End-to-end machine learning platform Predibase today announced a $12.2 million extension to its $16.25 million Series A funding round from last year. The company also announced that its low-code, declarative ML platform for developers is now generally available.
During the beta period, which launched when the company came out of stealth last year, users trained over 250 models on the platform. Now that the service is generally available, these users can also use Predibase to deploy their own large language models (LLMs) instead of using an API like OpenAI. Users will also have access to Predibase’s own LudwigGPT LLM – named after the suite of machine learning tools that Predibase co-founder Piero Molino launched in 2019 (not the tragic 19th century Bavarian king ).
“Every company wants to gain a competitive advantage by integrating ML into their internal and customer-facing applications. Unfortunately, today’s ML tools are too complex for engineering teams and data science resources are overstretched, leaving developers working on these projects to hold the bag,” said Piero Molino, co-founder and CEO of Predibase. “Our mission is to make it easy for novices and experts alike to build ML applications and get them into production with just a few lines of code. And now, we’re extending those capabilities to support building and deploying custom LLMs. .
To do this, the company also today announced its Data Science Copilot, a system that can give developers recommendations on how to improve the performance of their models. Predibase is also launching a free two-week trial version of its platform.
Current clients include Paradigm (which does something with crypto) and Koble.ai (a tool that uses AI to help investors find early-stage investments).
Like most startups at this stage, Predibase plans to use the new funding to expand its go-to-market functions and grow its platform.
Between low-code/no-code ML platforms from AWS, Google and Microsoft and many startups in this space, Predibase operates in an increasingly crowded market. The company argues that its focus on developers and its ability to provide them with easy escape hatches from the low-code environment sets it apart.