We help youput AI to work
Univot is a senior‑led AI studio from Munich. We find the use case worth building, prove it on your real data, ship it into the workflow, and leave your team able to run it.
Why we exist
Most AI never earns its keep. Adoption across Europe is rising, yet most companies see no measurable impact on profit.
Stalled projects rarely fail on the model. They fail on the wrong problem, unready data, unchanged workflows, untrained teams and unclear rules.
We work on all of those together. The person who scopes the work leads it through to launch, and every engagement is designed around European rules from the start.
What we stand for
Validate before you build
We run a go/no-go on your real data before you commit to a build. Sometimes the honest answer is "don't use AI here", and we will say so.
Ship it, don't just demo it
Evaluations, monitoring, workflow redesign and adoption are part of every build. A prototype that never reaches users is not a result.
Built for Europe
EU AI Act and GDPR by design, EU data residency options, and work in English or German. We are independent of AI vendors and do not resell any AI provider.
Designed to leave
You own the code, prompts, evaluation sets and data. Your team is trained on the system it now runs, so you are never locked in to us.
Our story
Univot was founded in Munich by Peter Jegede, a computer scientist turned product leader with 12+ years of taking products from zero to revenue.
As Head of Product at Stryber, a corporate venture builder, Peter led a 16-person product and design team across four countries and was product lead on the founding team of six ventures. Two of them exited.
Since then he has built AI products hands-on. At Creditit.AI he validated an AI credit-health model for SMEs in 2 weeks, which led to the first lender partnership. As co-founder and CTPO of VantageKit, an AI deal-intelligence platform, he grew it to 100+ business customers in its first year with no sales team.
Earlier, at Bonial (Axel Springer), he led data science and engineering on ML personalization for an app with 2M monthly active users, lifting conversion 1.8x. He is a guest lecturer at TU Berlin and a mentor at Techstars.
Univot brings that experience to every engagement. Peter leads every project and stays hands-on. For each project we add the senior engineers, designers or data specialists it needs from a vetted network, and introduce them before they start. Everything is documented in your own repositories, so your team or another partner can always continue the work.
How we are set up
Senior-led
Peter leads every project and stays hands-on, from the first call to handover. No junior teams learning on your project.
Vetted network
Senior engineers, designers and data specialists join per engagement, so the team fits the problem.
Independent of AI vendors
We pick the model for your problem, not for a partner tier. We do not resell any AI provider.
Who we work with
Founders
Build an AI product investors believe in, with an advantage that goes beyond a wrapper around a model.
SMEs
Your first AI win, explained without jargon, without hiring a data team.
Enterprise innovation teams
Move stalled pilots to a decision, with documentation built for risk and legal review.
Product managers
Add AI features users actually use, with evaluations that show quality release to release.
Why teams choose Univot
Builders, not advisers
We have built and launched ventures ourselves, two of which exited. We know what it takes to get AI into real use.
Honest go/no-go
If AI is the wrong answer, or a simple automation does the job, we tell you before you build.
Measured outcomes
We agree success metrics and a baseline up front, then measure accuracy, adoption and cost per task.
Find where AI pays off
Book a 30-minute call. We will ask about your goals, workflows and data, and tell you honestly whether we can help.