HelixML: Build and Deploy Private AI Agents with Full Control

HelixML is a powerful platform designed for software and DevOps teams to rapidly build, deploy, and manage AI agents on a private GenAI stack, ensuring data sovereignty and enterprise-grade security. It eliminates the need for AI/ML specialists by offering an intuitive Agent Framework with API tool integration, a pre-built skills library, and a robust RAG pipeline featuring auto-chunking, hybrid search, and validated citations to minimize hallucinations. With support for both local model deployment (via Ollama, vLLM, Diffusers, Axolotl) and cloud API proxying (Azure OpenAI, Amazon Bedrock, Google Gemini, OpenAI-compatible endpoints), HelixML enables seamless integration across diverse environments. Advanced features include vision capabilities powered by ColPali technology for deep document understanding, GPU scheduling for dynamic resource allocation and up to 80% cost savings, and Evals & CI/CD for automated testing and performance tracking. The platform supports secure, air-gap-ready deployment across hosted, self-hosted, local, cloud, and on-premises infrastructures (Docker, K8s, Rancher, VMware), with full customization and compliance certifications such as SOC 2 Type II, ISO 27001, HIPAA Ready, and FedRAMP in progress. Enterprise users benefit from advanced security with bank-grade encryption, zero-trust architecture, RBAC, and integration with Active Directory, Okta, and OIDC providers. From proof-of-concept to production, teams can scale in weeks with flexible licensing and support options, including a Free Community Edition for qualifying organizations and a premium GenAI Pilot Program for custom development and executive guidance.

Key Features:

• Private GenAI Stack for full data control and sovereignty
• AI Agent Framework with API tool integration and pre-built skills library
• RAG Pipeline with auto-chunking, hybrid search, and validated citations
• Vision Capabilities using ColPali for advanced document understanding
• Support for Local Model Deployment (Ollama, vLLM, Diffusers, Axolotl)
• Cloud API Proxying (Azure OpenAI, Amazon Bedrock, Google Gemini, OpenAI-compatible)
• Evals & CI/CD for automated testing, performance tracking, and regression detection
• GPU Scheduler for dynamic allocation, multi-tenancy, and up to 80% cost reduction
• Enterprise-Grade Authentication & RBAC with Active Directory, Okta, OIDC
• Fine-Grained Permissions for agents, datasets, and integrations
• Multiple Deployment Options: Hosted Platform, Trial VM, Dedicated GPUs, Local Laptop/Computer, Cloud (AWS, GCP, Azure, OCI), On-Premises (Docker, K8s, Rancher, VMware)
• Air-Gap Ready and Compliance with GDPR, HIPAA, SOX, and FedRAMP
• White-Label Branding and Custom Functionality Development
• ROI Calculator, Implementation Guide, and Case Studies for streamlined adoption

Pricing: HelixML offers a Free Community Edition for qualifying organizations (under $10M revenue or 250 employees), a GenAI Pilot Program at $125K for 8 weeks with executive support, and scalable options including Shared Platform, Personal, and Enterprise Pro with self-service licensing and optional managed hosting. Dedicated GPU deployment is priced at $5/hour per 80GB A100 GPU, with additional licensing fees. Support ranges from Community-only to Premium 24/7 with SLAs.

Conclusion: HelixML is a transformative platform for teams seeking secure, scalable, and rapid deployment of private AI agents—ideal for organizations prioritizing control, compliance, and performance without requiring deep AI expertise.