Who we help, and how the work changes
A seed-stage startup and a 500-person enterprise both need good engineering, but they need it delivered very differently. Here is how we adapt — and the sectors where we already understand the domain.
Startups
You need something real in front of users or investors, and you need it before you can justify hiring a full engineering team. Speed matters — but a demo that collapses under the first ten real users costs more than it saved.
We build MVPs that are genuinely deployable: proper authentication, a sane data model, and code your first in-house engineer can pick up without rewriting.
Typical engagement: fixed-scope MVP over 6–12 weeks, then a small dedicated team for ongoing iteration.
MVP Development
A scoped, working first version — not a prototype you have to throw away.
AI Integration
AI features that hold up in front of users, with evaluation and cost control built in.
Product Engineering
Continuous iteration with a team that owns delivery while you own the roadmap.
Business Automation
Take the repetitive back-office work — data entry, approvals, reporting — off your team's plate.
ERP
Sales, purchase, inventory and reporting in one system instead of five spreadsheets.
Mobile Apps
Field, sales and customer apps that work offline and sync when connectivity returns.
SMEs
The bottleneck is rarely the product — it is that the business runs on manual processes and data spread across tools that don't talk to each other. Every question takes an hour of spreadsheet work to answer.
We consolidate the operational data, automate the highest-volume manual steps, and give managers reporting they can trust without asking anyone to rebuild it each month.
Typical engagement: phased module rollout with a support plan, so the team adopts one change at a time.
Enterprises
The constraint is usually capacity and specialist skills, not budget. Hiring a senior AI engineer takes months; the roadmap needs one now. Meanwhile a decade-old internal system is holding back three other initiatives.
We add engineering capacity that works inside your process and security requirements, and we modernise legacy systems incrementally rather than proposing a risky rewrite.
Typical engagement: dedicated monthly team, or a fixed-scope modernisation programme with defined migration stages.
Dedicated Teams
Embedded engineers under your process, your security policy and your delivery leads.
AI Automation
Applied to the high-volume internal workflows where the return is easiest to measure.
Legacy Modernisation
Strangler-pattern migration: move one capability at a time, keep the business running.
Sectors where we already know the domain
Domain knowledge shortens discovery. These are the areas where we have shipped working systems.
Tax & Compliance
Statutory e-invoicing integration, validation rules, audit trails and reporting for regulated filing.
Retail & Distribution
Inventory across locations, purchase and sales workflows, asset tracking and operational reporting.
Insurance & Fintech
Policy administration, document processing, approval workflows and record-keeping under audit.
Education
School and institution management, attendance, results, parent communication and admin portals.
Automotive
Dealer management, vehicle inventory, service scheduling and customer records.
Consumer Apps & Games
Published mobile applications with rewards, in-app purchases and engagement analytics.
Not on this list? The engineering transfers. Tell us the domain and we'll be straight with you about how much discovery it would take.
Ready to Build Your Next AI Product?
Book a free 30-minute call. We'll go through your requirements and tell you what it would realistically take to build.