Computer vision development
We build computer vision systems for US companies: object detection, visual inspection, quality control, and image understanding, deployed to the cloud or onto edge devices. From a labeled dataset to a model running in production.
No sales script. You talk to the engineers who'd build it.
Our team works a shifted day so you get real-time standups and same-day turnarounds across US time zones, not next-morning replies.
Every line of code, model weight, and prompt is yours from day one. NDAs and clean IP assignment are standard, not an upsell.
You work directly with the engineers building your system. No account managers sitting between you and the people writing code.
We move from scoping to a working system in production in weeks. Most engagements ship something usable inside the first month.
What we build
Concrete systems we ship, tuned to your data and your stack.
Detection & tracking
Find, count, and track objects in images and video streams in real time.
Visual inspection
Spot defects and quality issues faster and more consistently than manual checks.
Image understanding
Multimodal models that describe, classify, and answer questions about images.
Edge deployment
Models optimized to run on-device where latency or connectivity rules out the cloud.
How we work
Scope & evals
We pin down what success means and build the evaluation set before writing the feature, so quality is measured, not guessed.
Build in the open
Weekly demos against real data. You see progress every week and can change direction before it gets expensive.
Ship & instrument
We deploy with logging, cost tracking, and guardrails in place, then tune against production traffic.
Hand off or stay
Take the keys with full docs, or keep us on for iteration. Either way you're never locked in.
Questions, answered
Do we need a labeled dataset already?
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It helps, but we can start from raw data and handle labeling, or use multimodal models that need far less training data than classic vision pipelines.
Can the model run on edge hardware?
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Yes. We optimize and quantize models to run on cameras, Jetson devices, and other edge hardware when cloud latency isn't an option.
How accurate will it be?
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We benchmark against a held-out test set and report real precision and recall, then iterate. You get measured performance, not a marketing number.
Can you combine vision with language models?
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Yes. Multimodal systems that both see and reason are a sweet spot, for example reading a document image and answering questions about it.
Let's scope your build.
Tell us what you're trying to ship. We'll tell you honestly whether AI is the right tool and what it would take.
Start the conversation