Morph provides foundational infrastructure for AI coding agents, centered on its Fast Apply model: a small, purpose-trained model that merges AI-generated code edits into existing files at roughly 10,500 tokens per second with about 98% accuracy. By replacing slow full-file rewrites with a specialized merge model, Morph cuts token usage by 50-60% and latency by over 90%, making coding agents faster and cheaper. The platform also offers code-search embeddings and context management via API, SDK and MCP integration. Founded in 2025 by Tejas Bhakta and based in San Francisco, Morph went through Y Combinator and has raised seed-stage funding from investors including Transpose Platform Management and Y Combinator.
Morph
ActiveFast Apply infrastructure that merges AI code edits at 10,500 tokens/sec
Total raised
$500K
1 round
Stage
Seed
Jan 2025
Team
1-10
since 2025
Pricing
Freemium
free plan
Founded
2025
San Francisco, United States
Agent-ready
MCP · API
Score 90/100
Fast Apply code-merge model (~10,500 tok/s)
High-accuracy edit application
Code search embeddings
Context management
REST API
SDK
MCP integration
Token and latency reduction
90/100
Agent-ready
MCP server
Public API
Webhooks
OAuth 2.0
SDKs
Jan 2025 Seed $500K ● Y Combinator
Capital network
$500K raised ·2 backers·10 network links
- Backers2
- Shared portfoliocompanies these backers also fund
- Extended networkfunds that co-invest alongside them
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- What is Fast Apply?
- Fast Apply is Morph's specialized model that merges AI code edits into files at ~10,500 tokens/sec with high accuracy.
- How does Morph save costs?
- By replacing full-file rewrites with a merge model, Morph cuts token usage 50-60% and latency 90%+.
- Does Morph offer an API?
- Yes, Morph offers an API, SDK and MCP integration for coding agents.
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