Challenge
Solar inspection produces large volumes of thermal imagery that need consistent labels before models or operators can act on defects.
FIELD GUIDE · BUILD
Inspec-Ther
AI-assisted thermal inspection of solar PV assets—pairing field imagery with annotation and review workflows.
In progressStratetics Experts
Role
CTO & Co-Founder — technical systems and labeling product adjacency via Athena.
Design decisions
- Ground inspection work in human-reviewed annotations rather than unverified model output.
- Reuse Athena labeling patterns for thermal imagery where the annotation task is the bottleneck.
Screenshots and media
Current state
Positioned publicly as a Stratetics sub-brand for solar inspection. Public receipts today are portfolio presence plus Athena labeling evidence on thermal-style imagery—not a separate quantified case study.
What I learned
- Inspection value depends on annotation quality as much as on capture hardware.