Predibase

Predibase

State-of-the-art machine learning for engineers and data practitioners as easy as writing a SQL query.

HQ location
San Francisco, United States
Launch date
Employees
Enterprise value
$81m
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Financials

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Revenues, earnings & profits over time
USD20222023
Revenues00000000
% growth-41 %
EBITDA00000000
Profit00000000
EV00000000
EV / revenue00.0x00.0x
EV / EBITDA00.0x00.0x
R&D budget00000000

Source: Dealroom estimates

More about Predibase
Made with AI
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Predibase is a cutting-edge startup that specializes in fine-tuning and deploying open-source large language models (LLMs). The company operates in the artificial intelligence (AI) and machine learning (ML) market, catering primarily to businesses and organizations that require advanced AI capabilities but may not have the in-house expertise to develop these models from scratch. Predibase's clients include tech giants, startups, and enterprises across various sectors such as finance, healthcare, and e-commerce.

The core of Predibase's offering is built on open-source frameworks like Ludwig and LoRAX. Ludwig is a framework that allows engineers to develop, train, and deploy state-of-the-art deep learning models without needing to write low-level code. LoRAX, on the other hand, enables the efficient serving of thousands of fine-tuned LLMs on a single GPU, significantly reducing operational costs while maintaining high performance.

Predibase's business model revolves around providing a platform where users can fine-tune and deploy their own LLMs. The company offers various tiers of service, including serverless endpoints and dedicated deployments, which cater to different levels of usage and performance needs. Revenue is generated through subscription fees for access to the platform, as well as additional charges based on usage metrics such as the number of models deployed and the computational resources consumed.

In summary, Predibase simplifies the process of leveraging advanced AI models for businesses, making it accessible even to those without deep technical expertise. By focusing on open-source technology and efficient deployment methods, the company provides a cost-effective solution for integrating AI into various business applications.

Keywords: AI, machine learning, LLMs, open-source, fine-tuning, deployment, Ludwig, LoRAX, GPU, subscription.

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