Tag Archives: artificial intelligence (AI)

Ubitec and Bencis join forces

Bencis

Ubitec and Bencis join forces to accelerate AI adoption in the public sector.

Bencis is excited to announce its partnership with Ubitec – a European provider of AI solutions with a clear focus on data sovereignty. Ubitec primarily works with organizations in the public sector as well as with companies that require the highest levels of data security. Its solutions are designed to ensure full control over sensitive data while meeting the highest standards of security, transparency, and compliance – a trusted European alternative to non-European providers.

Ubitec develops highly customizable solutions based on proprietary technology frameworks. This enables the company to address the specific requirements of the public sector on the one hand, while also meeting the strict demands for data protection and tailored systems on the other. With this combination, agentic systems can be applied across a wide range of use cases – from targeted support services to the orchestration of complex process chains. Thanks to its close customer relationships, Ubitec is also able to continuously identify new areas where AI technologies can create measurable value. The goal is to shape digital transformation in line with demographic change and the growing demands for efficiency and service quality – both in the public sector and in security-critical industries of the private sector.

Through this partnership, Bencis and Ubitec pursue the strategic goal of building a European AI champion. The focus lies on consistently delivering customized, data-sovereign AI solutions from Europe, which are increasingly important not only for public institutions but also for companies handling sensitive data. The joint vision is to create a European counterpart to the currently dominant offerings of international hyperscalers – driven by European partners who develop solutions on equal footing and can scale them within the European market.
Bencis will support Ubitec in scaling its operational activities to meet growing demand and unlock new growth opportunities. The foundation for this lies in Ubitec’s experienced team, proprietary technologies, and deep understanding of market requirements in security-critical environments.

About Ubitec
Ubitec is an innovative provider of AI solutions for the public sector with a leading position in Germany and Austria. The tech company was founded by its current managers Dieter Perndl and Dominik Aumayr and is headquartered in Linz, Austria. For more information, visit: www.ubitec.at

About Bencis
Bencis is an independent investment company with advisory offices in the Netherlands, Germany, and Belgium that supports business owners and management teams in achieving their growth ambitions. Managing six funds totalling €2.2 billion, Bencis has invested in over 80 companies and completed more than 330 follow-on acquisitions since 1999. For more information, visit: www.bencis.com

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Recall.ai: unlocking conversation and meeting data to power AI applications and agents

Bessemer

Bessemer Venture Partners leads Recall.ai’s $38M Series B to help teams capture and leverage conversational data at scale.

Conversations are arguably the world’s largest data set. Yet, the data and context that fuel today’s AI revolution are often relegated to what’s already documented or structured. Conversation data, on the other hand, just floats in the ether. But every strategy meeting, sales call, customer complaint, brainstorming session, doctor consult, and coffee chat holds something invaluable: context.

Agents and applications need context 

Conversation and meeting data offer vital context to supercharge AI agents and apps. Enter Recall.ai — the infrastructure that makes it effortless to capture and leverage this data at scale and in real time. The ability to gain insights from conversation data is enabling the emergence of new markets and products. This burgeoning ecosystem includes many of our portfolio companies, like Abridge, Rilla, and Avantos. Recall.ai underlies this trend, which is why we’re proud to lead the company’s $38M Series B round.

In every modern organization, meetings are where crucial context is shared, customer knowledge is exchanged, and decisions are made. Until now, accessing and scaling that flood of meeting data intelligently — across platforms, formats, and workflows — has been a challenge. Recall.ai solves this by providing a single, robust solution that abstracts the complexity.

One API, every platform

Recall.ai provides a unified API and developer platform for conversation intelligence. It powers meeting bots, captures and distills video, audio, and metadata across platforms, including Zoom, Microsoft Teams, Google Meet, Webex, Slack, Desktop, and more. Recall.ai handles it all — from unlimited concurrent Virtual Machine infrastructure to real-time transcripts, audio and video streams, and granular metadata, like speaker identification and screen sharing — all delivered securely.

As the infrastructure behind thousands of conversation intelligence products, processing many billions of minutes annually, Recall.ai is growing quickly across developers and enterprises. Leaders and innovators like HubSpot, DataDog, Calendly, Instacart, Charlie Health, Rippling, and ClickUp all rely on Recall.ai. The company has grown 12X in 2023 and 3X in 2024, and is on track for a record 2025, with recent launches including Desktop Recording SDK, Calendar Integration, and Storage and Playback, with a Mobile SDK in beta and other major releases coming soon.

Customers get up and running within hours instead of spending months building custom infrastructure and dedicating ongoing headcount to maintenance. Teams save 500+ developer hours of engineering time by offloading meeting data management to Recall.ai. This allows companies to ship fast and free up precious development resources.

Why we’re backing the team behind Recall.ai

The idea for Recall.ai stemmed from a problem that cofounders David Gu (CEO) and Amanda Zhu (COO) experienced firsthand while building their previous company, a real-time transcription tool for video conferences. They realized the bulk of their engineering team’s resources were consumed by building, scaling, and maintaining integrations with platforms.

Recognizing that this infrastructure challenge was plaguing others, David and Amanda launched Recall.ai in 2022. The small but mighty team is relentless in solving complex technical challenges and offering customers and developers robust, delightful, and dependable infrastructure. The team is also growing. Check out opportunities at Recall.ai here.

We’re excited to back this all-star team as it enables a growing ecosystem of innovative applications. If you’re building applications or agents that could be supercharged with context and need to access, analyze, or act on conversation data, try Recall.ai.

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Search, Perfected for AI: Why We’re Doubling Down on Exa

Lightspeed

Exa Co-Founders Will Bryk and Jeff Wang.

AI agents and AI-native products are here. These AIs need access to information, critical context that helps them perform at their best. “Garbage in, garbage out” still applies — no matter how intelligent the model, its reasoning is contingent on the availability of fresh, accurate data. In other words, they need search. Application builders are rapidly integrating and embedding search capabilities into a range of AI products – from consumer apps to B2B tools. This is where Exa comes in.

Exa is an applied AI lab training a search engine optimized for AI agents to perfect web search and improve upon the “ten blue links” paradigm that Google defined in the early days of the web. Exa’s goal is to create the world’s most powerful search technology, and unlike Google, they aren’t bound by optimizing for consumer clicks and SEO.

When Lightspeed led Exa’s Series A round last year, agents were only just beginning to take off. Now, they’ve taken over.

Exa has become the leading search engine for AI. For example, AI coding products like Cursor use Exa to retrieve technical documentation to output well-informed, up-to-date code. Today, thousands of developers, AI startups, and enterprises are building on top of the Exa API.

It’s why we’re excited to double down on our investment as part of Exa’s $85M Series B round, led by Peter Fenton at Benchmark Capital, alongside participation from YCombinator and NVIDIA Ventures. Peter served on the board of Elastic, the last major search company built, so we are delighted to see he shares our conviction about this massive opportunity.

Agents are merely large language models paired with appropriate tools. We believe search is one of the two big “killer tools” for agents, along with code execution. With code execution, agents become “Turing complete”, enabling them to write programs on the fly. With search, agents become “information complete” — they can acquire any public information needed to accomplish a task.

While AI models are trained on increasingly vast sums of data, AI models cannot perfectly memorize all the information on the public web, as their recall is unreliable. Further, there’s always a “last mile” of data — private data, alternative data sources, etc. — which will never end up in the training data of these models. For AIs to work with and reason about this data, they require search capabilities.

Exa is strategically positioned to power search for AI. Exa indexes billions of web documents, processes through them all with their custom models, and serves them through a state-of-the-art search and retrieval stack. The quality and craftsmanship of the Exa team is evident through benchmarks, where Exa is best-in-class in terms of relevance and latency.

This incredible performance is no longer limited to AI consumption — Exa now serves human users too via its new product, Websets, an agentic search tool for extracting structured information from the unstructured web. Non-technical users can write a query asking for lists of people, companies, and more (e.g., “US-based startups that have raised over $10M USD focused on longevity healthcare”) and get hundreds of results matching the exact criteria, verified by Exa’s AI agents. Websets has become incredibly popular for recruiting, lead generation, and market research use cases.

But they aren’t stopping there: the Exa team has set out an aggressive product roadmap for the coming years, with the goal of powering every AI app, indexing beyond the public web, and becoming the AI world’s data layer.

We are heading toward a future where AIs search far more than humans, where most search queries actually originate from an AI of some kind rather than a human. We believe this new world will require AI-native search infrastructure to support this new, rapidly growing consumer of the web.

That’s Exa — a single API to get any information from the web, built specifically for AI products. Lightspeed is proud to continue supporting Exa’s vision of perfect search. If you want to work on industry-changing, high-impact, massive-scale challenges, apply here.

 

The content here should not be viewed as investment advice, nor does it constitute an offer to sell, or a solicitation of an offer to buy, any securities. Certain statements herein are the opinions and beliefs of Lightspeed; other market participants could take different views.

Authors

Guru Chahal

Guru Chahal

Nnamdi Iregbulem

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Indico Data Achieves Record ARR, 60% New Logo Growth as Global Carriers Leverage Industry’s First Agentic Decisioning Platform

.406 Ventures

Surging demand for decision automation in commercial and specialty insurance fuels Indico’s record ARR gains and global expansion

 

Boston, MA – September 2, 2025 – Indico Data, the leading Agentic Decisioning Platform for commercial and specialty insurance, today announced record annual recurring revenue (ARR) alongside 60% year-over-year growth in new carrier customers during the first half of 2025. This momentum underscores the market’s demand for AI-driven solutions that enable faster, more accurate underwriting and claims decisions while maintaining compliance and oversight. The results come at a critical time, as insurers face unprecedented submission volumes, limited underwriting capacity, and escalating operational costs.

In the first six months of 2025, Indico has expanded its customer base and added a number of top-tier carriers across North America and the UK, while existing customers expanded beyond initial deployments to encompass submission intake, clearance, policy issuance, and claims workflows. Indico welcomed these new customers on the heels of significant product milestones, including the launch of the industry’s first Agentic Decisioning Platform purpose-built for insurance, the release of out-of-the-box ingestion and data enrichment agents, and the attainment of Guidewire ClaimsCenter certification, enabling seamless integration with one of the industry’s leading core systems.

Indico’s leadership has been further validated by Gartner, which recognized the company in two influential 2025 Hype Cycle reports — the Hype Cycle for P&C Insurance in the Digital Underwriting category, and the Hype Cycle for Artificial Intelligence in the Composite AI category.

As the global insurance industry navigates a persistent hard market, economic pressure, and scarcity of skilled underwriting talent, carriers are re-engineering their operations to make faster, more accurate, and more transparent decisions. Indico’s Agentic Decisioning platform addresses these challenges directly, enabling customers to cut manual intake work by up to 100% in high-confidence cases, reduce quote-to-bind cycles from weeks to days, and increase underwriter capacity by automating low-value administrative tasks.

“Insurers are no longer experimenting with AI — they’re operationalizing it at scale,” said Tom Wilde, CEO of Indico Data. “Our record growth and customer expansion in H1 2025 show that Indico has become core decision infrastructure for leading carriers worldwide. The launch of our Agentic Decisioning Platform marks a new phase in insurance transformation, where speed, accuracy, and auditability are built into every decision.”

With additional agentic capabilities set to launch in the second half of 2025, Indico plans to extend its platform deeper into policy servicing and claims operations, while continuing to expand its out-of-the-box workflow library for faster time to value.

About Indico Data
Indico Data turns chaotic submissions into confident decisions. Built for underwriting and claims operations, our Agentic Decisioning Platform uses Generative and Agentic AI to ingest and enrich complex submissions and claims — accelerating triage, eliminating manual work, and surfacing the right risks instantly. Where legacy tools stop at extraction, Indico delivers speed, accuracy, and full transparency across every decision point. Learn more at www.indicodata.ai.

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Deepening Our Partnership With Anthropic

Lightspeed

True tipping points in technology are rare. Over the past few decades, we’ve witnessed the rise of software, the internet, the cloud, and mobile, each wave reshaping how companies operate and how people live. The impact has been extraordinary but so too was the noise that surrounded them, as the technologies matured and the true winners emerged.

AI is different. Its potential to transform our lives is even more profound. As the past three years have shown, the pace and intensity of change have been almost relentless. Amid this whirlwind, Anthropic has stood out as a steady force. Their mission is simple yet powerful: to scale intelligence that is both trustworthy and safe. The team’s execution against that vision has been exceptional, and it’s why we’re proud to deepen our partnership with Anthropic in their Series F.

Singular Focus – Clarity in the Chaos

Amid the daily noise in the AI world – Anthropic’s vision has remained simple and clear from the beginning:

  1. Scaling Intelligence: Anthropic’s team has been laser-focused on advancing frontier foundation models, driven by the conviction that core model performance, not “application scaffolding”, is the key to unlocking new capabilities. When the world seemingly panicked as DeepSeek launched their models in early 2025, Anthropic stayed disciplined pushing forward on the fundamentals of advancing intelligence.
  2. Safety & Reliability: Anthropic’s obsessive focus on safety and reliability is more than good citizenship – it’s their ultimate competitive advantage. At some point we’ll see a “WannaCry moment” in AI, just as the 2017 ransomware attack forced enterprises to take cybersecurity seriously. When it comes, the world will demand the safety and alignment capabilities Anthropic has been building since day one.
  3. Enterprise: Anthropic’s enterprise focus flows directly from its priorities on responsibly scaling intelligence so it is both powerful and reliable and safe. Nowhere else is trustworthy intelligence more valuable than in businesses and government institutions. For these stakeholders and institutions safety isn’t theoretical. It’s existential. We believe Anthropic’s mission-driven approach to safety makes them a natural and valuable partner in the enterprise market.

When Focus Meets Opportunity

When a clear strategy meets an opportunity of unprecedented scale, the result is adoption at a speed rarely seen in history. At the start of 2025, fresh off their Series E, Anthropic had already reached run-rate revenue of ~$1B, less than two years after publicly launching their first model. Today, the company has surpassed $5B, making Anthropic the fastest growing technology company ever.

This growth is a direct result of scaling intelligence. Each leap in model capabilities, unlocks new use-cases and opens trillion-dollar markets for innovation. We are now seeing this acceleration across healthcare, legal, financial services, biotech and drug discovery, and nearly every type of knowledge work.

Nowhere is this shift clearer than in software development. Over the past 18 months, Anthropic’s models have gone from simple code completion to more than seven hours of independent, autonomous coding. Claude’s agentic coding product, Claude Code, has grown from research preview to >$500M in run-rate revenue in just three months. Claude Code exemplifies the paradigm shift underway – while apps package existing capabilities, it is core model intelligence that creates new ones. The value is in the model.

Our Partnership: Backing the Future

For over two years, Lightspeed has backed Anthropic’s singular mission through three consecutive investments. We believe they represent the rare combination of incredible ambition, technical excellence, and unwavering commitment to beneficial outcomes.

Anthropic’s talent-dense team understands that intelligence matters more than features, depth more than breadth. Their technology aims to enhance our public institutions, supercharge economic activity across enterprises, and help individuals solve their most complex problems.

As frontier AI advances exponentially, Anthropic is positioned to become one of the most transformational companies of our generation. We’re proud to support them on this journey to scale intelligence for the benefit of all.

 

The content here should not be viewed as investment advice, nor does it constitute an offer to sell, or a solicitation of an offer to buy, any securities. Certain statements herein are the opinions and beliefs of Lightspeed; other market participants could take different views.

Authors

Ravi Mhatre

Ravi Mhatre

Guru Chahal

Guru Chahal

Sebastian Duesterhoeft

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Cove Raises an additional $16 Million to ExpandAI-Native Insurance Platform and Offer Strategic Exit Options to Agency Partners

Bgv

San Francisco, CA – August, 2025 – COVU, the AI-native operating system for insurance, today announced it has raised $16 million in new capital, including equity and growth financing. This brings the company’s total funding to around $50 million to date, fueling its mission to transform how insurance is delivered, serviced, and experienced through agencies and partners.
The funding will accelerate platform development, expand operational infrastructure, and offer independent agency partners more options: whether they want to scale their operations or step away through a structured, supported transition.

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“We’re not here to sell software,” said Ali Safavi, CEO of COVU. “We’re building the infrastructure that powers the future of insurance. Our goal is to help agencies operate with more intelligence, more efficiency, and more care, while preserving the advisor relationship that customers trust.”
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A Modern Operating System for Independent Insurance

COVU supports insurance agencies with a full-service platform that combines AI-native technology, licensed support staff, and centralized customer operations. This allows agencies to streamline servicing, boost profitability, and modernize their customer experience without building infrastructure on their own.
The platform includes:

  • AI-powered customer support and automation.
  • End-to-end servicing delivered by licensed professionals
  • Direct carrier access and appetite matching
  • Compliance, staffing, and operational oversight
  • Growth and M&A enablement for partners ready to expand or exit

COVU’s role is not to replace agencies, but to power them. The company operates behind the scenes, delivering outcomes instead of tools, and protecting the advisor-customer relationship at every step.

Acquisition as a Continuation of Partnership

COVU has completed seven agency acquisitions to date. Each one originated as a servicing partnership. When a partner chooses to exit, COVU offers a seamless, non-disruptive path that ensures continuity for clients, staff, and carrier relationships.

“We believe deeply in the agency model,” Safavi added. “We help our partners grow and evolve, but we also support them when they’re ready for a transition. That flexibility is critical to modernizing this industry with care and respect.”

Accelerating the Future of Insurance Operations

With this capital, COVU will continue to expand its AI-native platform and servicing infrastructure, onboard new carrier partners, and support both organic and M&A-driven growth for agencies across the country.
As the industry faces growing complexity and capacity constraints, COVU provides agencies and carriers with a clear path forward. A modern insurance experience, delivered with technology, trust, and operational excellence.

About COVU

COVU is the AI-native operating system for insurance. Built for independent agencies, the platform provides licensed servicing staff, centralized operations, embedded AI workflows, and access to top carriers. Whether growing, operating, or exiting, agencies trust COVU to simplify insurance, protect their customer relationships, and power their future.
Media Contact:

Sumukh Lohani
press@covu.com
COVU, Inc.

548 Market St, PMB 24487, San Francisco, California 94104

covu.com/press

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Maisa: Why We Invested

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Forgepoint

 

I’m excited to share that Forgepoint Capital International is investing in Maisa’s $25M Seed funding round led by Creandum, with participation from existing investors NfX and Village Global. We are thrilled to partner with the team at Maisa, innovators in trustworthy agentic AI transforming business process automation (BPA) at enterprise scale. 

Untapped process automations and the unfulfilled potential of agentic AI 

BPA and knowledge work automation are ripe for disruption. Existing BPA is cumbersome and costly, requiring substantial human intervention to manually define processes and encode automations.  

Recent advancements in agentic AI have driven a surge of interest in AI-enabled BPA. However, there is far more hype and ‘AI washing’ than substance in the market. Buyers are more likely to see products like AI assistants, RPA tools, and chatbots branded as agentic AI than substantial agentic capabilities.  

Enterprise AI adoption also remains sluggish. Trust in AI is a core issue, with persistent concerns around AI hallucinations and output explainability. Many businesses struggle to equip their workforce with the necessary expertise and skills to support AI implementations.  

These intersecting challenges have resulted in a dearth of AI-driven automation. Many businesses eschew BPA in favor of human-centered business process outsourcing (BPO), while those that pursue AI automation find limited success: 88% of AI pilot projects fail to progress beyond a proof-of concept.  

Maisa: Flexible and trustworthy AI agents unlocking BPA at scale 

Maisa enables AI automation for complex business tasks with ‘digital workers,’ AI agents that eliminate BPA cost barriers, address AI explainability and trust challenges, and alleviate AI expertise requirements.  

Maisa’s digital workers are hallucination-resistant, auditable, and enterprise-ready. Knowledge workers without IT, coding, or AI expertise can develop and deploy digital workers thanks to Maisa’s Human Augmented LLM Processing (HALP) approach, a novel framework in which AI agents learn through interactions with humans. Employees simply use natural language commands to train digital workers for specific automation use cases. This dramatically reduces training time, increases trust, and reduces costs to unlock BPA at scale. 

Maisa’s innovative architecture, the Knowledge Processing Unit (KPU), acts as a reasoning engine built for cognitive work. The KPU enhances Large Language Models (LLMs) to manage complex processes and orchestrate computational calculations, memory, data flows, and external tools- a critical capability in complex enterprise environments. 

Tangible trust from day one 

At Forgepoint, we believe AI will open the door to previously impractical or impossible process automations, particularly in large enterprises. Agentic AI is particularly interesting to us given its potential to redefine enterprise BPA.  

Successfully deploying AI agents is an exercise in trust- in AI implementations, reasoning, and outcomes. As investors, we look for AI companies that prioritize trust while developing differentiated technologies, validated approaches, and strong teams with the vision to scale globally. That’s precisely what Maisa brings to the table.  

Maisa has unique and valuable technology with trust at the core of its products and operations, led by a driven and proven team of AI experts- a rare combination of advantages. Maisa’s KPU not only enables agentic AI-driven automations; it delivers a highly traceable and auditable record of agent logic, execution, and workflows to reduce hallucinations, ensure verifiable outcomes, and build customer trust.  

This winning approach can be traced to Maisa’s exceptional co-founders, CEO David Villalon and Chief Scientific Officer Manu Romero. We first met David in 2023 prior to Maisa’s founding, while he was the Chief AI officer at AI infrastructure firm Clibrain AI. When David and Manu- the former Chief Scientific Officer at Clibrain AI- launched Maisa in early 2024, we immediately saw the potential in their complementary track records, with David’s product leadership acumen and Manu’s software engineering expertise. 

Since then, Maisa has made exceptional progress in a remarkably short amount of time. Following a $5M pre-seed funding round, the Maisa team has quickly scaled to meet emerging enterprise customer needs around AI governance and trust.  

Maisa’s momentum hasn’t gone unnoticed: the company was recently featured in Gartner’s AI Hype Cycle and Future of Work Hype cycle reports. Maisa’s customers- large global businesses across financial services, banking, energy, and automotives- are finding immense value in Maisa’s adaptable AI-enabled automations. Enterprises plan to use Maisa’s digital workers to unlock new automations including supply chain monitoring, invoice processing, fraud detection, and regulatory monitoring.  

Automating knowledge work and closing the AI adoption gap 

As we look ahead, we are confident that Maisa can disrupt enterprise BPA and play a significant role in the $7B+ Agentic Process Automation (APA) market, expected to grow to $41B+ by 2030, with its novel approach to agentic AI reliability, accountability, and accessibility. The company has the potential to bridge the enterprise AI adoption gap, unlock a massive number of untapped automations, and lay the foundation for responsible AI governance, robust data management, and transparent decision-making across the enterprise. 

We look forward to working alongside David, Manu, and the Maisa team as they innovate AI agents to redefine complex process automations. 

 

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Why we invested in Treefera

Endeit

Treefera founders

An interview with Sara Resvik, Partner Nordics at Endeit Capital 

We recently invested in Treefera, as part of its $30 million Series B round led by Notion Capital. Treefera is the leading AI-enabled data fabric for supply chain resilience. The London-based company helps organisations monitor and manage environmental risks deep within their supply chains, starting with the so-called “first mile,” where raw materials are sourced. The funding will support Treefera’s global expansion and continued product development. 

As part of our climate tech focus, we see Treefera as a category-defining platform built for transparency, compliance and long-term sustainability. We spoke with Sara Resvik, Partner at Endeit Capital, about why this investment matters now, and what makes Treefera stand out.

Climate tech is an important segment for Endeit. Where does Treefera fit into this? 

Sara: “The climate transition creates enormous opportunities. We see this in broad areas, such as energy, but we’re also focused on targeted solutions. Treefera is one of those. They offer a precise, data-driven platform that addresses a critical piece of the sustainability puzzle.”

Treefera helps companies understand risks in their nature-based supply chains. They collect data from satellites and on-the-ground sources, then apply AI to generate actionable insights. Sara adds: “The platform provides a scalable and holistic solution – a data fabric of the world. It enables customers to track land use, ownership, and environmental impact in real time.”  


Sara Resvik – Partner Endeit Capital

Why is the first mile such a valuable space to invest in right now? 

Sara: “There are two main reasons. First, large enterprises must transition to more environmentally sustainable ways of working, which requires a deep understanding of their supply chains. Second, the effects of extreme weather are becoming impossible to ignore: land is being damaged, and yields are suffering. Treefera helps companies stay ahead of these challenges.” 

The first mile is also where the most risk lies, and where the least structured data has historically been available. Treefera enables companies to assess supply risk at ecological, geopolitical and environmental levels, and to do so at scale.

What stood out when you first met the Treefera team? 

“The founders immediately stood out. Jonathan Horn (CEO) has decades of experience in risk analysis and data from major financial institutions. Caroline Grey (CRO) has helped scale a company from startup to IPO. That’s a unique founder combination: scientific depth and commercial execution,” explains Sara. 

Furthermore, Treefera is only two years old, but has already achieved strong growth and secured serious funding. This reflects the quality of the team and the strength of their vision. 

What makes Treefera’s data platform so relevant today? 

Sara: “It’s the combination of high-resolution satellite data with historic, ground-based insights. In some regions, people have collected this kind of data for over a hundred years. That adds incredible depth. But what’s most important is making this data useful.” 

Treefera’s AI-enabled software translates raw data into clear, business-ready insights. Their clients don’t need to be experts in satellite imaging or ecology. They just get answers to the questions that matter: what is growing where, who owns the land, or is it being used responsibly?  

How does regulation influence the investment case? 

Regulations, such as the EU Deforestation Regulation, which takes effect in December 2025, will require companies to demonstrate that their products are not linked to deforestation. Failure to do so may result in fines or loss of market access. 

Sara: “Treefera is ahead of the curve here. They’ve built a platform that can help companies prepare for these rules and stay compliant. That’s a major competitive advantage.” 

What excites you about Treefera’s next chapter? 

Sara: “I’ll be joining the board of directors, which is a great opportunity to support their next stage of growth. The foundations are in place. Now it’s about scaling across regions and sectors, and we’ll be closely involved in that process. Also, the company is ready to grow its customer base across food, consumer goods and agriculture as well as within financial services and insurance. The timing is right, and the momentum is building.” 

What impact do you hope Treefera will have? 

“They have the potential to become the standard for first-mile data. That would be transformative, not just for compliance, but for the entire sustainability landscape. The first mile is where the most risk lies, and where the least data is available. That’s what Treefera is changing. We believe their platform will be essential in building future-proof supply chains,” elaborates Sara.  

Treefera joins Endeit’s growing Climate Tech portfolio, where data, compliance and impact go hand in hand. As the regulatory landscape sharpens, platforms like Treefera will become not just useful, but essential. 

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Thoma Bravo to Acquire Verint to Join Forces with Calabrio to Create an AI-Driven Customer Experience Powerhouse

Thomabravo

MINNEAPOLIS & SAN FRANCISCO—Thoma Bravo, a leading software investment firm, announced today that it has entered into a definitive agreement to purchase Verint Systems, Inc. (Nasdaq: VRNT) (“Verint”) in an all-cash transaction reflecting an enterprise value of $2 billion for the company. The transaction is subject to customary closing conditions, including regulatory approvals, and is expected to close before the end of Verint’s current fiscal year, in early 2026. More details on the transaction can be found via Verint’s Investor Relations page and in its regulatory filings.

Following the close of the transaction, Calabrio and Verint will be combined into one company and will be a leading provider of Customer Experience (CX) Automation Solutions to the $50B+ market in which they serve. Together, they will offer an expansive portfolio to advance the critical priorities of CX organizations across the size and complexity spectrum. The combination will create more opportunities for companies to quickly achieve business outcomes in their interactions with customers. Calabrio is fully committed to maintaining and investing in the products that support its installed base and customers’ workflows.

“Together Calabrio and Verint will bring a powerful set of products to accelerate a shared vision: delivering an AI-powered, open CX-platform to customers who are focused on driving strong business outcomes in their operations. As a combined company we are well positioned to lead the industry forward,” said Dave Rhodes, Calabrio CEO.

Mike Hoffmann, a Partner at Thoma Bravo added: “We have been active in the CX space for many years and are excited to bring these two companies together to lead more innovation and growth in the category. Calabrio and Verint both have powerful product portfolios and go-to-market strategies that cover the needs of a wide spectrum of the market. Together, the combined company will have the industry’s broadest CX platform, enabling brands of all sizes to drive transformative, AI-driven outcomes.”

About Thoma Bravo

Thoma Bravo is one of the largest software-focused investors in the world, with approximately $184 billion in assets under management as of March 31, 2025. Through its private equity, growth equity and credit strategies, the firm invests in growth-oriented, innovative companies operating in the software and technology sectors. Leveraging Thoma Bravo’s deep sector knowledge and strategic and operational expertise, the firm collaborates with its portfolio companies to implement operating best practices and drive growth initiatives. Over the past 20+ years, the firm has acquired or invested in approximately 535 companies representing approximately $275 billion in enterprise value (including control and non-control investments). The firm has offices in Chicago, Dallas, London, Miami, New York and San Francisco. For more information, visit Thoma Bravo’s website at thomabravo.com.

About Calabrio

Calabrio is a trusted ally to leading brands. The digital foundation of a customer-centric contact center, the Calabrio ONE workforce performance suite helps enrich and understand human interactions, delivering business outcomes by optimizing every customer interaction. We maximize agent performance, exceed customer expectations, and boost workforce efficiency using connected data, AI-fueled analytics, automated workforce management, and personalized coaching. Only Calabrio ONE unites workforce optimization (WFO), agent engagement, and business intelligence solutions into a cloud-native, fully integrated suite that adapts to your business. Calabrio, Calabrio ONE, and the Calabrio logo are registered trademarks or trademarks of Calabrio, Inc. All other trademarks mentioned in this document are the property of their respective owners. Calabrio operates in Canada under Calabrio Canada, Ltd., based in British Columbia.

Read the release on the Business Wire site here.

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FieldAI Announces Over $400M in Funds Raised to Advance Embodied AI at Scale

Intel Capital

Backing from Bezos Expeditions, Canaan Partners, Khosla Ventures, Prysm, Temasek, and others to accelerate commercial expansion of first risk-aware foundation models for robotics

Irvine, CA – August 20, 2025 – FieldAI, a leader in physical AI and robotic autonomy, today announced that it has raised $405 million in two consecutive rounds. Investors include Bezos Expeditions, BHP Ventures, Canaan Partners, Emerson Collective, Intel Capital, Khosla Ventures, NVentures (NVIDIA’s venture capital arm), Prysm, Temasek, and others. Previous investors include Gates Frontier and Samsung. The latest round was oversubscribed, following rapid customer adoption and multiple expansion contracts for FieldAI’s general-purpose robotics intelligence, with successful testing and deployments across hundreds of complex real-world industrial environments.

FieldAI is at the forefront of the general-purpose robotics revolution, developing a single software brain that is powering a variety of robots in many diverse environments. FieldAI robots are deployed in daily operations at numerous customer sites worldwide. Deployments span a variety of robot types in high-complexity environments from Japan, to Europe, to the U.S., with some of the world’s largest companies in industries including construction, energy, manufacturing, urban delivery and inspection.

FieldAI’s systems operate in real-time autonomously, with decisions made directly by the models at the edge, seamlessly integrating into real customer workflows. They have logged unprecedented real-world data and operational hours, demonstrated a transformative pace of model evolution, and delivered value and cost-effective autonomy at scale. As industries turn to automation to address labor shortages, safety risks, and efficiency goals, demand for FieldAI’s platform continues to accelerate.

Capital to Accelerate Global Expansion

The newly raised capital will accelerate FieldAI’s global growth, support continued product development across locomotion and manipulation, and enable strategic hiring to scale its team as it plans to double headcount by the end of the year.

“Enabling autonomy solutions at scale is an extremely difficult problem, but the deep expertise of the FieldAI team and their unique approach to embodied intelligence reflects a pragmatic path forward,” said Vinod Khosla, founder of Khosla Ventures. “FieldAI is at the forefront of the general-purpose robotics revolution, and its ability to rapidly deploy will unlock long-term economic and societal value.”

A New Era of Robot Intelligence

At the core of FieldAI’s platform are Field Foundation Models (FFMs): a new class of “physics-first” foundation models built specifically for embodied intelligence. Unlike conventional vision or language models retrofitted for robotics, FFMs are designed from the ground up to grapple with uncertainty, risk, and the physical constraints of the real world. This enables safe and reliable robot behaviors when managing scenarios that they have not been trained on, navigating dynamic, unstructured environments without prior maps, GPS, or predefined paths.

“Our team has spent years in the field, driving major breakthroughs in ‘field robotics’ and safety-critical robotic AI in complex environments,” said Ali Agha, Founder and CEO of FieldAI. “With a deep understanding of the resilience and robustness required to deploy robotic AI in complex real-world conditions, we have taken a fundamentally different approach. Rather than attempting to shoehorn large language and vision models into robotics—only to address their hallucinations and limitations as an afterthought—we have designed intrinsically risk-aware architectures from the ground up. With Field Foundation Models, we are enabling robotic operations to scale seamlessly across diverse environments with varying risk profiles, moving beyond the constraints of traditional solutions.”

The FieldAI architecture marks a breakthrough in the robotics space. FFMs’ robust nature enables the models to safely and dynamically adapt to new and unexpected conditions without requiring reprogramming, enabling robots to execute complex tasks reliably in unstructured environments. FFMs have already been proven across a wide range of embodiments, including quadrupeds, humanoids, wheeled robots, and passenger-scale vehicles. Their hardware-agnostic design allows different form factors and manipulators to operate using the same core intelligence, accelerating deployment and scalability.

“We are excited and privileged to be partnering with the FieldAI team on this next phase of their journey. Their new class of foundation models offers the reliability and adaptability required for autonomous robotics deployment at scale across numerous sectors,” said Jay Park, Co-Founder and Managing Partner of Prysm Capital. “FieldAI’s revolutionary models not only greatly broaden possible use cases but also enable risk-aware deployment, a critical element for scaling AI that has the potential to reshape how robots interact with the physical world.”

Led by world-renowned veterans in robotic AI from DeepMind, Google Brain, Tesla Autopilot, NASA JPL, SpaceX, Zoox, Cruise, Amazon, DARPA, TRI, and others, FieldAI combines deep research expertise with unmatched real-world deployment experience. From Mars rovers to Earth’s mines and factories, the FieldAI team has driven landmark breakthroughs in field robotics – winning DARPA challenge circuits, scaling foundation models across autonomous fleets, and delivering autonomy at scale. That ethos of solving for the field is what inspired the company’s name.

About FieldAI

Headquartered in Irvine, CA, FieldAI is a pioneer in developing embodied AI software that is redefining autonomous robot operations in real-world environments. The company’s Field Foundation Models provide an embodiment-agnostic autonomy brain, empowering robots to navigate dynamic and unpredictable conditions without maps, GPS, or predefined trajectories. Proven across diverse platforms – from quadrupeds to humanoids – FieldAI is driving a global expansion that enables industries such as construction, energy, mining, logistics, and federal applications to scale automation like never before. With a robust pipeline of deployments and strategic partnerships accelerating its growth, FieldAI is spearheading a new era in industrial robotics, setting the stage for transformative, large-scale automation worldwide.

For more information, visit www.fieldai.com or contact PR@fieldai.com.

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