E-Business Lab is a founder-led engineering studio. You work directly with a CTO-level engineer who has shipped AI systems used by thousands — not with a sales layer and a junior team.
Fixed-price services
Every engagement is scoped, priced, and deadlined before we start. You know exactly what you get and what it costs.
Know exactly where AI pays off in your business — before spending on development.
One working AI feature, live in your product, two weeks after kickoff.
Stop paying staff hours for work a machine does better. Built on n8n, Make, or custom code.
A CTO-level engineer embedded in your team — without the full-time cost.
Track record
Results from production systems — built or led end-to-end.
Architected an AI-powered event repository with automated curation, quality & curiosity scoring, spam detection, multilingual enrichment — with strict schema validation and token-cost control.
Led product for a regulated payment wallet: systematic UX and stability programme, mini-app ecosystem launch, RBAC and audit logging in a compliance-heavy environment.
Solo-built AI coaching platform: personalised training plans generated in under 15 seconds via vector search, offline-first and privacy-first architecture, live on Google Play.
Digital punch-card platform — QR + web wallet, no customer app needed. Stripe billing, fraud prevention, audit logging, GDPR-compliant by design.
How it works
You describe the problem. I tell you honestly whether AI is the right tool — and if it isn't, I'll say so. No pitch deck.
You get a one-page proposal: what will be built, what it costs, when it ships. Signed off before any work starts.
Progress updates every 2–3 days with working demos — not status meetings. You see the feature evolve in your own environment.
Production deployment, handover documentation your team can actually use, and 30 days of included support after launch.
Why E-Business Lab
Data minimisation, EU hosting options, and sanitisation layers before any data reaches an LLM. Compliance designed in — not bolted on after a lawyer's email.
The person on the call is the person writing the code — with 20+ years of engineering and CTO/product leadership across fintech, AI, and SaaS.
Structured outputs validated against schemas, cost monitoring, fallbacks and retries. AI features that survive contact with real users and real invoices.
The founder
Software engineer, product leader, and CTO with a 20+ year career across enterprise platforms, fintech, XR, and AI. I've led 6-person engineering teams, owned product roadmaps in regulated environments, and shipped my own products solo — from architecture to Play Store.
E-Business Lab is how I work with clients: direct, senior, and accountable. No account managers, no outsourced juniors, no black boxes.
FAQ
The scope is fixed before kickoff — that's the point of the proposal step. If discovery reveals it's genuinely bigger, you decide: trim to fit the sprint, or split into two sprints. The price of a committed sprint never changes mid-flight.
OpenAI, Anthropic, and EU-hostable open models — chosen per project based on your data sensitivity, latency, and cost requirements. Model choice and version are pinned and documented.
Usually yes — with a sanitisation layer that strips or pseudonymises personal data before it reaches any API, plus EU hosting where required. This is a core specialty, coming from regulated fintech work.
Yes — that's the retainer. Most clients start with an audit or a sprint, then continue monthly once trust is established.
I do. For larger engagements I bring in vetted senior specialists I've worked with before — never anonymous outsourcing.
Reply within one business day. If AI or automation isn't the right answer for your problem, I'll tell you that too — for free.
contact@ebusinesslab.tech