AI infrastructure investment research
Track capacity conversion, bottlenecks, supplier exposure, and market transmission paths across the AI infrastructure buildout.
Salience Path / Watchtower
Salience Path builds vertical intelligence systems that help organizations detect meaningful change before it becomes consensus.
Follow the modelThe model
Source → synthesis → decision
Noisy source streams to evidence-backed decision points.
Input
Model
Salience Path
Surface developments that matter to a specific business need or investment thesis.
A separate outcome from synthesis
Output · selected changes
Meaningful change, its relevance, and the supporting source documents.
For analyst review
Not automated decisions
Complex sources. Specific relevance. We analyze complex information networks — regulatory filings, permits, procurement contracts, utility dockets, technical documents, public records, and market data — to surface the developments that matter to a specific business need or investment thesis.
Analyst output
A compact decision point with the evidence needed to evaluate it.
The system recommends attention; the analyst keeps judgment. Salience Path informs decisions; it does not make them.
Current use
Examples of vertical intelligence systems, not the limits of the model.
Track capacity conversion, bottlenecks, supplier exposure, and market transmission paths across the AI infrastructure buildout.
Monitor permits, utility dockets, interconnection issues, local proceedings, and public records that change project timing or feasibility.
Follow export controls, licensing actions, sovereign compute programs, and supply-chain restrictions that change access to advanced compute.