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Custom software

Custom software development, by a product team.

TechFabric builds custom software as product development: web applications, mobile apps, customer portals and internal tools that work with the systems your business already runs on, such as Business Central or Salesforce, with engineering, product and design in one team.

The people who scope the work build it and stay through go-live. 115+ engineers across four offices, averaging fifteen years each.

Most of what goes wrong in a software project happens before anyone writes code, in the gap between the person who understood the problem and the team handed a specification.

We close that gap by not creating it. Athlinks stitched 400M+ athlete records together this way, SWBC doubled the orders its platform processes, and orders placed on AmTab's web store reach Business Central without anyone re-keying them.

2017
FoundedBy engineers
115+
EngineersAcross four offices
80
Databricks-certifiedAn award-winning engineering team
15 yrs
Average experiencePer engineer

What we build

Ecommerce development

A storefront is the easy half. The order it creates has to reach an ERP, a warehouse and a finance system that were not designed together, and that is where commerce projects actually go wrong.

Talk about the commerce stack

Web application development

The demo version of an application and the version somebody uses eight hours a day are different products. The second one needs an admin surface, a way to see why a record looks wrong, and a release process that does not require a Thursday night.

Talk about the application

Mobile app development

Getting version one into the store is the part most teams plan for. Keeping it working through two OS releases, a certificate expiry, a store policy change and a team handover is harder, and it's where the cost actually lands.

Talk about the app

The build is fine. The thing it was for got lost.

Software projects rarely fail on the code. They fail in the distance between the person who understood the problem and the person typing, and it shows up in three ways somebody will recognise.

It matches the document and not the job

Everything in the specification is there, and the people who have to use it every day still open a spreadsheet instead. Nobody lied. The document described a process that had already changed by the time it was signed.

Every question costs a week

The team cannot answer whether something is possible without asking somebody who is in another meeting. Decisions queue, the estimate stops meaning anything, and the status report becomes a work of fiction nobody enjoys writing.

It works until somebody else uses it

The demo runs on one account with clean data. Then a second customer arrives, or a real month of records does, and the parts nobody load-tested turn out to be the parts everything else waits on.

One cause underneath all three. Product, design and engineering were three handoffs instead of one team, so the understanding had to survive being written down, and it never entirely does.

The shift

Three ways to buy software, and what each one buys

Same budget, three shapes. What differs is who is holding the problem when something turns out to be wrong.

Bodies against a specification

Cheap per hour, and expensive per outcome

Spec written
Team assembled
Built as described
Gaps found late
Change requests

An agency and a handover

Polished, and it stops when they leave

Discovery
Designs approved
Build
Handover
Nobody can extend it

A product team that stays

Slower to start, and it is still standing in year two

Problem understood
Thin slice shipped
Real users
Corrected in weeks
Handed over working

What you actually get

Senior people, in your repository, on your board. The list below is what a team looks like rather than what a contract lists.

Product and design inside the team

Not a phase that finishes before engineering starts. The person who understands the problem is in the same standup as the person building it, which is the only reliable way a late discovery becomes a small change.

Engineers who have run what they built

Fifteen years of production experience on average, which mostly shows up as things not happening. Migrations that are reversible, schemas that survive their second year, and an on-call rotation nobody dreads.

A thin slice in production early

One real path, end to end, in front of real users, before the rest is built around it. Everything expensive to be wrong about is cheapest to be wrong about here.

Wired into the systems you already run

An order screen that writes to Business Central, a portal that reads customer history from the CRM, an internal tool over lakehouse tables. When an application depends on systems like those, we connect them through their own APIs in the first sprint, so nothing waits on a nightly CSV export. Where the product belongs beside the lakehouse it runs as a Databricks App, and operations that must never half-complete run on Temporal.

Tests that mean something and a pipeline that runs them

Enough coverage that a change is safe to make quickly, which is a different target from a coverage percentage. The pipeline is yours and it keeps working after we go.

A handover written while the work happens

Decisions recorded where the code is, so the reason for a choice survives the person who made it. A team that cannot extend what it inherited did not get software, it got a dependency.

Built and running

Systems we can name

BZZR

BZZR needed one platform for live games, creator video and podcasts, with analytics on Databricks that tell a club who actually watched, and our senior engineers built it through to production. When the Texas Rangers moved their streaming to it part-way through the 2026 season, existing subscribers came across without signing up again.

Athlinks

Athlinks had more than 400 million athlete records from sources that never agreed on who an athlete was, and a matching run that died halfway through couldn't just start again. Our engineers took the project from prototype to production as a serverless pipeline on AWS with Temporal holding the state. Failed steps now retry on their own, failures reach Slack as they happen, and the matching rules are tuned for each tier.

SWBC

Credit union loan officers quote and book vehicle protection in SWBC's LOSExpress alongside a member's auto loan, but quoting was slow and new staff took too long to learn it. After gathering feedback from SWBC's staff and customers, our engineers and designers rebuilt one of its modules as a single-page application on a new design system. Orders processed doubled, and each loan officer now spends half as long on an order.

iLending

iLending's new loan application had stalled with another developer, running late, over budget and short of features, while call center agents kept turning refinance leads into loans by hand. TechFabric's engineers picked the project up, reviewed what had been built, and rebuilt the app day to day alongside iLending's own developers, automating lead and loan officer assignment, rate sheets and stipulation documents. Manual errors dropped and new agents got productive faster.

All case studies

Product software for companies that needed more than a dashboard.

  • LexisNexis
  • Life Time
  • Funko
  • Verizon
  • SmartCert
  • SRS Distribution
  • ChronoTrack
  • Athlinks
  • BZZR
  • Cyclic Materials
  • Origence
  • SimonMed

FAQ

Custom software development: common questions

What is custom software development?

Building software for one organisation's problem rather than configuring something built for a market. It is worth doing where the process is genuinely yours and a packaged product would mean changing how you work to suit it, and it is usually not worth doing where a well-supported product already fits. We will tell you which one you are looking at.

Is custom software development the same as product development?

For us, yes, and the second name is the more accurate one. A custom build that gets treated as a specification to implement produces software nobody wanted; the same work run as product development has engineering, product and design deciding together and adjusting as they learn.

That is the service at /services/platform, and this page is the front door to it.

Can the application use data from our ERP, CRM or lakehouse?

Often that's the reason it exists. An order screen that writes to Business Central or a portal that reads customer history from the CRM talks to those systems through their own APIs. Where the data has to be landed somewhere first, that's the integration work at /databricks/data-integration.

Where the application belongs next to the lakehouse it can run as a Databricks App with its own tables in Lakebase, governed by Postgres roles, and the analytics side reads them through Unity Catalog, read-only.

What have you built?

A sports platform for BZZR where live games, creator content and podcasts sit under team and talent control. A pipeline for Athlinks stitching more than 400 million athlete records together across disparate sources. A rebuilt LOSExpress for SWBC that doubled the orders it processes. All three have case studies at /case-studies.

How much does custom software cost?

It depends on scope, and any number offered before a scope exists is a sales tactic. What we can commit to is that scoping is a short paid piece of work with a written output, so the estimate that follows is against something specific rather than a wish. Small first engagements are normal and often how a longer one starts.

Do you work with our existing team?

Usually, yes, and it is the shape we do best. Our engineers work in your repository, in your process, alongside your people. Where you have no engineering team yet we will bring the whole one, product and design included.

Who owns the code?

You do, all of it. Where one of our open-source accelerators is involved we say so explicitly and in writing, including what it means for you to keep running it after we leave. They are Apache-2.0 and deployed into your own accounts, so there is nothing to be locked into.

What technologies do you build on?

TypeScript and .NET for most application work, Python where the data and model work lives, on Azure, AWS, Google Cloud and Cloudflare. Databricks where the product belongs next to the lakehouse, and Temporal under operations that must not half-complete. The stack follows the problem rather than a house preference.

Do you take small projects?

Yes. A design system, a component library, one integration or a single service is a legitimate piece of work and often how a longer engagement starts.

What we do best is a product where design, product and engineering sit in one team, so that is what we will suggest when it fits. It is not a condition of working with us.

Where we are

TechFabric is a custom software development company in the Phoenix metropolitan area, founded in Gilbert, Arizona in 2017. We build for companies nationally, and for teams across Phoenix, Scottsdale, Tempe, Mesa and Chandler we can be in the room.

Office

1530 E Williams Field Rd, Ste 201
Gilbert, AZ 85295

Phone

+1 (480) 681-6806

Serving

Phoenix, Scottsdale, Tempe, Mesa, Chandler