Custom Software Development
The system your business already runs on, finally written down.
Custom development is what you do when the process is the product: when the rules, the exceptions and the vocabulary of your operation are the reason no vendor’s system quite fits. You get software shaped to how the work is actually done, owned by you, with no per-seat tax on growth and no vendor deciding what your roadmap is this quarter.
- Typical reduction in manual handling steps
- 40–70%Typical reduction in manual handling steps
- From decision to first production release
- WeeksFrom decision to first production release
- Per-seat licences on the system you own
- 0Per-seat licences on the system you own
Sounds like
You might recognise one of these.
Our whole scheduling process lives in one spreadsheet, and one person understands it.
We pay for a platform that does 60% of what we need and blocks the other 40%.
Every new customer takes three weeks of manual setup that shouldn’t exist.
We’ve outgrown the tool we started on and migrating means rebuilding anyway.
What this includes
The work, specifically.
Not every engagement needs all of it. This is the range we cover and what each part is actually for.
Domain modeling
We start by writing down the nouns and verbs of your business (loads, work orders, claims, assets, shifts) and the rules that govern them. Getting this right is the difference between software that lasts a decade and software you replace in three years.
Workflow & rules engines
Approval chains, exception handling, SLA clocks, pricing logic. We build the rules as configuration your team can change, rather than as code that requires us every time a policy shifts.
Back-office and operations tooling
The unglamorous screens where the work actually happens: queues, bulk actions, audit trails, overrides. We design these with the same care most firms reserve for marketing pages, because your team lives in them eight hours a day.
Reporting that survives an audit
Immutable event history, point-in-time reconstruction, and exports that match to the penny. If a regulator or a customer asks why a number changed, the system answers.
Multi-tenant and white-label products
If your custom system becomes something you sell, we build for that from the start: tenant isolation, per-tenant configuration, usage metering and billing hooks.
What you get
Deliverables, not documents.
- A build, buy or extend recommendation naming the products we considered, including the ones that would have covered part of this
- A working, deployed application, not a prototype
- Infrastructure as code and a one-command environment setup
- Automated test suite covering critical paths
- Architecture decision records explaining every significant choice
- Runbooks for the on-call scenarios we can foresee
- Source code and infrastructure in accounts you own, from day one
Shapes
How this usually runs.
Discovery
2–4 weeksFixed fee. We map the process, model the domain, prove the riskiest technical assumption with real code, and hand back a scoped plan and a range you can budget against.
First release
8–16 weeksA cross-functional team ships a genuinely useful slice into production. Not a pilot: real users, real data, real load.
Continuous delivery
OngoingA steady team on a monthly cadence, shipping weekly, with a roadmap you set and can change at any sprint boundary.
Tooling
What we build it with.
No tool here was picked because it was new. Where we do reach for something novel, it is in one place, for a stated reason, and it is written down.
- Languages
- Backends
- Data
- Frontend
Proof
Where this has been done.
- 2024About four weeks
The scanner read every barcode except theirs
They had no way to say who was holding what, and a barcode scanner that would not decode their own label format — the capability was licensed separately and they had declined to buy it. Writing the decoder in C cost less than the licence and made the rest of the system possible.
Read the case study- Trackable, in and out, by holder
- Every item
- Bought to read their own labels
- No licence
- 2023–202520 months, four phases
One codebase for the public site and the platform behind it
A public-facing site and an internal student-tracking platform, built years apart on stacks nobody still owned. We consolidated them into one application with one design system and one authorization model, and shipped it without a production regression.
Read the case study- Production regressions across the release window
- 0
- Unit and integration tests at handover
- 600+
Questions
Custom software, honestly.
Often, and we’ll say so. Buy when the process is a commodity: payroll, email, general ledger. Build when the process is how you win. The honest test is whether a competitor could buy the same license and get the same result. If yes, buy it.
You do, unconditionally, from the first commit. It lives in your repository and deploys to your cloud accounts. There is no escrow arrangement, no runtime licence and no clause that makes leaving expensive.
We plan for it from the start. Your team is in the codebase throughout, documentation is written as we go, and the last phase of every engagement is a deliberate hand-off with paired work and a support window.
Further reading
What we think about this, at length.
- Security5 min read
TX-RAMP § 6.2: the exemption a custom build may already have
A Texas university asks for your TX-RAMP certification and the project stops for a quarter. For software the institution commissioned, the program manual says certification does not apply — and then attaches four conditions that decide whether you actually get it.
- Systems6 min read
Consensus is not the hard part. Reconfiguration is.
Every distributed-systems reading list ends where the real engineering starts. What breaks in production is the day the topology changes.
- Strategy4 min read
“Work made for hire” does not mean you own it
The phrase appears in nearly every development contract and it is doing far less work than the people signing it believe.
Next step
Tell us what’s breaking.
Forty-five minutes, no charge, no deck. We’ll tell you what we’d do, what it would likely cost, and whether you should be building this at all.