Custom software development company for ERPs, portals, and AI-native tools

Cost depends on scope, and the drivers are predictable: how many user roles and workflows the system covers, how many systems it integrates with, how much legacy data has to move, compliance needs such as HIPAA audit trails, and whether you need mobile apps as well as web. Polish matters too, since an internal tool can be plainer than a customer-facing portal. After a short discovery phase, you get a fixed price for the first release or a sprint-based budget, along with a payback estimate tied to the hours and errors the software removes.

A typical first production release takes 3–6 months: 2–4 weeks of discovery, 1–3 weeks of design, 8–16 weeks of building in 2-week sprints, and a careful launch. A focused internal tool can ship sooner. An ERP or operations system usually ships in phases, starting with the module that removes the most manual work, so you get value before the whole system is done. You see working software on a staging site every 2 weeks, so the schedule never comes as a surprise.

You do. Our contracts assign you the intellectual property in the custom code we write, and the code lives in a repository under your organization's account from the first commit. Cloud accounts, domains, and API keys are in your name too. Open-source libraries keep their own licenses, which we track, and any pre-existing tools of ours that we reuse come with a license to keep using them. If you ever switch vendors or bring development in-house, nothing is held hostage.

Customize off-the-shelf software where your processes are standard, and build custom only where your process is your advantage. Accounting, payroll, and tax rarely justify custom code, so we recommend keeping QuickBooks Online, NetSuite, or Microsoft Dynamics 365 Business Central as the financial system of record. Scheduling, job costing, quoting, production tracking, and the workflows unique to how you win business are where packaged ERPs fit poorly, and where a custom operations layer integrated with your accounting system earns its cost. Our guide to custom software vs. SaaS walks through the decision.

We use AI coding assistants for routine work such as scaffolding, tests, data migrations, and documentation, and an engineer reviews every change before it merges. We use business-tier tools whose terms exclude training on your code, never put production data or secrets into prompts, and run automated tests, dependency checks, and secret scanning on every pull request. AI features inside your software get the same discipline: permission-aware data access, testing against the OWASP Top 10 for LLM Applications, including prompt injection (text crafted to hijack the AI's instructions), plus logging and an evaluation set that catches regressions before your users do.

Both, and the right model depends on how settled the scope is. When discovery produces a clear scope, a fixed bid per release gives you budget certainty, and changes go through a simple change order. When requirements will keep moving, such as a legacy modernization where unknowns surface as you dig in, time and materials in 2-week sprints with a budget cap is cheaper and more honest. Either way, you get a demo every sprint and a running view of budget against progress.

You choose: we keep supporting and improving the system, or we hand it over to your team. Software needs security patches, framework and dependency upgrades, monitoring, tested backups, and the improvements your staff ask for once they use it every day. A monthly retainer covers that, and it's why clients have long called us their "tech guys": a team that knows your systems and fixes problems at both the big-picture and day-to-day level. If you'd rather run it in-house, we hand over runbooks, documentation, and recorded walkthroughs, and train your developers.