One team across build, run, and plan.
Four capability groups that work as one engagement — so you’re not stitching together separate vendors for the software your business depends on.
AI and Generative AI
Where AI genuinely earns its place in your workflow — and where it doesn't. We'll tell you both.
AI advisory
A hard-nosed read on which parts of your operation AI actually improves, and what it would cost to get there.
AI agents and copilots
Assistants wired into your own systems and data, scoped to real tasks rather than a demo.
RAG and knowledge systems
Your documents, tickets, and records made answerable — with citations back to the source.
Applied ML engineering
Forecasting, classification, extraction, and ranking models, taken from notebook to production.
AI enablement and training
Your team taught to use and build on AI day to day, without needing a research background.
Responsible AI
Evaluation, guardrails, and human review designed in from the start, not bolted on after an incident.
Software engineering
Web apps, internal tools, and platforms built around how your team actually works.
Product discovery and scoping
An idea turned into a technical roadmap — what to build first, what to defer, what it costs.
Full-stack web applications
Customer-facing products and internal systems, built to be maintained by your team later.
Custom internal tools
The tool that fits your process exactly, instead of the process bent to fit the tool.
APIs and integrations
Your systems talking to each other properly — and to the third parties you depend on.
Cloud and DevOps
Infrastructure, CI/CD, and deployment on the major providers, with the keys handed to you.
Data engineering
AI is only as good as what you feed it. Most engagements start here, whether or not anyone planned for it.
Data and process audit
An honest map of what data you hold, where it's scattered, and what's safe to build on.
Cleanup and migration
Scattered spreadsheets and legacy records consolidated into something a system can rely on.
Pipelines and warehousing
Ingestion, transformation, and storage that keeps working after we've handed it over.
Analytics and reporting
Dashboards that answer the questions your team actually asks in the Monday meeting.
Run and support
Software is never really done. Keeping it alive is first-class work here, not an afterthought.
Maintenance and bug fixes
Reserved capacity on our side so issues get handled in days, not whenever someone is free.
Monitoring and security patching
Uptime, performance, and dependency patching watched continuously on supported builds.
Incremental feature work
A steady stream of improvements after launch, sized to your budget rather than a big-bang rewrite.
Handover and team training
Repositories, infrastructure, and documentation transferred properly if you'd rather run it in-house.
Four stages, and you own the output of every one.
- 01
Discover
One to three weeks understanding the problem, your data, and your constraints — ending in a costed technical roadmap you own whether or not you build with us.
- 02
Design
Architecture, interface, and the decision about where AI belongs. We scope to the smallest thing that proves the idea works.
- 03
Build
Shipping in stages, so something real is in front of users well before the last milestone. Written progress you can read on your own schedule.
- 04
Run
Monitoring, patching, and incremental features on a retainer — or a proper handover with your team trained to take it from here.
Where we’ve done the work.
Domain matters more than most vendors admit. These are the sectors whose constraints we already understand.
Three ways to work together.
The right model depends on how settled your scope is — we’ll recommend one once we understand what you’re building.
Fixed-bid
A defined scope, a defined price. Best once requirements are clear enough to commit to.
Best for
Well-scoped builds, MVPs, and discrete projects with a clear finish line.
Time & materials
Billed for the work done, with scope that can flex as you learn. Best when requirements are still evolving.
Best for
Early-stage products, evolving roadmaps, and iterative builds.
Retainer
Ongoing capacity reserved on our side — for support, maintenance, and incremental feature work.
Best for
Teams that already have something live and need it kept running and moving forward.
Wherever you’re starting from, let’s figure out the next step.
Tell us what you’re building — we’ll tell you honestly whether we’re the right team for it.