An AI systems studio for
work that has to hold up.
Most AI projects die in the gap between demo and deployment. We build the system around the model — architecture, retrieval, evaluation, guardrails, monitoring — so an enterprise can actually run it.
To be the studio enterprises trust with the AI systems they cannot afford to fail — the layer between frontier models and production reality.
To engineer production-grade AI systems for organisations that need inference, retrieval, and agentic workflows to work every time — not just in demos.
Foundation meets Frontier
The discipline behind the work: production-grade engineering paired with frontier AI. Neither on its own is enough — reliable systems that don’t think, or clever demos that fall over in production. We pair both, and hold every build to the standard of running unattended after we’ve moved on.
Enterprise AI Studio
We partner with organisations to build inference architecture, retrieval systems, and agentic workflows — from a scoped proof to a production-grade system.
Venture Incubation
We build and operate our own products in the same space — Omos, ExamSurf, Sydence, AI Kraft. They are our proof, and our R&D feeds back into client work.
Foundation meets Frontier
We pair production-grade engineering discipline with frontier AI. Neither on its own is enough — reliable systems that don't think, or clever demos that fall over in production.
Production over demos
A model call that works once in a sandbox isn't a system. We hold every build to the standard of running unattended, under real load, after we've moved on.
Proof over promises
We'd rather point to a product that ships than a slide that sells. Our own portfolio is the evidence.
Purposeful building
We don't build for its own sake. Every project, feature, or experiment has to trace back to a real, validated problem — not a demo built to impress.
Honest scope
We start small on purpose, prove value on a real problem, and tell you early if something isn't a fit.
Built for the long term
We design modular, reusable foundations meant to compound over years — for our own ventures and for what we hand off to partners — not just ship and move on.
A lean, senior core
Work is driven from a small, senior core that stays close to the engineering. Decisions land fast; the craft stays consistent across everything we ship.
Scales with specialists
Rather than carrying a large fixed team, we bring in trusted specialist collaborators for the shape of each build — capacity flexes to the problem, not the other way round.
We build our own
Alongside client work we operate our own products. The same engineering discipline runs both, and each sharpens the other.
Oluwadamilola Oladunni
Founder and CEO of PegBit Technologies. An AI-native engineer building the systems that put frontier models into production — closing the gap between AI demos and AI that survives real load, real data, and real enterprise stakes. Leads the studio and its four products: Omos, ExamSurf, Sydence, and AI Kraft.
Alexander Akinyomola
Co-founder and Head of Engineering. Leads the engineering core — the Omos platform build, the delivery unit, and the technical standard every build ships against.
If your problem involves AI that has to survive production, that’s our domain.