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Openlayer
AI evaluation and reliability platform for testing, monitoring, tracing, and data quality across ML and generative systems with CI/CD hooks.
Teams that want to start testing and tracing AI systems quickly on Basic, then graduate to Enterprise controls for SSO and on-prem.
Buyers who need a published Pro mid-tier with dollars, or agent-simulation specialists better served by Patronus-style tools.
Co-founded by Gabriel Bayomi.
Verdict
Openlayer fits teams that want CI-friendly AI tests, observability, and tracing without standing up a full custom harness on day one. Basic is free with capped members, projects, and 20,000 inferences per month; everything collaborative and compliance-heavy moves to Enterprise quotes. Practitioners like the test library and Git hooks; the missing mid-tier price ladder is the main commercial gap versus Braintrust.
Score Breakdown
How Openlayer scores in the categories that matter to its buyers.
Pricing
Openlayer publishes Basic and Enterprise on openlayer.com/pricing. Basic is free with usage caps; Enterprise is sales-quoted with no public dollars as of September 2026.
Model: Basic (free; 1 member, 5 projects, 20k inferences/mo, 20 tests/project, 3-month retention) and Enterprise (unlimited scale, SSO, on-prem, explainability, SLA, custom retention). No published mid-tier USD plan.
The Field at a Glance
Where Openlayer ranks among Eval & quality vendors we reviewed, by Overall Score and relative typical engagement cost.
Openlayer scores 6.5, behind Braintrust (7.8) and Vellum (7.0). Relative cost is lowest when teams stay on Basic before an Enterprise jump.
Use-case matrix
| Use case | Fit | Notes |
|---|---|---|
| CI/CD AI testing & tracing | Strong | Testing and tracing are Openlayer's core product. |
| Free evaluation onboarding | Strong | Basic tier. |
| Published mid-market seat ladder | Poor | No public Pro dollars. |
| Long-horizon agent simulation | Weak | Patronus is more simulation-native. |
Review Excerpts
Representative buyer views drawn from public information about Openlayer. Paid reviews and pay-for-play sites were excluded.
“CI hooks run our model tests on every change, so regressions show up before release.”
Representative buyer view
“We started on the free Basic tier to evaluate a few production prompts.”
Representative buyer view
“Beyond Basic there is only an Enterprise quote, which left a mid-size team with no middle tier.”
Representative buyer view
Where customer reviews couldn't be found, our analysts attempted to give a voice to buyer sentiment, drawing on real information from review sites, forums, and product documentation.
Based on: Openlayer’s website
Company Facts
- Founded
- 2021 (CB Insights)
- Headquarters
- San Francisco, California, United States (CB Insights)
- Employees
- About 24 (Y Combinator)
- Total funding raised
- $19.3M (CB Insights)
- Key investors
- Mindset Ventures, Ground Up Ventures, Quiet Capital, Y Combinator (CB Insights)
- Accelerator
- Y Combinator, Summer 2021 batch (Y Combinator)
- Website
- openlayer.com
Key Leadership
Gabriel Bayomi
Co-founder and CEO
Methodology
This page is an independent evaluation of Openlayer for buyers comparing options in eval & quality. AI Industry Reviews accepts no sponsorships, advertising, or pay-for-placement fees. Openlayer did not pay for this review.
What we scored
The headline number is an Overall Score on a 0-10 scale. Eight criteria fall under it in two groups.
- Buyer outcomes (for eval & quality)
- Eval workflow
- Scorer flexibility
- Release gating
- Team habit fit
- Company & commercial
- Innovation & product leadership
- Project management & communication
- Pricing
- Contract fairness
Pricing measures whether the price looks fair for the value delivered, including packaging and renewal friction that show up in real buying cycles.
Score Composition
| Input | Weight | What it covers |
|---|---|---|
| Reviews | 40% | A proprietary read of what practitioners say about likes, complaints, and day-to-day use, including public review sites, forums, and private chat rooms. Paid reviews and pay-for-play sites are out of scope. |
| Product | 35% | Hands-on look at screens and workflows. |
| Pricing | 15% | Whether the price looks fair for what you get. |
| Docs & training | 10% | Docs, tutorials, and training material. |
How we balanced the evidence
The Overall Score is the simple average of the eight criteria. Recommendation language follows that score and the use-case matrix above.
Scope
Openlayer is graded here as eval & quality. Criteria scores can move as more review volume and product checks are added.