Openlayer

Last updated: 2026-08-12

Founded in 2021, Openlayer is an AI governance and observability platform that runs 175+ built-in evaluation tests for hallucinations, bias, and toxicity before deployment. It adds real-time guardrails against prompt injection and PII leakage, plus compliance mapping to the EU AI Act, ISO 42001, and NIST AI RMF.

About Openlayer

Openlayer is an AI governance and observability platform built by Openlayer Inc, a San Francisco startup founded in 2021 by Vikas Nair, Gabriel Bayomi Tinoco Kalejaiye, and Rishab Ramanathan. It gives engineering, risk, and compliance teams one place to test AI systems before release, watch them in production, and prove to auditors that oversight actually happened, a problem underscored by S&P Global's 2026 finding that 88% of AI agents built inside companies never reach production. Before an AI system ships, the platform screens it against a built-in library covering hallucination, bias, toxicity, and adversarial-robustness checks, scored with an LLM-as-a-judge approach Openlayer reports correlates with human raters 81.3% of the time. In production, it watches LLM calls, retrieval pipelines, and agent runs end to end, with dedicated support for tracing the Anthropic Claude Agent SDK, and steps in live to stop an injected prompt or a PII leak from ever reaching a user. A separate layer keeps every monitored system mapped to the regulatory standards enterprises are held to, turning what used to be manual audit prep into a standing, always-current record. Openlayer is built for AI and ML platform engineers shipping agents to production, MLOps and LLMOps teams who need CI/CD-gated regression tests, and Chief Risk Officers or AI governance leads who have to prove oversight to regulators. It is used across regulated sectors including financial services, insurance, healthcare, and telecom; customers named on Openlayer's site include eBay, Comcast LIFT Labs, Sun Life, DIRECTV, and Telefonica, which announced a 2026 partnership to resell the platform across Europe and Latin America. The Basic tier costs nothing and stays free indefinitely, covering a handful of projects and a working monthly inference allowance with a shorter data-retention window than the paid plan; official SDKs are available across the major languages engineering teams already use, alongside a CLI, REST API, and Git-based workflow. The Enterprise tier is custom-priced and adds unlimited members and projects, on-premise or VPC deployment, single sign-on, and a stronger uptime SLA; Openlayer does not publish an Enterprise rate card, so budget planning requires a sales conversation. Analyst attention has followed: Openlayer holds a place among Gartner's tracked vendors for AI evaluation and observability heading into 2026, and investors have backed that with $19.4M in total funding, including a $14.5M Series A led by Y Combinator, Quiet Capital, and Race Capital. On the trust side, the company has completed a SOC 2 Type II audit, with Vanta and Insight Partners as auditors, and lists GDPR and HIPAA on its trust center, alongside air-gapped deployment for customers who cannot use shared infrastructure.

Pricing

Basic: free, 1 member, 5 projects, 20 tests/project, 20,000 inferences/month, 3-month data retention, community support. Enterprise: custom pricing, unlimited members/projects/pipelines/tests, on-premise or VPC deployment, SAML SSO, 99.99% uptime SLA, white-glove onboarding.

Key Features

• 175+ prebuilt evaluation tests: The test library screens for hallucinations, bias, toxicity, and adversarial robustness before an AI system ships, plus custom metrics pushed via CLI.
• Real-time guardrails: Runtime guardrails block prompt injection and PII leakage before a response leaves the API boundary, enforcing policy in production without a separate manual review step.
• Full-lifecycle observability: Traces LLM calls, retrieval pipelines, and multi-step agent runs in production, including first-party tracing for the Anthropic Claude Agent SDK covering tool calls, MCP tools, and subagents.
• Automated compliance mapping: Maps monitored AI systems against the EU AI Act, ISO/IEC 42001, and NIST AI RMF automatically, generating audit-ready evidence instead of manual documentation.
• CI/CD-gated testing: Runs evaluation suites inside existing CI/CD pipelines via SDK, CLI, or Git workflow so a regression in an AI system blocks a merge the same way a failing unit test would.
• Multi-language SDK and MCP server: Ships official SDKs for Python, TypeScript, Go, Ruby, and Java plus an Openlayer MCP server that exposes evaluation and monitoring data directly to LLM agents.

Pros

• Named a Representative Vendor in the 2026 Gartner Market Guide for AI Evaluation and Observability Platforms, an analyst-level validation few YC-backed observability startups have earned.
• The free Basic tier requires no credit card and stays free indefinitely, unlike Braintrust which jumps straight from a free tier to a $249/month plan with no mid-tier option in between.
• SOC 2 Type II audited by Vanta and Insight Partners with GDPR and HIPAA compliance stated on its trust center, plus air-gapped and VPC self-hosting for customers that cannot use shared infrastructure.

Cons

• No published pricing above the Basic tier; the Enterprise plan is quote-only, making budget forecasting harder than usage-metered rivals like Braintrust ($3/GB tracing) or Langfuse.
• Basic tier caps data retention at 3 months and 20 tests per project, tight for teams running continuous regression suites across many agents.
• No independently verifiable G2, Trustpilot, or Product Hunt review count was found at time of writing, so buyers must rely on named case studies such as eBay and Comcast LIFT Labs rather than aggregate third-party ratings.

Visit Openlayer Official Website