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LayerLens
Continuous Evaluation Infrastructure for AI
About LayerLens
LayerLens builds the continuous evaluation infrastructure for AI. AI systems change faster than they can be understood. LayerLens builds Stratix, the platform that keeps them accountable. From model selection to production monitoring, Stratix provides the benchmarks, evaluations, and observability that engineering and product teams need to ship AI with confidence. Stratix evaluates 210+ frontier AI models across 58 benchmarks and nearly 180,000 prompts. Teams use it to select the right model, validate agent behavior, detect drift, and prove compliance. The platform spans the full AI lifecycle: Select, Build, Observe, Evaluate, Improve, Trust, and Catalog. Four principles guide everything LayerLens builds: transparency builds trust, evaluation is verification, meaning over metrics, and proof that travels. The cost of not testing AI is real. Hallucinations reach customers. Model regressions go undetected. Teams fly blind on performance. Stratix makes all of that visible and fixable. The Stratix Python SDK is available on GitHub (120+ stars). Join the community on Discord at discord.gg/layerlens. Learn more at layerlens.ai
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