Practical AI, automation, and software — built to solve one problem at a time.
Every engagement starts with a real business problem, not a technology we're excited about. Here's exactly what we build, how we build it, and what you can expect along the way.
AI Solutions
Put AI to work inside the product and processes you already run — not a separate experiment on the side.
Discuss thisMost “AI features” get bolted onto a roadmap without a clear job to do. Meanwhile the actual bottleneck — a judgment call your team makes fifty times a day, a support queue nobody can keep up with, a decision buried in someone's head — never gets touched.
We start with the specific decision or workflow you want AI to take on, then design the smallest system that can do it reliably: the right model, the right data it needs access to, and a review step wherever the cost of being wrong is high. Nothing ships without a way to measure whether it's actually working.
- LLM-powered features embedded directly in your product
- Retrieval-augmented systems grounded in your own data
- Autonomous agents for multi-step tasks and decisions
- Human-in-the-loop review for high-stakes actions
- Evaluation and monitoring so quality doesn't quietly drift
- Migration from prototype (ChatGPT, Copilot) to production
Automation
Connect the tools you already use and remove the manual steps standing between them.
Discuss thisGrowing teams end up gluing their stack together by hand — someone exporting a spreadsheet here, copy-pasting into a form there, re-entering the same customer data three times. It works, until it doesn't, and nobody notices the mistake until a customer does.
We map the workflow end to end, then build the automation that removes the manual handoffs — using off-the-shelf connectors where they exist, and custom integrations where they don't. Every pipeline ships with error handling and alerting, so a broken automation fails loudly instead of silently.
- Workflow automation across your existing SaaS stack
- Custom integrations where no off-the-shelf connector exists
- Scheduled and event-triggered pipelines
- Error handling and alerting built in from day one
- Internal dashboards to monitor what's automated
- Data syncing between systems that were never meant to talk
Custom Software
Software built around how your business actually works, not the other way around.
Discuss thisOff-the-shelf tools are built for the average customer, and most businesses aren't average. You end up paying for features you don't need, missing the one you do, and working around the gap with spreadsheets that become their own maintenance burden.
We design and build the application around your actual process — data model, permissions, and workflow included — so your team stops adapting to the tool and the tool starts fitting the team. We stay on after launch, because requirements change and the software should keep up.
- Web applications and internal tools
- Customer-facing portals and dashboards
- Legacy system modernization
- API design and backend architecture
- Data migration from spreadsheets and old systems
- Ongoing iteration as requirements evolve
Three ways to bring us in
Pick the shape that fits the problem — most clients start small and expand from there.
Fixed-scope project
A defined problem, a defined outcome, delivered on a fixed timeline and budget. Best when you already know what needs to be built.
Monthly retainer
An ongoing allocation of engineering time each month for automation, AI features, and improvements — without re-scoping a new project every time.
Embedded pod
Our engineers work inside your team and process for the length of a larger initiative, as if we were your own hires.
Common questions
If yours isn't here, it's a good excuse to just ask us directly.
How long does a typical engagement take?
Most fixed-scope projects run 4–10 weeks depending on complexity. Retainers and embedded work run for as long as they're useful — many clients keep us on well past the first project.
Do you work with our existing codebase and tools?
Yes — most of our work happens inside systems that already exist. We'll audit what's there before proposing anything, and we won't rebuild what doesn't need rebuilding.
Can we start with just one service?
That's how most engagements start. Many clients begin with a single automation or AI feature, then expand into custom software once we understand the business well.
How is pricing structured?
Fixed-scope projects are quoted after a short discovery call, once we understand what “done” looks like. Retainers are billed monthly for an agreed allocation of engineering time.
What happens after launch?
We don't disappear. Every engagement includes a support window, and most clients move into a retainer to keep iterating as their needs change.
What if we're not sure which service we need?
That's normal, and it's exactly what the first call is for. Tell us the problem — we'll tell you which combination of AI, automation, or software actually solves it.
Ready to scope your project?
Tell us what you're trying to solve and we'll tell you which service — or combination of services — actually fixes it.