Durable AI Agent Orchestration Platform

A platform for running multi-step AI agent workflows with fault tolerance, retry logic, and observability. Target teams building production agentic systems. Solve cascading failures, memory issues, and visibility problems when agents fail mid-execution.

The 2024-2025 wave of teams moving LLM prototypes into production has exposed a brutal gap: most orchestration tooling (LangChain, CrewAI) was built for demos, not for systems that need to recover gracefully when an agent call fails at step seven of twelve. Temporal is the closest architectural analog for durable execution, but it's infrastructure-layer and not AI-agent-aware, leaving real workflow-level tooling largely unoccupied. The $5k–$30k/mo revenue band is plausible because the buyers are engineering teams at funded startups with real infrastructure budgets, not individual developers, so seat-based or usage-based pricing can get there without enormous customer counts. The biggest risk is that the major cloud providers — or Anthropic and OpenAI themselves — absorb this into their own managed agent runtimes before an indie player can establish switching costs.