Hybrid AI Infrastructure for Regulated Enterprises.

Don't start from scratch. Leverage battle-tested tools, architecture and insights for hybrid AI platforms that are proved to work in regulated enterprise.

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Tools for ML platform teams — starting with ResearcherHub.

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What We're Building

Sentinel

ML governance for financial AI.

Model versioning, approval workflows, and audit trails that satisfy regulators without slowing down your team.

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ResearcherHub

The missing UI for GPU orchestration.

Self-service portal for ML researchers — job submission, queue visibility, and environment management on top of Run.AI, KAI Scheduler, and Slurm.

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Free Reports

Strategic Architecture RecommendationFree

The On-Premises Enterprise AI Data Layer

A comprehensive guide to building a localized, open-source AI data layer. Covers the strategic rationale for on-premises infrastructure, core architectural principles, and a complete technology stack from OLTP systems through feature stores and governance.

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