Startup profile · funding coverage
Sourcegraph funding, valuation and investors
Code search and AI coding assistant (Cody) for enterprise codebases.
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Funding, valuation & investors
Answer-first snapshotLatest funding
Series D
$125M · July 2021
Latest known valuation
$2.625B
Series D · July 2021
Total disclosed equity funding
$175M
Excludes debt, grants, acquisitions, secondaries, and IPO proceeds.
Current status
private
growth · San Francisco, California
Overview
Sourcegraph provides universal code search, intelligence, and Cody AI coding assistant for enterprises with large, multi-repo codebases. Founded in 2013, the company indexes code across GitHub, GitLab, and internal repos for search and AI context. Sourcegraph raised $125M Series D in July 2021 at $2.625B led by a16z; $50M Series C in 2020 led by Sequoia. Insight Partners and Redpoint Ventures participated.
Why Sourcegraph is interesting
Sourcegraph owns enterprise code intelligence — the context layer AI coding tools need inside large orgs; complementary and competitive with Cursor.
Product & use cases
Sourcegraph indexes code across an organization for regex and semantic search; Cody AI assistant uses that context for chat, autocomplete, and code generation inside enterprise repos.
- Cross-repo code search at scale
- AI coding assistant with full codebase context
- Developer onboarding and code navigation
- Security and compliance code audits
Key facts
- Series D (Jul 2021): $125M at $2.625B led by a16z
- Series C (Dec 2020): $50M led by Sequoia
- Cody AI coding assistant for enterprise
- Universal code search across multi-repo orgs
Funding history (newest first)
Series D
2021-07 $125M Valuation: $2.625BSource: https://sourcegraph.com/blog/announcing-sourcegraphs-series-d-round
Series C
2020-12 $50MSource: https://sourcegraph.com/blog/announcing-sourcegraphs-series-c-round
Investors in our directory
Funds linked from Sourcegraph's profile — open a fund page for stage focus and related deal articles.
Competitive landscape
Edge: Deep enterprise code graph indexing — Cody's context advantage over generic copilots without org-wide index.
Enterprise AI coding requires codebase context Sourcegraph spent a decade building. Competes with GitHub Copilot Enterprise and Cursor for AI assistant budget; search moat is differentiated.
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Cursor direct
AI-native IDE; overlaps on coding assistant but less enterprise search heritage.
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GitHub Copilot Enterprise direct
Microsoft's enterprise AI coding with GitHub index.
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Tabnine adjacent
Enterprise AI code completion.
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OpenGrok / livegrep alternative
Open-source code search; less AI layer.
Notable stories
- Sourcegraph started as code search before AI — Cody launched on top of a decade of indexing infrastructure incumbents couldn't replicate quickly.
- a16z led Series D as enterprise AI coding became strategic battleground vs GitHub/Microsoft.
Industries
FAQs about Sourcegraph
Practical answers founders, operators, and investors typically search for.
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