D
Decawork
Control your internal AI agents
SOC 2Backed by CombinatorCross-tool agent coverageShort-lived credentialsAgent audit trail
Opportunity score
72/100
Strong emerging problem with real security and compliance tailwinds, but broad cross-tool execution and enterprise sales risk make it difficult for a direct clone.
Founder verdict
MAYBE
Decawork is aiming at a real and fast-emerging problem, but the broad platform is hard to clone directly; the higher-probability opportunity is a focused compliance-first niche.
What is Decawork?
Decawork positions itself as a control plane for internal AI agents built in tools like ChatGPT, Claude Code, n8n, Microsoft Copilot, LangGraph, CrewAI and others. Instead of preventing teams from building agents, it gives IT one place to inventory agents, manage identity and access, approve actions, and audit everything. The website is early-stage and demo-led, with no public revenue, growth or pricing data. Its core bet is that AI agents inside companies are becoming inevitable and need enterprise-grade access and audit controls.
Get the full Decawork playbook
The complete reverse-engineering — what to copy, what to avoid, and exactly what to build instead.
- Full opportunity score across 8 dimensions
- The real problem & why customers pay
- Why it's winning — with evidence
- Complete business reverse-engineering
- Competitive advantages & moat analysis
- Weaknesses, risks & what to avoid
- Clone strategy — what to build instead
- Week-by-week MVP roadmap
- Recommended technical stack
- Founder verdict & highest-leverage move