Startup
Cleric
AI agent for production engineering
Cleric checks each change shipped to production and catches regressions that tests miss. It handles alerts, dismisses false positives and escalates with cause and evidence. For real issues it proposes a fix as a pull request and verifies the fix after deploy. It works in Slack or Microsoft Teams, with read-only access by default.
In research (1)
- Free to Look, Free to Reason: Simple LLM Harnesses Outdiagnose Hand-Crafted Root Cause Analysis AgentsVerdict: Important
Oct 26, 2026 · Commercial AI agent for production incident investigation, the task benchmarked here.
Neighbours in the directory
San Francisco, CA · Est. 2023
Conversational AI agents for customer experience.
Sierra, co-founded by Bret Taylor and Clay Bavor, builds production conversational agents that resolve real customer issues with guardrails, evaluation and human escalation — a template for deploying vertical agents at the enterprise edge.
~$10B valuation (Oct 2025)
New York, NY · Est. 2021
Serverless cloud built for AI and agentic compute.
Modal lets teams run inference, fine-tuning and arbitrary agent workloads as serverless Python without managing infrastructure — a common substrate for harness backends at scale.
Seattle, WA · Est. 2019
Durable execution for long-running agent workflows.
Temporal's durable execution engine is widely adopted to make agent pipelines reliable: state survives crashes, retries are automatic, and workflows run for minutes or months. A key piece of serious harness infrastructure.
$430M total · $300M Series D (Feb 2026) at $5B valuation
Connections
Relations from the Harness Hub knowledge graph, as charted in the State of Harness reports.
Similar entries · 2
- Resolve AIStartup
- TraversalStartup
Sources
Verified Oct 29, 2026