Pilot design

Commercial-first distributed AI pilots for global regional corridors.

Start with secure sites where power, cooling, bandwidth, access control, data residency, and maintenance are easier than residential deployment. Tanzania and East Africa can remain a strong first corridor, while the platform is designed for global replication.

01

Select 3–5 controlled sites

Telecom tower, bank branch, university lab, solar mini-grid, or hospital with secure space and stable connectivity.

02

Install node telemetry

Start with software agents that report power draw, uptime, GPU utilization, temperature, latency, and incident state.

03

Launch paid APIs

Focus on multilingual voice, document AI, agriculture advisory RAG, cybersecurity event triage, tourism concierge, enterprise support, and regional compliance workloads.

04

Prove unit economics

Measure GPU utilization, revenue per kW, site-owner share, maintenance cost, and SLA performance.

05

Package expansion model

Convert the best-performing site pattern into a repeatable global corridor model for telcos, energy partners, enterprise campuses, data-center operators, and sovereign AI customers.

Pilot KPIs

Metrics investors and partners will care about.

Revenue per kW

Monthly gross margin by site and by workload category.

GPU utilization

Percentage of compute capacity consumed by paid workloads.

Inference latency

P50/P95 response time by city, model, customer, and route policy.

Power resilience

Grid outage tolerance, battery events, throttling periods, and SLA impact.

Local value creation

Local-language AI adoption, site-owner revenue share, job creation, and community benefit.

Security posture

Tenant isolation, audit trails, signed node heartbeats, and compliance readiness.