Evidence
Evidence is an open-source, code-based alternative to traditional BI tools, enabling teams to build polished data products using SQL and Markdown.
At a Glance
- Technical Data Teams
- Product Teams
- Data Analysts
- Developers
AI Tools by Evidence
(1)Evidence
Code to Dashboard Analytics Platform
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Products & Services
Core open-source framework for building BI reports using SQL and Markdown. Treat BI as code with version control and CI/CD.
Hosted SaaS platform for deploying and managing Evidence apps with built-in security and scaling.
AI-powered Web IDE that enables users to build, iterate, and share data products using an interactive, browser-based environment.
Market Position
Positioned as 'BI-as-Code', competing with traditional BI (Tableau, Looker) and notebook-based tools (Streamlit, Observable) by focusing on standard software workflows and high-performance SQL.
Leadership
Founders
Adam Glynn-Finnegan
Co-founder. Previously Staff Product Designer at Netflix and Product Designer at Intercom. Expertise in design and product development.
Sean Hughes
Co-founder & COO. Previously Director of Data Science at Birch Hill Equity Partners. Experienced in private equity and data analytics.
Archibald Wood
Co-founder. Technical lead and developer. Focuses on building developer tools and the core Evidence platform.
Executive Team
Adam Glynn-Finnegan
Co-founder
Design and Product leader, formerly at Netflix.
Sean Hughes
Co-founder & COO
Data Science leader, formerly at Birch Hill Equity Partners.
Board of Directors
Founding Story
Evidence was started to apply software engineering principles (code, version control, automation) to business intelligence, addressing the scalability and maintainability limitations of traditional drag-and-drop BI tools.
Business Model
Revenue Model
Open core model. Monetizes through SaaS hosting (Evidence Cloud) and enterprise-grade features (Pro and Enterprise tiers).
Pricing Tiers
Up to 5 public projects, VS Code Extension, core open-source features.
Unlimited projects, Private projects, Email/Password Auth, Commercial support options.
SSO, Role-based access, Managed deployment, dedicated support.
Target Markets
- Technical Data Teams
- Product Teams
- Data Analysts
- Developers
- Embedded analytics in customer-facing applications
- Automated internal business reviews
- Narrative-driven data reports
- Collaborative data product development
- High-performance dashboards for large datasets
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