Ludwig AI
Predibase aims to simplify machine learning and AI adoption by shifting to a declarative ML paradigm, allowing users to specify goals while the platform manages implementation.
At a Glance
AI Tools by Ludwig AI
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Ludwig
Declarative Deep Learning Framework
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Products & Services
An open-source, declarative machine learning framework for building deep learning models.
A low-code enterprise AI platform for fine-tuning and serving open-source LLMs.
A multi-adapter serving framework that allows users to serve hundreds of fine-tuned adapters on a single GPU.
Market Position
Lowering the barrier to custom AI model development compared to complex cloud providers like AWS or GCP through a declarative, low-code interface.
Leadership
Founders
Piero Molino
Creator of Ludwig at Uber AI; Co-founder and Chief Science Officer at Predibase; Research Scientist at Uber AI.
Devvret Rishi
Product Manager at Google (Firebase and Google AI); Kaggle; Co-founder and CEO at Predibase.
Travis Addair
Software Engineer at Uber AI; Main maintainer of Horovod; Co-founder and CTO at Predibase.
Chris Ré
Associate Professor at Stanford University; MacArthur Fellow; Co-founder of Predibase and Lattice Data (acquired by Apple).
Executive Team
Devvret Rishi
CEO (now GM of AI at Rubrik)
Former PM at Google AI and Firebase.
Piero Molino
Chief Science Officer
Creator of Ludwig, former Uber AI.
Board of Directors
Founding Story
Started at Uber with the Ludwig project to democratize deep learning. The founders left Uber to start Predibase to bring the declarative ML approach to the enterprise.
Business Model
Revenue Model
Subscription and usage-based pricing for model training, fine-tuning, and inference hosting.
Pricing Tiers
Ideal for individual developers exploring fine-tuning and basic inference.
For developers building production applications with advanced fine-tuning and higher limits.
Full-scale enterprise deployment with dedicated support, VPC options, and advanced security.
Target Markets
- Enterprise AI Teams
- Software Engineers
- Data Scientists
- LLM fine-tuning and serving
- Text classification and sentiment analysis
- Tabular data prediction (fraud detection, etc.)
- Multimodal classification
- Fortune 500 companies
- Innovative AI startups