We build agentic AI systems that evaluate high-value cases, surface risks, and recommend decisions — on tenders worth up to 265 million, across ADNOC's 20+ operating companies. The AI does the analysis. Your people make the call.
AI systems that transform how decisions are made in procurement and engineering. All are in active use across 20+ operating companies.
All follow the same principle, AI accelerates the analysis, human owns the decision.
Supports tender and procurement committees on the highest-value cases, individually worth up to 265 million. It evaluates each case against the company's procurement policies, surfaces the risks a manual review would miss, and delivers a clear, reasoned recommendation while the committee makes the final call.
Automates the review of engineering equipment against ADNOC standards. It detects anomalies and deviations, recommends where to gain efficiency and reduce cost, and flags over-specified items where more is being paid than is actually needed, turning every review into an opportunity for savings.
The reason our AI is trusted inside regulated, high-stakes environments comes down to one principle: the human always decides. Our systems don't replace judgment — they sharpen it. The AI reads the full case, compares it against your policies and standards, flags the risks a manual review would miss, and delivers a clear, reasoned recommendation. But the final decision, and the accountability for it, stays with the authorized person or committee. This is what makes agentic AI acceptable where it matters most — procurement boards, engineering approvals, sovereign systems — where every decision must be explainable, traceable, and owned by a human.
Behind every system is our own R&D center, where — alongside two PhDs and professors from the Faculty of Technical Sciences in Novi Sad specializing in artificial intelligence — we continuously research and apply the latest advances in the field.
Our AI isn't a wrapper around a public chatbot. We build production systems — large language models, agentic systems, and RAG architecture — grounded in your documents, policies, and standards, so answers are relevant and defensible, not generic.
Built on proven enterprise technology — Azure, .NET, scalable cloud — and engineered for the demands of production in large, regulated systems. Our clients don't just buy today's solution; they gain a partner with the depth to keep them ahead of the curve.
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