AI/ML Development
End-to-End Machine Learning for Real Business Problems
We build, train, evaluate, and deploy machine learning models tailored to your specific use case — from NLP and computer vision to tabular ML and generative AI — with production infrastructure built in from day one.
50+
ML Models in Production
6 Wks
POC to Trained Model
90%+
Model Accuracy Achieved
3×
Faster Iteration Cycles
Custom AI and ML Models Built for Your Specific Problem
Off-the-shelf AI works for generic problems. When your use case is specific to your industry, your data, or your competitive context, you need a custom model — one trained on your data, evaluated against your success criteria, and deployed in your infrastructure.
We build custom AI and ML models across NLP, computer vision, recommendation systems, time-series forecasting, and classification tasks. Every engagement starts with problem framing: we define the task precisely, establish success metrics, and assess whether your data is sufficient before writing a line of model code.
We do not ship Jupyter notebooks. We ship production systems — containerised model serving, REST or gRPC APIs, monitoring dashboards, and retraining pipelines. Your team should not need ML expertise to operate what we build.
- Problem framing first — clear success metrics before any model training
- Custom models across NLP, computer vision, forecasting, and classification
- Production deployment — containerised, API-served, and monitored
- Retraining pipelines — models stay accurate as your data evolves
50+
ML Models in Production
AI/ML Development Capabilities
A complete suite — from initial workflow mapping through to production deployment and ongoing optimisation.
Custom ML Model Development
End-to-end model development from data preparation and feature engineering through training and evaluation.
NLP & Text Analytics
Sentiment analysis, entity extraction, document classification, summarisation, and conversational AI models.
Computer Vision Systems
Image classification, object detection, OCR, and video analysis models for visual data use cases.
LLM Fine-Tuning & RAG
Fine-tune foundation models on your proprietary data or build Retrieval-Augmented Generation systems.
Time-Series & Forecasting
LSTM, Prophet, and transformer-based time-series models for demand, sales, and operational forecasting.
Feature Engineering & Pipelines
Automated feature extraction, selection, and transformation pipelines for robust model training.
Use Cases in Production
Real deployment patterns — the specifics vary per client, but the structure stays the same.
Legal TechnologyContract Clause Extraction Model
A legal services firm was manually reviewing 800+ contracts per month to extract key clauses — payment terms, liability caps, termination rights, and renewal conditions. Each review took 45 minutes of a senior lawyer's time.
A fine-tuned NLP model trained on 12,000 annotated contracts to identify and extract 22 clause types with confidence scoring. Integrated into the firm's document management system — lawyers review AI extractions rather than reading full contracts.
- Contract review time reduced from 45 minutes to under 8 minutes per contract
- Clause extraction accuracy at 94.3% across all 22 types
- £280K annual saving in senior lawyer time in year one
ManufacturingVisual Quality Control System
A manufacturer was using manual visual inspection to detect surface defects on finished products — a process that was slow, inconsistent across inspectors, and missing 12% of defects that reached customers.
A computer vision model trained on 40,000 labelled product images, deployed on edge hardware at the production line. Real-time defect detection with defect type classification, severity scoring, and automatic rejection trigger — no inspector required.
- Defect escape rate reduced from 12% to under 0.8%
- Inspection throughput increased 4× — no production line speed reduction
- Model deployed across 3 production lines within 6 months of initial training
E-commercePersonalised Product Recommendation Engine
An e-commerce platform's recommendation system was rule-based — bestsellers in the same category, nothing more. Average order value was flat and repeat purchase rate was declining as the catalogue grew to 80,000 products.
A collaborative filtering and content-based hybrid recommendation model using purchase history, browse behaviour, and product attributes. Personalised recommendations served in real-time on PDP, cart, and post-purchase pages via a low-latency recommendation API.
- Average order value increased 18% within the first 3 months
- Click-through rate on recommendations from 2.1% to 6.8%
- Repeat purchase rate improved 14% year-over-year
Why Choose Us for AI/ML Development
Use-Case Tailored Models
No generic models adapted to your problem — every model is trained and tuned for your specific data and objective.
Production-Ready from Day 1
Models are built with deployment, monitoring, and retraining in mind — not retrofitted after the fact.
Explainable & Auditable AI
We implement model explainability tools so you can understand and justify every prediction made.
Framework Agnostic
We choose the right framework — TensorFlow, PyTorch, scikit-learn, or LLM fine-tuning — for each problem.
Our Delivery Process
A structured path from business process discovery through to live deployment and continuous improvement.
Problem Framing & Data Review
Define the ML objective, identify and assess training data, and set measurable success criteria.
Experimentation & POC
Rapid model prototyping, baseline establishment, and approach validation before full investment.
Production Model Build
Full model engineering with hyperparameter tuning, evaluation suite, and deployment pipeline.
Deploy, Monitor & Retrain
Production deployment, performance monitoring, drift detection, and scheduled retraining pipelines.
Industries We Serve
Technologies We Use
Industry-proven tools chosen for performance, reliability, and long-term support.
Python
TensorFlow
OpenAI
AWSFrequently Asked Questions
Ready to Build Something Great?
Let's turn your idea into a product. Book a free 30-minute discovery call with our team — no commitment, just clarity.