
SwingSmith
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.
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.

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.

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.
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.

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.

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.

AI health report generation and lifestyle optimisation
Turning user health inputs into comprehensive personalised reports covering microbiome, hormonal balance and lifestyle.
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.
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.
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.
Into your environment, against your compliance requirements, with the monitoring and audit trail a regulated operation needs from day one.
Systems drift. We stay on to retrain models, watch the metrics that matter, and keep the thing working after the launch photo.