The same substrate /
for every regulated AI.

Yolo’s four-rail infrastructure — identity, reputation, proof, and settlement — serves eighteen customer segments across two architectural sides. Side A: agent commerce. Side B: decisional logging for AI that makes consequential decisions without generating direct revenue. Plus two long-term watch segments in Tier 4. Multinational deployment is horizontal across all verticals — the same audit chain produces the record-keeping evidence every jurisdiction’s rules require.

Regulatory pull active now. Decision-maker awareness. Clear revenue path. Reachable buyer.

Real demand and material revenue. Procurement cycles longer or regulatory mandates pending rather than active.

Genuine need and some regulatory pull. Lower immediate revenue or price-sensitive buyer profile.

Two additional segments — voting systems and election integrity, and military and defense AI — represent genuine long-term opportunities with 10–20 year horizons.

Voting Systems and Election Integrity: AI is entering election administration (signature matching, voter roll maintenance, ballot adjudication) but procurement to embed audit infrastructure at scale is a 10–20 year horizon. Election machine refresh cycles are decade-scale; embedded audit infrastructure procurement follows the same timeline.

Military and Defense AI: Classified workloads (TS/SCI, IL5/IL6) require deployment models incompatible with public-chain anchoring. Future engagement likely requires a private-chain variant or DIB prime partnerships (Lockheed, Northrop, Raytheon, BAE, L3Harris). 10–20 year horizon.

Quantum-era cryptographic migration is addressed as an architectural risk disclosure in /methodology — it is a technology threat horizon affecting every segment, not a customer segment in its own right.