Real problems don't respect the boundary between a model, a database, an interface and the server it runs on. We cover all of it, so the gaps between them stop being yours to manage.
01 · 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.
Pythonscikit-learnXGBoostpandasMLflow
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
02 · DEEP LEARNING
For the 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.
PyTorchTensorFlowHugging FaceVector search
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
03 · 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.
OpenCVYOLOONNXTensorRTJetson
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
04 · AI AGENTS & WORKFLOWS
Agents that actually touch your systems.
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. Tool use, retries, cost ceilings and human approval gates, with an audit trail at every step.
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.
DockerKubernetesTerraformAWSGrafana
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
06 · PRODUCT & DESIGN
The engine is half of it. 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.
FigmaDesign systemsPrototypingAccessibility
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
07 · CUSTOM SOFTWARE & DATA
Built around your operations, not the other way round.
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.
ReactNext.jsTypeScriptFastAPIPostgreSQL
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
08 · WEB & MOBILE ENGINEERING
The product your customers actually touch.
Front ends, back ends and mobile apps built to production standards: typed, tested, and deployed on infrastructure you own. We work across the JavaScript and PHP ecosystems, and ship native-quality mobile from a single codebase wherever that's the right call.
Not every problem needs a full build on day one. Pick whichever matches where you actually are today.
01 · INVESTIGATE
Feasibility study
A short, fixed-scope investigation into whether your idea is technically possible and commercially worth it. You end up with a written answer and a cost estimate, even when the answer is no.
1–3 weeksFixed price
02 · BUILD
Project delivery
The full arc: design, build, deploy, measure. Milestone-based against a written scope agreed up front, so you always know what's coming next and exactly what it costs.
6–16 weeks typicalMilestone-based
03 · PARTNER
Ongoing engineering
A continuing technical partnership for teams shipping regularly. Retained capacity for iteration, monitoring, new models, and whatever the roadmap turns up next.
MonthlyRetained capacity
Not sure which of these you need?
That's a completely normal place to start. Describe the problem on a call and we'll tell you which discipline it actually belongs to, including when the honest answer is none of ours.