Chion

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Chion is an AI-native analytics platform that compiles your team's verified PostgreSQL queries into a portable skills library — and the chat surface to use them.

07/16/2026

The LLM physically cannot mutate your data, because the database enforces it, not our prompt.

Chion connects with a read-only role you grant: SELECT only, capped at a fixed row limit, RLS honored. The model sees schema metadata, never your rows.

It can't mutate your data because the role it runs as can't, and it can't drain your warehouse because the row cap won't let it. That's the design, not a guardrail you hope holds.

07/15/2026

Trade weeks of ETL for a read-only connect in minutes. No migration.

On AWS, Azure, GCP, Neon, Supabase, or self-hosted, Chion compiles a Claude-ready foundation on top of the Postgres you already run.

The connection is read-only, so the model can't touch your rows.

07/14/2026

Days versus minutes. Watch the bars grow and the gap is impossible to unsee.

Time to first verified answer is the metric that matters: Looker days, Tableau AI and Power BI Copilot hours, Raw LLM + ETL days of wiring it up, Chion minutes. That is where the ↑99% faster comes from, scoped to that one metric and benchmarked against the named industry.

Chion lands in minutes because the verified query already exists. You reuse it, not rebuild it.

07/13/2026

A number you can act on takes Chion minutes, not the days a warehouse rebuild costs. That gap is what "↑99% faster" measures.

Time to first verified answer: Looker days. Tableau AI and Power BI Copilot hours. Raw LLM + ETL days. Chion minutes. Scoped to that one metric, against the named industry.

It's not a faster model. The verified query already exists, so you reuse proven logic instead of regenerating it on every question.

07/10/2026

Every number you act on should trace to a query a human signed. Every text to SQL tool skips that.

Julius, TextQL, and Vanna all generate SQL no one on your team authored. Different setup, same gap.

Chion runs the query your analyst already verified instead, never rewritten. Each figure has a named, human-authored source.

07/09/2026

200 analysts. 4,000 verified queries. Watch them compile into six skill packs you own.

Chion takes the queries your org already trusts, each one already through a verifier gate, routes them by ownership into six departments, and packs each into a portable skill pack, exportable to any LLM.

Not a model you rent and lose when the contract ends. Your team's intelligence, packaged into something you own.

07/08/2026

Act on the number without re-checking it, because no AI ever wrote the SQL behind it.

The whole product is three moves: Generate, Ask, Insight. Chion distills your verified queries into skills, routes your plain-English question to the one that answers it, and returns a chart with a grounded narrative, every figure traced to the SQL above.

No invented SQL. Every insight reuses a query a human already approved.

07/07/2026

Two equal paths, and you pick. Chat with your verified SQL inside Chion Studio: ask "Q3 revenue by region?" in plain English, get a chart back.

Or hit Export Skills and drop the whole library into the tool your team already uses: Claude, Codex, Cursor, or Gemini.

Same verified skills either way. You own the data and pick the interface, because anti-lock-in is the thesis here, not a feature we tacked on.

07/06/2026

Every number on this screen traces back to the exact query that produced it.

In Chion, a verified query is frozen as a reusable skill (here, "Economic Trends"). Ask it and Chion re-runs the frozen query, never a new one, so the narrative "NASDAQ +80% vs U.S. GDP +46%" reads off a result a human already signed off on.

That's the difference between an answer you re-check and one you paste straight into the deck.

07/03/2026

Your team's analytics intelligence shouldn't be trapped inside one vendor's tool.

Chion compiles your analysts' verified queries once into a CHION.md skill library, a typed, portable contract, then runs it wherever your team already works: Chion Studio, Claude, OpenAI's Codex, Cursor, or any LLM via MCP.

Compile once. Run anywhere. One click on Export and the same verified logic travels everywhere, with nothing held hostage if you switch tools.

Address

Pembroke Pines, FL
33028

Telephone

+13059654222

Website

https://www.linkedin.com/company/chion-ai, http://chion.ai/, https://www.youtube.com/@chionai, https://github.com/jonfda

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