We are the build team. Engineers, ML and GenAI practitioners, and automation specialists who replace manual workflows, ship production-grade AI systems, and build the software in between.
Most builds
never survive contact with production.
A workflow still done by hand because "we will automate it later." A model that scored beautifully offline and fell over on real traffic. A codebase held together by the one engineer about to leave. Building the first version was never the hard part. Making it survive contact with reality is.
“We had three models that scored beautifully offline and not one of them could handle a Monday morning traffic spike.”
VP Engineering, Series C SaaS Platform
Three disciplines.
One build team.
Most studios pick a lane. We do not, because your actual problem rarely fits in one. The workflow that needs automating also needs a model behind it. The model needs a real application around it. We build all three, on the same team.
Workflow Automation
We replace manual, repetitive processes with systems that run themselves: data entry, reconciliation, reporting, approvals. The busywork your best people are stuck doing by hand.
ML & AI Systems
Models that survive real traffic, not just a holdout set. Evaluation harnesses, deployment pipelines, and monitoring built in from day one.
Custom Software
Full-stack systems built to be owned, not rented. APIs, internal tools, and customer-facing products, engineered by people who stay through the handoff.
Real systems.
Real traffic.
Every engagement below runs in production today. Every number is measured post-launch, not on a holdout set. Clients are anonymized where contracts require it.
Invoice-to-payment automation processing 18.4K vendor invoices a year without manual matching.
Their AP team matched invoices to purchase orders by hand across three disconnected systems: the ERP, a vendor portal, and a shared inbox. Forty minutes per invoice, most of it copy-pasting line items. We built a reconciliation pipeline that pulls from all three sources, auto-matches on PO number and line-item totals, and routes only genuine mismatches to a human.
Pipeline matching invoices in parallel with the AP team. Every auto-match compared against the human decision before anything is trusted.
Full cutover. The AP team now only touches the 6% of invoices the pipeline cannot confidently match.
Day one,
you're already in code.
No three-month discovery phase, and no six-week timeline either. We scope in days, build against your real data from day one, and put something in front of real users before most shops finish their kickoff deck.
3-4x faster than the industry average
Scope & Data Audit
We look at your actual process and data before we promise anything. Half of what teams want automated is a script, not a platform, and we will tell you when that is the case.
Feasibility call, data access, and a written scope with a kill criterion.
Thin Vertical Slice
One narrow path, end to end, running on real data. Not a notebook, not a mockup. A deployed service you can hit with a request.
Evaluation harness built before the build starts. If we cannot measure it, we do not ship it.
Harden & Instrument
Failure modes, fallbacks, cost ceilings, and logging. This is the work that separates a demo from a system.
Tracing, cost budgets, graceful degradation, and human-in-the-loop escalation paths.
Shadow Deployment
Live traffic, zero blast radius. The system runs in parallel with your current process until the numbers justify a cutover.
Side-by-side comparison against the human or incumbent baseline.
Cutover & Handoff
Production traffic, and your engineers holding the pager. We write the runbooks and stay on call through the first cycle.
Documentation, maintenance schedule, and a team that does not need us next quarter.
Let's Scope
Your Build.
Tell us what you are trying to build. We will come back with a scope, a timeline, and an honest read on whether AI is even the right tool for it.