Predibase's Low-Code AI Platform Empowers Engineers to Build Custom GPTs and Secures $28M in Expanded Series A Funding

WHO

Predibase, the pioneering low-code declarative ML platform for developers, has made significant advancements in the field of machine learning (ML). Their platform enables engineers and data scientists to effortlessly build, iterate, and deploy sophisticated AI applications, without the need for extensive ML expertise. Predibase's solution has gained traction with Fortune 500 companies, high-growth startups, and organizations like Paradigm and Koble.ai, offering ML capabilities to a wider audience.

WHAT

Predibase has developed a powerful low-code ML platform that provides access to proprietary declarative ML approaches previously adopted by companies such as Uber, Apple, and Meta. By simplifying ML development, Predibase allows developers and data scientists to define prediction tasks and leverage large AI models effortlessly. The platform automates complex ML processes, reducing the deployment time for ML-powered applications from months to days. Predibase's platform has already trained over 250 models since its release.

WHY

In today's competitive landscape, enterprises strive to embed ML into their internal and customer-facing applications to gain a competitive edge. However, the complexity of existing ML tools poses challenges for engineering teams, while the scarcity of data science resources further hinders ML projects. Predibase addresses these issues by providing a low-code solution that allows both novices and experts to build and deploy ML applications quickly and efficiently, even without extensive ML knowledge.

HOW IT WORKS

Predibase's platform enables users to leverage large language models (LLMs) for their ML tasks. Instead of renting LLMs from costly API vendors, organizations can securely deploy their own LLMs within their enterprise infrastructure. Predibase offers optimizations that accelerate LLM tuning while reducing costs significantly. Additionally, the platform includes the Data Science Copilot, which provides developers with expert recommendations to enhance model performance, real-time explanations, and iterative examples.

CUSTOMERS

Predibase's platform has been adopted by Fortune 500 organizations, high-growth startups, and regulated industries like finance and healthcare. Paradigm, the largest global liquidity network for cryptocurrencies, has leveraged Predibase to build new product capabilities, enhancing relevance scoring and in-platform intelligence. The platform has enabled Paradigm's engineering team to reduce production model development time from months to minutes, achieving cost savings.

FUNDING

Predibase recently announced an expansion of its Series A funding, securing an additional $12.2 million led by Felicis. This expansion brings the total funding for the company to $28.5 million. The increased funding will support Predibase's go-to-market efforts and enable the platform to introduce new capabilities, further empowering organizations in their ML development endeavors.

KEY TAKEAWAY

Predibase's low-code declarative ML platform revolutionizes the way engineers and data scientists develop ML applications. By simplifying complex ML processes, Predibase enables organizations to accelerate ML development, reduce time to value, and leverage large AI models efficiently. With expanded funding and a growing customer base, Predibase is poised to continue driving innovation in the ML industry and make state-of-the-art ML accessible to every organization.