Humanizing machines
By humanizing machines we mean making machines learn, memorise and use knowledge like humans, decode user statements and understand intentions and apply logic in its knowledge base to respond to user queries and commands.
For humanizing machines we make use of a powerful, patented framework called SPROSE. The acronym stands for Structured Problem Solving Engine. Using SPROSE we build trustworthy, production-ready intelligence for code, robots, agents, and connected devices.
SPROSE - Structured Problem Solving Engine
What SPROSE does
SPROSE models human intentions, encodes step-by-step logic, and stores it in structured memory. The system executes deterministic reasoning to produce predictable, verifiable results, unlike probabilistic LLM outputs.
Why it matters
When machines make decisions in critical systems like robots, aerospace, healthcare, or finance,predictability and explainability are non-negotiable. SPROSE gives engineers a reasoning engine they can test, audit, and deploy with confidence.
Applications snapshot
Hallucination-Free Code Generation
Reliable code for training, IDEs, and software production.
Robotics
Robots that learn, adapt, reason and extend their logic safely.
AI Agents & IoT
Agents that understand goals; devices that decide at the edge.
Credibility
- Patent filed: SPROSE is a proprietary, patent-protected core framework.
- Research & engineering first: Designed for reliability, explainability, reproducibility, and safety.
- Built to scale: From single devices to enterprise deployments and billions of endpoints.