Practical AI, integrated into the business you already run
We help companies apply proven AI technologies to their products, customers and operations, and become early leaders in using AI within their industry. No research projects, no replatforming: real features, measured in production.
Applied, not academic
The hard part of AI for most businesses is not the model. It is connecting the right technology to your data, your product and your team's daily work, then proving it pays off. That is the part we do.
- Integrate existing AI services and models into your systems
- Design the data flows that make AI accurate for your business
- Build the product features customers and staff actually use
- Measure, tune and run them in production
- Train foundation models or run AI research
- Build machine-learning models from scratch when a proven service exists
- Ship AI features without a business metric attached
- Recommend AI where simpler software would do the job better
Seven areas where AI already delivers for our clients
Recommendation & Personalization
Product, content and offer recommendations across web, app and email, driven by real customer behaviour. We have built and run these systems inside live e-commerce platforms.
Explore recommendation & personalizationCustomer Data & CDP
Bring orders, browsing, support and marketing data into one customer profile. The foundation every other AI feature depends on, and a source of truth for your teams.
- Identity resolution and unified profiles
- Segments and audiences for every channel
- Behaviour analysis and reporting
Search & Discovery
Full-text and semantic search that understands intent, handles typos and synonyms, and ranks results by what actually converts.
- Full-text search engines, tuned
- Vector and hybrid search
- Merchandising rules and ranking
Chatbots & AI Assistants
Assistants grounded in your own catalogue, policies and customer data, so they answer accurately and can complete real tasks, not just chat.
- Customer support and sales assistants
- Internal assistants for staff
- Hand-off to humans, with context
AI Content & Automation
Generate and enrich product descriptions, summaries, translations and categorisation at scale, with review steps so quality stays under your control.
- Catalogue enrichment
- Document and ticket processing
- Workflow automation
Customer & E-commerce Intelligence
Turn behaviour data into decisions: churn and demand signals, pricing and stock insight, and dashboards your team will use.
- Behaviour and cohort analysis
- Forecasting and anomaly alerts
- Decision-support dashboards
AI Integration with Existing Platforms
Connect AI services to your e-commerce platform, CRM, ERP, helpdesk or CMS through clean, maintainable integrations.
- LLM and ML API integration
- Guardrails, logging and cost control
- Vendor-neutral architecture
From first use case to AI-ready business in measured steps
We start small, prove value, then expand. Every step leaves you with working software and a clearer picture of where AI pays off in your industry.
AI opportunity review
A short engagement to review your platform, data and workflows and rank the use cases by value and effort.
Pilot in production
One feature, live with real customers or staff, measured against a baseline. Usually weeks, not months.
Scale what works
Extend the winning feature across channels and add the next use case on the same data foundation.
Operate and improve
We monitor quality, cost and outcomes, and keep the system current as models and your business change.
Start with an AI opportunity review
We will tell you where AI can realistically help your business first, and what it would take.