Carnegie AI PlatformConcept by The PRR Group
Live demonstrations

The same four steps for every use case

We took the seven use cases you gave us, matched each to work we already run for existing customers, and built a working demo on mock data. Every one follows the same play: we have done it before, here is what we need from you, here is how we build it, and here is how fast it goes live. See it work, tell us what to change, and we move to the next.

Runs where your team already works: In Microsoft Teams On your platform Single pane of glass
01Concur receipts02Library research03Contact / CRM04China AI KMS05QC monitor06Event logistics07Ask Andy
Use case 04

China AI Initiative knowledge management system

Per our call, this is a continuously updating knowledge management system, not a static tracker. Background agents pull the China Program's bespoke sources, extract and structure them, and keep the research team's knowledge base current. The map is one view into it.

Our play for this Sources and storage connector, out of the box
1We have done this
R1 research and federal
We built TIPSTR, a multi-source knowledge graph, with USF's Risk-to-Resilience Lab.
See our track record
2What we need from you
  • The sources and languages to monitor
  • A destination database or workspace
3How we implement
  • Stand up source monitoring and extraction
  • Map to how the China Program tracks initiatives
  • Have an analyst confirm the first batch
4Live on your data
about 3 weeks
Then we validate together and move to the next use case.
ArchitecturePublic sourcesMonitor + extract agentAnalyst verifiesTracker + map
See it working, with mock data
Initiatives
0
tracked
Verified
0
analyst-confirmed
Categories
6
policy to funding
Provinces
0
geo-mapped
Geographic view
PRC · province centroids
Policy Compute Model Talent Standards Funding
0 initiatives