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IDENIFE · Model & capability APIs
Made for products. Built to connect.Turn model intelligence into product capability.
From visual concepts to 3D assets, from data understanding to business reasoning. Integrate IDENIFE models into your tools, platforms and industry systems.
Explore capabilitiesIntelligence inside your experience
Your customers stay in your system and work with familiar tools. Generation, understanding and reasoning become native parts of an existing workflow.
IDENIFE supplies the model and capability layer. You retain control of interaction, project management, data access and delivery. Reuse specialist intelligence while keeping your product identity.
Capability catalogue
HuanYu design generation
Built around industrial design data and semantics, HuanYu connects product intent, functional layout and CMF requirements to visual concepts for exploration, proposals and iterative discussion.
HuanYu image-to-3D
Turn product imagery into 3D assets as a starting point for form development and editing. Visual reconstruction, surface representation and part-level research connect concepts to 3D workflows.
Structured data & business reasoning
Organise field semantics, metric definitions and evidence around a concrete business question. Structured results connect data platforms and downstream decisions to understandable data.
Start with a question
“Which products deserve more investment?”
From request to result
Useful generation begins before a result arrives. Clear inputs, explicit state and correlated outputs help your application decide what happens next.
Turn product context, task goals and input conditions into a structured request.
Validate the request and access, then establish a task ID. Acceptance is distinct from completion.
Update the interface from task state. Handle waiting, failure and cancellation explicitly.
Associate outputs with their context and move them into review, editing, analysis or delivery.
Engineering the integration
A professional integration considers access, tasks, versions and observability together.
Keep credentials server-side and define access by project and purpose. Design input permissions and output ownership as part of the integration.
Use asynchronous tasks for image and 3D generation. Separate acceptance, queuing, execution and completion; manage polling, timeouts and result retention in the application.
Manage model and interface changes separately. Pin the integration contract and evaluate representative tasks before adopting changes to outputs or behaviour.
Correlate inputs, states, outputs and errors with a task identifier. Connect more complex flows to ID Axis execution records and the originating project.
Integration architecture reference. Capabilities, authentication, quotas and delivery specifications are agreed by project and interface version.
Three integration layers
Your application controls the workflow; the model performs generation or reasoning. A direct way to add a specialist capability.
Describe tools, resources and prompts through a common protocol so MCP-compatible systems can discover and use them.
Manage context, tool execution, state and checkpoints to connect model reasoning with longer-running workflows.
Start with a clear business goal