Openlayer

What it does

Openlayer is a powerful testing and observability platform for ML. It lets you collaborate with others on finding issues in models and data, debugging them, and committing new versions.

Openlayer is the AI governance and observability platform for regulated enterprises: one place to test, monitor, and govern every model, agent, and AI system your company runs.

The AI governance platform that tests before you ship, monitors what's live, and enforces policy in real time. Audit-ready evidence comes standard. Your controls are not keeping up. Your controls are not keeping up. Copilots, agents, and models are going to production across every business unit. Most companies can't list them, few can test them, and almost none can prove to a regulator what any of them did last Tuesday. Each layer delivers value on its own. Together, they turn scattered AI into systems you can govern, observe, and prove are under control. Know every AI system running, org-wide inventory and automatic shadow-AI detection. You can’t govern what you can’t see, so this is where…from openlayer.com

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  Openlayer – Test, fix, and improve your ML models2023 · openlayer.com · ▲53

  Hey HN, my name is Vikas, and my cofounders Rish, Gabe and I are building Openlayer: http://openlayer.com/ Openlayer is an ML testing, evaluation, and observability platform designed to help teams pinpoint and resolve issues in their models. We were ML engineers experiencing the struggle that goes into properly evaluating models, making them robust to the myriad of unexpected edge cases they encounter in production, and understanding the reasons behind their mistakes. It was like playing an endless game of whack-a-mole with Jupyter notebooks and CSV files — fix one issue and…

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  Openlayer2023 · openlayer.com · ▲197

  Slack or email alerts for when your AI fails

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  Deepchecks Testing Package2022 · github.com · ▲186

  Open source tool for testing & validating your model & data

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  AI Observability by OpenObserveAug 2026 · openobserve.ai · ▲317

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  TensorZero2025 · github.com · ▲307

  Hi HN! We're Gabriel & Viraj, and we're excited to open source TensorZero. To be a little cheeky, TensorZero is an open-source platform that helps LLM applications graduate from API wrappers into defensible AI products. 1. Integrate our model gateway 2. Send metrics or feedback 3. Unlock compounding improvements in quality, cost, and latency It enables a data & learning flywheel for LLMs by unifying: • Inference: one API for all LLMs, with <1ms P99 overhead • Observability: inference & feedback → your database • Optimization: better prompts, models, inference strategies • Experimentation:…

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  We built open OpenRouter that turns usage into a better modelAug 2026 · github.com · ▲222

  Hi HN, we built an open source model gateway. It's a single place to manage our own self hosted, frontier, and open source models in one place. It’s is rust native, built for concurrency, and implements all the config quirks across models and providers (streaming formats, tool calls, model parameters, rate limits, and different error behavior). The gateway adds under 1 ms for BYOK requests and under 2 ms when Experiential supplies the provider key. It has every major inference provider, and 1000+ models refreshed daily via a codex agent that opens a PR. Compared to other similar projects…

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