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Web applications and digital productsProduct, Research & Positioning
Valor AI — Produce Grading & Precision Agriculture
Offline-first AI helping farmers and agribusinesses grade produce, detect crop diseases and reduce food waste.
My RoleCo-founder & CMO (Market Research, Product Positioning & GTM)
01 / The Problem or Idea
Post-harvest quality assessment and crop disease detection in agriculture are often subjective, slow, or reliant on cloud tools that fail when rural internet connectivity drops.
02 / Purpose
Build the operating system for precision agriculture—helping farmers and agribusinesses grade produce, detect diseases and improve quality using smartphone cameras with offline-first AI.
03 / My Exact Role
As Co-founder & CMO (working alongside my technical co-founders), I lead market research, farmer and agribusiness discovery, product positioning, brand messaging and go-to-market strategy.
04 / Key Decisions
- •Centered positioning around offline-first field reliability and reducing post-harvest loss rather than abstract AI buzzwords.
- •Communicated impact clearly across media and industry platforms (featured in TechCabal, Punch, BusinessDay, People of Color in Tech and AgroCentric).
05 / Tools & Stack
AgriTech AIProduct PositioningMarket ResearchGo-To-Market
06 / Lessons Learned
In emerging-market technology, understanding the physical environment and earning farmer trust matters just as much as model accuracy.