Grace AI Platform

The client’s research team was drowning in information. They had data in Oracle databases, research from web sources, and documents from multiple APIs — but no unified way to search, validate, or expand their knowledge base intelligently.

They were spending 6+ hours daily on manual research tasks that should have taken minutes. The core problem was not a lack of data — it was a lack of trust in the data. They needed AI that could tell them not just what it found, but how reliable it was.

We built a trust-aware knowledge expansion engine — a system that does not just retrieve information but scores it for credibility before surfacing it to the user. Every result is tagged with a trust score based on source authority, recency, and cross-reference validation.

The platform integrates Oracle DB (their existing data), Kimi Moonshot API (for long-context AI reasoning), and real-time web search — unified in a single interface where researchers can query in natural language.