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Accelerate development by simulating production conditions with real…
Speedscale helps engineers validate their code with real, sanitized traffic. We simulate realistic production conditions in Kubernetes so you no longer need to manually script or use large and complex environments. Catch performance defects before they reach production and reduce weeks-long test cycles down to a few days.
Speedscale validates AI-generated code against real production traffic to catch regressions before merge, using observability data, deterministic replay, and AI-assisted debugging. It focuses on validating AI changes in Kubernetes and CI pipelines by replaying live production context.
Capture full production traffic, move it across environments and CI pipelines, and replay exact payloads in deterministic sandboxes. Expose traffic context to AI agents (Claude Code, Cursor, Codex) so they debug with real data. Compare before/after behavior on replayed traffic to prove fixes before merge. Record once (from Kubernetes, ECS, desktop, or agent surfaces) and replay automatically against every branch/change, providing behavioral diffs and evidence for PRs.
Who it’s for: AI/ML-enabled software development teams evaluating AI-generated code, platform engineering groups, and QA teams requiring production-accurate validation of changes before merge.
Customers: FLYR, Sephora, IHG
marketing highlighting 30-day free trial, references to customers and AI-focused validation, and product announcements; active emphasis on AI integration and observability features
Much of Ken’s career has been focused on helping companies develop and manage complex web applications. He previously ran North America teams for New Relic and CA/Broadcom. Previous startups included Pentaho (acquired by Hitachi), ITKO (acquired by CA/Broadcom) and ILC (acquired by General Dynamics). His first foray into programming started with a brand new language called Java at Georgia Tech and has grown into a lifetime interest.

Scalable validation infrastructure for AI agents

Data-centric infrastructure to accelerate the development of AI