Openlayer

Openlayer: LLM & ML Observability Platform

Openlayer is LLM and ML observability platform for testing, monitoring, and improving production AI models. Most ML teams ship models without rigorous pre-deployment testing and lose visibility once models hit production. Openlayer's pitch is the full observability stack: testing during development, monitoring in production, and drift-detection feeding back into evaluation — closing the loop between staging and prod that most ML platforms leave open.

Key Features

• LLM and ML observability platform for testing, monitoring, and improving production AI models
• Founded in 2021 by Gustavo Cid, Vikas Nair, and Rishab Ramanathan
• Y Combinator alum (S21); approximately $5M seed
• Pre-deployment testing for accuracy, fairness, robustness, and bias
• Production monitoring with drift detection and root-cause analysis
• Native integrations with major ML frameworks and LLM providers
• Used by ML platform teams at mid-market and enterprise companies

Ideal Use Case

ML platform teams that need a single observability layer covering both pre-deployment testing and production monitoring — particularly mid-market companies whose models go to production without rigorous evaluation harnesses.

Why Use Openlayer

Most ML teams ship models without rigorous pre-deployment testing and lose visibility once models hit production. Openlayer's pitch is the full observability stack: testing during development, monitoring in production, and drift-detection feeding back into evaluation — closing the loop between staging and prod that most ML platforms leave open.

FAQ

Q: Who founded Openlayer? A: Gustavo Cid, Vikas Nair, and Rishab Ramanathan co-founded Openlayer in 2021. The company graduated from Y Combinator's S21 batch.

Q: How much has Openlayer raised? A: Approximately $5M seed with participation from Y Combinator and other early-stage investors.

Q: What does Openlayer do? A: Openlayer is an LLM and ML observability platform combining pre-deployment testing (accuracy, fairness, robustness, bias) with production monitoring (drift detection, root-cause analysis).

Q: Openlayer vs Arize vs Fiddler? A: All three are AI observability platforms. Openlayer's differentiation is unified pre-deployment testing and production monitoring in one platform with a more developer-first interface than enterprise-focused Arize and Fiddler.

Q: Who uses Openlayer? A: ML platform teams at mid-market and enterprise companies looking for a single observability layer spanning staging and production.

tl;dr

Openlayer is the LLM and ML observability platform — pre-deployment testing plus production monitoring with drift detection. YC S21; ~$5M seed. Built for ML platform teams that need unified observability across staging and production.

Related

Looking for more options? Browse the Developer Tools directory or read our best AI coding tools listicle. Openlayer is also tracked on Crunchbase.