Fluree AI gives every app and AI agent the same trusted context from your company data. Ask questions and get cited, verifiable answers from one live data layer, with permissions checked on every request. Instead of rebuilding prompts or relying on RAG guesses, Fluree queries structured data directly and connects to MCP-ready agents, dashboards, and apps in minutes.
The backstory:we spent years building governed, verifiable graph data infrastructure for enterprises — provenance, permissions, cryptographic audit trails, the unglamorous stuff.
Then LLMs arrived, and suddenly the entire world had our problem: AI that's brilliant at language and terrible with data. Hallucinated numbers. Context that resets every conversation. Five tools, five silos, five versions of the truth.
Fluree AI is our answer: an intelligence layer that sits under everything you build. Here's the flow:
Throw everything at it. CSVs, databases, docs, SaaS exports. Fluree classifies your data and connects the dots automatically — the graph builds itself.
Plug in any AI. Claude, OpenAI, Gemini, Ollama — any MCP-speaking agent reasons over the same graph. No tools yet? Ours is built in.
Get answers you can prove.Responses are structured queries against the graph, not generated guesses — so every answer is cited, permissioned, and reproducible. If the data is correct, the output is correct.
Build unlimited interfaces on one foundation. This is the part that changes how you work: ask a question, then say "make that a dashboard," then "turn it into an app my team can use," then "deploy an agent that watches this." Chats, dashboards, apps, and agents all read from — and write back to — the same governed graph. You stop rebuilding context in every tool. It compounds instead.
Most software starts from the UI and traps your data underneath it. We think the future starts with the right data + context — and then any interface you want becomes cheap to build and safe to trust.
Getting started takes ~2 minutes: sign up free, drop in a dataset (messy is fine — that's the point), and ask your first question. No demo call, no sales gate.
I'll be in the comments all day with our engineering team. Ask us anything — and if you think "cited, verifiable answers" sounds too good, please come try to break it. Genuinely. That's the fun part.
About Fluree AI on Product Hunt
“Give every AI agent trusted context”
Fluree AI launched on Product Hunt on July 24th, 2026 and earned 324 upvotes and 77 comments, earning #3 Product of the Day. Fluree AI gives every app and AI agent the same trusted context from your company data. Ask questions and get cited, verifiable answers from one live data layer, with permissions checked on every request. Instead of rebuilding prompts or relying on RAG guesses, Fluree queries structured data directly and connects to MCP-ready agents, dashboards, and apps in minutes.
On the analytics side, Fluree AI competes within Developer Tools, Artificial Intelligence and Data — topics that collectively have 993.2k followers on Product Hunt. The dashboard above tracks how Fluree AI performed against the three products that launched closest to it on the same day.
Who hunted Fluree AI?
Fluree AI was hunted by Ben Lang. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Fluree AI including community comment highlights and product details, visit the product overview.
Ben Lang
Hey Product Hunt — Brian here, CEO of Fluree.
The backstory:we spent years building governed, verifiable graph data infrastructure for enterprises — provenance, permissions, cryptographic audit trails, the unglamorous stuff.
Then LLMs arrived, and suddenly the entire world had our problem: AI that's brilliant at language and terrible with data. Hallucinated numbers. Context that resets every conversation. Five tools, five silos, five versions of the truth.
Fluree AI is our answer: an intelligence layer that sits under everything you build.
Here's the flow:
Throw everything at it. CSVs, databases, docs, SaaS exports. Fluree classifies your data and connects the dots automatically — the graph builds itself.
Plug in any AI. Claude, OpenAI, Gemini, Ollama — any MCP-speaking agent reasons over the same graph. No tools yet? Ours is built in.
Get answers you can prove.Responses are structured queries against the graph, not generated guesses — so every answer is cited, permissioned, and reproducible. If the data is correct, the output is correct.
Build unlimited interfaces on one foundation. This is the part that changes how you work: ask a question, then say "make that a dashboard," then "turn it into an app my team can use," then "deploy an agent that watches this." Chats, dashboards, apps, and agents all read from — and write back to — the same governed graph. You stop rebuilding context in every tool. It compounds instead.
Most software starts from the UI and traps your data underneath it. We think the future starts with the right data + context — and then any interface you want becomes cheap to build and safe to trust.
Getting started takes ~2 minutes: sign up free, drop in a dataset (messy is fine — that's the point), and ask your first question. No demo call, no sales gate.
I'll be in the comments all day with our engineering team. Ask us anything — and if you think "cited, verifiable answers" sounds too good, please come try to break it. Genuinely. That's the fun part.