TrustGraph transforms raw enterprise data into AI-ready intelligence by automating knowledge graph construction driven by domain ontologies. This process creates structured knowledge cores that significantly reduce AI agent hallucinations by providing precise, verifiable context. The platform enables the deployment of accurate, private AI agents entirely within the user's infrastructure.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises struggle to integrate and manage data across disparate silos, hindering the reliability and accuracy of large language model (LLM) responses. This complexity makes it difficult to generate effective AI agents that can automate workflows and derive data-driven insights.
Solution
This startup offers an open-source AI infrastructure as code platform designed to optimize data management and enhance the reliability of LLM responses. The platform breaks down barriers between data silos, uncovering relationships and improving data storage and access. It enables the generation of AI agents that automate and accelerate workflows by leveraging data-driven insights, all without requiring complex coding. By providing enterprise-grade reliability for both backend services and LLM outputs, the platform unlocks the full potential of an organization's data.
Target Audience
The primary target audience includes enterprises seeking to improve the reliability and accuracy of their LLM-powered applications and automate workflows using AI agents.
Features
- Open-source AI infrastructure as code platform
- Optimized data management across silos
- Enhanced reliability and accuracy of LLM responses
- AI agent generation for workflow automation
- Low-code environment for simplified development
- Support for Pinecone vector database