NewThe Agent Didn't Get Smarter. The Context Did.

Agentic GenBI · Open context layer

Your data.
Your definitions.
Trusted answers.

Ask in plain language, get governed answers. Your definitions live in a context layer you own, and agents use the same one.

17,755#1 GenBI on GitHub

Open source · 20+ data sources · Cloud, VPC, or air-gapped on-prem · In Slack, Teams and Claude

Trusted by data teams worldwide

Why Wren AI

Generic AI borrows your definitions. Wren AI keeps them in your repo.

Every answer resolves through a context layer your team defines and versions in git. People and agents never drift from it, and you can prove it.

Agentic Design01

Not just chat. Sandboxed, multi-step reasoning.

Tools and scripts run inside an isolated environment.

Agents query through your context layer, chart, extract from PDFs, build dashboards, and save skills.

Every step is traceable and replayable, and accuracy is benchmarked against ground-truth SQL.

SANDBOX · ISOLATED RUNTIMERUN #4821 · REPLAYABLE›Which regions drove Q3 margin?context.lookup"gross margin"→ margin = (revenue − cogs) / revenuesql.runvalidated→ 12 rows · 0.8 s · matches ground truthchart.barregion, margin→ rendered to artifactskill.save"q3-margin-by-region"→ reusable on the next askARTIFACTNAEUAPACLATAMMEASKILLTRACEEVERY STEP REPLAYABLE
Unified Data Policy03

Row- and column-level security, enforced at query time.

One policy covers the UI, API, Slack, Teams, and MCP clients such as Claude.

Role-based access with full activity logs: who saw what, and which query produced which number.

Built for finance, healthcare, and manufacturing teams that answer to auditors.

MCP · Claude · role: analyst-EMEAApp · CFO · role: finance-allAppAPISlack·TeamsMCPONE POLICYregionrevenuessnEMEA1.2M412-88-1937•••-••-1937APAC0.9M305-41-8820•••-••-8820EMEA0.7M118-62-4473•••-••-4473NA1.5M527-09-3316•••-••-3316EMEA0.4M260-77-5190•••-••-51903 of 5 rows · ssn masked5 of 5 rows · ssn maskedAUDIT LOGanalyst-EMEA3 rows · maskedvia MCP · 14:02cfo5 rows · maskedvia App · 14:02
For executives and the teams that report to them

From one prompt to a live dashboard your leadership team can act on.

Ask in plain language and Wren AI builds a real-time dashboard on your governed data, with drill-down, roll-up and global filters built in.

Wren AI
HC
Campaign Strategy dashboard
✦

ASK WREN AI

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Reading your prompt
Open core

The engine is open source. That's the difference.

Most AI analytics platforms are proprietary. Wren AI's context engine is public on GitHub: run it anywhere, inspect every query, and never depend on a vendor account.

Open-core architecturegithub.com/Canner/WrenAI
Wren AI platformCommercial · Teams & enterprise
GenBI Appsagentic modeGit Syncsecurity & governance
+ open core included
Everything below this line is public
Context engineOpen source · Individuals
MDLtext-to-SQLMCPCLI20+ connectors

Text-to-SQL, the MDL semantic model, and MCP all live in the open-source engine. The commercial layer adds apps and governance on top.

acme/contextgit sync
  • mdl/orders.yml
  • knowledge/metrics.md
  • skills/q3-margin.md

Your model & knowledge, in your git

Your data · queried in place
Case studies

In production where governance isn't optional

Manufacturing, banking, and healthcare teams run Wren AI on the systems they already own, with every answer auditable.

See all industries
In their words
“Data shifted from an "expert tool" to a "company-wide asset."”
ShastaCEO, Nextlink
Nextlink
“It delivers secure AI operations on our on-prem AI infrastructure, accelerating adoption with lower costs and faster deployment.”
WeiCTO, Phison
Phison
“It’s been a game-changer for making analytics more accessible and actionable without requiring technical expertise.”
AnnaCTO, Impactable
Impactable
For product & platform teams

Building analytics into your own product? Ship it white-label on the same context layer.

Embed governed GenBI through iframes, APIs, or MCP under your brand, priced by usage rather than seats.

Signed JWTsRow & column-level scopingFull audit logsPer-app tokens
Data connectors

Works where your data already lives.

  • Snowflake
    warehouse
  • BigQuery
    warehouse
  • Databricks
    lakehouse
  • Redshift
    warehouse
  • PostgreSQL
    database
  • SQL Server
    database
  • Oracle
    database
  • MySQL
    database
  • ClickHouse
    olap
  • Athena
    lake
  • Trino
    federation
  • Starburst
    query engine
20+ connectors · No ETL · No migration
Choose your path

Start with the deployment that fits.

Try Wren AI Cloud free, or talk to our team; we'll scope a guided pilot in our cloud, your VPC, or fully air-gapped on-prem. Open-source builders can start from the context engine on GitHub.

Wren AI