When Generative AI Alone Is Not Enough
Not every business problem can be solved with a language model. Prediction, planning, optimization and decision-making require AI techniques that go beyond text generation — and deliver results you can trust in production.
Composite AI combines generative AI with mathematical optimization, predictive machine learning, and domain-specific rules into integrated solutions. As a result, the systems don’t just generate content, but make decisions, optimize operations, and explain their reasoning.
At Unikie, we engineer these systems for industries where reliability, transparency and performance are non-negotiable.
Unikie AI Hub: our platform for Enterprise AI
Unikie AI Hub is Azure compliant and available via Microsoft Azure Marketplace.
Combining AI Techniques for Real Business Impact
We don’t just build AI applications — we engineer production-ready systems where each AI technique handles what it does best.
In our Composite AI solutions, Generative AI handles natural language interaction and explanation. Mathematical optimization finds the provably best solutions from millions of alternatives. Predictive machine learning provides data-driven forecasts. Domain rules and heuristics ensure business constraints are respected.
We’ve transformed our own processes and products with AI to get the competitive advantage and we can do it for you as well.
Showcase: AI-driven UI for Predictive Maintenance
The AI-driven user interface transforms predictive maintenance by delivering intelligent, user-centric interfaces that harness AI to forecast equipment failures and optimize upkeep schedules. It integrates real-time data analysis, ML models, and intuitive visualizations to provide actionable insights, minimizing downtime and extending asset lifespan. The result is enhanced operational efficiency, reduced maintenance costs, and empowered teams with proactive, data-backed decision-making. See the short demonstration.
