Est. 2025  /  Bengaluru, Karnataka

The demo always works.

Commerce Wright is a custom software and digital transformation firm. We build the version that runs on a Tuesday — scalable, secure, integrated with your core systems, and owned by an engineer whose name you know. From mobile apps and cloud engineering to advanced AI and IoT integrations, we build systems that hold weight, not slides.

Book an engineering review See how we work — before you talk to us
Fig. 01 Reference build — custom integration, in production
TRACED END TO END INGRESS / API auth · rate limit APPLICATION BACKEND observable · containerized WEB FRONTEND responsive · dynamic MOBILE FRONTENDS native · offline-first CLOUD DATASTORE encrypted · row-level ACL LEGACY CORE / ERP synchronized INTEGRATION TESTS runs on every commit MONITORING & DEVOPS uptime · latency · logs HUMAN VERIFICATION ON RECONCILIATION

01 — Where it breaks

None of these looked like risks at the time.

Three situations we get called into more than any others. Each one started as a sensible decision made by competent people. If you recognize your own build in one of them, that's the conversation to have.

  1. 01

    The software that only worked in the demo

    It looked beautiful in March. Eleven months later it is still in staging. There was never a strict integration test suite, so nobody can prove it scales to live data — or check if it degrades under load. The primary engineer has moved teams, the board is asking for the system, and the honest answer is that real-world latencies were never measured.

    The cost isn't the prototype. It's the two years of nobody trusting the next proposal.

  2. 02

    The quick-fix that became core infrastructure

    Somebody built a helper app over a weekend and it was genuinely impressive. Now invoices go through it. The API tokens are hardcoded three functions deep, the database step reads a bucket nobody tagged, there are no tests because it was never meant to last, and the deploy is one script on one laptop. Every change now costs a third more than the last one, and that curve does not flatten by itself.

    Speed borrowed at the prototype is repaid, with interest, on every feature after it.

  3. 03

    The update that broke the legacy link

    A third-party provider deprecates the API version you pinned. Or a supplier reformats the inventory feeds you parse. Nothing throws an error — the database records just quietly get corrupted in a way no basic dashboard is watching. You find out from a customer, six weeks in, and then you get to explain to your compliance officer why you cannot reconstruct the transactions.

    Without integration tests, "it got worse" is an argument. With them, it's a failing test on a Tuesday morning.

02 — What we build

Four benches, one team.

An AI feature is a product feature: it needs a frontend, a data path, a deploy pipeline and somebody accountable for it at 3 a.m. Hire four vendors for that and you'll spend the difference translating between them. Pick a bench to see how it wires together.

Fig. 02 Prototype to release — the path

We take the prototype that worked once and make it scale for every user.

  • Native and cross-platform mobile apps (iOS & Android) designed for high performance, deep offline sync, and smooth interactions
  • Modern web applications and Progressive Web Apps (PWAs) built with clean, component-based architectures and fast load times
  • Robust API design and backend services with strict validation, rate limiting, and contract testing
  • Scalable microservices using modern runtime environments (Node.js, Go, Python, and .NET)
  • Clean database modeling (SQL and NoSQL) structured for query efficiency and zero-downtime schema migrations

And what we don't do

  • Off-the-shelf software with no access to the source code. You will pay licensing fees forever and still have to build custom integrations.
  • Feature-bloat. If a simple form, a database query, or a static page solves the business problem, we will build that and tell you to save your budget.
  • Bodies by the hour with no ownership. We staff teams that build and finish systems, not seats on someone else's org chart.
  • Systems without automated test coverage. If we cannot write tests to prove the software works, we cannot guarantee it will survive production, and we will not sign the contract.

03 — How we work

Discovery. Design.
Build. Support.

Borrowed from people who build things that hold weight. Every stage ends in something you keep, whether or not you keep us, and nothing is scoped before the Discovery has told us what's actually there. After that the work takes one of three shapes — a defined-scope project, a standing squad, or one engineer embedded in your team.

01

Discovery

We sit with the people who do the work and analyze your workflows. What the software is, what the data actually looks like as opposed to what the docs claim, where the process bottlenecks are, and what "success" would mean in measurable KPIs. We gather requirements, perform technical feasibility audits, and build a strategic roadmap.

You get A strategic roadmap, a ranked list of what to build with an honest scope, and a shorter list of what not to build.

More than once we've finished a Discovery and said the answer isn't a new build — it's a rules engine, a schema change, or hiring one person. You keep the document either way.

02

Design

Target architecture, database schemas, API contracts, and UI/UX wireframes — every assumption written down before anyone builds against it. It is also where the integration test suite is defined: the exact user flows and inputs the system has to get right, agreed with the team before a line of code exists.

You get A technical blueprint, database and API schemas, and UI wireframes ready to build against. Not a slide deck with a robot on it.

03

Agile Build

Two-week sprints, demoed to whoever will have to live with it. The test suite runs from the first sprint and nothing builds past a failing test, so quality is a chart rather than an opinion. Anything database-heavy runs in shadow against real workloads before it handles live transactions — the first time it meets production is never the first time it matters.

You get Iterative working software, access to the active repositories, the test history in full, and a sprint progress report that is honest about the weeks it slipped.

04

Support

Enterprise software doesn't hold still. Cloud providers deprecate APIs, external services change response shapes, and users input values nobody anticipated. We watch error logs, response times, database drift, and dependencies. Thirty minutes a month with the same engineer, not an account manager reading a dashboard for the first time in the car park.

You get Ongoing performance optimization, security updates, error monitoring, and thirty days' notice in either direction.

04 — Proof

The constraint that made each job hard.

Confidential client · Hyperlocal delivery · Under NDA

A 15-minute delivery network built to survive its own demand spikes

Constraint The client can't be named. The problem can: dense urban zones where order volume triples in a ten-minute window, served by a dark-store network that has to rebalance stock before anyone notices it's short.

We built the order-routing and inventory layer that decides, in real time, which dark store fulfills an order, rebalancing stock across the network as orders land instead of on a nightly batch job. Every routing decision is logged so ops can see why an order went to store B instead of the nearer store A. Remaining scope stays under NDA.

Confidential client · Ecommerce · Enterprise scale

A conversational frontend an enterprise catalog could stand behind

Constraint A product catalog and order system too large, and too load-sensitive, to hand to an off-the-shelf bot.

We integrated DesignFlow, a conversational AI platform, directly with the client's catalog, inventory and order-status APIs, so it answers from live data instead of a script. Handoff to a human agent carries full conversation context, so the customer never repeats themselves.

Confidential client · Real estate · Land & asset management

One system of record for land parcels, titles and asset value

Constraint Parcel records, ownership documents and valuation history were scattered across spreadsheets, PDFs and regional offices, with no single place to check what the company actually owned.

We built a land and asset management platform: a parcel registry with document attachments, ownership and valuation history, and role-based access so regional teams see their own holdings while leadership sees the full portfolio.

Confidential client · Import / export · Container operations

Knowing where every container is, without calling the port

Constraint Container status lived in whichever system the shipping line, the port and the freight forwarder each happened to use, so "where is our container" meant phone calls.

We built a container management system that ingests status updates from carrier and port feeds and gives the ops team one screen for location, customs status and demurrage risk per container, with alerts before a free-time window expires.

Confidential client · Logistics · Last-mile delivery

A driver app and dispatch console for last-mile delivery

Constraint Dispatch ran on phone calls and a shared spreadsheet, so route assignment and proof of delivery had no audit trail.

We built a last-mile logistics app: route assignment and optimization for dispatch, a driver mobile app for navigation and proof-of-delivery capture, and live status back to both the dispatch console and the customer.

05 — Who's on it

Decades of experience, not headshots.

Every engagement is staffed by an architect, a DevSecOps lead, and engineers who've done this for years, not a first-year account handler reading from a deck.

  • Principal Architect

    Custom Software · 16+ years

    Over sixteen years of experience, most of it in regulated environments. Owns the core testing and database architecture for every engagement, and the opinion that clean database design — not framework choice — decides whether a system is any good.

  • DevSecOps Lead

    Security & Infrastructure · 14+ years

    Over fourteen years hardening pipelines and infrastructure, with a background in digital forensics. Owns vulnerability testing, SQL injection and auth-bypass checks, and CI/CD security gates across every engagement.

  • Engineering Team

    App & Platform Development · 6–8 years

    Six to eight years each, earned working with global clients across time zones and compliance regimes. Covers the legacy applications nobody wants to touch — no tests, one deploy script, an integration that only runs on Tuesdays — and is usually the reason a migration actually finishes.

06 — Start here

An engineering review takes forty minutes.

No deck. An engineer, your system, and a list of what we'd look at first. If the answer is that you don't need AI for this, or don't need us yet, that's what you'll hear — it's happened often enough that we stopped being surprised by it.

Request an engineering review

Goes to a shared inbox the team reads. Replies inside one business day, usually the same afternoon.