Your agents are only as smart as the context you give them. Corvic AI turns your messy, scattered data: Slack threads, PDFs, docs, databases into a living knowledge backend: relational knowledge graphs with Memory, structured extraction with Lens, and grounded context served straight to your LLMs through MCP. Less hallucination, more real answers. Then build dashboards and custom apps on top, with no separate database and no extra infra to manage.
Hey Product Hunt! 👋
I'm Gurbinder, co-founder of Corvic AI. We started this three years ago after watching teams burn months wiring together vector DBs, graph DBs, and ETL scripts just to give their LLMs decent context and still ending up with hallucinations and search that never finds the right thing.
Corvic connects to your data, automatically builds relational knowledge graphs (Memory), extracts structured fields from documents (Lens), and lets you build and deploy custom apps and dashboards with no separate database, no extra infra to manage.
We spent years working with enterprises and learned a lot, but developers and small teams move faster and give us sharper feedback, that's who we're building for now.
Try it at app.corvic.ai. Would love to hear what you think, especially where it breaks or falls short. 🙏