In 2025, the tech world became obsessed with AI agents, tools meant to automate workflows and help people make decisions.
But in business analytics, that’s rarely the real problem that needs solving. In fact, automating a bad process with AI is just spending good money after bad.
AI Agents are like taking an Uber: it saves you the hassle of driving and parking, but it’s still point-to-point, stop-start, and hard to scale.
Kiraa is a high-speed train: direct, fast, and built for scale.
We focus on workflows instead of agents because, in corporate, I learned the real work isn’t the final analysis. It’s the preparation needed to get data into a usable, decision-ready state.
Analytics teams can spend days “schmoozing” data into the right format.
For example, processing 1 million rows of sales transactions with standard data science tooling, then producing analytics across 10,000 customers and 100,000 products, can easily take 12 to 48 hours of solid processing on a standard Windows machine.
With Kiraa, I’ve compressed that down to under 10 minutes through powerful algorithms that have taken me years to perfect.
That’s at least 80× faster time to insight than traditional workflows.
And at that speed, everything changes.
High-quality information becomes immediately available for AI and for humans. That means deep reasoning and analytics, not lookups and pivot tables.
There’s no need for agents to bridge the gap, the hard work is already done, which means people can spend more time doing what they do best: judgement and decision-making.
That’s the beauty of Kiraa.
There’s a massive problem in the AI world that almost nobody is talking about: unit economics.
Unit economics is simply what it costs, end to end, to answer one more question using AI.
Right now, those unit economics are impossible to know because AI pricing is heavily subsidised to drive adoption.
Big tech is in a gold rush for dominance, so prices are kept low, often close to variable cost, while the massive data centre investment sits in the background.
At some point, those costs will be recovered, and pricing and packaging will reset.
That creates a real risk for businesses: if your AI use case only delivers marginal gains, today’s “win” can flip into tomorrow’s loss when prices rise.
This will hit Copilot-style rollouts, RAG-heavy workflows, and token-hungry systems that scale quietly behind the scenes.
That's why we built Kiraa using an entirely different architecture.
Opportunity 🚀 and Risk ⚠️
Enterprise AI represents both the greatest opportunity and the greatest risk facing business today. The productivity gains are transformative, but they come with significant disruption to society and enormous pressure on our energy infrastructure.
Kiraa addresses both challenges by delivering smart, safe and sovereign AI capability that empowers businesses without the complexity, cost or dependency of traditional approaches.
Our Product 📦✨
Kiraa is Knowledge Infrastructure which replaces today’s energy-intensive and complicated technology AI data pipelines. We work with industry partners to solve industry high-value problems, create standard industry solutions.
The solution is powered by a technical innovation known as an analytical dataframe. This technology generates knowledge 38x faster and cheaper than existing consumer AI technology, but eliminates the risk of hallucination.
Our Values 🌱
Kiraa was born from personal tragedy. Our founder, @errol.insp.social , experienced catastrophic knowledge loss when a key team member passed away suddenly, leaving an almost impossible gap in critical expertise.
Kiraa imagines a future where businesses use intelligent, on-device AI to reduce cognitive burden. This augments human capability and empower employees to do their best work.
