Agents that do real work, the automations that remove the busywork, and the apps and sites around them. All shipped to production in weeks.





ConstructPhiiHealth Marketing




ConstructPhiCommerce platforms, custom software, automation and AI systems shipped across consumer health, property and B2B — and still running.
Engineers, designers and delivery leads working across our own brands and client builds. Senior enough to own a build end to end, small enough that you always know who has yours.
From founders shipping their first platform to established brands replacing a system that stopped keeping up with them.
Someone is reachable when it matters. Support runs on defined severities and named response times, not on best effort.
Registered 02 May 2023, Maharashtra
DGFT, issued 17 May 2023
Registered firm, not a sole trader
18 years of delivery; registered as a partnership May 2023
Run through our own manager account since 2019. Not a figure from a case study — it is the account total, across every brand we have held the budget for.
served across the managed accounts
delivered against that spend
tracked and attributed
as the Intelus Technologies agency
Five practices, one team. Engineers who design, so nothing is lost between the person who drew it and the person who has to make it work.

We compete on the things that actually decide whether a build succeeds: senior people who stay on it, systems that survive production, and a defined outcome attached to every engagement.
You get engineers who have shipped this before, not a team learning on your budget. The person who scopes the work stays on it through delivery, so nothing is lost in translation between the pitch and the build.
A demo that works once is not a system. We ship things that survive a Tuesday: retries, failure paths, monitoring, and a defined escalation when something breaks at 11pm.
Subscriptions, bundle ladders, quiz-led recommendation, loyalty and guarantee mechanics — built and live across multiple consumer brands. We know which of these move revenue and which just add a banner.
Agents and automations wired into the tools you already use, measured like systems: latency, failure rate, cost per task. If a workflow does not get cheaper or faster, it does not ship.
Tight scope, short loop, working software in front of you early. The first useful version lands in weeks and goes to real users, rather than sitting on a staging URL nobody visits.
We run our own platforms and internal AI infrastructure. Carrying our own latency bills and our own on-call is what keeps the advice honest.

You either learn it, or you delegate it. We do both well.
No reveal at the end. You get a live environment early and it updates weekly, which is when scope disagreements are still cheap to have.

We map how the work actually happens today — the spreadsheet, the copy-paste, the person who knows the thing. The bottleneck is rarely where the brief says it is.

Data model, integration points and failure modes decided before a line of product code. Boring at this stage, cheap compared to discovering it in month three.

Wireframe to high-fidelity in the real design language, on real content. We design against the actual copy and the actual data, never lorem ipsum and a happy path.

Short sprints against a working deploy. You see it moving weekly rather than receiving a reveal at the end, which is when scope arguments get expensive.

Load, security, accessibility, and the edge cases that only show up with real traffic. Analytics and error tracking wired before launch, not bolted on after the first incident.

Deploy, watch, tune. We stay on for the period where the real problems surface, and hand over with documentation a new engineer can actually follow.
The scale changes what matters — a percentage point of conversion for one, a licence number above the fold for another. The standard underneath does not change.

Multi-product businesses selling direct at volume, where a percentage point of conversion is a real number.

Firms with a long track record and a market position to defend, where the site carries the credibility.

Professional firms whose registrations and turnaround are the product, and whose site has to prove both fast.
Sample reviews. These are placeholder people and quotes, shown to judge the layout while real client recommendations are being collected.
Recommendations written by the founders, colleagues and clients who were actually there. They name Amit, because he is who they dealt with — and the work behind every one of them was delivered by the team he leads at Intelus. Name, role, relationship and date attached to each; we wrote none of it.
“We had spent two years being told our numbers were fine and never being able to act on them. Intelus rebuilt the whole attribution layer — tracking, identity resolution, the reconciliation against every platform we sell on — and within a quarter we could finally see which spend was actually earning. We moved a third of our budget on the back of it.”
Marketing attribution across a multi-brand D2C group.

Storefronts built around how people actually buy.
Agents that do the work nobody wants to staff.
The software your business runs on — web, mobile, and the wiring between everything.
Technical growth work, not a monthly report.
We build the model, then teach your team to run it.
Intelus is founder-led. The people who scope the work stay on it through delivery — no handoff theatre, no junior pool, no PM telephone. We've shipped AI into production before, and we measure it like systems: latency, failure rate, cost per task.
A founder reads it and replies within a day. If we are not the right fit we will say so, and usually point you at who is.