The model-agnostic control plane for governed AI operations

The platform unifies intelligent model routing, runtime policy enforcement, and event-level observability, so every AI interaction is visible and governed.

Dimensional map of the Holokai control plane connecting workforce, applications, agents, tools, data, and model environments

One operating layer for the enterprise AI lifecycle

Employee workspace with approved model access, a policy checkpoint, and an evidence trail

Employee AI Workspace

Give every employee one approved desktop for AI, with persistent context that carries across sessions and enterprise policy applied to every prompt, tool call and agent. Real work gets done in collaboration with teammates leveraging the most appropriate models, useful AI workflows, and full visibility into business impact.

Model requests routed through a central decision point to approved environments

Model Gateway & Routing

One access, translation and routing layer for every model your teams use: third-party frontier models, on-premise private models, open source, and models at the edge. Add or swap models through a single standard API, without impacting employee experiences, refactoring agentic workflows or changes to policy enforcement.

Sensitive data intercepted at a runtime policy gate before a request continues

Distributed Policy Enforcement

Define enterprise policy once and enforce it in the request itself, across users, agents, and tools. Sensitive IP, PII, and regulated data are caught before ever leaving the enterprise. Allow work to continue with obfuscation and routing to private or on-premise models when policy requires it.

An agent connecting to tools through permissions, evaluation, and human approval

Agentic Workflow Orchestration

Turn natural-language goals into governed, deterministic workflows that run the same way every time, with full enterprise context and humans-in-the-loop as required. Every agent and connected tool has an owner, enforced policy at each step, and an immutable audit record.

AI application code moving through evaluation, runtime policy, deployment, and observation

Model Sandbox & Evaluation

Test and evaluate models side-by-side by replaying your organization's real prompts, agents, and workloads against new versions or providers. Capture detailed evaluation of performance, cost, and quality of responses before easily adding or switching models to avoid strategic vendor lock-in.

AI events resolving into evidence for cost, risk, adoption, operations, and business value

Observability, Cost & Attribution

Every AI interaction becomes a structured, immutable record: what user initiated a request, what data was accessed, what policy applied, what the agent did at every step, and why. Capture that evidence for insights into adoption, performance, and cost, attributable by team, agent, and use case.

Platform Structure

Holokai platform architecture: employees and agents on the Holokai Desktop flow through the governance engine, agentic workflow engine, enterprise resources, and model gateway to third-party and private models, alongside an admin control console

Flexible Deployment Options

Managed cloud deployment icon

Managed Cloud

Use Holokai as SaaS with AWS Bedrock and similar managed platforms or direct flagship model APIs for fast rollout.

Private and hybrid deployment icon

Private & Hybrid

Connect private-cloud, third-party, and open-source models while keeping enterprise policy and routing consistent.

On-premises, air-gapped, and edge deployment icon

On-Prem, Air-Gapped & Edge

Run in controlled environments and govern models deployed on premises, at the edge, or on employee laptops.

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Navigate enterprise AI with confidence and accountability

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