Gradient's platform hosts open-source LLMs, including Meta’s Llama 2, which users can fine-tune to their needs. It also offers models for specific use cases and industries. The platform can host and serve models through an API or deploy AI systems in a public cloud environment. Customers maintain full ownership and control over their data and trained models. Currently, Gradient is working with around 20 enterprise customers and aims to scale its cloud backend and grow its team from 17 to 25 by the end of the year.
Key takeaways:
- Gradient, an AI startup that enables developers to build and customize AI apps in the cloud using large language models (LLMs), has raised $10 million in funding from investors including Wing VC, Mango Capital, and Global Founders Capital.
- The platform allows organizations to develop and integrate thousands of LLMs into a single system, and users can fine-tune open source LLMs to their needs.
- Gradient can host and serve models through an API or deploy AI systems in an organization’s public cloud environment, with customers maintaining full ownership and control over their data and trained models.
- Despite competition from other startups and tech giants like Google and Amazon, Gradient differentiates itself by enabling companies to "productionize" multiple models at once, and is priced on-demand, meaning users only pay for the infrastructure they use.