Investor Relations
Apollo Global Management, Inc.
(212) 822-0540
IR@apollo.com

Joanna Rose
Global Head of Corporate Communications
Apollo Global Management, Inc.
(212) 822-0491
Communications@apollo.com

Trace3
Jill Simpson
Manager, Public Relations
(269) 930-0912
Jill.simpson@trace3.com

American Securities
Joshua Rosen / Nick Kyriacou
Prosek Partners
pro-americansecurities@prosek.com

Reltio Unveils AgentFlow, A Set of Agents for Data Governance and Business Operations

.406 Ventures

Reltio AgentFlow, built on Reltio Data Cloud, delivers autonomous agents purpose-built for critical jobs using unified, trusted enterprise data.

 

Redwood Shores, CA — August 5, 2025 — Reltio®, the leader in real-time data intelligence, today announced the launch of Reltio AgentFlow™, an innovative agentic AI platform delivering purpose-built, context-aware, autonomous agents for enterprises.

Enterprises face a growing challenge: operationalizing data governance and business workflows at scale in an environment filled with siloed systems and inconsistent data. Teams waste time on manual processes, governance backlogs pile up, and AI initiatives stall or introduce new risks due to poor data quality and lack of oversight. DIY agents and generic copilots often fall short — too shallow to deliver business outcomes, too complex to maintain, and too disconnected from the trusted data needed to take confident, autonomous action.

Built on the proven foundation of Reltio Data Cloud™, Reltio AgentFlow, delivers both the scale enterprises need to support global operations and the data precision required to automate complex, high-stakes workflows. Reltio AgentFlow Agents inherit enterprise-grade security, real-time governance policies, and rich, contextual data from Reltio’s platform, ensuring actions are accurate, auditable, and aligned with business intent. As the agentic data fabric for the enterprise, Reltio Data Cloud powers real-time data intelligence for AI transformation with trusted data across all domains.

“Enterprises urgently need agentic AI applications that go beyond experimentation. They need agents that reduce manual work and speed decision-making,” said Manish Sood, CEO and Founder of Reltio. “Generic solutions can’t deliver real outcomes without the context of enterprise knowledge. With Reltio AgentFlow, enterprises get purpose-built agents powered by Reltio Agentflow and informed by the Reltio Data Cloud, the system of context for AI, enabling automation at scale with trusted, real-time data. The result is rapid, measurable ROI for AI initiatives,  from accelerating time-to-launch and lowering operational costs to reducing regulatory risk exposure.”

Reltio AgentFlow Agents are built to make agentic AI usable and valuable across the enterprise. They offer secure, personalized, role-based experiences that adapt to the needs of different users, from data stewards to business analysts. With proactive recommendations, support for a range of large language models (LLMs), and conversational interfaces, AgentFlow brings intelligent automation to more teams—wherever and however they work.

Reltio AgentFlow Agents are designed based on Reltio’s extensive expertise in data unification and governance with the Intelligent Data Graph (knowledge context), directly mapping to pressing enterprise data tasks such as resolving matches, enriching attribution details, identifying and fixing data quality anomalies, and validating data for compliance, among others. Unlike generic AI copilots and agents, Reltio AgentFlow Agents drive immediate business outcomes with an intuitive conversational user interface, orchestration of sub-agents, long- and short-term memory, seamless tool and model integrations, all out-of-the-box.

Reltio customers, including Radisson Hotel Group and Eaton Corporation, are taking advantage of early access to AgentFlow, developing agents that will work on complex data-related tasks, such as match resolution, complex hierarchy management, data governance, and enhancing data quality.

Leading global partners Cognizant, ZS, and TCS are already supporting clients in adopting Reltio AgentFlow, leveraging it to create business operations agents that empower such clients in their businesses:

“Enterprises are navigating an increasingly complex digital landscape and require both specialized capabilities and trusted, unified data. Agentic AI platforms can be a powerful compass. Reltio’s AgentFlow platform is adept at understanding the business context and delivering secure, governed automation across data-intensive workflows. It not only automates tasks, but also adapts, unlocking new levels of efficiency, personalization, and innovation across industries,” said Satish Byravan, Global Head, Data and Analytics Practice, TCS.

“Our customers need actionable AI solutions, not just suggestions. Reltio AgentFlow provides context-driven autonomous agents that integrate seamlessly into existing business workflows, accelerating time-to-value,” said Mike Powers, principal and global master data management (MDM) practice lead at ZS, a global management consulting and technology firm.

“Reltio AgentFlow is a compelling offering for enterprises that need to scale data governance and business workflows securely,” said Diptesh Singh, at Cognizant. “The prebuilt agents enable clients to rapidly achieve compliance, productivity, and innovation outcomes while also minimizing the complexities associated with generalized AI solutions.”

Additionally, Reltio’s AgentFlow MCP (Model Context Protocol) Server allows enterprises to securely integrate Reltio AgentFlow Agents, their own custom-built agents, or third-party agents with the trusted, governed data from Reltio’s Intelligent Data Graph, ensuring consistent, context-aware actions at scale for business and data team workflows.

Reltio AgentFlow MCP Server is generally available to customers now, and Reltio AgentFlow Agents are available to select customers through Reltio’s Early Access program. General availability of Reltio AgentFlow Agents is coming soon in Fall 2025.

———————————————

At Reltio, we believe data should fuel your success in the enterprise AI era. Reltio Data Cloud is the agentic data fabric for the enterprise, powering real-time data intelligence and AI transformation. Reltio’s cloud-native SaaS platform delivers unified, trusted, and context-rich data across domains in real-time. With Reltio, organizations gain 360-degree views of customers, products, suppliers, and more—mobilized in milliseconds to any application, user, or AI agent. Trusted by the world’s largest enterprises across life sciences, financial services, healthcare, technology, and more, Reltio helps organizations fuel frictionless operations, drive innovation, and reduce risk.

“Reltio” is a registered trademark, and Reltio Data Cloud, Reltio AgentFlow and Reltio Customer 360 are trademarks of Reltio, Inc. All Rights Reserved.

Contacts

Melissa Muskett
Allison Worldwide for Reltio
Reltio@allisonworldwide.com

More News

Blue J Announces $122M Series D Financing Led By Oak HC/FT and Sapphire Ventures

Oak HC FT

Blue J doubles revenue and customer base in first half of 2025, delivering comprehensive tax research to tens of thousands of tax professionals

Blue J, a leading GenAI tax research platform, today announced it has raised $122 million in U.S. dollars in a Series D funding round led by Oak HC/FT and Sapphire Ventures, with participation from Intrepid Growth Partners, and previous investors Ten Coves Capital and CPA.com. Coming seven months after Blue J’s Series C round, this investment signals a clear market consensus that Blue J is the breakout winner in its category.

“We’re thrilled to partner with Sapphire Ventures, Oak HC/FT, Ten Coves, CPA.com, and Intrepid Growth Partners — firms with exceptional track records of backing market-defining companies,” said Benjamin Alarie, CEO and co-founder of Blue J. “Their commitment is a powerful endorsement of our vision to transform tax research. With this capital and industry support, we will accelerate innovation and deliver even greater value to tax professionals. We are building the future of tax. This is just the beginning.”

“Tax research has long been a cumbersome, time-consuming task,” said Allen Miller, Partner at Oak HC/FT. “Blue J has solved this challenge with an elegant AI solution that dramatically accelerates research while raising the bar for accuracy. We believe Blue J will become the new standard for complex tax questions — and we’re proud to support Ben and the team in their next stage of growth.”

“Blue J is exactly what we look for in vertical AI: deep domain expertise, proprietary data and a product that drives meaningful business impact,” said Cathy Gao, Partner at Sapphire Ventures and Blue J’s newest board member. “By applying generative AI to decades of tax rulings, Blue J reduces research that once took hours to just minutes. It’s already trusted by enterprise clients, embraced by top firms, and loved by many practitioners. We believe their momentum shows the industry is ready, and we’re proud to back Blue J as they build the operating layer for global tax cognition.”

Blue J’s platform leverages advanced generative AI to deliver instant, reliable answers to complex tax questions spanning U.S. federal, state, and local tax (SALT), as well as Canadian and UK tax law. Built on a rigorously curated database of authoritative tax law, Blue J’s system continuously improves by learning from millions of user queries each year. The result: practitioners can navigate even the most challenging tax issues with unmatched confidence and speed.

Unlike legacy keyword-based research tools, Blue J lets users ask tax questions conversationally, with no arcane syntax required. The intuitive interface delivers answers in seconds, complete with relevant source citations, making Blue J the industry’s most user-friendly tax research platform. More than 70% of users log in weekly, and Blue J’s Net Promoter Score (NPS) is consistently in the mid-70s.

In the first half of 2025, the company more than doubled its revenue and customer base, now serving tens of thousands of tax professionals across thousands of organizations that rely on Blue J for authoritative tax research, analysis, and answers. With the Series D funding, Blue J will further accelerate team expansion, product development, and market reach.

The company has proudly earned recognition from other generative AI leaders. “Blue J is a leading example of effective AI deployment in one of the most complex information domains,” said Marc Manara, Head of Startups at OpenAI. “By leveraging OpenAI’s latest models, Blue J has elevated the standard for accuracy, trust, and insight in tax research. We’re excited to continue working together at the forefront of innovation.”

This Series D follows Blue J’s December 2024 Series C and comes during a period of rapid acceleration for the company. Since January 2025, Blue J has grown to over 80 employees and more than doubled its rate of new customer acquisition. With this new investment and market momentum, Blue J is poised to set the new standard for AI-driven tax research as global tax complexity continues to rise.

About Blue J

Founded in 2015, Blue J is redefining tax research with generative AI. Trusted by tax professionals across accounting firms, law firms, corporations, and government, Blue J delivers fast, verifiable analysis and answers to even the most complex tax questions — empowering experts to serve with clarity and confidence. With an intuitive conversational interface and a rigorously curated library of authoritative sources, Blue J is transforming how tax professionals work and make decisions. Leading organizations trust Blue J to streamline their research workflow and enhance decision-making accuracy. For more information, visit www.bluej.com.

About Oak HC/FT

Oak HC/FT is a venture and growth equity firm specializing in investments in fintech and healthcare. Using partnership as a foundation, Oak HC/FT guides companies and founders at every stage, from seed to growth, to create businesses that make a measurable and lasting impact. Founded in 2014, Oak HC/FT has invested in over 105 portfolio companies and has over $5.3 billion in assets under management. Oak HC/FT is headquartered in Stamford, CT, with an office in San Francisco, CA. Follow Oak HC/FT on LinkedIn and X and learn more at https://www.oakhcft.com/.

About Sapphire

Sapphire is a global software venture capital firm with over $11 billion in AUM and team members across Austin, London, Menlo Park and San Francisco. For more than two decades, Sapphire has partnered with visionary management teams and venture funds to back companies of consequence. Since its founding, Sapphire has invested in more than 170 companies globally resulting in more than 30 Public Listings and 45 acquisitions. The firm’s investment strategies — Sapphire Ventures, Sapphire Partners and Sapphire Sport — are focused on scaling companies and venture funds, elevating them to become category leaders. Sapphire’s Portfolio Growth team of experienced operators delivers a strategic blend of value-add services, tools and resources designed to support portfolio company leaders as they scale.

Genesys Announces $1.5 Billion Investment by Salesforce and ServiceNow

Hellman & Friedman

Investment strengthens the company’s global partnerships with Salesforce and ServiceNow to accelerate the agentic AI customer experience orchestration opportunity

Genesys®, a global cloud leader in AI-Powered Experience Orchestration, today announced $1.5 billion in new investment commitments from Salesforce and ServiceNow, with each company agreeing to invest an equal amount.

This milestone reinforces the strength of Genesys as the strategic customer experience (CX) orchestration platform for all enterprises and deepens its global partnerships with both Salesforce and ServiceNow. Proceeds from the investment will be used to repurchase shares from the company’s existing equity holders. Hellman & Friedman and Permira remain the company’s majority equity owners.

The Genesys Cloud™ platform has continued to see accelerated growth as organizations look to transform their CX strategies with AI. The platform reached nearly $2.1 billion annual recurring revenue (ARR) during the first quarter of the company’s fiscal year 2026 (Feb. 1 – April 30, 2025), representing year-over-year growth over 35%, and average quarterly net revenue retention (NRR) exceeding 120% for the last four fiscal quarters.

“Genesys is delivering long-term value to enterprises through end-to-end customer experience orchestration that can drive loyalty, grow revenue and reduce operating costs,” said Tony Bates, chairman and CEO of Genesys. “We’re proud to have the support of industry leaders like Salesforce and ServiceNow, and we believe this reflects growing momentum around agentic AI and the importance of connected, autonomous customer experiences.”

“This investment deepens our partnership with Genesys to deliver AI-assisted and agentic AI-powered customer experiences across every channel, from voice to digital,” said David Schmaier, president and chief strategy officer, Salesforce. “As leaders in our respective markets, we’re excited to further integrate our products and help redefine what’s possible in this new AI era, supporting our joint customers as they transform their contact centers and customer experiences.”

“Our investment in Genesys accelerates our vision for the agentic enterprise, where the ServiceNow AI Platform intelligently orchestrates end-to-end customer experiences,” said Amit Zavery, president, chief product officer, and chief operating officer at ServiceNow. “Together, ServiceNow and Genesys are enabling businesses to deploy AI-based customer journeys that anticipate needs, personalize at scale and deliver measurable outcomes.”

Genesys Cloud, the AI-Powered Experience Orchestration platform, enables companies to increase customer loyalty and employee productivity, drive revenue growth and reduce operating costs. Offering essential agentic, conversational, generative and predictive AI capabilities, Genesys Cloud helps organizations differentiate with smarter, more autonomous CX strategies that deliver efficient, effective and emotionally intelligent experiences.

Both Salesforce and ServiceNow have global partnerships with Genesys that help organizations around the world orchestrate end-to-end customer journeys. This expanded investment builds on:

  • CX Cloud from Genesys and Salesforce: a unified AI-powered customer experience and relationship management solution that integrates Genesys Cloud and Salesforce Service Cloud. The solution helps customers spanning global enterprises to midsize businesses to unify their data, agents and communication channels for smarter end-to-end customer and employee experiences.
  • Unified Experience from Genesys and ServiceNow: an integrated solution that combines Genesys Cloud and the ServiceNow Customer Service Management (CSM) workflow. The turnkey, AI-powered solution unifies customer service teams through a single desktop, centralizes routing across departments and channels, and optimizes workforce engagement for more personalized customer experiences and simplified employee experiences.

The investment is expected to close by the end of the Genesys fiscal year 2026, subject to satisfaction of customary closing conditions. Genesys was advised by Goldman Sachs and J.P. Morgan Securities LLC as financial advisors and Skadden, Arps, Slate, Meagher & Flom LLP as legal counsel.

Forward-Looking Statements
Statements in this press release that are not historical or current facts are forward-looking statements that involve risks and uncertainties. Unless required by law, Genesys undertakes no obligation to update or revise any forward-looking statements to reflect circumstances or events after the date of this press release.

About Salesforce
Salesforce helps organizations of any size reimagine their business with AI. Agentforce – the first digital labor solution for enterprises – seamlessly integrates with Customer 360 applications, Data Cloud, and Einstein AI to create a limitless workforce, bringing humans and agents together to deliver customer success on a single, trusted platform. Visit www.salesforce.com for more information.

About ServiceNow
ServiceNow (NYSE: NOW) is putting AI to work for people. We move with the pace of innovation to help customers transform organizations across every industry while upholding a trustworthy, human centered approach to deploying our products and services at scale. Our AI platform for business transformation connects people, processes, data, and devices to increase productivity and maximize business outcomes. For more information, visit: www.servicenow.com.

About Genesys
Genesys empowers more than 8,000 organizations in over 100 countries to improve loyalty and business outcomes by creating the best experiences for their customers and employees. Through Genesys Cloud, the AI-Powered Experience Orchestration platform, Genesys delivers the future of CX to organizations of all sizes so they can provide empathetic, personalized experience at scale. As the trusted platform that is born in the cloud, Genesys Cloud helps organizations accelerate growth by enabling them to differentiate with the right customer experience at the right time, while driving stronger workforce engagement, efficiency and operational improvements. Visit www.genesys.com.

© 2025 Genesys. All rights reserved. Genesys, the Genesys logo and Genesys Cloud are trademarks, service marks and/or registered trademarks of Genesys. All other company names and logos may be registered trademarks or trademarks of their respective companies.

MEDIA CONTACTS:
Janelle Dickerson
Janelle.Dickerson@Genesys.com

[i] Genesys Cloud Annual Recurring Revenue (ARR) is defined as Genesys Cloud fiscal quarterly revenue, including both committed contractual amounts and usage-based revenues, multiplied by four.
[ii] Genesys Cloud Net Revenue Retention (NRR) is defined as the percentage of Genesys Cloud revenue retained in the applicable quarterly period for customers that generated revenue in the corresponding prior fiscal year period.

FloVision grabs $8.7M to transform protein production with AI-powered waste reduction

SOSV

We’re thrilled to announce that FloVision, a startup revolutionizing food production with AI, raised a $8.7 million Series A led by Insight Partners with participation from SOSV’s Ireland Biomanufacturing Fund, Serra Ventures, and Rockstart.

FloVision builds AI-powered tools that combine computer vision hardware and software to help food processors measure yield, monitor quality, and improve labor performance in real time. Their compact sensors attach directly to conveyor belts and workstations, scanning every product that moves through the line. This gives processors unprecedented visibility to detect defects, misgrades, and foreign materials instantly.

Since launching in 2020, FloVision has already processed over 51 million pounds of food and deployed its system in major beef and poultry plants globally, starting with its first corporate customer in Ireland and now expanding across North America, Europe, and Australia. Customers report up to 1.5% more yield, 15x ROI, and significant gains in quality control and staff training, all by reducing waste and enabling faster, data-driven decisions on the production floor.

FloVision was founded by Rian McDonnell and Elise Weimholt, whose combined expertise drives the company’s innovation. McDonnell’s engineering background and upbringing in rural Ireland, where his family worked in beef processing, gave him firsthand insight into protein production challenges:

“I saw firsthand how yield loss and quality inconsistencies impact processors. These experiences shaped my belief that technology could revolutionize an industry that has been slow to innovate,” McDonnell told Tech Business News

With the Series A, FloVision will expand its team of software, hardware, and AI/ML engineers, AI data annotators, and sales representatives in the US and Europe, including Ireland.

At SOSV, we couldn’t be prouder to have supported FloVision from its early days. This funding milestone is not only a win for the team, but a clear signal of the role AI can play in making one of the world’s most essential industries – feeding the world – more efficient, sustainable, and resilient.

FloVision Solutions grabs $8.7M to transform protein production with AI-powered waste reduction

Reality Defender democ­ra­tizes deepfake detection with public API launch

DCVC
The democ­ra­ti­za­tion of artificial intel­li­gence has been a double-edged sword. While generative AI tools have unleashed unprece­dented creative and produc­tivity possi­bil­i­ties, they’ve also armed bad actors with sophis­ti­cated deception capa­bil­i­ties that were once the exclusive domain of state-sponsored actors and well-funded criminal orga­ni­za­tions. Today, anyone with a smartphone can create convincing deepfakes that can bypass traditional security measures, manipulate financial markets, or destroy reputations in minutes.It’s against this backdrop that Reality Defenders latest announce­ment takes on profound signif­i­cance. The company, which has been quietly protecting Fortune 500 companies and government agencies from AI-powered deception, has launched a public developer API and SDK with a free tier offering 50 detections per month. This isn’t just another API launch — it’s a fundamental shift in how we approach digital security in the age of synthetic media. See Fast Company coverage of the news here.

What makes this partic­u­larly compelling is the timing. As deepfake technology becomes increas­ingly accessible and sophis­ti­cated, Reality Defender is essentially betting that the defense against digital deception needs to be just as ubiquitous as the tools that create it. By making enterprise-grade deepfake detection available to any developer with just two lines of code, they’re attempting to build what they call a ​distributed defense network.”

I caught up with Ben Colman, co-founder and CEO of Reality Defender, to discuss what this API launch means for the broader fight against AI-powered deception and how democ­ra­tizing detection technology could reshape digital trust.

DCVC: What drove the decision to make your enterprise-grade detection technology publicly available?

Colman: We’ve been incredibly successful protecting large enterprises and government agencies, but every success story came with a nagging question: What about everyone else? The reality is that deepfakes don’t discrim­i­nate by company size or budget. A single sophis­ti­cated deepfake can devastate a startup just as easily as it can harm a Fortune 500 company.

We realized that protection can’t be reserved for those with enterprise budgets. When we see deepfakes being used to manipulate local elections, defraud small businesses, or spread disin­for­ma­tion on social platforms, it becomes clear that detection needs to be everywhere — embedded in every app, accessible to every developer, protecting every user.

The API launch represents our commitment to enabling trust in an AI-powered world. We’re not just offering a platform; we’re building the infra­struc­ture for a more trustworthy digital ecosystem.

DCVC: How significant is the threat that individual developers and smaller companies face from deepfakes?

Colman: The threat is already substantial and growing expo­nen­tially. What’s partic­u­larly concerning is that the barrier to entry for creating deepfakes continues to plummet while the sophis­ti­ca­tion increases. We’re seeing attacks that would have required significant technical expertise and resources just two years ago now being executed by individuals with minimal training.

For smaller companies, the impact can be existential. They don’t have the resources to recover from a sophis­ti­cated deepfake attack that damages their reputation or enables fraud. A startup building a trust-based platform, a content creator whose likeness is being used maliciously, or a financial services company dealing with synthetic identity fraud — these orga­ni­za­tions need the same level of protection as our enterprise clients.

The democ­ra­ti­za­tion of creation tools demands a democ­ra­ti­za­tion of detection capa­bil­i­ties. That’s why we made our API production-ready from day one with the same multi-model detection capa­bil­i­ties that protect our largest clients.

DCVC: What’s your vision for this ​distributed defense network” you’re building?

Colman: Imagine a world where detecting deepfakes is as routine as filtering spam. Where every commu­ni­ca­tion platform, every content management system, every social app has deepfake detection built in by default. Every developer integrating our API becomes part of a global shield against AI deception.

This is about creating ubiquitous protection. Our API introduces context-aware detection that looks beyond just faces — our proprietary techniques analyze entire images holis­ti­cally, marrying multiple types of approaches to catch sophis­ti­cated deepfakes that other systems miss. This makes our detection useful not just for catching imper­son­ations, but many other types of deepfakes in the wild.

The network effect is crucial here. The more developers integrate detection capa­bil­i­ties, the more data points we have to improve our models, and the more resilient the entire ecosystem becomes against emerging threats.

DCVC: How do you see this impacting the broader AI safety landscape?

Colman: This API launch is a step toward making AI safety infra­struc­ture as fundamental as cyber­se­cu­rity infra­struc­ture. Just as we don’t question whether websites should have SSL certifi­cates or whether apps should have authen­ti­ca­tion, we shouldn’t question whether platforms should have deepfake detection.

We’re at an inflection point where the tools to impersonate are evolving daily. The tools to detect must be everywhere and then some. By making detection accessible to any developer, we’re not just protecting individual appli­ca­tions — we’re building the foundation for an AI ecosystem where trust can be verified, not just assumed.

The broader implication is that we’re moving from a world where deepfake detection is a luxury to one where it’s a necessity. Every developer building trust-critical appli­ca­tions — whether that’s a dating app, a financial platform, or a news aggregator — now has access to the same detection capa­bil­i­ties as the largest institutions.

DCVC: What’s next for Reality Defender and the API?

Colman: We’re expanding beyond audio and image detection to video and other modalities in the coming months. But more importantly, we’re focused on making integration even simpler and more powerful. We want to get to a point where adding deepfake detection to an application is as straight­for­ward as adding a payment processor.

We’re also working on industry-specific solutions that leverage the API foundation. Think specialized detection for financial services, media veri­fi­ca­tion for newsrooms, or identity veri­fi­ca­tion for hiring platforms. The API is the foundation, but the appli­ca­tions are limitless.

The ultimate goal is to make deepfake detection invisible to end users while being indis­pens­able to developers. We want to enable a world where digital inter­ac­tions can happen with confidence, where trust isn’t just assumed but verified in real-time.

This API launch is several giant steps forward toward making that reality. The tools to impersonate are evolving daily — now the tools to detect can be everywhere they’re needed.

How lakeFS is versioning the way to enterprise AI innovation

Dell

How lakeFS is versioning the way to enterprise AI innovation

How lakeFS is versioning the way to enterprise AI innovation

In the modern enterprise, vast amounts of data are continually gathered, refined, and then used for an ever-growing number of AI-driven internal and end-customer use cases. Right now, there’s not an organization on the planet that does not endeavor to do this with greater speed, scale and security, and across every data type and format they’ve got.

Long before the “everything better with AI” fervor swept the enterprise, lakeFS co-founders Einat Orr and Oz Katz saw an opportunity to help streamline and ensure data integrity for data science and engineering workflows with a novel, yet proven approach: manage the data like code. “Git for data” was the idea and that served as the basis for the company’s eponymous open-source project.

At the time Orr and Katz kicked off lakeFS, version control was an often used but siloed capability for software development. But as the need for repeatable and reliable data delivery grew, lakeFS’ popularity surged. Now, version control is emerging as a fundamental layer in AI infrastructure. And lakeFS just raised a $20 million funding round from DTC and other investors to help companies train better models and build better applications by focusing on the key ingredient: their multimodal data.

“When you are training AI models, you rely on multimodal data. And organizations that don’t have the right infrastructure to support this will struggle to get AI systems into production,” Einat Orr, who serves as CEO, said. “Everyone is rethinking their data architecture, because they need to navigate a very stormy world. Things are not stable. You want to build an infrastructure that will take you through that, and that serves you as the AI revolution is happening and evolving.”

Tenured engineers, Orr and Katz knew first-hand the struggles of manually recovering lost assets. With lakeFS, data practitioners can easily version control data in a Git-like model. The technology takes the complexity out of managing data regardless of underlying format, across text, video and images. The result for customers like Lockheed Martin, Microsoft, NASA, Amazon and others is much faster time-to-market for new data-intensive use cases.

“Versioning is no longer something that a tool does for someone. It is an organizational infrastructure for the data that anyone who uses data in the organization can enjoy. And that infrastructure needs to support all data types, from all data sources, for the company’s AI needs,” Orr said.

Scale, reproducibility and trust

With lakeFS, at any moment, enterprises can log the state of every asset in any data repository, review past versions, and quickly revert back to prior states.

“That provides reproducibility. Since you can integrate lakeFS with other tools that you are using, you can have a synced reproducibility of your code, your data and your infrastructure,” said Orr.

Users can interact with the data how they want without compromising the original data set. As they make copies from object storage buckets like S3 and build upon those replications, lakeFS logs the assets and creates a lineage for easy auditing. Users can also expose any changes to team members, as well as integrate them back into the source data, ensuring consistency across the data set’s lifecycle.

“Today, there are many issues with people modifying data while others are still using it. A lot of confusion arises because the data is stored in a single location, like a shared folder” said Orr. “But with data versioning, collaboration and communication become much easier.”

And as fresh data comes in, lakeFS automatically blocks assets that don’t meet a certain quality threshold. This builds up over all trust in data domains and highlights the vital role the versioning layer now plays within enterprise infrastructure.

Everyone in an organization is interested in accessing different versions of their data. But when teams are off using their own versioning in their own tools, massive silos become the challenge. A git-for-data approach gives an organization versioning with full lineage and context.

Open technology, better results

Like other popular open-source projects before it, lakeFS’ vibrant community helps to quickly turn user feedback into new products and features. For example, with lakeFS Mount, users can quickly move experimental AI systems running on a laptop to a GPU, eliminating time-consuming integration shifts and further accelerating time-to-market.

And in a market besieged by subpar, half-baked AI tools, lakeFS’s open-source roots and the community built around it are powerful customer acquisition tools.

“Open technologies build trust. You know that a lot of people have tried it, you know how it was tested,” Orr shared. “The traction we have seen across our open source users has greatly and positively influenced the lakeFS roadmap. It’s also served as a foundation for strong relationships with customers like Amazon, Arm, Lockheed Martin, and Volvo. The fact that lakeFS is now cemented in enterprise AI tech stacks with customers of this caliber definitely fueled the demand for this round of growth funding.”

lakeFS announced a $20M growth round of funding, triple-digit growth, and the plans to expand its engineering and go-to-market teams.