Forward-deployed engineering
Connect data access, application interfaces, governance controls, and workflow logic inside the customer environment.
Deployment
Decision intelligence succeeds in production.
eomer connects model outputs to enterprise data, review controls, and operating workflows through a deployment path that matches each infrastructure boundary.
Discuss deploymentEmbedded delivery
Deployment teams work within the target environment.
Forward-deployed engineers connect data and workflows, while data scientists define evaluation criteria, uncertainty checks, and decision rules with the responsible domain team.
Applied data science
Define baselines, backtests, uncertainty thresholds, and acceptance criteria for each production decision.
Transfer path
From the first workload to routine team ownership.
Phase 01
Define the production workload
Connect representative data, define the decision horizon, and agree on evaluation criteria before production access begins.
Phase 02
Integrate and validate
Place model calls, uncertainty outputs, review rules, and system interfaces inside the target workflow.
Phase 03
Transfer routine operation
Document controls, train the responsible team, and retain support for model updates and production exceptions.
Infrastructure options
Deploy within the required infrastructure boundary.
Managed multi-tenant
Use the managed eomer service with organization access controls and isolated application data.
Dedicated single-tenant
Run a dedicated environment with deployment controls that match the target workload.
Customer cloud
Deploy inside a customer cloud or private VPC, with customer-defined network and access policies.
On-premise
Run within an on-premise or confidential-compute boundary when data policy requires local control.