Wren AI
Wren AI is an agentic Generative BI platform operated by Canner, Inc. that converts natural language questions into governed SQL queries against 20+ live data warehouses for data leaders, operational users, C-suite executives, and agent developers across manufacturing, banking, healthcare, retail, media, automotive, and DTC verticals.
- Company typePrivate
- Founded-
- HeadquartersLewes, United States
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
What Wren AI does
Wren AI is an agentic Generative BI (GenBI) platform developed and operated by Canner, Inc., a privately held Delaware corporation incorporated in 2024 and headquartered at 16192 Coastal Highway, Lewes, Delaware. The company has 14 employees and operates the platform as both open-source software and a family of commercial cloud and self-hosted products. Its core technology converts natural language questions into governed SQL against live data warehouses, returning charted answers, interactive dashboards, and structured outputs, with row-level and column-level security enforced at query execution. The architecture centers on an MDL (Metric Definition Layer) semantic model — a Git-native context layer shared between humans and AI agents — supported by a sandboxed multi-step reasoning agent with reusable skills and persistent memory, and a native MCP (Model Context Protocol) server that lets external agents such as Claude and ChatGPT query governed data over OAuth without touching raw tables.
Wren AI serves data leaders, operational users, C-suite executives, data engineers, and agent developers across seven primary verticals — manufacturing, banking and finance, healthcare, retail and e-commerce, media and entertainment, automotive, and DTC brands — with named customers including Phison, Nextlink, and Impactable. The platform ships as open-source under github.com/Canner/WrenAI (ranked #1 GenBI on GitHub with 16,640+ stars and 50,000+ users worldwide), plus three commercial tiers: Essential Cloud (subscription with Standard Support), Enterprise Cloud (annual contract with Priority Support), and Self-Hosted Enterprise Plus (priced by concurrent sessions with unlimited users for on-premise and air-gapped deployments). Distribution combines product-led growth through the free open-source tier, self-serve cloud signup, enterprise sales with demo scheduling, an Elite Partner Program, and a 20% recurring affiliate channel. The company holds SOC 2 Type II certification, supports 20+ data warehouse connectors (Snowflake, BigQuery, Redshift, ClickHouse, PostgreSQL, and dialect-agnostic sources), and offers native integrations with dbt, Slack, Microsoft Teams, and MCP-compatible agents. No funding rounds, revenue figures, or management team details are disclosed in available source data.
Wren AI firmographics
Firmographics- Name
- Wren AI
- Legal name
- Canner, Inc.
- Website
- https://getwren.ai
- Company type
- Private
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Short description
- Wren AI is an agentic Generative BI platform operated by Canner, Inc. that converts natural language questions into governed SQL queries against 20+ live data warehouses for data leaders, operational users, C-suite executives, and agent developers across manufacturing, banking, healthcare, retail, media, automotive, and DTC verticals.
- Ownership category
- akta.pro rank
Wren AI industry classification
Industry- Product category
- Generative Business Intelligence (GenBI) Software
- NAICS
- Software Publishers (5132), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (5182)
- SIC
- Services-Prepackaged Software (7372), Services-Computer Programming, Data Processing, Etc. (7370)
- akta.pro primary industry
- AI Application Enablement Platforms (Copilot/Agent Frameworks, SDKs) (HDAEANAJ)
- akta.pro secondary industries
- Identity, Access & Secrets Management for AI Systems (IAM for agents/models) (HDAAAKAJ), Audit, Explainability & Accountability Tooling (traceability, reporting) (HDAAAKAL)
Keywords
Where Wren AI is headquartered
LocationHeadquarters
- HQ city
- Lewes
- HQ country
- United States
- HQ region
- North America
Offices1 record
Markets served
Wren AI business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Personnel, Infrastructure, Marketing or Sales, Operations
Revenue model
- Cloud Subscriptions: Wren AI Cloud Essential and Enterprise tiers offered as subscriptions with usage-based or tiered pricing. Cloud services provide managed infrastructure, support, and full product functionality.
- Self-Hosted Enterprise Plus: Commercial self-hosted software license for deployment in customer-controlled infrastructure. Priced by concurrent sessions with unlimited users, not per-seat.
- Affiliate Referrals: 20% recurring commission on Net Revenue from referred customers during first 12 months. Minimum payout $100, paid monthly.
- Open Source Free Tier: Open-source GenBI product offered free. Generates revenue through conversion to paid cloud/enterprise tiers.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Freemium | Others | Open Source - Free tier for self-hosting |
| Subscription | Monthly | Essential Cloud - Entry-level cloud subscription |
| Subscription | Annual | Enterprise Cloud - Premium cloud subscription |
| Usage-based | Annual | Enterprise Plus Self-Hosted - Concurrent session pricing |
Go-to-market motion2 records
Distribution channels5 records
Marketing channels10 records
Wren AI product offering
Product offeringCore offering
Wren AI builds an agentic Generative Business Intelligence (GenBI) platform that lets humans and AI agents query governed data warehouses in plain English. Its MDL (Metric Definition Layer) semantic model, text-to-SQL engine, and sandboxed agentic reasoning convert natural language into traceable, security-governed SQL and charted answers against 20+ data sources. The platform is sold as an open-source edition, cloud subscriptions (Essential and Enterprise tiers), and a self-hosted Enterprise Plus deployment priced by concurrent sessions.
Product overview
Wren AI is an agentic Generative BI (GenBI) platform offered as both open-source software and a family of commercial cloud and self-hosted products. The core platform enables natural language queries against live data warehouses, producing traceable SQL and charted answers governed by an MDL (Metric Definition Layer) semantic model. The commercial portfolio spans three tiers: Wren AI Essential Cloud (entry-level, Standard Support), Wren AI Enterprise Cloud (full-featured, Priority Support), and Wren AI Self-Hosted Enterprise Plus (customer-deployed, priced by concurrent sessions with unlimited users). All tiers share the same core agentic engine with skills, memory, GenBI Apps, embedded API, and MCP connectivity. The open-source edition provides the core platform at no cost for self-hosting, with governance, embedded API, and enterprise support available exclusively in the commercial tiers.
Differentiator
Problem solved
Functional benefit
Quantifiable outcome
- 80% query hit rate with Phison's aiDAPTIV+ architecture
- +2 more outcomes
Companies that use Wren AI
Customer profileNamed customers3 records
Segments12 records
Ideal customer profiles3 records
Wren AI technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration10 records
AI capability10 records
Feature11 records
Wren AI partnerships and signals
Strategic signalPartnerships
Ten partnerships are on record, tiered core.
- dbtcoredbt integration allowing Wren AI to query dbt models in natural language. Point Wren AI at dbt project and ask questions against transformed, governed models.
- Microsoft TeamscoreNative integration for querying governed data directly inside Microsoft Teams with same security and audit controls as everywhere else.
- SlackcoreBring governed, conversational analytics into Slack channels. Ask questions in a channel and get answers inline with governance.
- Anthropic ClaudecoreWren AI MCP server connects to Claude via OAuth. Agents query governed warehouse in natural language from inside Claude with semantic definitions.
- OpenAI ChatGPTcoreMCP integration allowing ChatGPT to connect to Wren AI MCP server and query governed data with proper access controls.
- Google Cloud (BigQuery)coreBigQuery connector as part of 20+ data sources Wren AI connects to. Queries live data in place without ETL or migration.
- SnowflakecoreSnowflake connector as part of 20+ data sources. Queries live Snowflake data with governed MDL semantics.
- Amazon RedshiftcoreAmazon Redshift connector as part of 20+ data sources. Dialect-agnostic text-to-SQL across Redshift and other warehouses.
- ClickHousecoreClickHouse connector as part of 20+ data sources enabling real-time analytics with governed context layer.
- PostgreSQLcorePostgreSQL connector as part of 20+ data sources. Queries application databases, SaaS tools, and operational systems in natural language.
Scale indicators5 records
Recent moves6 records
Expansion highlights6 records
Wren AI competitors and assessment
Company assessmentDirect peers
- Databricks Genie: Databricks Genie is a natural-language interface that lets business users query data in the Databricks lakehouse using governed Unity Catalog assets. It directly competes with Wren AI's text-to-SQL + semantic-layer approach for enterprises standardizing on Databricks.
- Hex: Hex is a collaborative AI-native data workspace combining notebooks, data apps, and natural-language querying. It is comparable to Wren AI as a next-generation analytics product targeting both technical and non-technical users with AI-assisted workflows.
- Mode Analytics: Mode is a modern BI platform combining SQL notebooks, dashboards, and now AI-assisted analysis for both analysts and business users. It is comparable to Wren AI as a next-generation analytics tool aimed at data teams and their stakeholders.
- ThoughtSpot: ThoughtSpot is an AI-powered analytics platform built around natural-language search and a semantic layer (SpotIQ / Sage). It is the closest direct competitor to Wren AI in agentic GenBI for business users, with comparable natural-language querying and embedded analytics.
- Sigma Computing: Sigma Computing is a cloud-native BI platform with a spreadsheet-style interface designed for non-technical business users. It overlaps with Wren AI's mission of making governed data accessible to operational and executive personas without writing SQL.
- Metabase: Metabase is a popular open-source BI and analytics tool widely adopted by SMBs and operational teams. It is comparable to Wren AI as an open-source-first BI alternative, though it lacks Wren's agentic/LLM-driven text-to-SQL focus.
- Snowflake Cortex Analyst: Snowflake Cortex Analyst is Snowflake's first-party natural-language-to-SQL service that uses a semantic model (Cortex Analyst) on top of Snowflake data. It is a direct competitor to Wren AI in governed GenBI on Snowflake warehouses.
Broad incumbents
- Tableau (Salesforce): Tableau is an entrenched BI incumbent with Tableau GPT / Einstein-powered natural-language analytics and a large enterprise install base. It competes broadly with Wren AI for governed self-service analytics budgets at large enterprises.
- Looker (Google Cloud): Looker is Google Cloud's governed BI platform built on a semantic modeling layer (LookML). It is directly comparable to Wren AI on the semantic-layer architecture and competes for the same enterprise data-leader buyers prioritizing governance.
- Microsoft Power BI: Power BI is a broad incumbent BI platform with deep Microsoft enterprise distribution and Copilot-powered natural-language Q&A. It competes with Wren AI broadly across the same data-leader and operational-user personas, especially in Microsoft-centric organizations.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key risks6 records
Key highlights7 records
Customer concentration
Wren AI social profiles
Digital presenceWren AI compliance and trust
Trust signalCompliance2 records
Wren AI financial estimates
Financial estimateRevenue estimate
Valuation estimate
Wren AI leadership team
Management profileNumber of profiles
Wren AI funding detail
Funding detailFunding overview
Funding rounds
Investors
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Wren AI M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Wren AI
What does Wren AI do?
Wren AI builds an agentic Generative Business Intelligence (GenBI) platform that lets humans and AI agents query governed data warehouses in plain English. Its MDL (Metric Definition Layer) semantic model, text-to-SQL engine, and sandboxed agentic reasoning convert natural language into traceable, security-governed SQL and charted answers against 20+ data sources. The platform is sold as an open-source edition, cloud subscriptions (Essential and Enterprise tiers), and a self-hosted Enterprise Plus deployment priced by concurrent sessions.
Is Wren AI a public or private company?
Wren AI is a private company. It is classified as founder individual operated bootstrapped and is currently operating.
When was Wren AI founded?
Wren AI was founded in -1. It employs 11 to 50 people.
Where is Wren AI based?
Wren AI is headquartered in Lewes, United States, in the North America region.
How does Wren AI make money?
Four revenue lines are on record. Cloud Subscriptions are the primary driver. The others are self-Hosted Enterprise Plus, affiliate Referrals and open Source Free Tier.
Who are Wren AI's main competitors?
Direct peers on record are Databricks Genie, Hex, Mode Analytics, ThoughtSpot, Sigma Computing, Metabase and Snowflake Cortex Analyst. Broad incumbents are Tableau (Salesforce), Looker (Google Cloud) and Microsoft Power BI.
Does Wren AI have an API?
Yes. Wren AI provides a REST API that enables developers to build custom conversational analytics experiences. The API includes endpoints for natural language to governed SQL generation (POST /api/v1/generate_sql) that returns SQL statements and thread identifiers. Additionally, Wren AI offers an MCP (Model Context Protocol) server that enables AI assistants like Claude and ChatGPT to connect over OAuth and query governed data through the semantic model, with row and column-level scoping, full audit logs, and per-app tokens. Developer documentation is at docs.getwren.ai/cp/overview.
What industry is Wren AI in?
Wren AI's product category is Generative Business Intelligence (GenBI) Software. Its primary akta.pro industry code is HDAEANAJ, AI Application Enablement Platforms (Copilot/Agent Frameworks, SDKs), with a secondary code of HDAAAKAJ, Identity, Access & Secrets Management for AI Systems (IAM for agents/models). Its NAICS code is 5132 and its SIC code is 7372.