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Today we’re revisiting a pain point we’ve explored in the past, but this startup is exploring it in a different way.

How can teams make use of the tacit knowledge team members hold that is never fully documented? Evidentia.AI has a plan.

Read on to find out more. As ever, Premium subscribers get the full story.

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Evidentia.AI is making better use of the hidden knowledge that makes teams work

Institutional knowledge is an intangible asset many businesses thrive on, but can easily lose.

Knowledge about what to do and how to do it, within the context of your specific company, is often critical to the success of companies in fields such as software development, finance, marketing, or the legal profession.

But knowing who has the right knowledge, and making sure it’s not lost when they leave, can be a real pain point.

Indeed, a 2018 study by Panopto and YouGov found that 42% of institutional knowledge is unique to individuals. This makes it very difficult to replace them if they leave, or for colleagues to do their job when they’re away.

“Knowledge is the lifeblood of what happens in those teams, and being able to share and collaborate and trust that knowledge and make sure it's available can make the difference between success and failure,” says Ashraf Murtada, founder and CEO of Evidentia.AI, a startup looking to make an impact by solving pains here.

“The problem space we're solving in is particularly a knowledge curation and knowledge management challenge that we're solving across the board. By its very nature, it is a horizontal problem; it doesn't apply to one type of team or one type of industry.”

Evidentia is starting by tackling an industry the team is familiar with: software development.

In addition to documentation that is out of date as soon as it is written, the tacit or “tribal” knowledge (as Murtada puts it) in people’s heads can be a real challenge for development teams.

“You have to sit down with a plethora of people to piece together how the systems work, how the business works… Every business I've worked with suffers from this problem where there is so much valuable knowledge that is stuck in people's heads. It's never written down.”

Putting this knowledge into action to push the company forward is the priority, not writing it down clearly to share with others.

Murtada spotted an opportunity to use today’s LLM-based AI technology to build a new way.

How it works

Evidentia’s first product is called TeamBrain. It harnesses the SECI model of knowledge dimensions to capture knowledge from interactions between colleagues.

“Whether it's a meeting, a conversation or a walkthrough, even something you're sharing on a stream, it turns that interaction into a bunch of curated knowledge that sits behind the scenes for people to tap into,” Murtada says.

“We're using advanced knowledge curation capabilities and workflows to extract structured information from the meetings. Note-taking tools like Fathom or Otter are very useful. However, they don't connect the dots. They're not contextualised. TeamBrain takes all of your meetings, then zooms out from just one meeting, and tries to connect the dots between them.”

TeamBrain constructs knowledge graphs from all of these interactions, for team members to draw on in the future. It can also contribute to meetings on the fly. It currently supports joining Microsoft Teams calls, where it can generate relevant questions and suggestions to both aid the conversation in real time and extract even more tacit knowledge from team members’ brains.

“You can tell it ‘I'm doing a requirements gathering session’, or ‘I'm doing a sprint planning session’, or ‘I'm doing a retrospective’, and it behaves differently. It produces different sets of artifacts off the back of each type of meeting that you choose,” Murtada says.

The story so far

Murtada has a career history leading software and data teams in the UAE and the North West of England. In 2023, he teamed up with California-based Ali Beydoun to tackle the problem of inaccessible knowledge within companies.

Interviewing CEOs, CTOs, and CPOs from his network, Murtada validated the problem before bolstering the team with three part-time colleagues to get serious about building something.

He says the team, which spans the UK, US, and France, plans to stay lean by harnessing AI software development tools where possible.

TeamBrain was launched as a commercial product in late 2025 after a period of development and testing with design partners.

They’re now gearing up to launch a second product, SpecSnap, which is designed to capture and automate processes, and an upgraded version of TeamBrain as the startup prepares to address the enterprise market. They’ve also brought in a fractional chief revenue officer.

Biopharma and clinical research companies are the next markets on the list for Evidentia to target.

“Those industries have an immense amount of knowledge that flows through their processes and multiple disciplines that interact with each other, from patient recruitment for clinical trials, to pharmacovigilance, to bioinformatics and data management. It's a very wide spectrum of disciplines where it's extremely hard to manage knowledge,” Murtada says.

He adds that plans are in place to begin working with a clinical research organisation in the US in the coming weeks.

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