OCheckOps
Openlayer
Openlayer is an AI testing, monitoring and governance platform that runs tests before you ship, monitors live systems, enforces policy in real time and keeps audit-ready evidence.
- SaaS
- Free tier
- Paid
- LLM Eval
- LLM & agent evaluation
- AI-enabled testing
- LLM Observability
- Compliance
- Release & CI gates
- Production monitoring & observability
Latest public signals
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Introduction
Openlayer aims to put every AI system in a company in one place under control. It tests before you ship, monitors what is live and enforces policy in real time, with audit-ready evidence as standard, which makes it a fit for regulated enterprises.
Tests cover cost spikes, token spend, latency, PII and security, shown as pass/fail checks with severity. The free Basic plan includes up to five projects for one member, 20,000 monthly inferences, the core AI testing library, CI/CD integration, observability, alerting and API access.
Features
- Test library: Cost, latency, PII and security checks.
- CI/CD integration: Run tests before release.
- Monitoring: Alerts on live systems.
- Policy enforcement: Real-time guardrails.
- Audit evidence: Governance-ready reports.
Pros
- Free Basic plan: Useful limits for small teams.
Cons
- Enterprise for scale: Members and volume need Enterprise.
- Governance focus: More than a small team may need.
Usage and Links (Example)
- Create a free Basic workspace.
- Connect a project and select tests from the library.
- Add the CI integration and alerts.
Resources:
Pricing
Openlayer offers a free Basic plan (up to five projects, one member, 20,000 monthly inferences) and a custom-quoted Enterprise plan with unlimited members, projects and inferences.
Recommended for?
- Regulated companies that need AI testing plus governance evidence.
Conclusion
Openlayer combines AI testing and governance in a way few eval tools do.
Start on Basic and move to Enterprise for SSO and scale.
On CheckOps, Openlayer is filed under the Release & CI gates and Production monitoring & observability stages. Related tools listed here include Galileo, Arize Phoenix, Giskard, Deepchecks, Braintrust and Fiddler AI. Before standardising on one, compare recent maintenance activity, the pricing model as your usage grows, and the integrations you rely on today. Information on this page was verified against the official website, documentation and repository on 11 November 2026.
Alternatives
Other tools on CheckOps that cover similar ground. Open a page, or compare one with Openlayer side by side.
GGalileoGalileo is an AI observability and eval engineering platform that builds datasets, tunes evaluation metrics and turns offline evals into production guardrails for AI apps and agents.Compare with Openlayer
AArize PhoenixArize Phoenix is an open-source (Elastic License 2.0) AI observability and evaluation tool for tracing, evaluating and improving LLM apps and agents, with a hosted Arize AX tier.Compare with Openlayer
GGiskardGiskard offers an Apache-2.0 open-source library for evals, red teaming and test generation for AI agents, plus a commercial Hub for agent red-teaming, evaluation and guardrails.Compare with Openlayer
DDeepchecksDeepchecks is an open-source (AGPL-3.0) Python library for continuous validation of ML models and data, with test suites for data integrity, drift and model performance, plus a commercial LLM evaluation product.Compare with Openlayer
BBraintrustBraintrust is a hosted platform for AI evals and agent observability: trace production, turn patterns into evals, score releases, and query it from your IDE via MCP.Compare with Openlayer
FFiddler AIFiddler AI is a commercial AI observability and governance platform for agents, LLMs and ML models, with guardrails, evaluations and monitoring; CrowdStrike has announced it will acquire Fiddler.Compare with Openlayer