Hatchet is a cloud‑native orchestration platform that separates a managed control plane from execution workers, which run on any container platform and auto‑scale with demand. It provides exactly‑once task execution with automatic retries, intelligent rate limiting, and checkpoint recovery, plus a web UI for monitoring, debugging, and replaying pipelines. The service is aimed at AI teams building RAG, document processing, and indexing workflows, offering multi‑tenant, compliance‑ready options via SDKs and APIs.
Funding
$500K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Building and maintaining reliable, scalable orchestration for AI agents, data ingestion, and indexing pipelines requires custom infrastructure, handling retries, rate limiting, and state management, which many teams implement as fragile in‑process solutions.
Solution
Hatchet offers a cloud‑native orchestration platform that separates the control plane from execution workers. The managed Hatchet engine coordinates tasks while workers run on any container platform (Kubernetes, ECS, Render, etc.), automatically scaling based on workload. The system provides exactly‑once semantics, automatic retries, intelligent rate limiting, and checkpoint recovery to keep data pipelines fresh and resilient. Users interact with a web UI to monitor runs, replay failed jobs, and view real‑time metrics. Integration is achieved via SDKs and APIs, allowing teams to replace ad‑hoc orchestration code with a unified, secure service that supports multi‑tenant workloads and compliance requirements.
Target Audience
Primary customers are AI‑focused development teams and enterprises building RAG, document processing, and indexing pipelines, as well as product teams that need reliable orchestration for AI agents and tool‑calling workflows.
Features
- Managed orchestration engine with a self‑hosted option for full control
- Worker agents that run on any container platform and auto‑scale with demand
- Exactly‑once task execution with automatic retries and checkpoint recovery
- Intelligent rate limiting and built‑in back‑pressure handling
- Web UI for monitoring, debugging, and replaying failed pipelines
- Multi‑tenant support, SSO/SAML, audit logging, and HIPAA‑ready compliance options
- SDKs and APIs for easy integration with AI agents, RAG, and vector database workflows