Senior software & product engineering studio
Software built around the way your business actually works.
We design and engineer custom platforms, operational systems and ecommerce experiences — the software that runs the parts of a business no off-the-shelf tool ever fits.
ORDERS · TODAY
1,482
FULFILMENT
96.4%
THROUGHPUT · 14 DAYS
Demo data — illustrative interface, not a client system
Product proof
See what we build.
One platform, three audiences. The same data model resolves into different surfaces depending on who signs in — this is the part clients usually discover too late.
Executive overview
Aggregated reads, materialised nightly. No operational detail, no write access. All figures are demo/reference data.
REVENUE · QTD
€ 4.28M
ACTIVE ACCOUNTS
2,140
RETENTION
91%
REVENUE BY CHANNEL
How this is built
One schema, three read models
Executive views hit a materialised aggregate; operations reads hit the live tables.
Permissions in the query layer
Row scoping is enforced server-side, so the UI can never over-fetch.
Audited writes
Every mutation is an event with an actor, a reason and a reversal path.
Selected work
Published once the client says yes.
We only publish work we're cleared to disclose. Below is the structure every Techspark case study follows, and the engineering background behind the studio.
Case study slot
Awaiting disclosure approvalPROBLEM
What the business could not do, in their words. The operational cost of the status quo — stated, never estimated.
APPROACH
The architecture and the two or three decisions that mattered most, including the ones we'd defend in a review.
RESULT
What changed for the business, in figures the client has confirmed and approved for publication.
TECHNOLOGY
The stack, and why it was the right call for this problem rather than the default one.
Each published study gets a dedicated page. Nothing appears here until the client has approved the detail.
Engineering background
What the studio is built onCONSUMER ECOMMERCE
High-traffic storefronts where catalogue, subscriptions and hardware sales have to agree, and a checkout regression is felt immediately. React front ends against Java services.
PRODUCT ENGINEERING
Next.js and TypeScript products shipped fast without trading away the structure they need six months later — rendering decided per route, a typed data boundary, a component layer small enough to stay consistent.
OPERATIONAL SYSTEMS
Internal platforms and integration work: queues, retries, audited writes, and the reporting layer the business actually asks questions of.
- Java
- React
- Next.js
- TypeScript
- PostgreSQL
Disclosure
This experience was delivered in senior engineering roles at other companies — not as Techspark client engagements. Named references and specifics on request, where they're cleared to share.
No client names, metrics or technical detail are published without written approval.
Services
Five kinds of engagement.
01
Custom business software
The system your process actually needs, when the market only sells you 70% of it.
02
Operational platforms
Work orders, inventory, scheduling, approvals — the internal spine of the business.
03
Ecommerce
Catalogue, cart and checkout treated as a revenue path, not a page template.
04
Automation
Removing the manual step that everyone has quietly agreed to keep doing.
05
Product engineering
Web applications built to survive their own roadmap.
Engineering capabilities
How a Techspark platform is put together.
Five layers, from the browser down to the systems you already run. Pick a layer to see it in plain language — no background required.
Layer 01 · Edge & delivery
How fast the thing feels when someone opens it.
Caching, routing and image handling are decided per route rather than left to defaults, so pages arrive quickly on real networks and real devices.
Decisions we make up front
- Which pages are cached, and for how long
- Where images are resized and served from
- A performance budget agreed before build starts
CDN · SSR / ISR · Core Web Vitals
What you notice: pages that load in under a second instead of three, on a phone, on mobile data.
Process
Six phases, no mystery.
Every engagement runs the same sequence.
- 01
PHASE 01
Discovery
What the business does, where it loses time, what success looks like in numbers.
Output · problem statement, scope, constraints
- 02
PHASE 02
Architecture
Data model, boundaries and integrations agreed before a screen is drawn.
Output · schema, service map, integration plan
- 03
PHASE 03
Design
Flows first, then interface. Designed against real data, not lorem ipsum.
Output · flows, key screens, component set
- 04
PHASE 04
Engineering
Shipped in vertical slices you can use, review and redirect.
Output · working software, every iteration
- 05
PHASE 05
Launch
Migration, monitoring, rollback plan, and people who know how to run it.
Output · cutover plan, dashboards, handover
- 06
PHASE 06
Evolution
The system keeps changing because the business does. Planned for, not patched.
Output · roadmap, support model, review cadence
Labs
Things we build to find out.
Working experiments, not case studies. Each one exists because a client question needed a real answer.
Why trust this
Evidence, not adjectives.
No invented testimonials, no borrowed logos, no metrics we can't source. Dashboard figures on this page are demo data, and client work appears only once it's approved for disclosure.
Consumer-scale ecommerce
Java + React on high-traffic storefronts, in prior senior roles.
Modern product engineering
Next.js and TypeScript products built to keep changing.
Senior and engineering-led
A studio, not a consultancy bench. You talk to the person writing the code.
Have a system in mind?
Tell us what the business needs to do, and what's currently in the way. We'll come back with an architecture, a sequence and a cost — before anyone signs anything.
Typical reply within one working day.
Contact details — to be confirmed
Placeholders left deliberately blank — nothing invented. Swap in real details before publishing.