Terminal Use
Vercel for background agents
Winter 2026ActiveB2BInfrastructureAIOpsDeveloper ToolsWorkflow AutomationInfrastructureAISan Francisco, CA, USA
Company
https://www.terminaluse.comTerminal Use is an orchestration platform for background agents. Purpose-built for agents that use filesystems. Our platform is CLI-first, making it easy for your coding agents to experiment and continuously improve your deployed agents.
Verdict
High Signal
Market Opportunity
AI agent infrastructure is a rapidly expanding B2B market — the 'Vercel for agents' positioning targets developers deploying LLM-based agents at scale, a TAM that will likely exceed $5B+ as agentic workloads proliferate. ICP is clear: engineering teams building with Claude Agent SDK and Codex who need managed infra. Usage-based infra pricing (like Vercel/Railway) is a proven monetization model.
Medium Signal
Founder Signal
All three founders did 2+ years at Palantir as software engineers (Sep 2023–Dec 2025), which is highly relevant — Palantir is a serious engineering org and Vivek Raja explicitly led 'one of the largest agents use cases at Palantir' as Technical Lead. Filip graduated Edinburgh (AI/CS, First Class Honours, 2023) and Stavros from Aristotle University (MEng ECE). No prior exits, but Vivek also worked at a YC W22 company (Invert). Solid execution credibility, though young team with 2-3 years post-grad experience each.
Low Signal
Competition
The agent orchestration infra space is crowded and accelerating fast: Modal, Fly.io, and Railway can handle containerized background workloads already. E2B, Daytona, and Morph offer sandboxed coding environments for agents. Anthropic and OpenAI could embed deployment infra directly into their SDKs. The filesystem-agent specialization and git-native branching is a differentiator but not a hard moat — this is fundamentally a DevOps/infra product in a space where big players have strong distribution advantages.
Medium Signal
Product
Has docs, sign-up, CLI tooling, Python/TypeScript SDKs, and a working demo showing agent deployment. Feature set is substantial (git-native versioning, rollback, multi-env, RBAC, Vercel AI SDK integration). However, no named customers, no revenue metrics, no testimonials — appears to be early beta stage with real product but unproven commercial traction.
OverallB Tier
Three ex-Palantir engineers with direct hands-on experience building agent infrastructure — this is the right team for the problem. The product is real, technically credible, and well-scoped. The core risk is competition: Modal, E2B, Railway, and potentially Anthropic/OpenAI themselves are all plausible substitutes or future competitors, and the 'Vercel for agents' framing invites the obvious question of why Vercel itself won't do this. No customer traction visible yet and no press — still early. If they can land 10-20 paying dev teams before the space gets crowded, this has a real path; if not, they'll get squeezed.
Active Founders
