HelixML has introduced Helix 2.0, a private AI platform designed to enable enterprises and developers to deploy production-ready AI agents on their own infrastructure within an 8-week timeframe. The platform aims to address complexities, high costs, and security risks associated with traditional AI deployments, offering tools for building, deploying, and managing AI solutions with data sovereignty and predictable economics.
Currently in production at several Fortune 500 financial services firms, Helix 2.0 reduces deployment times from 6-12 months to 8 weeks. It operates with predictable, fixed licensing and infrastructure fees, which can result in cost reductions of up to 75% compared to public AI platforms. Operational risk is reported to decrease by 90% due to enterprise-grade testing, version control, and rollback capabilities. Integrated Vision RAG technology enhances document processing accuracy by 85%, which is critical for complex financial, regulatory, and technical documents. Helix 2.0 supports CI/CD platforms and Git-based workflows, allowing teams to utilize existing processes and systems.
Key features of Helix 2.0 include deployment on private infrastructure to ensure compliance with regulations such as GDPR and HIPAA, mitigating risks linked to public AI platforms. It facilitates agentic AI and enterprise CI/CD, allowing the building, testing, and deployment of AI agents and Large Language Models (LLMs) with software engineering rigor, including integration with leading CI/CD platforms, automated testing, GitOps workflow support, and rollback capabilities. Vision RAG Integration, powered by ColPali, processes complex documents with enhanced accuracy. Its Kubernetes-native architecture supports scalability for over 1000 concurrent users with reliability and performance. The platform offers OpenAI-compatible APIs for seamless migration of existing projects and enterprise-grade authentication, integrating with Okta, Auth0, and Active Directory.
Paul Nashawaty, Principal Analyst at theCUBE Research, stated, “HelixML’s launch of Helix 2.0 represents a pivotal shift in enterprise AI adoption, moving from experimentation to secure, production-ready deployment in record time. According to theCUBE Research, 68% of enterprises are piloting or deploying AI agents, but many face 6-12 month ramp-up timelines and spiraling infrastructure costs. Helix 2.0 condenses that timeline to just eight weeks, offering up to 75% cost savings and an 85% improvement in document processing accuracy. For highly regulated sectors like financial services, this level of integration, data sovereignty, and CI/CD compatibility is no longer a competitive advantage; it’s a business imperative.”
Helix 2.0 operates by provisioning secure, private infrastructure and deploying pre-configured open-source models and agent templates for new projects. Its orchestration engine dynamically allocates resources and optimizes model selection based on workload requirements. AI agents are defined as modular YAML configurations, versioned and managed through Git for traceability and rollback. Native integration with enterprise DevOps pipelines supports automated testing, CI/CD workflows, and GitOps practices, enabling rapid, auditable deployment of AI agents at scale. The integrated Vision RAG technology employs visual document understanding to process complex, multi-modal files, ensuring accurate data extraction and analysis.
Luke Marsden, CEO of HelixML, commented, “As someone who’s spent years building and deploying AI in the real world, I know that speed, control, and trust aren’t just nice-to-haves, they’re mission-critical. With Helix 2.0, we’re not just solving today’s enterprise AI challenges, we’re charting a new course for developers and enterprises, one where organizations can move fast, stay secure, and truly own their AI future.”
Helix 2.0 offers flexible deployment options designed to eliminate recurring API fees and reduce AI model inference costs. The pricing model includes a Hosted Platform option at $75 per user per month, and a Private Deployment option with fixed infrastructure costs plus license, with proof-of-concept engagements starting at $125,000.
The Helix 2.0 white label program allows partners, managed service providers, and system integrators to launch their own branded AI solutions, complete with multi-tenant management, usage-based billing, and rebranding capabilities. HelixML has partnered with Civo, a cloud platform specializing in Kubernetes deployments and GPU-powered infrastructure, to accelerate private AI deployments. This partnership enables users to deploy Helix 2.0 in one click on Civo’s NVIDIA GPU-powered infrastructure via the Helix deployment portal, aiming to simplify infrastructure management.
Mark Boost, CEO of Civo, stated, “We’re excited to partner with HelixML as their preferred GPU provider. Both our companies share a passion for empowering businesses to take control of their AI deployments, and our synergy is clear. Civo’s fast and scalable GPU infrastructure perfectly complements HelixML’s innovative private AI platform, enabling enterprises to deploy AI at scale with speed, security, and sovereignty.”
Helix 2.0 is currently available for enterprise and partner evaluation. Organizations seeking solutions for escalating AI costs, security challenges, or compliance requirements can obtain immediate deployment consultation through HelixML’s website or by contacting sales.
Founded in 2023 by Kubernetes pioneers, HelixML focuses on enabling organizations to maintain control over their AI capabilities and data by facilitating the scalable deployment of open-source models on private infrastructure. HelixML serves companies in financial services, healthcare, and global consulting, providing secure, scalable AI deployments.
