01
Audit the current reality
We read the codebase, check the infrastructure, and talk to your team — then write down what's actually slowing you down, before proposing anything.
Senior AI delivery for teams scaling real systems
Tell us what's broken or what you want to build. We map it, design it, build it, and stay close enough after launch that your team can run it without us.
01
We read the codebase, check the infrastructure, and talk to your team — then write down what's actually slowing you down, before proposing anything.
02
We draft the architecture and the build plan with the tradeoffs spelled out, so you can sign off on what gets built and why before any code is written.
03
We write the code, the tests, and the monitoring side by side — so what ships is something your own team can read, debug, and extend later.
04
We handle the rollout, fix what surfaces in the first weeks of real usage, and hand over documentation your team can actually follow.
That gap is where we live: turning prototypes, half-built tools, and shaky infrastructure into systems your team can run on its own.
ML in production
We take ML work past the notebook stage — building the API, the evaluation pipeline, the monitoring, and the retraining loop that decide whether a model holds up after launch.
ML in production
Internal tools & automation
We build internal tools, integrations, and AI-assisted workflows that take repetitive tasks off your team's plate, with enough logging and approval steps that nobody has to babysit them.
Internal tools & automation
No handoff from a sales engineer to a delivery team you've never met. The senior engineer in your kickoff call is the one writing the code.
Feasibility checks, model development, evaluation, and the production infrastructure to run it all reliably.
Internal tools, integrations, and AI-assisted workflows — built with logging and approval steps so nothing runs unchecked.
A structured review of your architecture, code, and infrastructure, with a ranked list of what to fix first and why.
Cloud infrastructure, CI/CD, and deployment pipelines set up so releases stop being a stressful event.
100%
of the work done by senior engineers
0
subcontractors or outsourced juniors
6
engineering disciplines under one roof
12-24h
typical reply time on a new brief
Three briefs come up again and again. If one of them describes where you are right now, it's probably worth a conversation.
Our ML prototype works in the demo, but shipping it safely keeps slipping every sprint.
Common brief
We know exactly what we want to automate, but our current stack can't support it cleanly.
Operational bottleneck
Every release takes longer than the last one, and nobody on the team is sure why.
Platform signal
A focused audit if you need clarity, a build sprint if you have a defined outcome, or an embedded partnership if you need a senior engineer on tap.
Fixed scope
A focused, time-boxed review of your architecture, codebase, or infrastructure — useful before a major technical decision or investment.
2-6 weeks
A scoped engagement to design, build, and ship a specific feature, integration, or system — with the outcome agreed before we start.
Ongoing
An ongoing arrangement where a senior engineer works inside your team — your stand-ups, your sprints, your codebase — for as long as you need.
Send us a short description of what you're building or what's broken. We'll reply within a day with honest thoughts on scope, approach, and whether we're the right fit.