Customer team
Define business success
Define use cases, authorized data, business rules and acceptance owners. Involve the people who will use the system.
Goals / authorization / user feedback
Explore enterprise products and AI capabilities built for industry.
Let’s talk about your businessProducts, integrations and partnershipsBring AI into the enterprise.
Automated data-warehouse builder
Automated high-quality datasets
AI appliance for business decisions
Opens in a new tabDedicated offline AI bidding appliance
Connect AI to products and operations.
Explore the interfaces and integration paths for our AI capabilities.
Models, foundational frameworks and the engineering behind AI systems.
Explore collaboration across products, technology and delivery.
Frameworks, tools and examples for developers to understand and reuse.
Updates, technical thinking and industry observations from IDENIFE.
Our focus on education, talent and sharing knowledge.
Solutions & delivery
With our partners, move AI from a promising idea into the systems customers use.
Explore delivery scenariosContext · data · success criteria
A release + evidence + an operational handoff
Build around the scenario
Products are building blocks. A solution connects inputs, work and outcomes. Explore how that connection changes across scenarios.
Start with existing databases, files and business rules. Align entities and definitions, then organize datasets for retrieval, training or metrics.
Source tables, knowledge documents, access rules
How completion is assessedValidate completeness, consistent definitions and access scope against an agreed sample. Trace exceptions and document repeat execution.
A clear implementation path
Every stage has a concrete artifact and a decision point. Make scope, responsibility and completion criteria visible from the start.
Work with business and technical teams to establish users, data and expected outcomes. Translate a broad AI ambition into observable tasks.
Define products, interfaces and deployment boundaries. Use representative samples to design validation; align metrics, quality thresholds and approvals before implementation.
Progress through data integration, capability configuration and system testing. Retain configurations, results and issue records so changes are traceable and failures reproducible.
Equip the operating team with a release, runbook, permissions and issue-handling paths. Agree ongoing service scope, response arrangements and update procedures within the project.
Shared delivery, clear ownership
Let domain experts define the use case, system experts implement the connection, and shared evidence guide acceptance. Agree exact responsibilities in the project scope.
Customer team
Define use cases, authorized data, business rules and acceptance owners. Involve the people who will use the system.
Goals / authorization / user feedbackDelivery partner
Lead requirements work, local integration and implementation coordination. Provide training and handoff, with ongoing service as agreed.
Domain knowledge / implementation / delivery managementIDENIFE
Support solution design within product boundaries, address integration issues, and collaborate on technical validation and release coordination.
Products / technical support / joint validationMake the handoff usable
Connect a release with its data, configuration, validation results and operating knowledge. When something changes, the team knows where to start.
Explore technical integrationProducts, configuration, dependencies and environments
Examples, results, exceptions and sign-offs
Access, monitoring, recovery and upgrades
Owners, support scope and change procedures
The final checklist is agreed for each project.
Start with a concrete project