Four disciplines. One standard.
Product Engineering & Design
Production software engineered across every layer of the stack - frontend, backend, infrastructure, and design - by the same senior team from architecture through deployment.
Mobile App Development
Native and cross-platform mobile applications engineered for performance, scalability, and long-term maintainability.
Web App Development
Full-stack web applications optimized for speed, accessibility, and production-grade reliability.
UI/UX Design
Research-driven design that translates business objectives into clear, intuitive interfaces.
Backend & Infrastructure
Scalable APIs, service architectures, and cloud infrastructure engineered for reliability and growth.
Machine Learning & AI Systems
Production ML systems built by founders with PhDs and patents in the field. Every model ships with monitoring, retraining infrastructure, and measurable business outcomes defined before the first experiment runs.
Predictive Analytics
ML pipelines that convert historical data into reliable forecasts your team can trust and act on.
Computer Vision Systems
Image and video analysis pipelines for detection, classification, and segmentation at production scale.
Recommendation Systems
Personalisation engines built on collaborative filtering, content-based models, and hybrid approaches.
AI Agents & Automation
Custom agent systems and automation workflows powered by large language models for complex, multi-step tasks.
Data Engineering & Analytics
Algorithmic builds data platforms, analytics systems, and infrastructure end-to-end - architecture, pipelines, analytics, dashboards - with one senior team that owns the entire system.
Data Analytics & Business Intelligence
Analytics infrastructure and dashboards that give your organisation a single source of truth for every decision.
Data Infrastructure & Integrations
Resilient data systems engineered for throughput - ingestion, streaming, orchestration, and cross-system synchronisation.
Strategy & Advisory
Technical certainty is a prerequisite for capital deployment. Our advisory practice is led by the same senior engineers who ship our production systems, offering a builder-first perspective on your roadmap grounded in what we have delivered. For teams that need ongoing technical leadership, we also offer embedded advisory and fractional CTO engagements.
AI Readiness Assessment
A structured evaluation of your data, infrastructure, and team to determine where AI will deliver measurable returns.
Feasibility Studies
Technical assessments that validate your product hypothesis before you commit capital.
Technical Due Diligence
Independent technical assessments that give investors, acquirers, and founders an honest verdict on a codebase before capital changes hands.
We offer both fixed-price and time-and-materials models depending on how well-defined the scope is. Fixed-price works best for clearly scoped builds with defined deliverables. Time-and-materials suits projects where requirements will evolve as we learn together. We recommend the right model during our initial assessment and are transparent about the trade-offs of each.
We expect it. Our sprint structure is designed to absorb scope changes without derailing timelines. We re-scope at sprint boundaries, re-estimate transparently, and adjust the delivery plan accordingly. There are no change orders or surprise invoices.
Yes. We offer structured post-launch support including monitoring, bug fixes, performance optimisation, and feature iterations. Support is scoped separately from the build engagement and can be structured as a monthly retainer tailored to your needs.
That is exactly what our AI Readiness Assessment and feasibility studies are designed for. We evaluate your data quality, infrastructure maturity, and team capability before recommending whether to proceed with a full build. This ensures you invest in ML only when the foundations are in place to deliver measurable returns.
We hold weekly sprint reviews with working demos at a time agreed upon together. You also get a shared project board with real-time visibility into task status, and direct access to the engineers doing the work. There are no project managers acting as intermediaries between you and the people building your system.