Services

Here is what we actually build.

Four service areas. All AI-focused. All built for businesses that need software that actually works in production — not another pilot.

Custom Software Development

We build web applications, APIs, and AI-powered products from scratch — designed for your specific business requirements, not adapted from a generic template.

Next.jsPythonFastAPIPostgreSQLLLMsREST / GraphQL

What you get

Production-ready web and mobile applications
AI features integrated into your existing product
Custom internal tools that replace manual workflows

Software Consultancy & AI Strategy

We help you make the right technology decisions — architecture reviews, AI adoption roadmaps, technical due diligence, and team upskilling.

Architecture reviewAI roadmappingTech due diligenceVendor selectionTeam upskilling

What you get

Clear AI adoption strategy with measurable ROI projections
Architecture decisions that don't come back to bite you
Technology selection grounded in your actual context

Analytics Implementation

We implement the tracking, pipelines, and dashboards that give you real visibility — enhanced with AI-driven insights and anomaly detection.

GA4BigQueryLooker StudiodbtMixpanelServer-side GTM

What you get

Full attribution visibility across all marketing channels
AI-powered anomaly detection and forecasting
Executive dashboards that answer real business questions

Cloud Implementation

We design and deploy cloud infrastructure built for AI workloads — scalable, secure, cost-optimised, and ready for production ML systems.

AWSGCPAzureTerraformDockerKubernetes

What you get

AI-ready infrastructure designed from the ground up
MLOps pipelines for model deployment and monitoring
Cloud cost optimisation without compromising performance

All capabilities

Four areas of specialisation.

Software Development

Software

Custom web applications, APIs, and AI-powered products built for your specific requirements — from MVP to production scale.

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Software Consultancy

Strategy

Architecture reviews, AI adoption roadmaps, and technical strategy — so your team builds the right things in the right order.

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Analytics Implementation

Analytics

GA4, BigQuery, server-side tracking, and AI-enhanced dashboards — the full analytics stack, implemented correctly.

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Cloud Implementation

Cloud

AWS, GCP, and Azure infrastructure designed for AI workloads — MLOps pipelines, scalable architecture, and cost optimisation.

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Not sure which applies to you?

Most clients start with a single problem and we scope from there. Tell us what you are trying to solve and we will tell you what it takes.