runany.dev · Jul 2026
Independent coverage described Dedalus as providing persistent Linux VMs for AI agents with sub-250ms boot times and MCP-native tooling.
Connect any LLM to any MCP tools and create complex agents in minutes.
Company research
Public company, workplace, funding, and market signals
Overview
Dedalus Labs is a San Francisco-based AI infrastructure company building developer tools for agentic AI, centered on the Dedalus SDK and Dedalus Machines for running long-lived, stateful agents on persistent Linux VMs with fast boot, zero idle compute cost, and MCP-native workflows.
Primary product
Dedalus Machines / Dedalus SDK for AI agents
Founded
2025
Headquarters
San Francisco, California, United States
Team size
10-20
Industry
Software Development
Sub-industry
AI infrastructure / agentic AI developer platform
Offices
San Francisco, California, United States
Business model
usage-based compute billing
self-serve SaaS plans
enterprise contracts
Funding
Stage
Seed
Total raised
$11.6M
Latest round
Seed · Oct 2025
Latest amount
$11M
People & investors
Leadership
Co-Founder & CEO
Co-Founder & CTO
David Li
Merchandise Director
Aaron S. Bisla
Head of Media
Work & culture
Lean, craft-oriented, developer-first, shipping-fast culture with a strong emphasis on technical quality, high agency, and collaborative builders.
Compensation
Public signals indicate competitive/top-of-market cash compensation plus meaningful equity; open roles include San Francisco-based internships with disclosed salary ranges around $150K-$250K on YC, but no comprehensive company-wide comp bands were found.
Benefits
top-of-market cash compensation
meaningful equity
full health/dental/vision coverage
401(k) with employer matching
latest hardware (MacBook Pro, 4K displays)
learning budget
team offsites
team dinners
hackathons
on-site fitness center
Product & market
Pricing
Per-second usage-based billing for active compute with idle time free; Hobby, Pro, and Enterprise plans.
Differentiators
- —Persistent Linux VMs for agents with sub-250ms boot
- —zero idle compute charges / scale-to-zero pricing
- —MCP-native infrastructure and managed MCP server deployment
- —vendor-agnostic model handoffs and tool chaining
- —full Linux environments with root access and nested virtualization
- —open-source SDKs in Python, TypeScript, and Go
Technology
Model Context Protocol (MCP)
Linux VMs
Cloud Hypervisor
custom VMM
ext4
Python SDK
TypeScript SDK
Go SDK
API keys
CLI
Customers
YC companies
developers building agentic AI applications
founders and engineering teams building production AI agents
teams using MCP servers and agent infrastructure
Competitors
LangGraph
OpenRouter
n8n
CrewAI
LangChain
E2B
Fly.io
Render
Vercel
Scale & contact
Estimated revenue
$454K-$4.9M
Estimated monthly visits
19K
Traffic estimate as of Jul 2026
Latest news
LinkedIn · Jun 2026
The company highlighted its mission and discussed an A2A economy event featuring speakers from OpenAI, Google, Stripe, and others.
LinkedIn · Feb 2026
Dedalus announced support for Claude Opus 4.6 in its API, positioning it for long-horizon task workflows.
Dedalus Labs · Jan 2026
Dedalus launched Dedalus Auth (DAuth), an authentication layer for securing MCP servers and marketplaces and protecting user credentials.
Hacker News
Launch thread introducing Dedalus Labs as a cloud platform for developers to build agentic AI applications.
Jobs and careers at Dedalus Labs
0 jobs at Dedalus Labs
No open positions
Check back later for new openings