Why We Build Ventures (and Why Tekniti AI Just Won a Prize)

Most AI consultancies advise. We deliver. And sometimes, when we see a structural gap in a market, we build product into it.

Tekniti AI is one of those bets.

England's Renters' Rights Act has rewritten the rules for roughly 2.3 million landlords and the letting agents who serve them. The legislation introduces 18 classes of compliance obligation, new statutory forms, an expanded penalty regime, and a national property portal. Most of the market is not ready for it, and the tools they currently rely on were built for a simpler regulatory era.

But compliance is only the visible problem. The deeper problem is leverage. Property management today scales linearly: more units means more manual admin, more certificate tracking, more regulatory upkeep, more headcount. That is a broken model, and it is one that AI is unusually well suited to fix.

Tekniti AI puts property compliance on autopilot. It monitors regulatory obligations, tracks documentation, flags gaps before they become penalties, and keeps landlords and letting agents audit-ready without requiring a dedicated compliance team. The goal is that a landlord managing fifty units can operate with the same compliance rigour as a managed portfolio with a full back-office, except without the back-office.

For landlords, that means fewer sleepless nights before an inspection. For letting agents, it means the ability to grow their portfolio without growing their overhead at the same rate. For both, it means getting out of the business of compliance administration and back to the business of property.

On 12 May, Bayseian co-founder Aamir Faaiz pitched Tekniti at the Soyoye Entrepreneurship Prize. The judging panel included Babatunde Soyoye (Co-founder & Managing Partner, Helios Investment Partners — Africa's largest private investment firm, with over $7 billion in completed investments across four continents), Dr. Pahini Pandya (Founder & CEO, Panakeia — an AI pathology company that profiles cancer biomarkers from tissue images in minutes), and Michael Stothard (Principal, Firstminute Capital — a $500m seed fund backed by 130+ unicorn founders, with portfolio companies including Mistral). They assessed on commercial potential, traction, business model, technology, and founder-market fit.

Tekniti AI was named among the winners.

The Soyoye Prize has a meaningful track record. Panakeia, a previous winner and itself a Soyoye alumnus, has raised £7.4 million and reached $2.5 million in annual revenue since winning in 2019. That kind of trajectory is exactly what we are building towards.

Tekniti is not a side project. It is the clearest expression of how we think about venture building from within a services firm. Services revenue funds the R&D, client engagements surface the use cases, and the venture captures the recurring value. We see a market with strong regulatory tailwinds, weak incumbent tooling, and a customer base that is actively looking for a better answer. We build into that gap, using the same delivery muscle and AI engineering capability that powers our client work.

More on Tekniti's progress soon. Read the full announcement or learn more at tekniti.ai.