Overview of HelixML: Private GenAI Platform for Cloud-Native Applications

HelixML is a platform designed to facilitate the building, testing, and deployment of generative AI (GenAI) applications. It offers a comprehensive suite of tools and services that enable businesses to integrate AI capabilities into their operations securely and efficiently. HelixML supports deployment on private infrastructure as well as on various cloud environments.

Key Features

Deployment Flexibility

Private Deployment: HelixML can be deployed privately on-premises or within a Virtual Private Cloud (VPC), ensuring complete data security.
Cloud Deployment: Users have the option to deploy HelixML on major cloud platforms including AWS, Google Cloud, VMWare, and Azure using container technologies like Docker and Kubernetes.

Development and Integration

Helix App Editor: Allows users to build AI applications using natural language and deploy JavaScript frontends for AI agents.
API Connectivity: HelixML can connect and drive internal and external APIs with natural language, facilitating the integration with customer data and product catalogs.
Knowledge Management: The platform can ingest and refresh knowledge regularly from various sources like URLs, PDFs, and Word documents.

AI Model Management

Curated Models: Access to secure, scalable, and private open large language models (LLMs), with options to connect to proprietary models like GPT-4, Gemini, and Claude.
Fine-tuning: Users can build specialized smaller models tailored to their specific domain, helping reduce energy usage and operational costs at scale.

Security and Compliance

Private Local Models: Ensures that all operations are fully private with models running locally or in a user-controlled cloud.
Comprehensive Security: Deployment options are designed to be secure, supporting Kubernetes, Docker, and hybrid runners.

User Interface and Interaction

Helix UI: Provides tools for embedding AI functionalities into applications through SDKs, APIs, and voice interfaces.

Pricing and Plans

Cloud Hosted SaaS

Cost: $20 per user per month for the premium tier.
Features: Includes access to GPT-4 level models, unlimited RAG and knowledge image generation, hosted GPTScript Apps, and up to 10 fine-tunes per month.

Private On-Prem / In VPC

Cost: $1,000 per month for up to 10 users; additional $300 per month per GPU, plus support.
Features: Complete data security, use of own GPUs or external LLMs, and Docker Desktop License.

Use Cases and Industries

HelixML caters to a wide range of industries including:

Financial Services
Healthcare
Construction & Real Estate
Energy
Manufacturing
Retail & e-commerce
Telecommunications
Consulting
IT Services
Technology

Supported Functions

HelixML supports various business functions such as:

Sales
Marketing
Engineering
DevOps
Human Resources
Legal

Client Testimonials

Romain Klein from Rescale has praised the ability to deploy HelixML on private infrastructure, highlighting its effectiveness and adaptability.

Conclusion

HelixML provides a robust and flexible platform for businesses looking to integrate and leverage generative AI within their existing systems and workflows. With its extensive support for various deployment environments, comprehensive security measures, and powerful AI model management, HelixML is a capable tool for enterprises aiming to enhance their operations with AI technology.