/services
Services
Three ways to work with us. Every one of them is measured the same way: what your customers can use when we’re done.
Ship it
Fixed price. Pay for shipped.
You know what your customers need. Maybe it’s half-built, maybe it’s a prototype that impressed everyone and then stalled, maybe it’s an AI feature stuck in pilot. We agree on what “shipped” means, quote a price for it, and get it into your customers’ hands.
- A definition of done your customers would recognize, agreed up front
- A quote, not an estimate. The price doesn’t move.
- Working software in production early and often, not a big reveal at the end
- If it doesn’t ship, you don’t pay
- Code, infrastructure and docs your team owns outright
Fractional builder
Monthly retainer.
Senior engineering, AI and product leadership embedded in your team, without the full-time hire. We set the bar for what “done” means, make the hard calls and ship alongside your people.
- Senior judgment without the salary, benefits and six-month recruiting cycle
- AI-native workflows your team adopts by working next to them, not by watching a training video
- Scale up or down as the work demands
- Pattern recognition from building the foundations of companies that went on to multi-million-dollar exits
The teardown
Fixed scope. Brutally honest.
“Everyone’s busy. The board deck says we’re on track. So why hasn’t a customer seen anything new in six months?”
A hands-on diagnosis of why your team isn’t shipping. We read the code, sit in the ceremonies, look at the pipelines, the backlog and how your team is (or isn’t) using AI, then tell you what’s actually going on.
- Where the time goes between “started” and “in customers’ hands”
- Which process to keep, which to kill, and what replaces it
- Architecture, CI/CD and infrastructure fixes ranked by how much shipping they unlock
- An honest read on where AI will speed your team up, and where it’ll just help them make mistakes faster
- A concrete plan with working code, not a list of “considerations”
What we’re good at
- Product engineering: web apps, APIs, platforms, internal tools, serverless and event-driven systems
- Applied AI: LLM-powered features, agents, retrieval over your data, evals and guardrails, automating the workflows nobody wants to do
- AI-native delivery: team workflows where AI does the typing and humans do the judgment
- Cloud & DevOps: AWS from commercial to GovCloud and air-gapped regions, CI/CD, infrastructure as code
- Data: pipelines, analytics and the plumbing that makes AI possible in the first place
Other skills
- Not wasting your time with useless meetings
- Honest, direct communication
- Reading error messages carefully
- Saying no to features that don’t matter
- Working toward your customers’ outcomes, not toward more billable hours
Not sure which one fits?
Tell us what’s stuck. We’ll tell you straight whether we’re the right people to unstick it.