STEAV CID · Centralized Intelligence Delivery

From your data to your digital factory.

One platform for the whole life of a model: build it, test it, run it, tune it, and keep all of it. Orchestra puts it to work across your enterprise.

Book a demo
Model registrylocal mesh · 6 modelsLocal
Models
deepseek-v4-flash
glm-5.2
kimi-k3
gemma-3-12b
clinical-notes-rag
fraud-detect-fed
Registry
Model registrySERVING
deepseek-v4-flash
VERSION4.0.1STAGEproductionDEVICEdgx-spark-01
Model registrySERVING
glm-5.2
VERSION5.2.0STAGEproductionDEVICEbyoc-b200 ×2
Model registrySTANDBY
kimi-k3
VERSION3.0.0STAGEstagingDEVICEbyoc-b200 ×12
Model registrySTANDBY
gemma-3-12b
VERSION1.0.2STAGEstagingDEVICErtx-5070-01
Model registryLOCAL
clinical-notes-rag
VERSION0.9.3STAGEdevelopmentDEVICEcpu-pool-02
Model registryLOCAL
fraud-detect-fed
VERSION3.2.0STAGEarchivedDEVICE
Sovereignty
HASHc3a1…8e07
RESIDENCYfail-closed
EGRESSallowlist only
RAGpgvector
SERVINGhardware you designate

Start from an open model. Make it yours.

Bring any data: documents, records, images. Model Studio prepares the recipe and trains the model on it. You get a model specialized for your domain that belongs only to you.

Train on your most private data without moving it.

Encrypted, federated training for your most sensitive data: each site trains in place, and only model updates move. Centralized training for everything else.

Test before you deploy.

You define your safety requirements and guardrails. A model can't be released until it passes your test suites, and any tampering is evident.

Run it your way.

Self-hosted.

CID runs entirely on your hardware or in your cloud account. Data and compute stay with you.

Air-gapped serving.

Run the full AI inference stack with zero egress inside an isolated environment.

Hybrid.

Sensitive work stays in your environment. STEAV-operated capacity handles the rest.

STEAV-hosted.

We run the infrastructure for you, so your team gets the capability without the operational load.

Keep improving.

Retrain as your data changes. When a better base model comes out, move to it without rebuilding what you've already made.

See the history.

Every model keeps a record of the data, steps, and checks behind it. When someone asks how it was built, the answer is already there.

Manage everything from one place.

Orchestra turns your models into agents that automate workflows across your organization. Models, tools, and agents sit under one dashboard, with the approvals and access rules you set.

Seven pipeline stages: data preparation, training, aggregation, evaluation, benchmarking, validation, deployment. Each stage signs what it did into one record.

Deploy on-prem, air-gapped, or in a region-pinned sovereign cloud with customer-controlled keys.

Drive pipelines from the terminal (CLI) or from an IDE (Golang/Python SDKs) and agent workflows (MCP server).

Also from STEAV

Amplify (coming soon).

Image and video models, built and run inside your own workflows.

Monolith (coming soon).

The map of your entire business, drawn from raw data, that your models learn from and your agents navigate by.

Services.

Data, evaluation, and testing, done by our team when you want them.

See it with your own data.

Book a demo