Manufacturing
Every team queries the system they own (MES, ERP, finance) in plain language: "OEE on Line 3 last week." Governed answers in seconds, no analyst tickets.
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Open-source agentic GenBIgithub.com/Canner/WrenAI
The agentic GenBI for humans and agents.
15,522#1 GenBI on GitHub
One context layer over your data. Plain-language questions in — governed SQL, charts, and decisions out. For your people, and for their agents.
Trusted by 15,000+ data experts and analytics teams worldwide.
Built for every team and leader
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.
✦ Agentic ModeEnterpriseHC
Expansion Capacity dashboard
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Reading your prompt
01Why Wren AI
Context is the foundation of intelligence
Context is constructed automatically and flows into every answer, so humans and agents never drift from the sources of truth.
Agentic Design01
Not just chat. Sandboxed, multi-step reasoning.
Tools and scripts run inside an isolated environment.
Agents query, chart, extract from PDFs, build dashboards, save skills.
Every step is traceable and replayable.
Skills & Memory
Reusable workflows. Context that compounds.
GenBI Apps
Vibe-coded dashboards in one prompt.
Agent-Friendly Architecture04
Git-native + file system. MDL the agents read and write directly.
Skills, Memory, Semantic Model, and Instructions are all files are versioned, branched, PR-reviewed, rolled back.
Open MDL means one definition lives in MDL; agents reason over it instead of hallucinating joins.
20+ data sources: BigQuery, PostgreSQL, MySQL, Snowflake, and dialect-agnostic.
Unified Data Policy05
Auditable by design; not as a workflow, but as infrastructure.
RLS and CLS enforced at query time, across every human or agent.
Role-based access with full activity logs. Provable who saw what, which query produced which number.
Multi-tenant cloud, private cloud, and air-gapped on-prem.
One policy applies whether the caller is the UI, the API, or an MCP client.
Every Agent, Every App
Agent-agnostic. Dialect-agnostic. Governed at execution.
Feedback Loop
Memory turns past interactions into institutional knowledge.
02Use Cases
One layer same trusted answer across company
Deliver an AI analytics strategy your executives will actually believe.
Ship "AI for analytics" without ripping out the warehouse or trusting a black box. Get a governed context layer, self-service in Slack and Teams, and a roadmap you can defend to the board.
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03Case studies
Use cases in production across industries
How companies across manufacturing, healthcare, finance, retail and media ship governed answers to humans and agents.
Banking & Finance
Credit queries the loan book, trading the OMS, compliance the monitoring system, all in plain language. Governed answers in seconds, every query auditable.
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Retail & E-commerce
One definition of "customer" across web, app, and store. Every campaign agent reasons over the same MDL with the same answer everywhere.
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Media & Entertainment
Editorial and ops query through Slack or in-product apps. No tickets, no dashboard-refresh waits. Every number provable.
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Healthcare
Clinical ops query the EMR, scheduling the rostering system, finance the revenue cycle. Governed answers in seconds, no analyst tickets.
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04Proof
Get insights faster with AI
Trusted by 50,000+ users worldwide. Public companies across the US, EU, Middle East, and Asia.
0x
Superhuman Speed
Agents query through a context layer that already knows your business. Time-to-answer in seconds.
0%
Less Waiting
Perform advanced analytics and statistical analysis on your datasets.
0+
Hours Saved per Month
Recurring reporting on autopilot — a five-person data team reclaims 100+ hours every month.
“Wren AI enables natural language data interaction across 10+ databases without ETL or migration. Integrated with Phison’s aiDAPTIV+ architecture, it delivers up to an 80% query hit rate and secure, on-prem AI operations—accelerating adoption with lower costs and faster deployment.”
Wei
CTO, Phison (A Public Company)
“We use Wren AI for our SaaS product, DemandSense, to give our clients the ability to interact with their data naturally - asking questions, generating insights, and creating ad-hoc charts and dashboards in real time. It’s been a game-changer for making analytics more accessible and actionable without requiring technical expertise.”
Anna
CTO, Impactable
“Wren AI has transformed our workflow enabling our teams to get instant insights through natural language, without complex reporting processes. Our decision speed improved by over 50%, and data shifted from an "expert tool" to a "company-wide asset." Wren AI is more than analytics. It’s revolutionized our data culture.”
Shasta
CEO, Nextlink (A Public Company)
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