Lead practice · Custom Product Builds

From idea to production, in weeks, with the architecture to last.

Portals, internal tools, SaaS products and mobile apps, engineered AI-native with clean architecture and senior review throughout. A two-week Discovery Sprint turns the idea into a prototype and a fixed price; weekly working builds take it to production.

Web applicationsiOS & AndroidPortals & SaaSAPIs & integrationsAI featuresSalesforce
An Expericia engineer building a feature: code on the laptop, the application on the monitor
What we deliver

Working software, not a slide deck.

We take products from a sketch to something your customers use, and we stay to grow it.

Discovery Sprint

Two weeks that end in a clickable prototype, an architecture and integration map, a fixed scope and a fixed price. Credited against the build.

Web applications

Customer portals, internal tools, SaaS products and marketplaces on .NET, Node.js or Python back ends with React, Next.js or Angular front ends.

Mobile apps

iOS and Android apps that share APIs, identity and data with your web product, so one change ships everywhere.

Portals and dashboards

Student, member, partner and employee portals with role-based access, and the Power BI or custom dashboards that sit behind them.

Integrations and APIs

ERP, CRM, payment, identity and partner systems connected through clean, documented APIs; MuleSoft where the estate calls for it.

AI features, done properly

Search, summarisation, document understanding, agents and assistants built on your data, with evaluation, guardrails and cost controls before anything reaches a user.

Salesforce

Sales Cloud, Marketing Cloud and Experience Cloud implementations when the product you need is a CRM done right.

Modernisation

A legacy system rebuilt a slice at a time, behind the same front door, with the data migrated and the users none the wiser.

Run and grow

Hyper-care after launch, then a dedicated team or retainer for the roadmap. We build and run our own product, ClinQ HMS, so we know what a live system needs.

Platforms we build on

Chosen for your business, not our habit.

All platforms →
A typical architecture

Clean architecture, so the product outlives its first version.

Every build separates what the business does from how it is delivered and stored. That is what lets a product gain a mobile app, an AI feature or a new integration without a rewrite. The team runs internal sessions on exactly this; the photos on this site are from them.

Experience

Web app: React, Next.js, AngulariOS and Android appsPortals with role-based accessDashboards and reports

Domain and APIs

Business rules, kept framework-freeDocumented APIsIdentity and permissionsAI services with evaluationBackground jobs and workflows

Data and infrastructure

SQL Server, PostgreSQL, MySQLClickHouse for analytics at scaleAzure or AWS, infrastructure as codeERP, CRM and partner systemsObservability and backups

The dependency rule: inner layers know nothing about outer ones. It sounds academic until the day you swap a vendor and nothing else changes.

Proof

Built, shipped, measured.

All work →
Illustration of the leadership dashboard and the student portal
Portal · BI · with a partner agency

Singapore online education provider

A Sitefinity portal with an Angular front end for students and staff, a CMS migration, and Power BI dashboards that gave leadership the numbers they were missing.

30%faster go-to-market
40%higher engagement
Read the case study →
Illustration of the admissions pipeline with lead scoring and response-time tracking
Salesforce CRM · with a partner agency

Leading Singapore university

Sales Cloud and Marketing Cloud with MuleSoft integration: centralised inquiries, automated lead scoring and nurturing, and real-time dashboards for admissions and marketing.

40%faster response to inquiries
Read the case study →
Illustration of the member portal: one account across several clubs, bookings and events in one place
Content platform · multi-site · with a partner agency

Singapore social facilities provider

One enterprise content platform for a network of recreational and member clubs, with a role-based NSMen portal and Singapore data-compliance requirements built in.

35%faster system performance
40%higher member engagement
Read the case study →
Integrations we have done

The systems your build has to talk to.

Named systems we have connected on client projects. If yours is not here, ask; most have an API, and the ones that do not have a file drop.

SAPEpicorSalesforceMuleSoftMicrosoft 365 and Entra IDPayment gatewaysPower BIAnthropic, OpenAI and Azure OpenAI APIs
How a build runs with us

In weeks, with a working build in your hands every one of them.

WEEKS 1 TO 2

Discovery Sprint

Users, journeys and constraints into a clickable prototype; the architecture and integration map; a fixed scope and price. What you get.

FROM WEEK 3

Build, AI-assisted

Thin end-to-end slices first, so the riskiest integration is proven early. Weekly working builds on staging, reviewed with you.

CONTINUOUS

Senior review and gates

Tests, static analysis, dependency and secret scanning on every change, then a senior engineer's review. AI features pass an evaluation set before release.

GO-LIVE

Launch and roadmap

A rehearsed release with rollback, hyper-care, then the same team on the roadmap as a retainer or a dedicated team.

Why Expericia

Senior-led, AI-native, accountable end to end.

We run a product ourselves

ClinQ HMS is built and operated by this team. We know what a live system needs because we carry the pager.

23 years of judgment

Founder-led, with enterprise and Fortune 500 experience behind every architecture decision.

AI-native speed

Prototypes in days, production in weeks. The repetitive work is generated and checked; the judgment calls are made by people.

One team throughout

The engineers in the first workshop are the engineers on the go-live call, and after it.

Questions we hear

Before you get in touch

How do you give a fixed price for something that does not exist yet?

By making it exist first, as a prototype. The Discovery Sprint turns the idea into clickable screens, an architecture and a written scope; the fixed price is attached to that scope. Changes after that are priced as changes, which is what keeps the original number honest.

Which stack will you use?

The one your team can run after we leave. .NET and SQL Server where you are a Microsoft shop; Node.js or Python with PostgreSQL where you are not; React, Next.js or Angular on the front end; Azure or AWS underneath. We write the reasons down so the choice can be audited later.

Can you add AI features to a product we already have?

Yes, and it is usually the fastest route to value: search, summarisation, document understanding or an assistant on top of data you already hold. We build an evaluation set before the feature, so you know how good it is before your users do.

Do we own the code?

Yes, in full, on payment, including the prototype and architecture from discovery.

What if we only need extra hands on our existing codebase?

Ask about a dedicated team: a stable group of engineers who work in your tools, under your review process, and stay.

How small or large a build will you take?

From a focused internal tool to a multi-tenant SaaS platform. Below a Discovery Sprint's worth of work, a conversation is enough to quote; above it, the sprint is where the risk is taken out.

Have an idea that needs to be real by next quarter?

Bring the problem. In two weeks you will have a prototype, an architecture and a fixed price, and a team that can start the Monday after.

WhatsApp