Relevant if you build with AI tools, APIs, or coding agents. Relevant als je bouwt met AI-tools, API's of coding agents.
OpenAI Pioneers Program OpenAI Pioneers Program
Title: OpenAI Pioneers Program Title: OpenAI Pioneers Program
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OpenAI Pioneers Program | OpenAI
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April 9, 2025
Company
Announcing OpenAI Pioneers Program
Advancing model performance and real world evaluation in applied domains.
Today, we’re announcing the OpenAI Pioneers Program, an effort designed to advance the deployment of AI to real world use cases. The program will be focused on creating evals that set the bar for what good looks like, and giving builders the tools to optimize model performance in their domains.
As the pace of AI adoption accelerates across industries, there is a need to understand and improve its impact in the world. Creating domain-specific evals are one way to better reflect real-world use cases, helping teams assess model performance in practical, high-stakes environments. Fine-tuning reasoning models is also proving to be a powerful way to improve performance across a wide range of applications — with less data and effort required.
With the OpenAI Pioneers program, we will be working with companies building new products in high-impact verticals to expand their product capabilities through individualized efforts with our research teams. Companies in the program will be supported by researchers of the OpenAI team to create:
Domain-specific evals for industry
We believe that industries like legal, finance, insurance, healthcare, accounting, and many others are missing a unified source of truth for model benchmarking.
We are excited to spend time assisting eval creation with multiple companies in each sector over the coming months. Our team will work intensively with each company to design evals tailored to their domain—establishing clear benchmarks that guide model development and improve trust in AI systems, and sharing them publicly. Industry specific evals will be published at a later date.
Custom fine-tuned models for three industry-specific use cases
Companies in the program will have the opportunity to collaborate with our team to create model improvements with reinforcement fine tuning (RFT)—a model customization technique that enables the creation of “expert models” for a narrow set of tasks in their domain—and train custom models for the company’s top three use cases. With RFT companies can better solve customers’ pain points and improve model inefficiencies.
Our team will guide companies through the fine-tuning process. Companies can then choose how to deploy these models—which should be ready for production use at scale.
The first cohort will focus on startups who will help lay the foundations of the OpenAI Pioneers Program. We’re selecting a handful of startups for this initial cohort, each working on high-value, applied use cases where AI can drive real-world impact.
_If you are a company that is interested in participating in the OpenAI Pioneers Program, please fill out the form below. We look forward to hearing from you._
Let’s start with your details:
First name*
Last name*
Email address*
Where are you based?
City*
Country*
Tell us about what you’re building:
Company name*
Company website (if applicable)
Stage of company*
What sector are you building in*
What are the industry specific use-cases in which models are currently failing you and your customers?*
In what instances would domain-specific evals benefit your industry?*
Is there anything else you would like us to know?*
Submit
*
First Name:
Last Name:
Email Address:
City:
Company Name:
Website (Form Fill):
Foundry Company Stage:
Foundry Company Sector:
Foundry Company Sector Other:
Foundry Domain Specific Evals:
Foundry Industry Use Case:
Country:
Foundry Additional Details:
Operational Opt In:
*
IP Country (Form Fill):
Authors
OpenAI
*
Foundry Company Stage:
*
Foundry Company Sector:
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Foundry Company Sector Other:
*
Foundry Domain Specific Evals:
*
Foundry Industry Use Case:
*
Country:
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Foundry Additional Details:
*
Operational Opt In:
- [x]
*
IP Country (Form Fill):
Submit
Authors
OpenAI
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