Why We Invested in Doti

When evaluating early-stage companies, I look for teams solving foundational problems in how organizations operate—challenges so ingrained in workflows that businesses don’t always recognize the inefficiencies holding them back.

That’s what stood out to me when I met Matan Cohen and Opher Hofshi at Doti. They identified a critical gap in how companies access and manage knowledge, a challenge that affects every industry yet remains unsolved in a scalable, secure way.

It reminded me of my early investment in Monday.com back in 2012. They tackled the problem of “who is doing what” and grew into a $12 billion public company by transforming how teams manage workflows. Doti is solving the next major problem: ensuring employees can access the right information at the right time without compromising security.

Doti was built with the realities of enterprise work in mind. It goes beyond simply surfacing information. Its unique architecture ensures precision while enforcing strict security and access controls. For example, a support team member can quickly pull up product specs during a sales call but won’t see unrelated or sensitive data like their manager’s salary. This thoughtful approach balances usability and security, addressing both productivity and compliance challenges.

Another key strength of Doti is its low-touch deployment. Enterprises don’t need months of complex integration. The platform is designed to deliver value from day one, making adoption seamless.

We’re excited to announce Doti’s $7 million seed round, led by F2 Venture Capital, and to support Matan, Opher, and their team as they tackle this critical challenge.

The Team

Matan and Opher met while working together at Wix. Matan often speaks about the dynamic they had: he wanted to release new infrastructure changes quickly, while Opher, on the security team, made sure safety and compliance came first. This balance of perspectives has shaped Doti’s thoughtful approach to solving tough enterprise problems.

Matan and Opher bring a strong mix of technical expertise and practical experience. At Wix and WalkMe, Matan gained deep insights into designing scalable, user-friendly tools for complex systems. Opher’s experience at Wix, combined with his background in cybersecurity, gave him a sharp understanding of the risks enterprises face when adopting new technologies.

For six months, Matan and Opher worked out of F2’s Operator Platform, where we had the opportunity to see them in action. During that time, they onboarded their first customers, grew their team, and refined their product. Their ability to focus on what matters most—building a secure, intuitive platform that integrates seamlessly into existing workflows—gave us confidence in their ability to execute.

The Problem: Lost Knowledge, Missed Potential

Today’s enterprises operate in a fragmented knowledge ecosystem. With the average organization using over 100 SaaS tools, critical information is often scattered, siloed, and hard to access. Employees waste hours searching for what they need or recreating work, leading to inefficiencies that compound over time.

The issue goes deeper than retrieval. Knowledge isn’t being captured in the first place. Documenting insights is often seen as time-consuming or low priority, leaving valuable expertise unrecorded. When employees leave, their knowledge leaves with them, creating gaps that slow collaboration and decision-making.

While some platforms have improved search capabilities, they often fall short of solving the bigger problem: making knowledge actionable, capturing it seamlessly, and ensuring it’s secure, relevant and reliable. This challenge is compounded by the slow pace of AI adoption in enterprises, where fewer than 25% of companies have meaningfully integrated AI into their operations.

Enter Doti: Secure, Adaptive Work AI

Doti is rethinking the knowledge lifecycle from the ground up. Doti doesn’t just make it easier to search for information, it transforms how enterprises capture and retrieve knowledge.

Doti is building an organizational brain—a real-time graph that seamlessly connects all information across a company’s tools. Unlike traditional AI systems that train models on organizational data, Doti operates as a fully deterministic engine, meaning every request is processed in a controlled, permission-aware manner.

This ensures real-time, secure access to information without compromising data integrity. When an employee asks a question, Doti runs more than a dozen steps in under two seconds to deliver the right answer—enforcing strict permission checks at every stage.

The paradox of AI in the enterprise is this: companies want AI to be flexible and powerful, yet also deterministic and secure. These two needs are often at odds, but Doti solves this by giving organizations full control over who can access what, when, and how.

This extends beyond security—it’s also about adaptability. Doti is built with a “bring your own LLM” approach, meaning companies aren’t locked into a single AI provider. Whether they want to run models in their own cloud or integrate with a preferred LLM, Doti’s infrastructure is designed to accommodate any setup with simple configurations.

Looking Ahead

The rise of generative AI represents a transformative moment for enterprises, but its adoption hinges on solutions that address the real challenges of enterprise work: security, usability, and seamless integration. Doti exemplifies this next generation of AI-powered tools, and we are confident that Matan and Opher have the vision and expertise to drive this change.

This is only the start of their journey, and we are thrilled to partner with them as they redefine how enterprises unlock and harness the value of their collective knowledge.