Rated 5 star on Google

Computer vision that sees what nobody can watch

Cameras and scanners already capture more than anyone reviews. We build computer vision systems that read documents, inspect work, count inventory, detect what's wrong on a job site, and turn images and video into records your business can act on.

Images and video are the data you haven't used

Every photo a technician takes and every page a customer uploads is information. Vision is how it becomes structured and useful.

Book a strategy session ($350)

A good fit if you

  • Process forms, IDs, receipts, or handwritten documents by hand
  • Have technicians or inspectors photographing work that nobody reviews systematically
  • Count, track, or verify physical things: inventory, vehicles, parts, people
  • Need to catch defects or safety issues before a customer or regulator does
  • Run cameras that record everything and alert on nothing

Computer vision is AI that interprets images and video: reading the text on a page, recognizing objects and their condition, detecting when something is present that shouldn't be or missing that should be, and tracking what moves through a space. It turns pixels into fields, counts, and alerts.

We build vision systems for concrete operational jobs. Optical character recognition that reads an uploaded insurance card or a scanned contract into your system in seconds. Inspection models that check a roofing or HVAC install photo against a standard before the crew leaves the site. Monitoring that watches a camera feed and notifies a person only when the thing they care about happens.

The hard part of computer vision isn't the model. It's the messy reality of real photos: bad lighting, odd angles, phones held wrong. We design for the images you actually get, we test on them, and we route uncertain cases to a person rather than guessing.

What we build

Delivered as working systems connected to your cameras, your uploads, or your field team's phones.

Tools and stack we work in

  • OpenCV
  • PyTorch
  • YOLO
  • Google Cloud Vision
  • Azure AI Vision
  • AWS Rekognition
  • Tesseract
  • Google Document AI
  • Roboflow
  • ONNX
  • NVIDIA Jetson

We choose between cloud vision APIs, fine-tuned open models, and on-device processing based on accuracy, latency, cost, and where your images are allowed to go.

  • OCR and document capture

    IDs, insurance cards, invoices, receipts, and forms read into structured fields, including handwriting and low-quality scans.

  • Object detection and counting

    Inventory on shelves, vehicles in a lot, parts on a line, or people in a space, counted and tracked from images or video.

  • Visual inspection and quality control

    Installs, repairs, products, and job sites checked against a defined standard, with defects flagged and photographed evidence attached.

  • Image classification and tagging

    Photo libraries and uploads sorted automatically by what they show, so nothing gets filed wrong or lost.

  • Intelligent video monitoring

    Camera feeds that alert on the events you define, safety violations, unauthorized access, unattended areas, instead of recording silently.

  • Recognition and matching

    Products matched to catalog entries, documents matched to accounts, and images verified against references.

  • Field photo workflows

    Technician and inspector photos captured in a guided flow, checked for quality on the spot, and attached to the right job automatically.

Where vision pays off

Anywhere something physical needs to be read, checked, or counted more often than people can do it.

Roofing and construction

Install and damage photos checked against standards, progress documented automatically, and insurance-claim evidence organized from the field.

HVAC and plumbing

Equipment labels and serial numbers read from technician photos, before-and-after verification, and parts identified from a picture.

Insurance agencies

IDs, cards, and application documents captured and verified at intake, cutting data entry and rejected submissions.

Medical and aesthetic practices

Intake documents and cards digitized on arrival, and before-and-after imaging organized consistently by patient and treatment.

E-commerce and retail

Product photos tagged and quality-checked at scale, shelf and stock counting, and visual search that finds products from a photo.

Logistics and facilities

Vehicle and license plate recognition, dock and yard monitoring, safety compliance alerts, and package condition checks.

Why it starts in the field

We serve trades and home services, and those businesses run on photos. Every job produces a dozen of them, and almost none get looked at again. Processed systematically, they surface what the business can act on: installs that don't match the standard, serial numbers that never got recorded, damage that should have been on the estimate.

That's our lens on computer vision. It's not surveillance and it's not a demo. It's the systematic use of images your operation already produces, so quality goes up, disputes go down, and the record is complete without anyone typing it. We build it, and we connect it to the marketing side too: verified before-and-after photos are the most persuasive content a service business can publish.

How we work

  1. Discovery and data audit

    We learn how the business makes money, where the decision or the workflow actually breaks, and what data exists to fix it. If the data isn't there yet, that becomes step one.

  2. Roadmap and architecture

    One plan that names the outcome, the integrations, the guardrails, and the budget. Sequenced so the fastest win funds the longer build.

  3. Build and integrate

    We build inside your systems and your accounts, connect to the tools you already run, and test against real data before anything touches a customer.

  4. Measure and improve

    Monthly reviews on the business number the system was built to move, not on model accuracy in isolation. We keep tuning after launch.

The same standards as everything else we do

  • You own the code and the data

    Source, models, prompts, pipelines, and accounts are yours. If we ever part ways, everything we built stays with you.

  • Revenue model first

    We ask how the company makes money before we ask which model to use. AI that doesn't move a business number is a science project. It's how we work on everything.

  • No hidden fees

    Scope is written before it's priced. Cloud and API costs are passed through at cost, not marked up.

  • Senior people, always

    The engineer who scopes your system is the one who builds it. No handoff to a junior pod after the contract.

  • Guardrails by default

    Human review where decisions carry risk, logging on every automated action, and a kill switch you control.

  • Three languages

    Systems that read, write, and talk in English, Spanish, and Portuguese, because your customers do. See where we operate.

Questions we get asked

Software that interprets images and video the way a person would, but continuously and consistently. It reads text on documents, recognizes objects and their condition, counts things, and detects events. The output is data your systems can use.

Your cameras are recording. Nobody is watching.

Bring the photos, scans, or camera feed you wish someone reviewed. Thirty minutes tells us whether vision can do it and what the pilot would look like.

Book a strategy session ($350)
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