Astroturfed

Enterprise AI agents deserve the same rigor as the systems they operate within.

Astroturfed was founded on a clear observation: leading go-to-market, support, and operations organizations invest heavily in training, rehearsal, and quality assurance — yet AI agents are routinely deployed directly to production without equivalent preparation. We built the synthetic environment and governance layer that lets engineering teams develop, measure, and validate agent behavior before a single customer record is at risk.

Mission

Make enterprise AI agents safe to iterate on and predictable to operate: governed by policy, observable to stakeholders, and continuously validated against the real-world complexity of modern enterprise software.

Principles

  • Synthetic first. Validate on generated environments that mirror production semantics without replicating sensitive data.
  • Brokered access. Agents never hold direct vendor credentials. Astroturfed negotiates scope and documents intent on every request.
  • Evidence over assertions. Every safety claim is backed by complete traces, diffs, and versioned policies — not marketing language.

Team and hiring

We are a distributed team across platform engineering, applied security, and go-to-market systems. If you take developer experience and uncompromising safety seriously, we would like to speak with you.