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Helix 2.0 can deploy GenAI on private infrastructure, ensuring compliance with regulations like GDPR and HIPAA while mitigating risks associated with public AI platforms; slashing deployment times from 6-12 months to just 8 weeks

August 4, 2025 //  by Finnovate

Helix announced Helix 2.0, a next-generation private AI platform, eliminates the complexity, high costs, and security risks of traditional AI deployments, providing everything needed to build, deploy, and manage powerful AI solutions with complete data sovereignty and predictable economics.  Helix 2.0 slashes deployment times from 6-12 months to just 8 weeks with predictable, fixed licensing and infrastructure fees that reduce costs by up to 75% when compared to public AI platforms. Enterprise-grade testing, version control, and rollback capabilities reduce operational risk by 90% while integrated Vision RAG technology enhances document processing accuracy by 85%, ensuring fidelity in complex financial, regulatory, and technical documents. Its intelligent orchestration engine dynamically allocates resources and optimizes model selection based on workload requirements. Native integration with enterprise DevOps pipelines supports automated testing, CI/CD workflows, and GitOps practices and enables rapid, auditable deployment of AI agents at scale. Integrated Vision RAG technology leverages advanced visual document understanding to process complex, multi-modal files with high fidelity, ensuring accurate extraction and analysis across diverse enterprise data types. Key Features Include: Deployment on Private Infrastructure – Ensure compliance with regulations like GDPR and HIPAA while mitigating risks associated with public AI platforms. Agentic AI and Enterprise CI/CD – Build, test, and deploy AI agents and LLMs with full software engineering rigor, including integration with leading CI/CD platforms, automated testing, GitOps workflow support, and full rollback capabilities. Vision RAG Integration – Process complex documents, including financial statements, regulatory filings, and technical diagrams, with 85% higher accuracy using ColPali-powered visual document understanding. Kubernetes-Native Architecture – Effortlessly scale to 1000+ concurrent users with enterprise-grade reliability and performance. OpenAI-Compatible APIs – Seamlessly migrate existing projects without code changes, enabling immediate engagement and zero disruption. Enterprise-Grade Authentication – Integrate with Okta, Auth0, and Active Directory for robust, familiar security.

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Category: AI & Machine Economy, Innovation Topics

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