Building the trust infrastructure for enterprise AI — one verified response at a time.
Every day, businesses deploy AI agents that make decisions, answer customers, and execute actions. But how do you know when an LLM is hallucinating? How do you ensure an agent only does what it's allowed to? How do you prove compliance after the fact?
GroundKeeps is open-source middleware that sits between your application and any LLM, verifying every output against your data and enforcing policies on every action. Born out of the reality that embedding-based hallucination detection has a near-100% false positive rate, we built a reasoning-based approach that actually works.
MIT-licensed. No black boxes. You can audit every line of code, self-host on your own infrastructure, and customize to your needs.
Every claim verified, every action guarded, every decision logged with SHA-256 chains. Built for EU AI Act, HIPAA, and SOC 2 from day one.
Engineered and maintained from India, serving a global enterprise market. Remote-first, open-first, quality-first.
Works with OpenAI, Anthropic, Gemini, Groq, Ollama, and more. Swap models without changing code. No vendor lock-in.
GroundKeeps started with a simple observation: enterprises were adopting LLMs faster than they could build guardrails. The existing solutions were either SaaS-only (data leaves your network), used unreliable embedding methods (high false positives), or were too complex to integrate.
We built a drop-in proxy that adds grounding, guardrails, and auditing to any LLM — installable in under 5 minutes with a single docker compose up. No API keys to buy, no data to share, no vendor lock-in.