Models
Catalog providers, families, versions, modalities, licenses, evaluation state, and permitted environments.
Capacitas product
AI Platform
Host, route, evaluate, and operate models and agents across qualified commercial, government, sovereign, and edge environments.
Overview
AI Platform connects intent to execution.
The AI architecture connects model choice and execution to environment, data, identity, policy, performance, and evidence requirements.
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Capabilities
A governed product record, not a blanket promise.
Inference and routing
Match requests to approved models and capacity using policy, latency, availability, cost, and fallback rules.
Agents and knowledge
Connect agents to approved tools, retrieval sources, permissions, provenance, workflows, and human decisions.
Evaluation and operations
Track quality, safety, latency, reliability, cost, drift, incidents, and release evidence.
How it works
Four steps from requirement to receipt.
Define
Capture workload, customer, data, environment, performance, and evidence constraints.
Qualify
Evaluate compatible capacity, dependencies, controls, and operating state.
Execute
Run only within the approved service and local operating envelope.
Reconcile
Preserve usage, decision, evidence, incident, and outcome records.
Use cases
Designed around eligible work.
Use case
Government AI
Configure models and AI services according to the exact environment, data, mission, and authorization record.
ExploreUse case
Distributed inference
Place separate requests or complete inference jobs across compatible federated capacity.
ExploreUse case
Edge AI
Operate qualified models locally with explicit update, synchronization, and evidence rules.
ExploreNext step
Evaluate AI Platform
Map the product to the workload, environment, site, data, identity, evidence, and operating model.
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