Custom builds
Custom AI software, built for your business.
Internal AI tools, customer-facing AI products and web apps - designed for the workflows your business actually runs on. Built by an operator team that ships its own software in production every week. You own the code. No lock-in.
Built by an operator who ships
What we build
Three flavours of build. Same operator team behind all of them.
Internal AI tools
AI tools your team uses every day - dashboards, assistants and ops tools built to your exact workflows. Properly integrated with your existing systems, with the access controls and audit trail your business needs.
Examples
- AI assistant that knows your CRM and customer history
- Operations dashboards with AI-generated summaries
- Internal knowledge assistant that searches your documents
- Automated approval and triage workflows
Customer-facing AI products
AI shipped inside your product or website. Chat assistants, guided workflows, voice agents - production-ready tools your customers interact with directly.
Examples
- AI-powered onboarding flows
- Support assistants with tool use
- Voice agents on Twilio / phone
- Embedded AI features in web apps
Web apps and SaaS
Modern web apps and small SaaS products. TypeScript + React + Cloudflare or Supabase stack, with Claude built in from day one - not bolted on later.
Examples
- Internal SaaS for a single business
- Marketing sites with AI features
- Multi-tenant tools for partners
- Replatforming legacy internal tools
The stack
Modern, pragmatic, fast to ship.
AI model
Claude by default - the most capable AI for business software. We handle model selection, cost efficiency and version upgrades so you don't have to think about it.
Web apps and interfaces
Modern, fast, mobile-friendly web software. We use the same technology stack that powers major consumer apps - pragmatic choices that keep your software easy to maintain.
AI agents and integrations
AI that takes actions and calls your systems - your CRM, billing, scheduling tools and internal databases. Built to work with what you already have.
Document and data search
AI that searches across your own documents, knowledge base and internal data - and cites its sources. Useful for client-facing tools, internal knowledge assistants and research products.
How it works
Discovery to v1 in 4-12 weeks.
01
Free 30-min discovery call
Walk us through the workflow you want to build for. We'll confirm fit and propose the smallest possible v1 that still delivers value.
02
Scope and quote
Fixed-scope quote with a milestone-based timeline. Most v1 builds ship in 4-12 weeks. No multi-month discovery phases.
03
Build with weekly demos
Working software in weekly demos from week 1. You see progress in production, not Figma mockups - and we course-correct fast.
04
Ship, train and hand over
We ship to production, train your team and document everything. You can run it, extend it, or have us stay on for ongoing improvements.
FAQ
Common questions.
What's the typical price range?+
Builds start from around AUD $5,000 for a focused v1 - a single automation, a Claude Project, a basic internal tool - and scale up from there with scope, with no fixed upper cap. We don't publish a public price list because every build is different; we'd rather give you an honest fixed quote after a 30-minute discovery call than over-promise here.
How long does a build take?+
Most v1s ship in 4-12 weeks. We deliberately scope to the smallest version that proves value, then iterate from there. Multi-quarter builds are possible but rare - usually we'd rather ship a v1 fast and grow it.
Who owns the code?+
You do. We hand over the repo, the deployment, the documentation and the operational runbooks. No lock-in, no vendor games.
Do you use AI models other than Claude?+
We default to Claude because we know it deeply and it produces the best results for business software. If your build genuinely needs a different approach - for instance, a locally-run model for specific data privacy requirements - we'll tell you up front and either help you scope it or refer you on.
What about ongoing support and maintenance?+
Optional. Some clients take the build and run it themselves. Others put us on a monthly retainer for ongoing development, model migrations, and small feature work. Both are fine - we don't push lock-in contracts.
Can you work with our existing dev team?+
Yes. We'll work alongside your engineers, do code reviews against your conventions and hand over cleanly. We can also install Claude Code into their workflow at the same time so the build skills compound.
Related reading
Operator notes on building custom AI software.
When custom builds pay back, what to wire into the SDK, and the agentic patterns we ship into production.
Custom Builds · 8 min read
Voice agents for SMBs: when they pay back (and when they're a vanity project)
AI voice agents on the phone are getting genuinely good. Here's the honest read on where they save real money for an Australian SMB - and where they're a six-figure project that should be a chatbot instead.
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Explainers · 7 min read
What is MCP (Model Context Protocol) and why SMB owners should know about it
Plain-English explainer of Model Context Protocol (MCP), the open standard from Anthropic that lets AI models connect to your tools and data the same way regardless of vendor - and why it matters for SMB AI architecture.
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Explainers · 7 min read
What is an AI agent? A working definition with five SMB examples
Plain-English definition of an AI agent for SMB owners in 2026, with five concrete examples of where agents pay back in a small business - and where they do not.
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Book a free 30-min discovery call
Tell us what you want to build.
Bring the workflow, the rough idea, or just the problem. We’ll come back with an honest read on fit and a v1 scope you could actually ship.