Predibase Raises $12.2M for Low-Code ML Platform: Democratizing Machine Learning for Developers

As we stride deeper into the AI revolution, low-code machine learning (ML) platforms are emerging as the harbingers of a new era. Predibase, an end-to-end ML platform, recently raised an additional $12.2 million to expand its $16.25 million Series A funding round, led by Felicis. Moreover, the company has made its low-code, declarative ML platform generally available for developers. During its beta period, users trained over 250 models on the platform, and now, they can deploy their own large language models (LLMs) instead of relying on APIs from OpenAI and other providers.

A New Chapter in Machine Learning

Predibase's low-code platform is democratizing access to ML technology by simplifying the process of training and deploying models. This, in turn, opens doors for developers with varying levels of expertise to build AI-driven applications.

Some key features of Predibase's platform include:

  • Declarative ML: Providing a simple, low-code interface for building and training ML models.
  • Model Deployment: Enabling users to deploy their own LLMs without using APIs from other providers like OpenAI.
  • Wide Accessibility: Catering to developers with diverse skillsets and experience in AI and ML.

Did you know?

During Predibase's beta period, users trained over 250 models on the platform, showcasing its potential in revolutionizing the ML landscape.

Unlocking AI's True Potential

As low-code ML platforms like Predibase gain traction, they pave the way for a more inclusive AI ecosystem. By simplifying model training and deployment, these platforms empower developers to create cutting-edge applications and contribute to unlocking AI's true potential.

This development also complements recent advancements in AI-powered design tools, such as Microsoft's AI-powered designer, and open-source projects like Arize's Phoenix.

As the machine learning landscape continues to evolve, low-code platforms like Predibase are set to become catalysts for innovation, fostering growth and adoption of AI-driven solutions across various industries.

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