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Kiraa.

Kiraa solves the problem of slow, unreliable, and human-dependent decision-making in mid-market enterprises, where dashboards, spreadsheets, and consumer AI fail to deliver trusted, timely insights.

Mid-market manufacturing, logistics, and retail companies run highly complex operations but are massively underserved by enterprise AI. This segment represents hundreds of thousands of businesses globally with strong willingness to pay for real productivity gains.

Kiraa replaces the entire analytics stack. Instead of SQL, dashboards, and reports, it delivers always-on, hallucination-free intelligence built on a patent-pending Analytical Dataframe that continuously computes knowledge.

Kiraa does not guess or generate answers probabilistically. It computes insights only from verified enterprise data and defined business logic, making outputs deterministic, explainable, and auditable by design.

The moat is technical and structural: a patent-pending architecture, elimination of SQL, on-premise execution on Apple silicon, and continuous computation. This combination is difficult to replicate and improves as more industry problems are solved.

Kiraa is in-market with committed foundation customers across manufacturing, logistics, and retail, proving demand in complex, real-world environments. The company has a research partnership with Charles Sturt University supporting its patent and ongoing development. Alongside its core market, Kiraa is progressing select white-label opportunities in mining and insurance. Since releasing the v4 algorithm, Kiraa has built a A$5m qualified pipeline in six weeks, demonstrating strong market pull and readiness to scale.

Kiraa operates a fixed annual enterprise licence model, priced based on the value of the problem being solved, not per-user fees. Typical contracts target ~A$250k ARR, delivering a strong value exchange.

Enterprise AI is the fastest-growing software category in history, yet cloud-centric AI is hitting limits around cost, energy, trust, and hallucination. Kiraa is positioned at the shift toward on-premise, trusted enterprise AI.

The founders bring 30+ years of experience in manufacturing and analytics, including major industrial turnarounds. This is technology built from lived enterprise reality, not experimentation.

The current focus is scaling across Australia's mid-market, followed by expansion into the United States from 2027, using a repeatable, configuration-led model and selected white-label partnerships.