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Technology

One architecture, eight capabilities.

How our building blocks fit together, from your data to production.

01ApplicationsClinical imaging and reportingHealthcareResearch and advisoryFinancial servicesSimulation and autonomyFrontier systems02AgentsAgentic AI and orchestrationGoal-driven agents, routed across models and tools, with human handoverPlannerTool useMulti-agentModel routingFallbacksHuman handover03ModelsWorld modelsSimulate and forecastMultimodal AIImages, text and signalsKnowledge systemsRetrieval with citations04DataYour data, in placeImaging and signalsClinical recordsMarket and client dataDocumentsSafety andevaluationAcross every layerBenchmarksGuardrailsRed-teamingAudit logsDrift monitoringAI engineering, deployment and MLOpsThe layer that keeps it runningAPIs and integrationPrivate cloudOn-premisesSovereign cloudObservabilityRetrainingCost and latency
01

World Models

Predict how a system responds to decisions.

02

Multimodal AI

Reason across images, text and signals.

03

Knowledge Systems

Ground answers in your own sources, with citations.

04

Agentic AI

Plan, use tools and hand over to people.

05

AI Orchestration

Route work across models, tools and agents, with fallbacks and cost control.

06

AI Engineering

Turn models into services: APIs, integration, latency and reliability.

07

Safety & Evaluation

Measure accuracy, robustness and risk at every layer.

08

Deployment / MLOps

Run, monitor and improve models inside your perimeter.

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