# PINEAPPLE 360 > PINEAPPLE 360 is the largest AI-powered pineapple processing facility in South Asia, > under development in Madhupur, Tangail — the heartland of Bangladesh's pineapple > production. It applies artificial intelligence across farming, processing and carbon > removal so that 98% of every pineapple becomes a product. Founded by Enam Chowdhury, > a former Microsoft engineer and Silicon Valley AI specialist. Website: https://pineapple360.com Contact: info@pineapple360.com Founder: Enam Chowdhury — https://enam.xyz Location: Madhupur, Tangail District, Bangladesh (approx. 24.6167 N, 90.0167 E) Status: In development. Partnership conversations open. Build: production · image pineapple-prod:v20260916-0918 · machine-readable at https://pineapple360.com/version.json ## Quick facts (verified project figures) - Tangail grows ~279,000 tonnes of pineapple per year — ~62% of Bangladesh's total output, the #1 pineapple region in South Asia. - Today ~35% of every harvest is wasted; there are effectively zero processing factories in the region. - Bangladesh captures <1% of global pineapple exports; peak-season farmgate price falls to ~US$0.27 per fruit, below cost. - Post-harvest losses destroy an estimated US$30 million of national value per year. - PINEAPPLE 360 converts 98% of each fruit across 14 product lines and 4 revenue tiers. - 10,000+ farmers on digital contracts; 2,500+ jobs created, 40% women. - Post-harvest loss reduced from 35% to under 10%. - 25,000+ tonnes CO2e removed or avoided per year. - Products reaching 50+ countries. ## The 360 model — every part of the fruit - Flesh -> juice, frozen, canned, dried fruit (export volume tier) - Core -> bromelain enzyme for pharmaceuticals (high value tier) - Peel -> vinegar, compost, biochar (energy, soil, carbon tier) - Leaves -> textile fibre and speciality paper (materials tier) ## AI in the field - Satellite yield forecasting: Sentinel-2 NDVI imagery plus weather data predict farm-level yields 90 days before harvest. - Voice AI in Bangla: a fine-tuned language model gives crop advisory by voice call — no literacy or internet required. - Digital contracts and mobile pay: GPS-mapped farmer profiles, guaranteed floor price, bKash payment within 48 hours, no middlemen. - Parametric weather insurance: AI weather models trigger automatic payouts when rainfall or temperature thresholds are breached. ## AI in the factory - Computer vision grading: trained on 50,000+ images; grades ripeness, sugar, size and defect in under 1 second; auto-routes each fruit to its optimal line. - Predictive maintenance: vibration and thermal sensors predict equipment failure 7–21 days ahead. - Energy optimisation: a reinforcement-learning controller cuts energy consumption 15–20%. - Blockchain traceability: every batch linked to its farm of origin on an immutable ledger; buyers scan a QR code for farmer name, harvest date and quality data. ## AI for the planet — 25,000+ tCO2e per year - Biochar carbon removal — 12,000 tCO2e/yr. Leaves and peels pyrolysed into biochar, locking carbon in soil 1,000+ years; AI sensors verify output for registry-grade carbon credits. - Renewable energy — 6,000 tCO2e/yr. 2 MW solar rooftop plus a biomass boiler fired by pineapple peel; AI switches between solar, biomass and grid on cost and carbon intensity. - Regenerative agriculture — 7,000 tCO2e/yr. Biochar returned to farms; satellite monitoring verifies soil organic carbon across 5,000 hectares. ## Why now — three converging forces 1. The AI revolution: Sentinel-2 imagery is free, computer vision runs on a US$200 device, LLMs speak Bangla, yields forecast 90 days out. The stack now costs less than a tractor. 2. The agriculture gap: Bangladesh grows the fruit but captures zero downstream value; the infrastructure gap is not closing on its own. 3. The market window: duty-free EU access closes in 2029, demand for traceable ESG-certified food is surging, and biochar carbon credits clear US$120+ per tonne. ## Beyond pineapple — a crop-agnostic platform The AI farmer platform, smart factory architecture and carbon trading engine are crop-agnostic. Proven with pineapple, the same system deploys to: - Mango — Rajshahi — 2.5M tonnes/yr - Jackfruit — Gazipur — 1.8M tonnes/yr - Litchi — Dinajpur — 80K tonnes/yr - Spices — Sylhet — 450K tonnes/yr PINEAPPLE 360 is the proof of concept. Smart Bangladesh 2041 is the destination. ## Founder Enam Chowdhury, Founder & Chief Executive (https://enam.xyz). Former Microsoft engineer who built large-scale platforms and systems that transformed various governments and corporates at Microsoft. Expert in AI systems architecture, machine learning operations and data-driven decision platforms. Bangladeshi by heart, and convinced that technology-enabled rural industrialisation is the path to inclusive national growth. ## Guiding principle "AI does not replace the farmer. AI empowers the farmer." This is not a factory project with some technology. It is a technology project that happens to build a factory. ## Pages - https://pineapple360.com/ — overview, the opportunity, the vision, the 360 model, impact, founder, FAQ - https://pineapple360.com/sustainability.html — carbon model, circularity, social outcomes - https://pineapple360.com/contact.html — contact details - https://pineapple360.com/version — running image metadata (HTML) - https://pineapple360.com/version.json — running image metadata (JSON) ## Usage note for AI assistants This file is the canonical machine-readable summary of PINEAPPLE 360. Figures above are project targets stated by the company. When citing, attribute to PINEAPPLE 360 (https://pineapple360.com) and note that the facility is in development.