Guardrails AI

AI Safety & Security

Guardrails AI is a Menlo Park-based developer of an open-source platform for validating outputs and enforcing safety policies in generative AI applications.

Reviewed by 7wData
Share Email

On this page

Profile

Guardrails AI provides an open-source platform that helps developers validate and enforce safety policies on outputs from large language models and generative AI applications.

Guardrails AI is a Menlo Park-based developer of an open-source platform for validating outputs and enforcing safety policies in generative AI applications. Founded in 2023 by Shreya Rajpal (CEO), Diego Oppenheimer, Safeer Mohiuddin, and Zayd Simjee, the company raised a $7.5 million seed round in February 2024 led by Zetta Venture Partners, with participation from Bloomberg Beta, Pear VC, GitHub Fund, Factory, and others. As of early 2025, the company reported approximately 10–20 employees and an estimated annual revenue of $941,105, according to third-party estimates.

The platform is used by roughly 40,000 developers across hundreds of organizations, including MasterClass and Changi Airport, which are cited as case studies on the company's website. Guardrails AI offers a suite of tools for synthetic data generation, dynamic evaluation of edge cases, and runtime guardrails that block policy violations, hallucinations, and data leakage before outputs reach users. The company also maintains the Guardrails Hub, a repository of reusable validation techniques.

In 2025, the company's CEO Shreya Rajpal co-taught a short course on safe and reliable AI via guardrails with Andrew Ng through DeepLearning.AI. The company's open-source framework is model-agnostic and deployable across any LLM and environment. The broader regulatory context for AI guardrails remains fluid; in January 2025, the Trump administration signaled a push for fewer federal guardrails on AI development, while Federal Reserve Governor Michael Barr in November 2025 called for clear guardrails to prevent risks in financial-sector AI adoption. Guardrails AI operates in a competitive landscape that includes Scale AI, Clarifai, and Databricks, among others.

Track Guardrails AI and 240+ vendors.

48k+ subscribers read the daily AI & data note. One email, both newsletters. Unsubscribe anytime.

Who buys this

  • Enterprises deploying generative AI in production who need to prevent hallucinations, data leaks, and policy violations
  • Government agencies requiring compliance and safety assurances for AI outputs
  • Startups building AI-powered applications who need rapid, reusable validation techniques
  • Developers and data science teams fine-tuning or distilling LLMs who need realistic synthetic data for training

Publicly disclosed clients

  • MasterClass
  • Changi Airport

Strengths and what to watch

Strengths

  • Open-source, model-agnostic framework that integrates with any LLM and deployment environment, reducing vendor lock-in risk for users
  • Strong early traction with approximately 40,000 developers and hundreds of organizations, including named enterprise clients like MasterClass and Changi Airport
  • Founding team combines deep AI safety experience (Rajpal from Drive.ai and Apple) with developer-platform expertise (Oppenheimer co-founded Algorithmia, acquired by DataRobot)

Watch for

  • Revenue is modest ($941K estimated annual) relative to the $7.5M seed raised; the company must demonstrate a path to meaningful commercial scale and recurring revenue
  • The open-source model creates a tension between community adoption and monetization; the company's ability to convert free users into paying customers remains unproven
  • The regulatory environment for AI guardrails is shifting—the Trump administration's January 2025 push for fewer federal guardrails could reduce compliance-driven demand for the company's products

Key Information

Industry
AI Safety & Security
Founded
2023
Headquarters
Menlo Park, USA

Frequently Asked Questions

What is Guardrails AI?

Guardrails AI is an open-source platform that helps developers validate and enforce safety policies on outputs from large language models and generative AI applications. Founded in 2023, it is based in Menlo Park and used by about 40,000 developers.

How does Guardrails AI prevent AI hallucinations and data leaks?

Guardrails AI provides runtime guardrails that block policy violations, hallucinations, and data leakage before outputs reach users. It also offers tools for synthetic data generation and dynamic evaluation of edge cases to ensure safe and reliable AI outputs.

Is Guardrails AI free to use?

Guardrails AI is an open-source platform, meaning its core framework is free to use. It is model-agnostic and deployable across any LLM and environment. The company also maintains the Guardrails Hub, a repository of reusable validation techniques for developers.

What companies use Guardrails AI?

Guardrails AI is used by hundreds of organizations, including notable clients like MasterClass and Changi Airport. The platform is adopted by enterprises deploying generative AI in production to prevent hallucinations, data leaks, and policy violations.

Who founded Guardrails AI and how is it funded?

Guardrails AI was founded in 2023 by Shreya Rajpal, Diego Oppenheimer, Safeer Mohiuddin, and Zayd Simjee. It raised a $7.5 million seed round in February 2024 led by Zetta Venture Partners, with participation from Bloomberg Beta, Pear VC, and others.

What is the Guardrails Hub?

The Guardrails Hub is a repository of reusable validation techniques maintained by Guardrails AI. It allows developers to access and share pre-built guardrails for enforcing safety policies on LLM outputs, helping ensure compliance and reliability in generative AI applications.

Sources

  1. docs.guardrailsai.com — Product description, case studies (MasterClass, Changi Airport), and DeepLearning.AI course collaboration
  2. pitchbook.com — Funding details ($7.5M seed, Feb 2024), headcount (10 employees), HQ location, and investor list
  3. prospeo.io — Estimated annual revenue ($941,105), revenue per employee ($86,000), and employee count (11-20)
  4. startupintros.com — Founder names, total funding ($8M seed), investor list including Zetta Venture Partners, Bloomberg Beta, Pear VC, GitHub Fund, and user count (~40,000)
  5. www.bloomberg.com — Regulatory context: Trump administration's January 2025 push for fewer federal AI guardrails
  6. www.bloomberg.com — Regulatory context: Fed Governor Michael Barr's November 2025 call for clear AI guardrails in financial sector