Embedded, not outsourced.
Three ways to engage, six kinds of system we build, and one process. Every engagement runs the same four stages, from first audit to production handoff.
Forward-deployed engineers
Individuals, into your teamEngineers who write production code and understand the industry they are building for. They join your existing team: your repos, your standups, your deadlines, reporting to your leads.
You own the roadmap. We add the capability you cannot hire quickly, and leave your team able to maintain what we built.
Embedded product teams
A whole team, owning an outcomeA self-contained team of product, engineering, and design that takes a problem you have not yet specified and returns a system running in production.
We own the roadmap for that outcome and are accountable for whether it works. Weekly checkpoints, every commit visible, redirect at any point.
Fractional CTO
One person, at the tableTechnical leadership before a full-time executive makes sense. Architecture decisions, engineering hiring, vendor calls, and the roadmap judgment that comes from having shipped this category before.
The scope here is the whole technology function, not one system. Often the engagement that decides which of the two above you actually need.
Engineers or a team?
The first two look similar from outside. The difference is who is accountable for deciding what gets built.
What we build
Six kinds of system, each one shipped more than once.
Design and plan automation
Work that takes a drafter a week and turns it into a job that runs in minutes. Parametric models that hold up when the constraints change, drawing sets produced from the model rather than redrawn, and geometry that arrives at the fabricator ready to cut.
Model to money
The connection between the design and everything downstream of it. Quantities and bills of materials pulled straight from the model, schedules that move when the sequence moves, and procurement systems that see a design change the day it happens instead of the month after.
AI that engineers will actually use
Models trained on your own drawings, codes, and inspection records rather than a general corpus. Compliance checking that cites the provision it is relying on. Computer vision that grades what a person would otherwise grade by eye. Every answer traceable, and the uncertainty stated.
Software that drives machines
Where the model stops being a drawing and starts being a toolpath. Geometry engines that turn an architectural model into something structurally sound and printable, machine control and path planning, and telemetry coming back off the site so the next print is better than the last.
CAD and model data management
The unglamorous layer everything else depends on. Files that stay in sync across Revit, Rhino, IFC, and STEP, one place where the current model actually lives, version history that survives a personnel change, and naming and classification standards enforced by software instead of a PDF nobody reads.
Platforms and field tools
The applications your teams work in every day. Web and mobile tools built for gloves and bad signal, dashboards that show a project as it is rather than as it was reported, integrations across the systems you already bought, and cloud infrastructure sized to a project rather than a demo.
Four stages. No surprises.
Every engagement follows the same disciplined process from first audit to production handoff.
Structured interviews, direct system access, and time with your team to map workflows and understand the technical landscape. Broad before deep.
Solution architecture and feasibility. Prototype integrations, data-flow diagrams, and a prioritized build list with effort and impact per workstream.
Working software, iteratively, with weekly checkpoints. You see every commit and can redirect at any checkpoint.
Measured against the baseline set in Discovery. Automated testing, integration validation, and a documented handoff so your team owns what we built.