An AI solutions provider & venture studio built for production.
Most AI projects die in the gap between demo and deployment. We build the complete system around the model — architecture, permission-aware retrieval, evaluation, cryptographic action logging, and multi-platform applications — both for our own products and for external clients.
To engineer the production intelligence layer enterprises trust with mission-critical systems, while launching transformative ventures that shape the future.
To bridge the frontier of AI research with resilient production software — building proprietary B2B infrastructure, market ventures, and custom systems for ambitious clients.
Enterprise AI Platforms
Software that organisations deploy inside their own environment — PegBit Witness (cryptographic SHA-256 AI action logging), PegBit Core (vendor-neutral production layer), and Sydence (studio operating system).
Consumer Ventures
AI-native products we take to market ourselves — Omos (evidence-first AI fund manager), ExamSurf (CBT simulator & AI tutor), AI Kraft (culturally-grounded content engine), and Awaaz (live AI sports commentary).
Client Systems & Engineering
When ambitious external organisations need an AI workflow, member commerce network, or cross-platform application conceived and built end-to-end — such as KAWOMcommerce and GlobalPrayerAltar.
Foundation meets Frontier — encoded in the HexBit mark
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.
Our logo is a direct diagram of that architecture: a six-sided sovereign boundary enclosing two filled core bits (■) — PegBit Core and PegBit Witness — and two open application sockets (□) where our market ventures and client platforms plug in.
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 run what we sell
Alongside client work we operate our own B2B and B2C products. The same engineering discipline runs both, and each sharpens the other.
Oluwadamilola Oladunni
Founder and CEO of PegBit Technologies. An AI-native systems architect building the infrastructure that puts frontier models into production — closing the gap between AI demos and systems that survive real load, real data, and regulatory audit. Leads the studio across its B2B platforms (PegBit Witness, PegBit Core, Sydence), B2C ventures (Omos, ExamSurf, AI Kraft, Awaaz), and client builds.
Alexander Akinyomola
Co-founder, running infrastructure and operations across the studio and its products — the Vercel, Supabase, and cloud estate everything ships on, deployment reliability, and the operational standard each build is held to.
If your problem involves AI that has to survive production, that’s our domain.