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

Agentic GenBI · Open context layer

Your data.
Your definitions.
Trusted answers.

Agentic GenBI on an open context layer you own. Governed answers for people, the same context for agents, on any source, in any deployment.

17,750#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

Proof

In production. In their words.

Data teams in finance, healthcare, and manufacturing across the US, EU, Middle East, and Asia.

“Data shifted from an "expert tool" to a "company-wide asset."”
Shasta
CEO, Nextlink
Nextlink
“It delivers secure AI operations on our on-prem AI infrastructure, accelerating adoption with lower costs and faster deployment.”
Wei
CTO, Phison
Phison
“It’s been a game-changer for making analytics more accessible and actionable without requiring technical expertise.”
Anna
CTO, Impactable
Impactable
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, approves and versions in git, so humans and agents never drift from the source of truth. 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.

Top customers this quarter?Wren AI reasoningUnderstand intentPlan trusted queryReturn answerRanked customers
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.

AppAPIMCPOne policyGoverned resultregionrevssn***Audit logallowedmaskedaudited
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.

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HC
Expansion Capacity dashboard
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Why Wren AI / Open core

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

Most AI analytics platforms are proprietary and keep your definitions in their account. Wren AI is open core: the context engine is public on GitHub, and your model and knowledge live in your own git.

Wren AI platformCommercial · Teams & enterprise
GenBI Appsagentic modeGit Syncsecurity & governance+ open core included
Context engineMDL · text-to-SQL · MCP · CLI · 20+ connectors
Open source · Individuals
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
For product & platform teams

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

Embed governed GenBI through iframe threads, APIs, or MCP under your brand, on your customers' data, priced by usage rather than by their seats. Your policies, live in days.

Governed by one context layerSigned 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