Run AI inside your own walls.
Everything you need to run AI inside your own walls, and nothing that requires you to send your data outside them. KinHelm is a complete Private AI platform: governance, infrastructure management, training, data management, a consumer interface, a build interface, and 600+ pre-built agents. Deployed on your infrastructure. Governed by your policies. Owned by you.
Two options. Both bad.
The AI market is bifurcated, and both sides of the split ask you to give up something you should not give up.
Rent from hyperscalers
Cede your data, your policies, and your operational intelligence to vendors whose risk calculus isn't yours. Every prompt teaches someone else's system; every policy is a configuration request, not a decision you own.
Build it yourself
Spend millions, hire talent that doesn't exist, and hope it works. Assemble governance, infrastructure, training, interfaces, and agents from scratch while the market moves underneath you.
Own it. A complete Private AI platform that ships with everything the build path would take years to assemble, running where the rent path would never let it run: on your infrastructure, under your policies, as your property.
Seven components. One platform.
| Layer | Product | Function |
|---|---|---|
| Governance | WALDO | AI policy enforcement, compliance, data classification, audit trail |
| Infrastructure | IRONSIGHT | AI operations management, deployment, monitoring, security |
| Consumer interface | MORI | End-user AI assistant, the face of the platform |
| Build interface | STUDIO | Agent development, customization, workflow orchestration |
| Training | MENTOR | Adaptive, mastery-gated learning from any source material, knowledge management |
| Data management | ALEXANDRIA | Data classification, sovereignty, lifecycle, cataloging |
| Pre-built agents | 600+ | Security, HR, Facilities, Finance/Legal, IT Ops, DevOps, Sales, Privacy, and more |
What "owned by you" means, concretely.
Your data stays home
Every prompt, document, model, and log lives on infrastructure you control: on-premises, private cloud, or air-gapped. Nothing in the platform requires an external call.
Your policies, enforced
WALDO enforces the rules your organization writes. Policy is not a support ticket to a vendor; it is configuration you own and audit.
Your models, your weights
Models are served, versioned, and tuned on your hardware through Ironsight. Weights, checkpoints, and knowledge bases are assets on your books, not features of someone's subscription.
Your operational intelligence, kept
What your organization learns by using AI, the prompts, the workflows, the tuned agents, accrues to you rather than training a vendor's next model.
No exit penalty
Everything is exportable and self-hosted from day one. There is no migration cliff, because there is nothing to migrate away from.
Provable control
Complete audit trail from data classification through model output. When an assessor asks how AI is controlled, the answer is a record, not a narrative.
See the platform running on hardware like yours.
A technical briefing covers architecture, deployment models, and a live walkthrough of the stack.