What's new: Openlayer named in the 2026 Gartner Market Guide® for AI Evaluation and Observability Platforms. Learn More

AI should be somethingpeople trust.

Openlayer exists to help organizations build and deploy AI that people can confidently rely on

Learn more

The future deserves better AI.

Today, too much of the conversation around AI is shaped by what could go wrong.

Hallucinations. Loss of control. Regulation. Replacing people.

Those concerns are real, but they shouldn't define the future.

We believe AI has the potential to improve healthcare, accelerate scientific discovery, transform education, make transportation safer, and unlock entirely new ways of working.

At Openlayer, we're working toward a future where trust unlocks AI’s greatest potential. A future where organizations can build with confidence because their systems are transparent, accountable, and continuously improving.

Trust isn't something you claim.

It's something you earn, every day.

2021

Founded by ex-Apple Siri and Vision Pro ML engineers

Backed by Y Combinator

YC + Race

Backed by Y Combinator and Race Capital

SOC 2Type II

Plus GDPR compliance

Openlayer started at Apple.

Our founders built models for Siri and Vision Pro across multiple teams, and kept rebuilding the same infrastructure to evaluate how those models performed. Because Apple is so privacy-oriented, there was no shared system for evaluation, observability, or governance, so every team solved the same problem from scratch.

Some of those models powered core Siri, like the natural language systems already shipping to hundreds of millions of people. Others were for projects not yet released, like Vision Pro. From both vantage points we saw the same question: how do you know a model will work well for all kinds of people and situations? At Apple we could test that Siri worked when someone called 911, but never anticipate every real-world edge case, such as a baby crying, road noise, or a HomePod answering from another room.

We founded the company to catch those edge cases before shipping, instead of waiting for users to find the gaps. We named it Openlayer to capture the idea of opening up the layers of an AI system: the layer of your workflow built to understand your AI, open and transparent by design. We started as Unbox, for unboxing the black box of a model, and changed the name to avoid conflicts.

Over time we grew from pre-deployment testing into production monitoring, so engineers could test thoroughly before shipping, find gaps quickly in production, fix them, and redeploy with far faster iteration velocity. In the last couple of years, as generative and agentic AI became easier to build and more powerful, we added a third focus: governance and AUTOMATED COMPLIANCE.

The good people

Nicholas Baker

Nicholas Baker

Head of Customer Solutions

Jaime Bañuelos

Jaime Bañuelos

Head of Strategic Alliances

Gabriel Bayomi

Gabriel Bayomi

Co-founder & CEO

J.D. Bonnar

J.D. Bonnar

VP of Sales

Kim Capili

Kim Capili

Executive Assistant

Matt Cubillos

Matt Cubillos

Account Executive

Joao Dutra

Joao Dutra

Head of Operations

Juliana Van Daele

Juliana Van Daele

Head of Growth

Vinicius Mello

Vinicius Mello

Head of Solutions, LATAM

Vikas Nair

Vikas Nair

Co-founder & CPO

Sandy Nguyen

Sandy Nguyen

Senior Product Designer

Gustavo Cid Ornelas

Gustavo Cid Ornelas

Founding Engineer

Matheus Portela

Matheus Portela

Senior Backend Engineer

Michaela Haen

Michaela Haen

SDR

Walter Lewis

Walter Lewis

AI Governance & Risk Management

Rishab Ramanathan

Rishab Ramanathan

Co-founder & CTO

Bryan Roberts

Bryan Roberts

Sr. Enterprise Account Executive

Guilherme Rodz

Guilherme Rodz

Design Engineer

Luciano Rolim

Luciano Rolim

Head of Sales, LATAM

John Schmitt

John Schmitt

Lead SDR

Siddhant Shah

Siddhant Shah

Senior Backend Engineer

Taylor Whipp

Taylor Whipp

Pre-Sales Engineer

Vitali Zahharov

Vitali Zahharov

Product Designer

Why we come to work

“Openlayer fits directly into our pipeline. We block an unsafe deployment in CI the same way we block a failing unit test, except now we are testing AI quality and safety, not just code correctness.”

Michaela Haen

Backed by builders.

We’re fortunate to be backed by venture firms and operators who have helped build companies like Vercel, Instacart, Mercury, Instagram, Thumbtack, and others. Their support lets us stay focused on the long-term challenge: helping the world build AI people can trust.

Angel Investors
Guillermo Rauch

Guillermo Rauch

Vercel

Max Mullen

Max Mullen

Instacart

Mike Krieger

Mike Krieger

Instagram

Immad Akhund

Immad Akhund

Mercury

Jonathan Swanson

Jonathan Swanson

Thumbtack

Astasia Myers

Astasia Myers

Felicis

Anjney Midha

Anjney Midha

a16z

John Kim

John Kim

Sendbird

Gokul Rajaram

What is Openlayer?

Openlayer is the AI governance platform that helps enterprises discover, test, monitor, govern, and optimize AI systems across their entire lifecycle, from prototype to production.

Why was Openlayer founded?

The founders saw the same problem repeat at every AI team they worked with: each one rebuilt its own infrastructure to evaluate model performance because there was no shared system for it. They built Openlayer to solve that once, for everyone.

What is Openlayer's mission?

Openlayer's mission is to help organizations confidently build, deploy, and operate trustworthy AI systems by making their behavior measurable, governable, and accountable.

What makes Openlayer different from other tools in this space?

Openlayer unifies evaluation, observability, guardrails, governance, compliance, and cost controls on one platform, where many other tools in the category specialize in only one or two of those layers.

Who founded Openlayer, and what is their background?

Openlayer was founded in 2021 by Gabriel Bayomi, Vikas Nair, and Rishab Ramanathan, three machine learning engineers who previously worked together at Apple on projects including Siri and Vision Pro.

Who uses Openlayer inside a typical customer organization?

Engineering, AI, security, compliance, and finance teams all use Openlayer, typically working from the same underlying data through views built for each team's job.

What industries does Openlayer serve?

Openlayer serves healthcare, financial services, telecommunications, automotive, cybersecurity, and other regulated industries where an AI mistake carries real financial, safety, or regulatory consequences.

What AI systems does Openlayer support?

Openlayer supports large language models, retrieval augmented generation, AI agents, traditional machine learning, and multimodal AI systems.

Can Openlayer integrate with a company's existing infrastructure?

Openlayer integrates with existing infrastructure through SDKs, a gateway, a CLI, and a REST API, rather than requiring a rebuild of a company's AI stack.

Is Openlayer funded and stable as a long-term vendor?

Openlayer is backed by Y Combinator and Race Capital, announced a Series A financing round in 2025, and holds SOC 2 Type II certification.

Why is AI governance becoming so important right now?

AI adoption and AI regulation are both accelerating at the same time, and organizations that cannot show how a system was tested, monitored, and controlled face growing exposure to both operational failures and regulatory penalties.

Good people, making trustworthy AI.

2026 Openlayer. All rights reserved.