Software built around the business, not the other way around.

Off-the-shelf tools fit off-the-shelf companies. If your team spends its week forcing a rigid product to match how the work actually flows, the tool is billing you twice: once in licenses, once in workarounds.

The honest answer first.

Most companies should buy. Configuration is cheaper than construction, and a mature product carries a decade of other people's mistakes already fixed. When someone tells you everything deserves a custom build, they build custom software for a living.

But there's a threshold, and you know if you've crossed it. The workflow that makes you money exists in no vendor's catalog. The reporting your executives need takes three people four days a month to assemble. The "temporary" spreadsheet turned nine years old. Past that line, custom stops being a luxury and starts being the cheaper option.

Our job is telling you which side of the line you're on. The build, if there is one, goes to Decypher Corp, and it starts with a prototype rather than a promise.

See it working before you sign.

Engagements start with a discovery session, then a functional prototype built against your real workflow. You watch it handle your work before serious money changes hands. The risk of proving value sits with the builder, where it belongs.

From there, AI-accelerated development aims to solve the core problem in two to four weeks: a prototype within days, then the build. You see progress in working software, not in status meetings. Every developer is U.S.-based, and the shop has been shipping since 1999.

From first call to go-live.

1. Initial connect · 30 minutes

Meet the Decypher team, check whether it's a fit, and name the problems costing you the most.

The usual suspects.

Business IntelligenceDashboards that decide

Your data consolidated and warehoused into reporting built around the metrics that run the business, replacing the monthly spreadsheet assembly line.

AI Agents & AutomationHours given back

The repetitive work your team does between the real work: intake, routing, follow-up, reconciliation. Artificial intelligence services sized to the job: automated where it pays, left alone where it doesn't.

Custom ApplicationsYour workflow, encoded

Web applications shaped to how the work actually moves through your company, for the processes no product was ever going to fit.

Data IntegrationOne version of the truth

Systems reconciled and feeding a single warehouse, so reports stop depending on whose export ran last.

ModernizationLegacy, retired gently

The system everyone fears touching, replaced piece by piece while the business keeps running on it.

Predictive ModelsForecasts with receipts

Modeling built on your history with the arithmetic shown, so the forecast is an argument you can check rather than a number you're asked to trust.

Five builds, four industries.

Names withheld until the clients sign off on being named. The outcomes are theirs.

35+ hours a week back for a contractor

A construction contractor founded in 1942 ran job-site and safety reports on paper, then re-keyed them into payroll and invoicing. A tablet-based reporting system now feeds time straight into payroll and builds invoices from the job data: more than 35 hours saved across the business every week, including about 5 hours of admin per foreman and 30 hours of back-office data entry.

Construction contractor

Candidate research from 4 hours to 15 minutes

A growing Metro Detroit recruiting team spent half a day researching each search. An AI research agent now searches and cross-checks 25 public sources and returns candidates with the source and the reason each was flagged, in about 15 minutes.

Metro Detroit recruiting firm

A custom ERP for a global automotive OEM

Fragmented operational data and legacy systems were choking the supply chain. Rather than another one-size-fits-all package, Decypher architected a fully custom ERP around the company's own logic: data consolidated into one platform, workflows standardized, waste cut out of operations.

Global automotive OEM

Reporting rebuilt for a leading U.S. insurer

Off-the-shelf vendor reporting couldn't serve the range of internal stakeholders, so decisions ran slow and communication ran sideways. A bespoke reporting application, stripped to the metrics the executive team actually used, gave them back full visibility and speed.

Top U.S. insurance enterprise

Marketing spend, finally traceable

Insurers spend billions acquiring new business and mostly guess at which of it works. A custom analytics application standardized the raw marketing data and put an ROI figure next to each channel, so capital moved to what performed.

Insurance marketing analytics

Before you book the scoping call.

Custom sounds expensive. Is it?

Compared to a license, yes. Compared to years of workarounds, staff hours, and the tools you bought but fight, often not. That's why the engagement starts with a prototype instead of a contract: you get a real basis for the math before committing to the build.

How fast do we see something real?

The prototype comes first, within days, and the core problem is typically solved in two to four weeks. If a month has passed and you haven't watched working software do part of your job, something has gone wrong, and you should say so.

Why not just configure something off the shelf?

Often you should, and we'll say so when it's true. The scoping call exists to make that call honestly, before anyone has a reason to argue for the expensive answer.