AI built exactly for you
Custom AI development from Agility produces bespoke machine learning systems built to your exact specifications, not adapted templates.
- AI projects delivered
- 200+
- Weeks to production
- 4 to 10 wks
- Demos during the build
- Weekly
- Junior devs on your project
- 0
The short answer
What does custom AI development cover?
See our case studies, or view all AI implementation services.
How a project runs
Fixed before you commit
Implementation runs 4 to 10 weeks depending on data readiness and integration complexity. The project starts with a scoped data assessment before any build begins, so timelines and costs are fixed before you commit.
We have delivered 200+ custom AI systems across finance, healthcare, FMCG, maritime, and retail. In our manufacturing forecasting project, the model reached 88% prediction accuracy in targeted demand scenarios.
How a custom AI build runs
- To production, depending on data readiness and integrations
- 4 to 10 weeks
- Demos during the build
- Weekly
- Deployed to your own infrastructure, built in Python
- AWS, Azure, GCP
- Prediction accuracy in our manufacturing forecasting project
- 88%
What we build
What we build
From standalone ML models to full AI-powered products, built for production from day one.
AI-powered SaaS products
Full-stack AI products from idea to launch: LLM backends, vector search, multi-tenant architecture, billing.
- Document intelligence platforms
- AI writing assistants
- Automated research tools
- Personalisation engines
Predictive ML models
Custom machine learning models trained on your data: churn prediction, demand forecasting, fraud detection.
- Churn and LTV prediction
- Demand forecasting
- Fraud and anomaly detection
- Price optimisation
AI process automation
Workflow automation powered by AI: document processing, data extraction, decision engines.
- Invoice and contract extraction
- Automated compliance checks
- Intelligent routing systems
- AI approval workflows
Computer vision systems
Image and video AI: quality inspection, object detection, OCR, and visual analytics at scale.
- Manufacturing quality control
- Retail shelf analysis
- Medical image analysis
- Document scanning and OCR
AI data platforms
The data infrastructure that powers your AI: feature stores, ML pipelines, real-time serving.
- Feature engineering pipelines
- Model serving APIs
- Real-time prediction endpoints
- A/B testing infrastructure
AI integration and APIs
AI capabilities embedded into your existing products via clean, well-documented APIs and SDKs.
- REST and GraphQL AI APIs
- Webhook-driven AI pipelines
- SDK development
- AI microservices
Case studies
Custom AI in production
Heart disease risk prediction
Healthcare
A predictive platform for a regional health network: 85% accuracy predicting heart disease risk up to 30 days ahead, 20% fewer cardiac readmissions and risk scores in under 2 minutes.
Payment processing automation
Payments
Payment automation for a Caribbean food delivery platform paying 1000+ delivery partners: each payment cycle cut from 3 days to 30 minutes, with 99.8% payment accuracy.
Demand forecasting
Manufacturing
A custom forecasting engine for a manufacturer: 88% prediction accuracy in targeted demand scenarios, 40% lower safety stock and 35% lower inventory carrying costs.
Capabilities
Full AI capability stack
We cover the full breadth of modern AI and ML, not just LLMs.
- Large Language Models (GPT-4, Claude, Llama)
- Machine Learning (scikit-learn, XGBoost, LightGBM)
- Deep Learning (PyTorch, TensorFlow, Keras)
- Computer Vision (YOLO, Detectron2, custom CNNs)
- NLP and Text Analytics
- Time Series Forecasting
- Reinforcement Learning
- Recommendation Systems
- Anomaly Detection
- RAG and Vector Search
- MLOps and Model Monitoring
- Edge AI and Model Compression
Process
How we build your AI
- 013 to 5 days
Problem definition
We define the exact AI problem, success metrics, and data requirements with you before writing a line of code.
- 021 week
Architecture design
Technology selection, data pipeline design, model architecture, and integration plan, all documented before the build starts.
- 033 to 8 weeks
Build, train and evaluate
Agile development with weekly demos. Model training, evaluation, and iteration until accuracy targets are met.
- 041 to 2 weeks
Deploy and hand over
Production deployment with monitoring, documentation, and optional ongoing support or team training.
Have an AI problem? Let's solve it.
No discovery calls that go nowhere. We'll review your use case, tell you if it's viable, scope it, and start building.
Keep exploring
Explore related AI services
The rest of Agility's AI engineering and consulting services.
Hire AI Developers
Senior, pre-vetted ML, LLM, data and MLOps engineers. Dedicated teams or staff augmentation.
Generative AI Consulting
RAG pipelines, AI agents and LLM integration, from strategy through to production.
AI Consulting for Healthcare
Clinical decision support, medical document AI, and HIPAA-compliant ML for health systems.
AI Consulting for Insurance
Claims automation, fraud detection, and underwriting AI for P&C, life, and health insurers.
AI Consulting for Logistics
Route optimization, demand forecasting, and warehouse AI for supply chain operators.