Building AI for Real Business Problems

A Lab That Ships
AI That Works

ChotuLab builds production-grade AI products that drive measurable business impact — from reducing food waste in grocery chains to intelligent automation across industries.

7.2%
Forecast Error (MAPE)
98%
Waste Risk AUC
35+
ML Features Engineered
More Accurate Than Rules
€6/mo
Full-Stack Infra Cost

AI Tools Built for Real Decisions

Each product is end-to-end — from data pipeline to live dashboard — built to solve a specific, measurable business problem.

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● Live
ShelfLife AI
Predicts daily demand per product per store, scores waste risk before expiry, and delivers actionable recommendations — markdown, reorder, donate — exactly when managers need them.
XGBoost LightGBM FastAPI Streamlit MLflow PostgreSQL
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In Development
DrugSafe AI
Multi-agent drug interaction checker and prescription risk analyzer for healthcare providers. Flags contraindications in real-time, reducing adverse drug event risk.
LangGraph RAG FastAPI React
📄
Coming Soon
ContractIQ
RAG-powered contract intelligence platform. Upload any contract and instantly extract obligations, risk clauses, renewal dates, and liability limits.
RAG LLM Vector DB Python
📈
Coming Soon
StockPulse AI
Real-time stock analysis agent that combines financial data, earnings reports, and news sentiment to generate buy/sell signals with explainable reasoning.
MCP LangChain TimeSeries Redis
🏗️
Coming Soon
SiteIQ
Predictive maintenance and safety monitoring for construction sites. Computer vision + sensor fusion to detect hazards and predict equipment failures before they occur.
CV YOLO IoT Kafka
Built with production-grade tools

AI Should Solve Real Problems

Too many AI demos look impressive but never make it to production. At ChotuLab, every product is deployed, monitored, and built to the same standard as enterprise software — because that's the only kind that creates real business value.

We focus on domains where bad decisions cost money every single day — food waste, drug safety, financial risk, contract compliance. Places where AI can prevent loss, not just generate reports.

🎯
Production-First
Every project ships with CI/CD, Docker, monitoring, and a live URL. No Jupyter notebooks in demos.
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Measurable Impact
Each product is evaluated against real business metrics — MAPE, AUC, revenue impact, cost savings.
Full-Stack ML
Data pipeline → feature engineering → model training → API → dashboard. End-to-end ownership.
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Secure & Lean
Secrets management, rate limiting, HTTPS, minimal cost. Enterprise quality without enterprise spend.