Service

AI-Powered Development

Integrating AI capabilities, from intelligent automation to custom ML pipelines, directly into your product or operations. Not demos. Deployed, production systems that make a measurable difference.

LLM Integration ML Pipelines Python OpenAI / Anthropic RAG Automation
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Production
Not prototypes
Every delivery
0
AI capability types
LLM to ML to automation
0+
Years engineering
AI since before the hype
100%
IP ownership
Your models, your data
What we build

Six types of AI capability we deliver

We build AI systems that solve specific, measurable business problems. Every engagement starts with the problem, not the technology.

LLM Integration & Chatbots
GPT-4, Claude, Gemini and open-source models integrated into your product as intelligent assistants, document processors, or customer-facing interfaces. Grounded in your data, not generic responses.
RAG & Knowledge Systems
Retrieval-augmented generation systems that give AI models access to your proprietary documents, databases and knowledge bases. Accurate, cited, and auditable answers, not hallucinations.
Predictive Analytics & Forecasting
Custom ML models for demand forecasting, anomaly detection, churn prediction and operational optimisation. Trained on your data, deployed in your infrastructure, re-trained on your schedule.
Intelligent Process Automation
AI-driven automation of repetitive business workflows, document processing, data extraction, classification and routing, reducing manual handling without replacing human judgement.
Computer Vision
Image and video analysis for quality inspection, document OCR, barcode reading, object detection and visual anomaly identification. Custom-trained models for your specific environment and use case.
AI-Assisted Development Tools
Internal engineering tools augmented with AI, code review bots, test generation, documentation assistants and intelligent search, that measurably accelerate your development team's output.
What's included

Every AI engagement, production-grade by design

Problem framing & feasibility
We validate whether AI is the right solution before building it. Many requests are better solved with deterministic logic, we'll tell you which.
Data assessment & preparation
Audit of your existing data for AI readiness. Data cleaning, labelling pipelines, feature engineering and embedding strategy all handled before model training begins.
Model development & training
Custom model development, fine-tuning of foundation models, or integration of API-based models. Benchmarked against your baseline metrics, not abstract academic scores.
Production deployment
Model serving infrastructure, API endpoints, latency optimisation, scaling configuration and cost management. Deployed on your infrastructure, not ours.
Monitoring & evaluation
Model performance dashboards, data drift detection, output quality monitoring and automated alerting. AI systems degrade, we build systems that tell you when they do.
Security & compliance
Prompt injection prevention, output filtering, PII handling, GDPR-compliant data processing and audit trails for regulated industries.
Documentation & handover
Full technical documentation, model cards, architecture diagrams and runbooks. Your team can operate, maintain and extend every system we build.
Re-training pipelines
Automated data collection, labelling workflows and model re-training pipelines so your AI improves with use rather than stagnating after launch.
Technology stack

The AI stack we build with

We are model-agnostic and cloud-agnostic. We recommend the right tools for your problem, cost profile and data governance requirements.

Python OpenAI API Anthropic Claude LangChain LlamaIndex PyTorch scikit-learn Hugging Face Pinecone / pgvector FastAPI AWS SageMaker Azure AI MLflow
Our approach

We build AI that works in production. Not in notebooks.

Most AI projects fail not because the model is wrong, but because the engineering around it is inadequate. We are software engineers first, data scientists second. Every AI system we build is production-grade from day one.

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We validate business impact before writing a line of model code
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We deploy on your infrastructure, your models, your data, your IP
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We build monitoring in from the start, AI systems need ongoing observation
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We document everything so your team can maintain it without us
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We tell you when AI is the wrong solution for your problem
AI Pipeline · Production · v2.4.1 INPUT Raw Data PROCESS AI Model OUTPUT Result LIVE METRICS Model accuracy 97.3% ↑ +0.4% Avg inference time 42ms ✓ SLA DATA DRIFT MONITOR baseline alert REQUEST LOG POST /api/ai/classify 200 38ms confidence:0.97 POST /api/ai/summarise 200 124ms tokens:847 GET /api/ai/health 200 2ms status:healthy
Engagement models

Three ways to start your AI project

No open-ended billing. Every engagement is scoped, priced and delivered in defined phases. Get a quote →

How we deliver AI

From problem to production system.

01
Problem framing
We define the exact business problem, success metrics and whether AI is the right approach before any code is written.
02
Data audit
Assess data quality, volume and labelling requirements. Identify gaps and build collection or labelling pipelines where needed.
03
Prototype
Working prototype built against real data. Benchmarked, evaluated and shared with your team before full build begins.
04
Production build
Model serving, APIs, monitoring and infrastructure built to production standards. Deployed on your infrastructure.
05
Evaluation
Rigorous testing against held-out data, edge cases and adversarial inputs. Performance validated against agreed success criteria.
06
Handover
Full documentation, runbooks and team training. Re-training pipelines operational. Your team owns and runs the system.
Related services

Often paired with

Custom Software Development
The product or platform that your AI system integrates into or augments.
Learn more →
IT Consulting
Not sure where AI fits in your technology strategy? Start with a consulting engagement to map the opportunity.
Learn more →
Dedicated Development Teams
Embed AI engineers directly in your team for ongoing model development and maintenance.
Learn more →
Start the conversation

Tell us what you're trying to automate or predict.

Free discovery call. We'll validate the approach, scope the build and tell you honestly whether AI is the right solution, within one conversation.

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