An applied AI lab in partnership with RISE, helping asset-heavy companies turn the digital twins and systems they already run into standards-backed, auditable apps. We take one high-stakes use case, connect the systems and standards behind it, build the ontology, and run deterministic checks. You get an app an engineer, operator, or regulator can trust, in weeks.
We do not start with a platform and a long integration project. We start with a single use case that matters, and we prove it on real data.
We pick one problem a team feels every week, scoped to your region, your regulations, and the systems already in place. The goal is a working result, not a workshop.
Wiring an agent to your tools is not the answer. We reconcile your systems onto one ontology and a governed knowledge graph, so the same asset means the same thing everywhere.
Every answer is tied to the code or standard that governs it. Results are deterministic and cited, conflicts are flagged, and a person stays in the loop on anything unclear.
The bar is a real change in how fast the work gets done. What took days should take minutes, with a trail you can audit.
Two ways we have put the lab to work, both grounded in your standards and already running.
Ask a clearance or compliance question and get a cited, reproducible answer, with conflicts escalated to a person and a full audit trail.
Plan and validate a greenfield site before you commit capital, then check field work orders against the standards once you are operating. Every decision is deterministic, cited, and auditable.
A deeper architecture note on how digital twins become standards-backed, auditable AI-agent workflows.
Bring us one use case and we will partner with you to ship it, grounded in your standards, in weeks.