Custom Web Applications
A purpose-built web application (customer portals, internal dashboards, booking systems, data tools) for workflows that off-the-shelf software doesn't fit. Increasingly that includes AI automation: document processing, intake triage, natural-language search across your own data, and internal assistants grounded in your content rather than the open internet.
Scoped to you
From $450 a month
Monthly work from $450, fixed-scope projects from $1,499, and builds quoted individually. Tell us what you need and you'll have scope, timeline, and the full number back within 24 hours, before any work begins.
Who it's for
- Businesses forcing their process into software that wasn't built for it
- Teams that need a customer or partner portal
- Companies with a manual, repetitive process that an AI workflow could absorb
- Companies with internal workflows that could be automated or centralized
What's included
- Technical discovery and system architecture
- Database design built for your actual data model
- Custom UI built around how your team actually works
- AI and LLM integration where it replaces real manual work, with your data kept yours
- Authentication, roles, and permissions
- Third-party integrations (payments, CRMs, internal APIs)
- Documentation and handoff so you're never locked to us
Our approach
- 01
Discover
Map the actual workflow before designing any software around it.
- 02
Architect
Data model and system architecture designed to hold up as usage grows.
- 03
Build
Iterative development with working software you can test throughout, rather than only at the end.
- 04
Launch & document
Deployment plus documentation so your team isn't dependent on us to understand it.
What to expect
Software built around your actual process, not a generic template
A system that scales with usage instead of breaking at it
AI automation measured by the hours it removes, not by the fact that it uses AI
Full documentation and code ownership, with no vendor lock-in
Custom Web Apps questions we get asked
How do I know if I need custom software or an off-the-shelf tool?
Buy the tool if one fits, and we'll say so. Custom becomes the right answer when you're paying per seat for software you use a fraction of, when your team maintains spreadsheets alongside the tool to cover what it can't do, when the process everyone follows exists only in one person's head, or when you're paying to bridge three systems that were never meant to talk. The signal is usually the workaround, not the software: count how much time goes into working around the tool each week.
What happens to my data if we use AI features?
It stays yours, and where it goes is decided before anything is built. We use enterprise API tiers that don't train on your inputs, and we're explicit about which data leaves your systems and which never does. Where the material is sensitive, retrieval is designed so the model sees only the specific passage needed to answer, rather than being handed your whole dataset. If your industry has rules about where data can be stored, that constrains the architecture from the start rather than being retrofitted.
Can it integrate with the systems we already use?
Usually, and it's worth checking early because it's the thing most likely to change the estimate. Anything with a documented API is straightforward. Older systems without one can often still be integrated through database access, scheduled file exchange, or a scraping layer, though those are more fragile and we'll be clear about the tradeoff. The systems you need connected should come up in the first conversation, not in month two.
What if we need changes later and you are not available?
You'd be able to hand it to another developer, and that's a deliberate design goal rather than a promise. The code is yours outright, it's built on Next.js and TypeScript rather than anything proprietary, it's deployed on infrastructure in your own accounts, and it ships with architecture and setup documentation written for a developer who has never seen it. Vendor lock-in is a business model, and it isn't ours.
How do you quote a project when the scope is not clear yet?
With a paid discovery phase, when the project is big enough to warrant one. Mapping the workflow, the data model, and the integrations produces a specification detailed enough to quote against properly, and you own that document whether or not you build with us. It's the honest alternative to a number invented from a first conversation, which either gets padded to cover the unknowns or gets revised upward once they surface. Smaller, well-understood projects are quoted directly within 24 hours.
Works well with