HelixML’s new 2.0 launch ensures prospects are delivery safe, compliant AI Brokers to manufacturing in simply 8 weeks
HelixML introduced Helix 2.0, a next-generation personal AI platform designed to let enterprises and builders deploy production-ready AI brokers on their very own infrastructure in simply 8 weeks. Helix 2.0 eliminates the complexity, excessive prices, and safety dangers of conventional AI deployments, offering every thing wanted to construct, deploy, and handle highly effective AI options with full knowledge sovereignty and predictable economics.
Helix 2.0 eliminates the complexity, excessive prices, and safety dangers of conventional AI deployments, offering every thing wanted to construct, deploy, and handle highly effective AI options with full knowledge sovereignty and predictable economics.
Presently in manufacturing at various Fortune 500 monetary providers companies, Helix 2.0 slashes deployment occasions from 6-12 months to simply 8 weeks with predictable, mounted licensing and infrastructure charges that cut back prices by as much as 75% when in comparison with public AI platforms. Enterprise-grade testing, model management, and rollback capabilities cut back operational danger by 90% whereas built-in Imaginative and prescient RAG know-how enhances doc processing accuracy by 85%, making certain constancy in complicated monetary, regulatory, and technical paperwork.
Helix’s help for CI/CD platforms and Git-based workflows lets groups use the processes and methods they already know. Since there may be nearly no studying curve, prospects see worth virtually instantly.
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Key Options Embrace:
- Deployment on Personal Infrastructure – Guarantee compliance with rules like GDPR and HIPAA whereas mitigating dangers related to public AI platforms.
- Agentic AI and Enterprise CI/CD – Construct, check, and deploy AI brokers and LLMs with full software program engineering rigor, together with integration with main CI/CD platforms, automated testing, GitOps workflow help, and full rollback capabilities.
- Imaginative and prescient RAG Integration – Course of complicated paperwork, together with monetary statements, regulatory filings, and technical diagrams, with 85% greater accuracy utilizing ColPali-powered visible doc understanding.
- Kubernetes-Native Structure – Effortlessly scale to 1000+ concurrent customers with enterprise-grade reliability and efficiency.
- OpenAI-Suitable APIs – Seamlessly migrate present initiatives with out code adjustments, enabling speedy engagement and nil disruption.
- Enterprise-Grade Authentication – Combine with Okta, Auth0, and Lively Listing for sturdy, acquainted safety.
“HelixML’s launch of Helix 2.0 represents a pivotal shift in enterprise AI adoption, transferring from experimentation to safe, production-ready deployment in file time. In keeping with theCUBE Analysis, 68% of enterprises are piloting or deploying AI brokers, however many face 6-12 month ramp-up timelines and spiraling infrastructure prices,” stated Paul Nashawaty, Principal Analyst, theCUBE Analysis. “Helix 2.0 condenses that timeline to simply eight weeks, providing as much as 75% value financial savings and an 85% enchancment in doc processing accuracy. For extremely regulated sectors like monetary providers, this stage of integration, knowledge sovereignty, and CI/CD compatibility is not a aggressive benefit; it’s a enterprise crucial.”
The way it Works
Helix 2.0 provisions safe, personal infrastructure and deploys pre-configured open-source fashions and agent templates as the inspiration for every new undertaking. Its clever orchestration engine dynamically allocates sources and optimizes mannequin choice based mostly on workload necessities. AI brokers are outlined as modular YAML configurations, versioned and managed by means of Git for full traceability and rollback. Native integration with enterprise DevOps pipelines helps automated testing, CI/CD workflows, and GitOps practices and allows fast, auditable deployment of AI brokers at scale. Built-in Imaginative and prescient RAG know-how leverages superior visible doc understanding to course of complicated, multi-modal recordsdata with excessive constancy, making certain correct extraction and evaluation throughout numerous enterprise knowledge varieties.
“As somebody who’s spent years constructing and deploying AI in the actual world, I do know that velocity, management, and belief aren’t simply nice-to-haves, they’re mission-critical,” stated Luke Marsden, CEO, HelixML. “With Helix 2.0, we’re not simply fixing as we speak’s enterprise AI challenges, we’re charting a brand new course for builders and enterprises, one the place organizations can transfer quick, keep safe, and really personal their AI future.”
Predictable, Clear Pricing
Helix 2.0 provides versatile deployment choices that remove recurring API charges and cut back AI mannequin inference prices. It provides a simple, enterprise-friendly pricing mode with a selection of two choices:
- Hosted Platform – $75/person/month
- Personal Deployment – Fastened infrastructure prices plus license, with proof-of-concept engagements beginning at $125,000+
White Label Program
The Helix 2.0 white label program lets companions, managed service suppliers and system integrators launch their very own branded AI options – full with multi-tenant administration, usage-based billing, and full rebranding capabilities – into this $2B+ market, with 30% margins.
To speed up personal AI deployments, HelixML has partnered with Civo, the cloud platform famend for its blazing-fast Kubernetes deployments and GPU-powered infrastructure. The partnership allows customers to deploy Helix 2.0 in a single click on on Civo’s NVIDIA GPU-powered infrastructure by means of the Helix deployment portal (deploy.helix.ml), eliminating infrastructure complexity.
“We’re excited to associate with HelixML as their most popular GPU supplier,” stated Mark Enhance, CEO, Civo. “Each our corporations share a ardour for empowering companies to take management of their AI deployments, and our synergy is obvious. Civo’s quick and scalable GPU infrastructure completely enhances HelixML’s modern personal AI platform, enabling enterprises to deploy AI at scale with velocity, safety, and sovereignty.”
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