OpenPipe

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Model deployment and integration
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OpenPipe is a platform that enables developers to create application-specific LLMs through fine-tuning. The company aims to simplify the process of integrating LLMs into production applications. OpenPipe's core technology allows developers to fine-tune smaller models that can match or exceed the performance of larger, general-purpose LLMs when specialized for specific tasks.

The platform works by integrating into a customer's existing codebase to collect prompts, which are then used as training data to fine-tune smaller, more specialized models. Developers can use these fine-tuned models as drop-in replacements for their existing prompts. OpenPipe's solution is particularly beneficial for teams and organizations without dedicated machine learning specialists, as it simplifies the complex workflow typically required for fine-tuning LLMs.

Since its launch in September 2023, OpenPipe claims to have helped customers save over USD 29 million in inference costs. The company also claims to be 25x cheaper and can collect training data in five minutes.

Key customers and partnerships

The company’s customer base includes engineers at firms such as Volvo, Visualping, Rakuten, and Y Combinator.



HQ location:
San Francisco CA USA
Founded year:
2023
Employees:
1-10
IPO status:
Private
Total funding:
USD 6.7 mn
Last Funding:
USD 6.7 mn (Seed; Mar 2024)
Last valuation:
-
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