01Industries
Different industries.The same discipline.
Problems are problems. We work across industries, and many of the solutions we deploy in one apply directly to another. These are examples of where we work, not the limit of it.
02Problems cross industries
The same problem shows up everywhere.
We organise our work by business problem. Here is where each kind of problem commonly appears.
Operations
Manual reporting · Workflow automation · Document processing · Internal approvals
Customer
Customer service · Lead management · Personalisation · Customer-facing applications
Intelligence
Data analysis · Forecasting · AI assistants · Decision support
Industrial
Quality inspection · Computer vision · IoT · Edge systems
Internal
Knowledge management · Employee workflows · Internal software · QA and evaluation
Illustrative · not a list of engagements
01Education
Industry detailBuilding Better Learning Experiences.
Learning platforms succeed when students choose to come back. Technology can personalise practice, make progress visible and take repetitive work off educators.
Common challenges
- Keeping students motivated to practise consistently
- Aligning content with curricula as they change
- Giving learners a clear picture of what to work on next
- Administrative workload that takes time from teaching
- Disconnected learning, content and reporting systems
Relevant capabilities
- Software & Applications
Web and mobile learning experiences built around how students actually study.
- AI & Agentic Systems
Personalised practice and support, with the controls education requires.
- Data & Analytics
Progress tracking by subject, topic and level.
- Automation
Content operations and reporting without manual effort.
- Quality & Evaluation
Checking content accuracy and AI behaviour before learners see it.
Related work
No published education case studies yet
02Retail & Consumer
Industry detailOperations That Keep Up With Customers.
High-volume operations where small workflow improvements compound across stores, channels and customers.
Common challenges
- Manual product and content operations
- Fragmented customer, order and inventory data
- Repetitive customer service enquiries
- Slow reporting across channels and locations
Relevant capabilities
- Automation
Product, content and order workflows that run themselves.
- AI & Agentic Systems
Assisted customer service grounded in real policies and data.
- Data & Analytics
One view of performance across channels and locations.
- Systems Integration
Commerce, inventory and service systems working together.
Related work
No published retail & consumer case studies yet
03Technology & Software
Industry detailFrom Prototype to Production.
Teams that know what they want to build but lack the capacity or specialist experience to get it into production.
Common challenges
- Internal teams at capacity
- AI features stuck at prototype
- Limited evaluation and quality processes for AI
- Integrating new capabilities into existing platforms
Relevant capabilities
- AI & Agentic Systems
Production-grade AI features, not demos.
- Software & Applications
Extra engineering capacity inside your stack.
- Quality & Evaluation
Evaluation pipelines for non-deterministic systems.
- Systems Integration
New capabilities wired into existing platforms.
Related work
No published technology & software case studies yet
04Operations-heavy Businesses
Industry detailWhere People, Process and Physical Work Meet.
Logistics, services and other businesses where coordination happens across teams, sites and systems.
Common challenges
- Manual coordination between teams and sites
- Limited real-time operational visibility
- Processes that have outgrown spreadsheets
- Field work that is hard to capture and report
Relevant capabilities
- Software & Applications
Custom tools that fit how the operation actually runs.
- Automation
Scheduling, dispatch and reporting with less manual effort.
- IoT & Edge
Real-time signals from sites, vehicles and equipment.
- Data & Analytics
Operational dashboards people actually use.
Related work
No published operations-heavy businesses case studies yet
05Financial Services
Industry detailAccuracy, Auditability, Speed.
Document-heavy, regulated processes where accuracy, auditability and evaluation matter as much as speed.
Common challenges
- Document-heavy manual review
- Knowledge spread across policies, procedures and systems
- Legacy system constraints
- The need to evidence how automated decisions are made
Relevant capabilities
- Automation
Document processing with human review where it matters.
- AI & Agentic Systems
Knowledge systems that answer from approved sources.
- Systems Integration
Working alongside core and legacy platforms.
- Quality & Evaluation
Evaluation and monitoring that support audit requirements.
Related work
No published financial services case studies yet
06Manufacturing
Industry detailIntelligence for Real‑World Production.
Factories combine physical processes, legacy equipment, shift-based teams and tight tolerances. Technology only creates value there when it works on the floor, not just in a demo.
Common challenges
- Manual inspection that is slow, inconsistent or hard to scale
- Production data trapped in machines, spreadsheets or paper
- Limited visibility of equipment status and downtime causes
- Knowledge held by a few experienced operators
- Disconnected systems between the floor and the office
Relevant capabilities
- Computer Vision
Visual inspection and monitoring under real line conditions.
- Automation
Removing manual steps from reporting, handover and quality workflows.
- Data & Analytics
Operational data made reliable and visible to supervisors.
- IoT & Edge
Signals from equipment and sensors, processed where they happen.
- Quality & Evaluation
Proving detection and automation behave reliably before and after launch.
Related work
No published manufacturing case studies yet
08Start a conversation
Don’t see your industry?Bring us the problem.
Tell us about the problem, the outcome you need and the team you have. We’ll help you work out what to build, who should build it and how to put it to work.