R&D PARTNERSHIPS

Our computer vision team. Your project. Your IP.

Canny Vision's edge AI and computer vision research team is available for outsourced R&D engagements — you define the goals, fund the work, and retain full ownership of the resulting intellectual property and data.

Discuss a Project
Computer vision research team working on client project
You fund it. You own it.
How It Works

A different kind of engagement than our products.

Canny Edge, Rassed, and Fetchy are products Canny Vision builds and owns. R&D Partnerships are the opposite: you hire our team's expertise for a defined project in Computer Vision & Artificial Intelligence, you fund and direct the work, and everything produced — code, models, data, findings — belongs to you.

It's the model organizations use when they need serious computer vision or edge AI expertise for a specific initiative, without building that capability in-house from scratch.

Client-directed R&D engagement model
Client-directed, client-owned
What We Bring

Research-grade expertise, applied to production problems.

Research-grade computer vision expertise

Led by a PhD in signal and image processing with a research background in video sequence analysis, our team brings academic rigor to applied, production-oriented problems.

End-to-end edge AI engineering

From model design and training through optimization and deployment on constrained edge hardware — our team has shipped this pipeline in production, not just in research.

Applied experience across real deployments

Our core team has built and deployed behavioral AI systems in live municipal environments — grounded, field-tested experience rather than theoretical-only expertise.

Intellectual property ownership handed to client
100% client-owned IP
The IP Model

You own what we build together.

R&D Partnerships are structured so the client funds and directs the work, and owns all resulting intellectual property, code, models, and data. Scope, deliverables, and ownership terms are defined upfront in a project agreement before work begins.