HelixML on Thursday announced Helix 2.0, a next-generation private artificial intelligence (AI) platform designed to let enterprises and developers deploy production-ready AI agents on their own infrastructure in just eight weeks vs. the normally laborious six months to a year.
The update is designed to eliminate complexity, high costs, and security risks often associated with traditional AI deployments, providing everything needed to build, deploy, and manage AI solutions with complete data sovereignty and predictable economics, according to HelixML.
“We’ve done a lot of heavy lifting for (entrepreneurs and developers)… with a soup-to-nuts turnkey solution,” HelixML CEO Luke Marsden said in an interview.
“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,” Marsden said. “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.”
The new approach offers predictable, fixed licensing and infrastructure fees that reduce costs as much as 75% compared with public AI platforms, Marsden claims. A hosted platform costs $75 per user per month. Fixed infrastructure costs plus license, with proof-of-concept engagements, start at $125,000.
Currently in production at several Fortune 500 financial services firms, Helix 2.0’s enterprise-grade testing, version control, and rollback capabilities reduce operational risk by 90%. Its integrated Vision RAG technology enhances document processing accuracy by 85% to ensure fidelity in complex financial, regulatory, and technical documents, the company said.
Rapid expansion of the $4.2 billion private AI infrastructure market has unlocked unprecedented innovation and allowed enterprises to “reimagine what’s possible with AI, but it also exposes organizations to spiraling costs and complex security challenges,” said Paul Nashawaty, principal analyst at theCUBE Research.
“The ability to truly own and control your AI platform, rather than relying on unpredictable, third-party services, is becoming a key competitive differentiator and a strategic imperative,” Nashawaty said. “Solutions like HelixML are providing clear value by empowering companies to achieve both agility and sovereignty in their AI deployments.”
