Founder-owned, London, accountable for what we run
Applicat AI is a frontier applied AI company, founded in London in 2026 and owned by the people who run it. We put frontier models to work inside mid-sized enterprises one process at a time, on the client's own systems, and we stay with each system after it goes live. The company is young. This page sets out who runs it, how an engagement is staffed and what we commit to.
- Founded
- 2026
- Headquarters
- London, United Kingdom
- Founders
- Luka and Marko
- Ownership
- Founder-owned, independent
Mission
The real economy runs on documents, requests and decisions.
Banks, operators, manufacturers, hotel groups, professional firms and public bodies do their work in paperwork, queues and judgment calls. Our mission is to have frontier models doing a real share of that work in production, measured against a number the business already tracks, and getting better while they run.
How the company started.
Applicat AI was founded by Luka and Marko Kokot with the team behind BroadVision Technologies, a global IT services company with more than 26 years of enterprise delivery across the United Kingdom, Europe and Africa. That heritage matters for one reason. We have spent decades being answerable for systems that businesses depend on every day, and AI has not changed what being answerable means.
The company started from a pattern we kept seeing. Frontier models had become capable enough to do real work, and organisations were still stuck between a demonstration that impressed everyone and a production system that never arrived. The missing piece was never a better model. It was a team that would work out which use case was worth doing, prove it on real data, build it to the standards your security review applies to everything else, and then own it once it was live.
We are independent by design. The founders hold the company, and no AI lab, cloud provider, consultancy or investment fund holds a share of it. In the year the labs and the clouds became deployment companies themselves, that is what lets us choose a model by testing it, and keep what we learn about a client inside that client.
We build for mid-sized enterprises and we go to them directly. Their operations are large enough for an AI system to move a number leadership already watches, and they can still decide in a room instead of across a year of committees. The deployment arms of the AI labs and the global consultancies were not built to serve them, which is the gap we were built for.
And we are new. Applicat AI was founded in 2026, which is a fact a buyer should weigh, so we put it near the top of this page. What a young company can offer in place of a logo wall is everything about itself that can be checked today, and an introduction to someone who has worked with us.
Six commitments we make on every engagement.
01
Production over demos
A system that is not in production has created nothing. We measure ourselves on what runs.
02
Evidence over opinion
Model choices, go-live decisions and scope changes are settled by results from tests built out of your own cases.
03
Judgment stays human
Agents take throughput and synthesis. People keep accountability, taste and the decisions that carry consequence.
04
Build on the frontier, independently
We use the most capable models any lab has, chosen by testing, and design the system so that next year's model is an upgrade you can prove in an afternoon.
05
Own the outcome
The team that frames the work builds it and runs it. There is no hand-off where responsibility goes missing.
06
Sized for the organisations we serve
Mid-sized enterprises get the engineering depth usually reserved for the largest accounts, in engagements scoped to their operations and their budget.
Leadership
Technology executive and entrepreneur. Electrical engineer by training, with a Master's degree in AI and management. Luka leads global IT services and platform businesses across the United Kingdom, Europe and Africa, and founded Applicat AI to close the gap between what frontier models can do and what is actually in production inside organisations.
Electrical engineer, trained at Queen Mary University of London and currently reading for a Master's in Applied Machine Learning at Imperial College London. Marko oversees technology at Applicat AI: how systems are built, which models earn their place in them, and what has to be true before anything reaches a client's users.
Four named roles, one team that stays.
You meet the people who will do the work before you sign, and the same team carries it from the first workshop to the monthly report.
01
Engagement lead
A senior practitioner who owns the outcome end to end, runs the decision points with your sponsor, and has the standing to put a recommendation against a use case in writing.
02
Forward-deployed engineers
Applied AI engineers who work inside your teams and your tools to frame, prove and build the system, and who hand what they build to your own people as they go.
03
Solution architect
Accountable for how the thing is put together: the model layer, the integrations, who is allowed to see what, the safety limits, and the tests every change has to pass.
04
Operations engineer
Joins at Deploy and stays for Run: watching quality and cost, re-testing after every change, managing model upgrades and answering the phone when something breaks.
Careers
We hire engineers who want their name on something that runs. We are a distributed team with headquarters in London. Roles open at the moment:
- Forward-deployed applied AI engineerLondon or remote (UK, Europe, Africa)
- Applied AI solutions architectLondon or remote
- Applied AI operations engineerRemote
- Applied AI engagement leadLondon or remote (UK, Europe, Africa)
To apply, email info@bivi.tech with the role in the subject line.
FAQ
About Applicat AI
Bring the frontier into production.
Tell us about the process you want to change. We reply within one business day.