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HelixML

Helix provides a private GenAI platform that enables businesses to deploy open-source AI models, including language and image models, on their own infrastructure or in the cloud. The platform facilitates the development of AI applications through fine-tuning, API integration, and knowledge management, optimizing GPU memory usage and reducing latency.

Bristol, United KingdomFounded 20236100+ followers
Updated 4 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Product

Problem

Many businesses struggle to deploy and manage open-source AI models due to the complexities of infrastructure setup, API integration, and knowledge management. Optimizing GPU memory usage and minimizing latency further complicate the development of AI applications.

Solution

Helix is a private GenAI platform that simplifies the deployment of open-source AI models, including language and image models, on a company's own infrastructure or in the cloud. The platform streamlines AI application development through features like fine-tuning, API integration, and knowledge ingestion. Helix offers tools to connect and drive internal and external APIs with natural language, such as customer data and product catalogs. It also facilitates the ingestion of knowledge from URLs, PDFs, and other document formats, with regular refresh capabilities.

Target Audience

The primary target audience includes platform teams and AI engineers seeking to deploy and manage open-source AI models within their existing infrastructure.

Features

  • DevOps automation for deploying GenAI on Kubernetes, OpenShift, or Docker with NVIDIA GPU support
  • Tools to connect and drive internal & external APIs with natural language
  • Knowledge ingestion from URLs, PDFs, and other document formats with regular refresh capabilities
  • Support for fine-tuning models to specialize in specific domains, reducing energy consumption and costs
  • Ability to embed AI assistants into websites and applications with specialized tools and knowledge
  • Secure deployment on private infrastructure, Kubernetes, or Docker in any cloud environment
  • Integration with curated open LLMs, with optional pass-through to closed models
  • Tools to write application logic in natural language and deploy Javascript frontends for AI agents
This profile is AI-generated and may contain inaccuracies.