AI at Amaryllis
Real AI. Real Impact.
We deploy open-source AI across all three of our pillars — not as a gimmick, but as a practical tool that solves specific, measurable problems.
Discuss an AI ProjectMudhumeni — Crop Disease Detection
Tech Stack
Problem
Farmers lose 20–40% of yields to diseases and pests that are identified too late for effective intervention.
Solution
A computer-vision model trained on 50,000+ images of Zimbabwean crop diseases runs on-device, giving instant diagnosis from a smartphone photo.
Outcome
Up to 60% reduction in crop loss. 3,000+ farmers using the app across Mashonaland and Manicaland.
AI Irrigation Scheduler
Tech Stack
Problem
Over-irrigation wastes water and nutrients; under-irrigation stunts growth. Manual scheduling is imprecise and labour-intensive.
Solution
IoT soil-moisture sensors feed a recurrent neural network that predicts optimal irrigation windows 48 hours ahead, accounting for weather forecasts.
Outcome
35–40% water savings. Automated pump control reduces labour by 8 hours/week per farm.
Automated BOQ Generation
Tech Stack
Problem
Preparing a Bill of Quantities manually from engineering drawings takes 2–3 weeks and is prone to costly errors.
Solution
A document-intelligence pipeline extracts dimensions and materials from PDF drawings, then generates a structured BOQ using an LLM with domain-specific fine-tuning.
Outcome
BOQ preparation time reduced from 3 weeks to 2 days. Error rate dropped by 78%.
AI Site Progress Monitoring
Tech Stack
Problem
Project managers can't be on-site 24/7. Delays and safety violations go undetected until weekly inspections.
Solution
IP cameras with an on-edge AI model detect construction progress milestones, PPE compliance, and unauthorised access — sending real-time alerts to project dashboards.
Outcome
Clients receive automated daily progress videos and milestone alerts. Safety incidents reduced by 45%.
Enterprise AI Chatbot (Amara)
Tech Stack
Problem
Businesses waste hours answering repetitive customer enquiries. Support teams are overloaded with routine questions.
Solution
A self-hosted Mistral 7B model fine-tuned on the client's product knowledge base, deployed as a secure API with full conversation history — no third-party data exposure.
Outcome
70% of routine enquiries handled without human intervention. 24/7 availability at near-zero marginal cost.
Intelligent Business Dashboard
Tech Stack
Problem
Decision-makers rely on static spreadsheets and delayed reports. Real-time visibility into KPIs is unavailable.
Solution
A unified data platform aggregates ERP, CRM, and operational data into a live dashboard with AI-generated narrative summaries and anomaly alerts.
Outcome
Executives receive a 5-minute AI briefing each morning. Operational issues are detected 4× faster.
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