Your product works, now make it sellable
AI let someone build you something real, fast. Your own team with Lovable, Cursor, Replit or AI at the keyboard, or a third party who builds with the same AI tools. It works and customers want it. The next questions are bigger than the tools: will the experience hold at real data volumes, will it pass your largest customer's technical due diligence, what should be re-engineered and what should be left alone. Building something that works and engineering it to scale securely are different skill sets. That second skill set is ours.
What you get
Evaluation and Technical Due Diligence
A fixed-price review of your code, architecture and AI layer. What is sound, what is fragile, what is genuinely yours versus rented from third-party AI services, and what your hardest prospect will ask. A deliverable in its own right.
Matched to Your Requirements
Your product tested against what the business needs it to become: the customers you want to win, the features that matter and the obligations that apply to your market. We write the questions your toughest prospect will ask and plan against them.
Design, Build and Re-Engineer
Only what the evaluation justifies. Stabilising the codebase, re-engineering an AI layer that will not survive real data, building the features that close the gap or taking a near-complete product the final step to launch. We keep what is sound.
Proven at Real Scale
Production-sized data loaded before launch, not after, and the experience tested on top of it, because the backend holding is the easy part. On our most recent transformation that meant fifty thousand candidate records and five million match rows, and proving the review workflow stayed fast at that volume.
Independent Security Testing
Before go-live, an independent security firm penetration-tests what we delivered: application, mobile, APIs and AI layer. You go live able to answer the security questionnaire, whoever sends it.
Operations, When You Want It
Most customers ask us to keep running what we shipped: 24/7 support, monitoring and certified operations through Cloud Management. Optional, and the reason our engineering is honest. We operate what we build.
What is included
The Skills
- Solution and infrastructure architecture
- Platform engineering, pipelines and release engineering
- Software engineering across backend, web and mobile
- AI engineering with quality gates and observability
- Quality and security engineering
- Senior technical leadership
The Cadence
- Written progress report every week, hours attached
- Weekly demo of working software, not a status slide
- Readiness tracked as numbers against named lists
- Estimates approved in writing before work starts
The Deal
- Evaluation and defined scope at fixed price
- Build estimates show AI-assisted effort against the traditional equivalent
- You own all the IP on payment
- No billing for work a pending decision could waste
How a transformation runs
Evaluate first, engineer only what the evaluation justifies, prove it before it ships.
Evaluate
Fixed-price review of code, architecture, AI layer and security exposure. If your product is further along than you think, we say so in writing and the work stays small.
Match and Plan
Requirements matched to the customers you want to win. A staged plan with transparent estimates, agreed before anything starts.
Engineer and Prove
Stabilise, build and re-engineer with weekly demos. Tested against production-scale data, the user experience included, then penetration-tested by an independent security firm.
Ship and Operate
Live on a date that holds, with incident readiness in place. Then 24/7 managed operations if you want us to keep running it.
Audited and certified
ISO 27001
AWS DevOps Competency
AWS SaaS Competency
Start with an evaluation of what you have
If your product is further along than you think, we will be the first to say so, in writing.
Case Studies
Real products taken from prototype to production
