Systems you can build on.

Custom Software

Web apps and internal tools, built around the way you work.

“Our process lives in a shared spreadsheet and three different SaaS tools we have to keep in sync by hand.”

Teams whose “system” is currently 3+ tools held together with copy-paste.

Off-the-shelf software is great until it isn’t. When your team has bent a generic CRM, project tool, or spreadsheet into a system of record, the next step is usually a small, focused custom application that fits the real workflow instead of forcing the workflow to fit the tool. We build web apps, internal tools, and customer-facing portals on modern stacks (Next.js, TypeScript, Postgres) with the boring parts handled — authentication, roles, audit trails, and the documentation your team needs to actually own the system.

Data Management

Cleaner inputs, dependable storage, schemas that hold up.

“Every report disagrees with every other report, and nobody trusts the numbers.”

Operations leaders tired of reconciling spreadsheets before every meeting.

When data lives in too many places, even simple questions become arguments. Data management work is the connective tissue: defining what an order, a customer, or a job actually is across your tools, building the pipelines that move data reliably between them, and cleaning up the years of accumulated mess so today’s numbers can be trusted. We design schemas, build ETL/ELT pipelines, set up Postgres or warehouse-grade storage, and write the migrations to get you there from wherever you are now.

Analytics & Business Intelligence

Dashboards and KPI tracking that turn activity into decisions.

“It takes someone a day to put together the report leadership needs every Monday.”

Owners and managers who want to stop building Monday reports by hand.

A dashboard is only useful if it’s the dashboard your team actually opens. We build reporting layers that pull from the systems you already use, surface the handful of numbers that actually drive decisions, and make “how’s the business doing right now” a question someone can answer on their phone. The work covers everything from a single embedded chart in your existing app to a full BI stack with scheduled email digests, alerting, and role-based views.

Business Automation

Fewer handoffs, fewer errors, fewer “did anyone do this?” asks.

“A new lead means someone manually retypes the same info into four different systems.”

Small teams losing hours per week to manual re-entry between tools.

Most automation work isn’t flashy — it’s removing the small, repetitive copy-paste steps that quietly cost a few hours a week, per person, forever. We connect the tools you already pay for (CRM, accounting, e-sign, scheduling, email, Slack/Teams) so that data flows once, cleanly, and people get notified about the things that actually need a human. When off-the-shelf tools like Zapier or Make are the right fit, we use them; when the logic gets complex, we write proper code that you can read and maintain.

Artificial Intelligence

AI features that augment human work — and stay accountable.

“We piloted an AI tool and it impressed everyone in the demo but never made it into the actual workflow.”

Teams who want practical AI wins without betting the business on a pilot.

We treat AI as a tool that amplifies people: drafting first versions, summarizing long documents, surfacing patterns in messy data, classifying inbound work, and answering well-defined questions against your own content. The goal is always a measurable lift — fewer hours, faster turnaround, better consistency — not a chatbot for its own sake. We’re upfront about where AI helps and where it doesn’t, and every system we build has a clear human checkpoint and an audit trail leadership can stand behind.

Computer Vision

Turn images and video into structured signals.

“Someone watches a feed, counts things, or checks photos all day — and the data never makes it into a system.”

Manufacturers, contractors, and operations teams with cameras already in place.

Computer vision turns cameras and image archives into structured information your other systems can use. We build detection, classification, counting, and quality-inspection systems using modern deep learning, and we deploy them where they need to run — in the cloud for batch analysis, or at the edge on small devices for real-time use on a factory floor or job site. Where it makes sense we combine vision with the rest of your stack so a detection event triggers an alert, ticket, or row in a database automatically.

Robotics & Sensor Integration

Software for hardware-adjacent and sensor-driven workflows.

“We have devices and sensors generating data, but it never reaches the people who could act on it.”

Manufacturing, logistics, and field-service teams with existing hardware to leverage.

Robotics and sensor work is where software meets the physical world: industrial sensors, robotic arms, drones, IoT devices, and the gateways that connect them to the rest of your stack. We focus on the software side — drivers, data pipelines, control logic, dashboards, and the integration layer that gets sensor data into the same systems your operations team already uses for everything else. Most engagements are not greenfield robotics; they’re making the hardware you already own actually useful.