Interoperable. Automated. Agentic.
The Enterprise AI Command Center is powered by ModelOp's AI Delivery Engine (MADE™) — the proprietary engine that accelerates enterprise AI delivery from idea to production and beyond through integrations across the entire enterprise technology stack, workflow automation, and a framework for plugging agents into the end-to-end AI lifecycle.
Every Command Center needs an Engine.
MADE enables enterprises to compress AI delivery from months to days while ensuring 100% policy adherence. Customers and systems integrators can plug their own agents into MADE to scale and accelerate enterprise AI delivery without adding headcount.
One vendor-agnostic operating layer to systematize AI delivery across the enterprise.
Integrations unify your existing AI stack — on-prem, cloud, or hybrid — across the entire end-to-end AI lifecycle into one operating layer above your MLOps, security, data, GRC, and ITSM systems.
- Syncs every model registry: MLflow, Bedrock, SageMaker, Azure ML, Vertex AI — kept in sync as one inventory.
- Connects dev, data, security, architecture & ops: 50+ out-of-the-box integrations. No rip-and-replace of the systems your teams already run.
- Deploys in your environment: On-prem, cloud or hybrid — no data movement, no residency violations, no copy of regulated data.
One workflow engine that unifies every stakeholder team.
The engine powers every stakeholder team — IT, business, AI, and governance — driving AI from idea to production with policy enforced by design.
- Automates the AI lifecycle, end to end: From idea to production to business value — one auditable trail, no swivel-chair handoffs.
- Orchestrates every process & team: Data Science, Security, Architecture, Legal, Risk, Compliance, Production Support — in one engine.
- Self-service collaboration: Role-based workflows enforce the enterprise standard — without slowing down the business.
A framework for plugging agents into the AI lifecycle.
Plug customer, partner, and ModelOp agents into the end-to-end AI lifecycle workflows — guided by policy to scale delivery 10X without adding headcount.
- Accelerate the common tasks: Intake, assessment completion, documentation, testing, evidence collection, and reporting — generated by workflow-directed agents.
- Instant operational insights: Natural-language queries give CIOs, CTOs, and AI leaders instant intelligence on portfolio health.
- Controllable by design: Workflow-directed agents follow guardrails — and customers and SIs bring their own agents into the same controls.
MADE integrates vertically & horizontally.
MADE integrates vertically with customers and partners — including systems integrators— and horizontally across every step of the AI lifecycle. The result: a framework where approved agents can safely accelerate operations while ModelOp workflows keep them inside policy at every step. MADE's pluggable framework enables agentic-powered AI lifecycle workflows — distinct from generic agentic platforms or ITSM workflow tools.
Extensible
Multiple, customizable workflows for the real variety of paths to production — not one rigid pipeline.
Interoperable
Integrates vertically with service partners and horizontally across every step of the AI lifecycle.
Semi-autonomous
Agents are directed by the workflow — processes and policies are followed at every step.
Pluggable
Customers and partners — including SIs — develop and integrate their own agents.
BYOFM
Bring Your Own Foundation Model. Leverage approved models — no lock-in to one provider.
Frequently asked.
Quick answers for AI, platform, and integration leaders evaluating the AI Delivery Engine.
Start the AI Delivery Engine.
See MADE inside the Enterprise AI Command Center. We'll walk through your stack, the agents you (or your partners) want to plug in, and a path to industrialized AI delivery.
