DeepSource
DeepSource: Business Model Canvas
The nine-block Business Model Canvas, filled in only where a public source states it — empty blocks mean we haven't found a citable fact yet, not that the answer is zero.
Value Propositions
Combines hybrid static analysis and AI agents to deliver high-signal, low false-positive issues and structured feedback across security, quality, complexity, and coverage.
sourceAutomates code reviews so teams can ship to production faster with confidence.
sourceAutofix auto-generates patches for common issues found during review, reducing manual fix effort.
sourceClaims the highest F1 score (84.51%) on the OpenSSF CVE Benchmark.
sourceProvides an MCP Server integration so AI coding agents can consume structured review feedback directly.
sourceCustomer Segments
Targets engineering teams shipping code quickly, including teams increasingly using AI coding agents to generate code.
sourceServes large enterprises with a custom-priced Enterprise plan (self-hosted deployment, SSO, dedicated account manager).
sourceFree tier for public repositories; historically adopted by open-source projects including DGraph and Gauge (ThoughtWorks), and by open-source teams at Uber, Slack and NASA.
sourceCustomer Relationships
Open Source tier is free for public repos; Team tier is self-serve subscription with usage-based AI Review add-ons.
sourceEnterprise customers get priority support with an SLA and a dedicated account manager.
sourceEarly credibility built through organic adoption by open-source maintainers; Uber's Ludwig team wrote about DeepSource on the Uber Engineering blog.
sourceChannels
14-day free trial with no credit card required, plus a free Open Source tier for public repositories.
sourceDistributed via direct integration with GitHub, GitLab, Bitbucket and Azure DevOps.
sourceEnterprise plan is sold via a "Contact Sales" motion with custom pricing.
sourceOffers a GraphQL API, webhooks, and an MCP Server for programmatic/agent integration.
sourceKey Activities
Develops and maintains hybrid static analysis and AI-agent review engines across languages including Python, Go, Ruby on Rails and JavaScript.
sourceContinues to expand Autofix's automatic patch coverage (about 12% of flagged errors at the time of the 2020 seed round).
sourceBenchmarks and tunes vulnerability-detection models, citing the highest F1 score on the OpenSSF CVE Benchmark.
sourceBuilds and maintains integrations with GitHub, GitLab, Bitbucket and Azure DevOps.
sourceKey Resources
Core IP is the combined static analysis and AI-agent review engine underpinning the product.
sourceProprietary automated-fix technology launched February 2020.
sourceIndian subsidiary (Deepsource Private Limited) recorded 16 employees as of an April 2024 filing snapshot.
sourceKey Partnerships
Went through Y Combinator's Winter 2020 batch; backed by both Y Combinator and Y Combinator Continuity.
sourceIntegration partnerships with GitHub, GitLab, Bitbucket and Azure DevOps for distribution and workflow embedding.
sourceRevenue Streams
Per-seat SaaS subscription priced at $24 per user/month, billed yearly, covering unlimited repositories and pull request reviews.
sourceAI Review is metered on top of the Team plan at $8 per 10K processed LOC (Standard) or $15 per 10K processed LOC (Advanced).
source3 dependency-scanning targets included; additional targets billed at $8 per target/month.
sourceEnterprise plan (self-hosted, BYOK, SSO, dedicated support) is sold at custom pricing.
sourceCost Structure
FAQs on DeepSource
What is DeepSource's business model?
DeepSource's core value proposition centers on Automated, high-signal code review, Ship faster with confidence, Autofix automated remediation, Best-in-class vulnerability detection accuracy.
How does DeepSource make money?
DeepSource's cited revenue streams include Team plan subscription, Usage-based AI Review add-on, OSS dependency-scanning add-on, Enterprise custom contracts.