Development context
A research direction for proof-backed AI capacity.
DCII is a project framing for exploring constrained AI infrastructure. It is not a published customer deployment, funded award, commercial partnership, or proven capacity result.
Begin with a bounded capacity decision
The current offer is a scoped historical-data assessment. Any research collaboration, site evaluation, live Shadow Mode work, or operational pilot requires a separate agreement and readiness review.
Evidence before broader claims
The public material is synthetic. Authorized site evaluation and customer decision acceptance must be identified with their own scope, evidence, permission, and reviewer; neither can be inferred from the sample.
Related operator resources
Continue the proof path
- A control-plane direction, with evidence before authority.Explore the intended virtual capacity control-plane architecture, its evidence and authority boundaries, and the current bounded assessment offer.
- Evidence informs a decision. Authority stays explicit.See how Shadow Mode, replay, allow / repair / reject decisions, audit logs, and proof packs establish evidence before bounded autonomy.
- Tell us where capacity is constrained.Start a scoping conversation about a bounded capacity assessment, input readiness, deliverables, decision responsibilities, or a partner investigation.
Proof before autonomy
Start with one capacity question.
Agree the decision, evidence boundary, responsibilities, and paid scope before work begins.