Custom Computer Vision Development Company
Codestreaks builds computer vision systems that hold up on real images, not just benchmarks. From detection and inspection to OCR and tracking, we deliver custom computer vision software development that is evaluated, monitored, and deployed. From Austin, Texas.
What we build
Object & defect detection
Spot items, defects, or safety issues in images and video for quality control, inspection, and monitoring.
Image classification & recognition
Sort, tag, and recognize products, documents, or scenes at scale with accuracy tuned to your data.
Document & OCR pipelines
Extract structured data from forms, invoices, and IDs, combining vision with validation and human review.
Counting, tracking & anomaly detection
Count and track objects across frames and flag anomalies, with monitoring to catch model drift in production.
Why teams choose our computer vision engineers
- Accuracy measured against an evaluation set built from your real images
- Human review for low-confidence cases, so mistakes are caught not shipped
- Monitoring for model drift after launch, not just accuracy at demo time
- Cloud, on-premise, or edge deployment depending on latency and privacy
- Fixed-price scopes and 100% code and model ownership
Computer vision often pairs with agents and automation. See AI agent development, AI copilot development, or start with AI consulting to find the highest-value use case.
Frequently asked questions
What does a custom computer vision development company build?
A custom computer vision development company builds systems that turn images and video into decisions: detecting objects and defects, reading documents, classifying products, counting or tracking items, and flagging anomalies. The value is in tailoring the model and pipeline to your own images and accuracy targets, rather than forcing a generic API to fit your problem.
Do you train custom models or use existing ones?
Whichever gets you to reliable accuracy fastest. We often start with strong pre-trained and vision-language models to reach a working baseline quickly, then fine-tune on your data where accuracy demands it. The decision is driven by your accuracy target, latency budget, and how unusual your images are, not by a fixed methodology.
How do you make sure it works on real-world images?
Lab accuracy and production accuracy are different problems. We build an evaluation set from your real images, measure precision and recall against it, and add monitoring so drift is caught after launch. Human-review workflows handle low-confidence cases so mistakes are caught rather than shipped.
Can computer vision run on-device or at the edge?
Yes. Depending on latency, privacy, and connectivity needs, we deploy in the cloud, on-premise, or at the edge on cameras and mobile devices. You own the code and the trained model, and we are a US-based team in Austin, Texas working with clients worldwide.
Turn your images into decisions
Tell us what you need to detect, read, or count. We'll scope a computer vision system and quote a fixed price.
Schedule a consultation