An AI-native conversational BI platform: ask questions in plain language across Postgres, BigQuery, and more, and ship dashboards in seconds — no SQL required.
Most BI tools assume you already know what to ask. Bingo assumes you don't — and helps you find it.
The bottleneck nobody talks about
Every company is sitting on data — in Postgres, MySQL, BigQuery, a pile of CSVs, ad platforms, the works. The data isn't the problem. Getting an answer out of it is. The exec has a one-line question. Two days later, after a Slack scramble and some hand-written SQL, they get a chart. By then they've moved on.
Bingo exists to collapse that gap from two days to one chat message.
What is Bingo?
Bingo is an AI-native, conversational BI platform. You ask questions about your data in plain language, and Bingo returns dashboards, charts, and insights — without anyone writing a line of SQL.
It connects across your databases (Postgres, MySQL, BigQuery, SQLite), spreadsheets (CSV, Excel), and sources like Notion and Facebook Ads, then lets you simply talk to all of it through one interface.
Under the hood it's built on FastAPI, LangGraph, and Qdrant from day one — not a thin wrapper bolted onto a legacy dashboard tool. Every capability is native, not a plugin.
Status: Bingo is currently in beta — SOC-2 bound, with SSO, role-based access, and a self-host option.
How it works: three steps, zero SQL
01 — Connect. Drop in a Postgres / MySQL / BigQuery credential, or upload a CSV. Bingo introspects the schema and embeds it.
02 — Ask. Type a question. An orchestrator routes it to the right agent — data, dashboard, or RAG — and streams the answer back in real time.
03 — Ship. Pin the result to a dashboard, share the link, schedule it, set alerts, and move on.
The agent system is the clever part: an orchestrator delegates to specialized sub-agents (data, dashboard, RAG, monitor) so no single prompt is trying to do everything at once. That's what keeps answers accurate as questions get complex.
How Bingo helps enterprise teams
Bingo is built for everyone on the data loop, not just analysts. Here's how it lands for each role:
Business users — "I can't write SQL and I don't want to." They ask Bingo what they need and the numbers show up, no ticket to the data team required. Zero SQL, zero training.
Data analysts — Instead of being a SQL vending machine for ad-hoc requests, analysts hand the routine questions to Bingo and reclaim their week for the analyses that actually need a human. (One analyst reported reclaiming ~14 hours a week.)
Ops / RevOps — Cross-system questions that used to mean a two-day scramble across, say, HubSpot and Postgres become a single chat message. Reporting gets multiple times faster.
Executives — A one-line question gets a one-line answer. No dashboard hunting, no training.
The pattern across all of them: Bingo removes the human bottleneck between having a question and getting an answer.
Benefits that matter to the enterprise
Your raw data stays yours. Rows never leave the Bingo environment. Only the minimum context — schema hints, column types, your question — is ever sent to an LLM provider. The provider sees intent, not your tables.
Self-host and air-gap. Enterprises can ship the entire stack inside their own cloud, with an air-gapped option for the strictest environments.
Bring your own LLM. OpenAI, Anthropic, or Ollama for fully local / on-prem models — switching providers is a config change, not a re-wiring job. No lock-in to a single AI vendor.
Every database, one plane. Stop context-switching between tools. Postgres, MySQL, BigQuery, SQLite, CSV/Excel, Notion, and Facebook Ads all answer to the same conversation.
Security built in. SOC-2 bound, SSO authentication, role-based access, and audit logs. Bingo respects the credentials you give it — the recommended setup is a read-only role per workspace, scoped to only the schemas it's allowed to see.
Open source, no black box. Bingo is MIT-licensed and fully open source — read it, fork it, audit the code, contribute plugins, or run it air-gapped. No vendor lock-in.
The necessary details
Connects to: PostgreSQL, MySQL, BigQuery, SQLite, CSV / Excel, Notion, Facebook Ads, plus OpenAI, Anthropic, and Ollama for the LLM layer. Infra integrations include Qdrant, Redis, Celery, Supabase, SSO, Telegram, and S3. Snowflake, dbt, and Slack are on the roadmap.
Stack: FastAPI + Postgres + Qdrant + Redis + Celery, with a drag-and-drop dashboard layer (GridStack) and RAG over your schemas, docs, and past queries. Ships as a Docker Compose stack — one command to stand the whole thing up.
Find it:
- Try it: https://chat.thebingo.ai
The bottom line
BI tools have spent a decade making dashboards easier to build. Bingo's bet is different: stop building dashboards, start asking. Connect your warehouse, ask in plain English, ship the answer to a board, and get back to work.
Bring your data. See what it's been hiding.