Rainbird

Rainbird is an AI decisioning platform that combines symbolic reasoning with knowledge graphs to deliver deterministic, auditable, and hallucination-free outcomes. It transforms regulations, policies, and human expertise into world models as knowledge graphs, then reasons over them with a symbolic reasoning engine. Large language models serve only as the natural language layer, ensuring zero hallucinations and 100% deterministic reasoning. The platform provides regulator-ready audit trails through proof trees that show exactly how each decision was logically reasoned. It is designed for enterprise scalability and is proven in mission-critical processes across banking, financial services, insurance, tax, and other regulated sectors.

Key Features

• Zero hallucinations – every outcome adheres precisely to institutional knowledge.
• 100% deterministic reasoning – repeatable precision, traceability, and compliance.
• Regulator-ready audit trails – proof trees show how each decision was logically reasoned.
• Enterprise-grade scalability – proven in mission-critical processes.
• Hybrid approach – combines usability of generative AI with reliability of logical reasoning.

Key Benefits

• Zero hallucinations, 100% deterministic outputs
• Fully auditable with regulator-ready proof trees
• Enterprise-grade scalability for mission-critical processes
• Hybrid approach combining symbolic reasoning with LLMs for usability