Deployment and integration: one accountable partner
API-first integration with enterprise data and systems, deployed in the cloud, privately or in hybrid environments — and operated as a managed service.
Evaluate → integrate → deploy → govern → operate
Evaluate
Select suitable open models, review licences and assess capability, cost and safety before production.
Integrate
Connect to enterprise data, APIs and tools with identity, access and clear data separation.
Deploy
Cloud, private or hybrid deployment where the data needs to live, using reference architectures.
Govern
Provenance, audit logging, human oversight and a model licence and standards register.
Operate
Monitoring, support, incident handling and continuous improvement as a managed service.
Data and IP, handled properly
- Each party keeps existing IP; new data, derived results and joint work are assigned by specific agreement.
- Customer data is not a platform asset because it is processed.
- Escalation and review where full autonomy is inappropriate or unsafe.
- Standardised interfaces: APIs, data dictionaries and unified identifiers.
Where it is used
- Private AI assistants on internal knowledge
- Integrating agents with ERP, WMS and CRM systems
- Hybrid deployment for regulated data
- APIs for partners and developers
Boundaries
- Deployment options depend on model licences and customer infrastructure.
- Developer and API documentation is shared with partners on request.
Deployment & API — common questions
What is the difference between open-source, open-weight and source-available AI?
Open-source AI grants the freedom to use, study, modify and share, including the preferred form for modification. Open-weight models publish weights but may restrict terms, data or modification. Source-available systems can be viewed or used only under specific conditions that may limit commercial use.
Is open-source AI always cheaper or safer?
No. DNY does not claim that open models are free of licensing or IP risk, or always cheaper or safer than proprietary ones. Every model is evaluated and licence-checked before production use.
Is DNY tied to one model or cloud provider?
No. The infrastructure is multi-model, multi-cloud and vendor-neutral by design, to avoid structural dependency on a single model, cloud or hardware supplier.