Dedalus Labs Analysis: $27M Raised
What is Dedalus Labs?
Dedalus Labs provides persistent Linux machines that start in under 250 milliseconds for agent workloads. The company says users pay only for active compute, and it supports SSH access, an API, and a CLI. Its site positions the product for agents running untrusted code, ML training, web scraping, CI pipelines, and code generation.
Location
9 Bernice St, San Francisco, California 94103, US
Employees
11-50
Founded
2025
Industry
B2B
AI Category
AI-native
YC Batch
S25
YC Partner
Jared Friedman
How much Dedalus Labs raised
Funding - $26.9M
Who are the founders of Dedalus Labs
CD
Catherine di
CEO and Co-Founder
WN
Windsor Nguyễn
Co-Founder and CTO
Product Description
Dedalus Labs primarily offers the MCP (Managed Cloud Platform) gateway, which connects any large language model (LLM) to managed cloud servers. This product simplifies the deployment process for developers, allowing them to focus on building AI agents without the complexities of configuration.
Key features of the MCP gateway include:
- Rapid Deployment: Users can deploy AI agents in minutes as the platform manages configurations, hosting, and scaling.
- Cloud-Hosted MCP Servers: Users can quickly set up a privately-hosted MCP server from their GitHub repository with just a few clicks.
- Universal Model Access: The gateway allows users to switch between various models, such as GPT-5 and Claude Opus 4.1, with a single line of code.
- Marketplace for Tools: It provides access to a hosted MCP marketplace for production-ready tools, facilitating easy integration without configuration concerns.
The benefits of using the MCP gateway include reduced development time, ease of use for developers, and the ability to scale AI solutions efficiently.
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