Feasibility study
Is it possible, and is it worth it?
- Duration
- 1–3 weeks
- Commercial shape
- Fixed price
- You get
- A written answer and a cost estimate, even when the answer is no.
Services
Everything between idea and result.
Models, data, interfaces and infrastructure, covered by one team, so the gaps between them stop being yours to manage.
Machine learning
Models that answer a business question.
A model is only worth building if someone can act on what it says.
So we start from the decision you're trying to make. Which customer to call. Which order to flag. How much stock to hold. Then we work backwards to the method and the data that support it.
- Demand, revenue and capacity forecasting
- Churn, credit and risk scoring
- Recommendation and ranking systems
- Anomaly and fraud detection
- Evaluation tied to a business metric, not just accuracy
Built with Python, scikit-learn, XGBoost, pandas, MLflow
Deep learning
For problems classical methods can't reach.
Language, images, audio and long sequences need a different class of model.
We build and fine-tune them on your domain, and we're just as willing to tell you when something far simpler performs every bit as well for a fraction of the cost.
- Natural language understanding and extraction
- Fine-tuning foundation models on your data
- Retrieval-augmented generation over internal knowledge
- Sequence and time-series architectures
- Model compression for cost and latency
Built with PyTorch, TensorFlow, Hugging Face, Vector search
Computer vision
Systems that work on real footage.
Vision demos are easy. Vision systems are not.
Cameras move, lighting changes, lenses get dirty, and the edge device has a fraction of the compute you prototyped on. We build for those conditions from the first week, because that's where the value actually lives.
- Object detection, tracking and counting
- Segmentation and visual quality inspection
- OCR and document understanding
- Real-time inference on edge hardware
- Annotation strategy and dataset construction
Built with OpenCV, YOLO, ONNX, TensorRT, Jetson
AI agents & workflows
Agents that touch your systems.
Tool use, retries, cost ceilings and human approval gates, with an audit trail at every step.
Multi-step agents built on LangChain and LangGraph over Claude or GPT, orchestrated with n8n, Airflow or Celery and wired into your CRM, ERP and document stores.
- Multi-step agents with tool use and retries
- Retrieval over your internal knowledge base
- Document intake, classification and extraction
- Human approval gates on anything consequential
- CRM, ERP and internal system integrations
- Token-cost ceilings, tracing and evaluation
Built with LangChain, LangGraph, Claude, OpenAI, n8n, Airflow, Vector DBs
Infrastructure & MLOps
The layer that decides what lasts.
Plenty of good models never make it out of a notebook.
We set up the accounts, pipelines, containers, monitoring and cost controls that turn a promising prototype into a system your team can rely on, and afford to keep running.
- Cloud architecture on AWS or Google Cloud
- Infrastructure as code and repeatable environments
- CI/CD, containerisation and orchestration
- Model serving, versioning and drift monitoring
- Observability, alerting and cloud cost control
Built with Docker, Kubernetes, Terraform, AWS, Grafana
Product & design
The interface is the other half.
A system people avoid using returns nothing, however good the model underneath it is.
Design runs alongside engineering here: research, flows, interface, and the way a result is explained to the person who has to act on it.
- User research and workflow mapping
- Interface and interaction design
- Design systems and component libraries
- Dashboards and data visualisation
- Brand and identity work where it's needed
Built with Figma, Design systems, Prototyping, Accessibility
Custom software & data
Built around your operations.
Sometimes the answer isn't a model at all.
It's a platform that fits how you actually work, sitting on data you can finally trust. We build those too, and we'll say so when that's the honest recommendation.
- Web platforms and customer-facing products
- Internal tools and operational dashboards
- APIs and system integration layers
- Data pipelines, warehousing and ETL
- Analytics and reporting your team can self-serve
Built with React, Next.js, TypeScript, FastAPI, PostgreSQL
Web & mobile engineering
The product your customers touch.
Typed, tested, and deployed on infrastructure you own.
Front ends, back ends and mobile apps built to production standards. We work across the JavaScript and PHP ecosystems, and ship native-quality mobile from a single codebase wherever that's the right call.
- React, Next.js and Vue front ends
- Node.js, Laravel and FastAPI back ends
- Cross-platform mobile with Flutter
- Native iOS and Android where it is warranted
- Design systems and component libraries
- Typed, tested and CI-deployed from day one
Built with TypeScript, React, Next.js, Vue, Node.js, Laravel, Flutter, Swift, Kotlin
Engagements
Three ways in.
Not every problem needs a full build on day one. Pick the one that matches where you are.
Project delivery
The full arc: design, build, deploy, measure.
- Typical duration
- 6–16 weeks
- Commercial shape
- Milestone-based
- You get
- A written scope agreed up front, so you always know what's coming next and what it costs.
Ongoing engineering
A continuing partnership for teams shipping regularly.
- Cadence
- Monthly
- Commercial shape
- Retained capacity
- You get
- Iteration, monitoring, new models, and whatever the roadmap turns up next.
Not sure which you need?
Describe the problem on a call and we'll tell you which discipline it belongs to, including when the honest answer is none of ours.