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AI & Machine Learning

Models that hold up in production, not just in a notebook.

We design, train and deploy machine learning systems that carry real operational load. That means data pipelines you can trust, models you can retrain, and monitoring that tells you when reality has drifted away from your training set.

What this covers

The whole surface, not the headline.

Strategy & feasibility

  • AI opportunity assessment against actual operational cost
  • Feasibility and build-versus-buy review
  • Data readiness audit — volume, labelling, lineage, gaps
  • Success metrics defined before the model is built
  • Proof of value on your own data, not a public dataset
  • Delivery roadmap and team shape

Data engineering

  • Ingestion, cleaning and normalisation pipelines
  • Labelling workflows and annotation tooling
  • Feature engineering and feature stores
  • Synthetic data generation where real data is thin
  • Data quality monitoring and validation
  • Lineage and reproducibility of every training run

Modelling

  • Custom model design, training and tuning
  • Predictive analytics and demand forecasting
  • Recommendation and ranking engines
  • Anomaly and outlier detection
  • Classification, regression and clustering
  • Time-series and survival modelling
  • Fine-tuning of foundation models on your domain

Evaluation & assurance

  • Offline evaluation harnesses and held-out benchmarks
  • Error analysis by segment, not just headline accuracy
  • Bias and fairness testing
  • Explainability for decisions that need to be justified
  • Human-in-the-loop review paths
  • Acceptance criteria agreed before release

Deployment

  • Batch, real-time and streaming inference
  • Model serving, containerisation and autoscaling
  • Edge and on-device deployment
  • Self-hosted and in-region deployment for residency rules
  • Shadow deployment and staged rollout
  • A/B and champion-challenger testing in production

Operate & retrain

  • Drift detection on inputs and predictions
  • Performance monitoring against live outcomes
  • Automated and scheduled retraining
  • Model registry, versioning and rollback
  • Cost and latency optimisation
  • Incident response when a model degrades
Delivered

7 projects built on this.

SwingSmith — AI golf swing analyser with a 10-position engine and in-app coach
Flagship

SwingSmith

SwingSmithSports TechGlobal

AI golf swing analyser with a 10-position engine and in-app coach

Upload one swing from a phone and get a 10-position breakdown, 50+ metrics, and the single fix worth practising next.

Computer VisionPose EstimationAI/ML
Read case studySee SwingSmith live
AI Document System — AI feasibility analysis, extraction and document generation for Dubai Municipality
Flagship

AI Document System

Dubai MunicipalityGovernmentUAE

AI feasibility analysis, extraction and document generation for Dubai Municipality

Reads third-party and internal feasibility documents, fills the financial sheets and forms that follow, and checks the result against ISO, WHO and other international standards.

AI/LLMsPythonFastAPI
Read case study
Flagship

Moving Estimator

Umzugsauktion GmbH & Co. KGLogisticsGermany

A walkthrough video in, a removals quote in seconds

The customer films their own home. Computer vision identifies and counts every object, estimates dismantling, handling and transport time, and returns a priced quote.

Computer VisionObject DetectionDeep Learning
Read case study
AI-Powered LMS — Secure AI-driven e-learning and assessment platform
Flagship

AI-Powered LMS

Security CirclesEducationGlobal

Secure AI-driven e-learning and assessment platform

A scalable learning platform with AI proctoring — eye tracking, person and mobile detection — protecting high-stakes exams.

AngularNode.jsPython
Read case studySee AI-Powered LMS live
SCORA — Security posture assessment without the consultant invoice

SCORA

SCORAEnterpriseGlobal

Security posture assessment without the consultant invoice

A security, compliance and risk assessment platform that scores an organisation against NIST CSF 2.0, ISO 27001:2022 and an SME health check, then returns a prioritised action plan.

Next.jsTypeScriptPostgreSQL
Read case studySee SCORA live
Omnicheck — AI health report generation and lifestyle optimisation

Omnicheck

Swiss healthcare partnerHealthcareSwitzerland

AI health report generation and lifestyle optimisation

Turning user health inputs into comprehensive personalised reports covering microbiome, hormonal balance and lifestyle.

AI/LLMsData AnalyticsReact
Read case studySee Omnicheck live

Bike Fit Data Intelligence

Professional athletesSports TechGlobal

Athlete performance and endurance analysis

Processing biomechanical and positional bike fit data into precise, actionable performance adjustments.

Data AnalyticsPythonReact
Read case study
How we deliver it

The same five stages, every engagement.

01

Discover

We map how the work actually flows today — the handoffs, the workarounds, the spreadsheet nobody admits to. That map, not the org chart, is what we build against.

02

Architect

We design the system end to end before writing production code: data model, integration surface, failure modes, and what happens when the model is wrong.

03

Build

Agile delivery in small teams, working to a documented process. Short cycles, working software, and no six-month gap between kickoff and something you can use.

04

Deploy

Into your environment, against your compliance requirements, with the monitoring and audit trail a regulated operation needs from day one.

05

Operate

Systems drift. We stay on to retrain models, watch the metrics that matter, and keep the thing working after the launch photo.

Bring us the problem.
We will tell you what it takes.