Customer Stories
See how FranTechAI is helping farmers, researchers, and innovators solve real-world challenges and achieve breakthrough results.
Turning Around Two Years of Fibre Crop Failure with FranTechAI
The Problem
In 2023 and 2024, Kannalab - a start-up active in next-gen textile fibers and fabrics using eco-friendly processing, attempted to cultivate fibre crops in their own farm. Despite initial efforts and compliance with generic fertilisation protocols, both seasons failed.
Crop Issues:
- Stunted germination
- Purple, nutrient-stressed seedlings
- Weak stems and patchy stands
Soil Test Results:
- Severe phosphorus and potassium depletion
- Extremely acidic pH (≈ 3.8)
- Residual aluminium and manganese toxicity
National Institute Response: The Slovak National Agricultural Institute (NPPC) recommended a 3-year phased liming plan, but gave no concrete nutrient or fibre crop specific advice. The situation remained unresolved.
Enter FranTechAI
With time, budget, and patience running out, the farmer turned to FranTechAI.
Using basic soil data and farm context as input, FranTechAI generated:
Comparative Insight: FranTechAI vs Institute
| Criterion | FranTechAI | National Institute (NPPC) |
|---|---|---|
| Timing of support | After 2 failed seasons + NPPC input | After failures |
| Lime application | One-pass, test-adjusted | 3-year phased |
| P & K recommendations | Yes, crop-specific & dosed | Not provided |
| Magnesium correction | Included (via dolomite) | Not mentioned |
| Duration to pH > 6 | 1 season (with soil retest) | 3 seasons |
| Suitability for crop | Fibre crop-specific | Generic crop-neutral |
| Fertilization legal guidelines | Yes | No |
| Financial projections | Yes | No |
| Sustainability considerations | Yes | No |
Farmer Testimonial
"The agronomic advice from FranTechAI is all-encompassing and on point. It provided detailed scheduling, precise nutrient recommendations, and specific actions backed by academic references. Far more tailored than what we've received before from the Slovak National Agricultural and Food Center. Some cost estimates were off when switching to 'investor mode' but overall, this tool is a powerful asset for farmers and startups especially if combined with Francesco support."
Thomas Thot
Co-Founder, Kannalab
Outcomes
Lessons & Feedback
Institutional advice: While conservative, lacked crop and context specificity
AI model: Offered clarity and execution focus, but had limitations in pricing accuracy (used indexed prices rather than local suppliers)
Human expertise: Call with Francesco can include geo-localised pricing and logistics adjustments
Cost-effectiveness: Traditional agronomic consulting for this scope typically ranges between €600-1,200 per plan. FranTechAI provided a full-season strategy, nutrient model, and financial forecast for a fraction of that, delivered almost instantly.
Conclusion
After two years of failed fibre crop harvests and limited institutional support, FranTechAI enabled the farm to:
FranTechAI bridges data, decision, and deployment in one intelligent loop—providing real-world solutions when traditional methods fall short.
More Customer Voices
What other users are saying about FranTechAI
"This AI tool is brilliant!"
Jorge Cervantes
Expert cultivator
"Fire!"
Davide de Rossi
CTO Ambra
"Looks like no more need for master growers!"
Dwight Diotte
Researcher
"FranTechAI is the combination of Francesco's rare competences with the latest cutting-edge AI. It significantly boosted my productivity and confidence as an entrepreneur in sustainability"
Tommaso de Santis
Founder, Scope4