Federal

AI Built for Federal Standards—Secure, Scalable, Sovereign.

Air-Gapped-Ready

Deploy and Scale secure AI for Federal missions

Zero External Dependence

No data leaves the network, and there is no third-party access.

Sovereign Control

Full ownership of models, infrastructure, telemetry and data.

Portable Runtime

Same stack, consistent execution everywhere.

Every Environment Covered

On-prem, edge, cloud, or air-gapped.

Cloud Independence

Freedom to deploy without reliance on a single provider.

Mission-Grade Compliance

Meets Data privacy and residency mandates.

Auditable Operations

Transparent observability for monitoring and reporting.

Data Integrity First

Models execute without exposing sensitive data.

CPU-Powered AI

No need for GPUs, runs on existing infrastructure.

Predictable Costs

Scale without budget overruns.

Low-Latency Inference

Works Optimised for time-sensitive missions..

Frequently Asked Questions

Can Kompact AI be deployed in air-gapped environments?

Yes, Kompact AI can be deployed in an air-gapped environment.

Can Kompact AI be deployed in private or on-prem cloud setups?

Yes. Kompact AI supports deployment in private or on-prem setups.

Can Kompact AI be deployed on edge devices such as mobile phones, tablets, desktops and laptops?

Yes. Kompact AI can run on standard edge devices for local inference

Can Kompact AI be deployed in public cloud setups?

Yes. Kompact AI is cloud-agnostic and can be deployed, for example, on Google Cloud, AWS, and Microsoft Azure.

Which AI models are currently optimised to run on CPUs

Kompact AI supports several open and enterprise-grade models — including Qwen, Llama, Phi, and DeepSeek.
(For the complete list, please refer: https://www.ziroh.com/model-listing )

The model we use isn’t on your list — how can we get it optimised?

If your model isn’t listed, we look forward to collaborating to optimise it for CPUs. Please schedule a call with our team to discuss your model and use case so we can begin provisioning a CPU-optimised version.

We have our own model. Can we collaborate to optimise it for the CPU?

Yes. We work with organisations to optimise proprietary or custom models for CPU inference. Please book a slot to discuss this further.

Do we need to share the model's IP with Kompact AI for optimising our proprietary model?

No. Your model’s IP and weights remain entirely yours. We provide the Kompact AI SDK, which includes all the components required to wire up a model. Your developers or partners can use the SDK to wire up your model.

How do AI applications interact with Kompact AI-optimised models running on a CPU?

We provision OpenAI-compatible APIs for AI applications to interact with Models, allowing easy integration with minimal or no code changes.

What kind of performance improvements can we expect on CPUs?

Kompact AI delivers performance equivalent to that of a GPU with lower latency, higher throughput, and predictable costs for most enterprise workloads.

How does Kompact AI handle data privacy and compliance for enterprise workloads?

Kompact AI does not host any model for inference. We provide you with the software to host any AI model* at your preferred cloud vendor or on-prem. As a result, we do not have access to the inputs the model is processing or the outputs it produces.

How can we start a trial or proof of concept with Kompact AI?

Please contact our team to request a trial. We’ll provision the runtime and guide your technical team through setup and evaluation.

Can it be deployed on existing federal infrastructure without GPUs?

Yes. Kompact AI is designed to run efficiently on existing CPU infrastructure — no GPUs are needed.

Is Kompact AI auditable for monitoring and reporting?

Yes. Kompact AI includes built-in observability for usage tracking, performance metrics, and audit reporting.

Does Kompact AI scale to millions of users?

Yes. Kompact AI scales horizontally across CPU clusters to support large-scale workloads and concurrent user demand.