What is HelixML?
HelixML provides a comprehensive platform for building and deploying private Generative AI applications. It empowers businesses to leverage the power of open-source models, Retrieval-Augmented Generation (RAG), APIs, and fine-tuning to create custom AI solutions.
The platform offers flexible deployment options, including on-premise, in-VPC, and through Helix Cloud, ensuring data security and control. Helix supports various infrastructure environments like Docker, Kubernetes, Openshift, Rancher, AWS, Google Cloud, VMWare, and Azure.
Features
- Helix API Tools: Connect and drive internal & external APIs with natural language.
- Knowledge: Ingest and scrape URLs, upload PDFs, word docs, etc.
- Curated Models: The best open LLMs, secure, scalable & private, with optional pass-through to closed models.
- Build AI Apps: Write application logic in natural language and deploy Javascript frontends for AI agents.
- Fine-tune models: Build your own smaller, specialized models.
- Helix Assistants: Embed AI assistants into websites/apps.
- Secure to operate: Deploy privately on Kubernetes or Docker and in any cloud.
Use Cases
- Personalized recommendations to drive revenue.
- AI automation with copilots and agents for rote tasks.
- Implementing AI compliance with fully private local models.
- Creating AI-powered search for websites.
- Building custom AI applications for specific business needs.
FAQs
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What deployment options does Helix offer?
Helix can be deployed anywhere, from your desktop to your cloud, or Helix's cloud. Specific options include a Cloud Hosted SaaS and a Private On-Premise / In-VPC option.
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HelixML Uptime Monitor
Average Uptime
99.61%
Average Response Time
212.47 ms
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