Start Your Vision ProjectWith a Scoping Call
Whether you're validating whether computer vision is feasible or scaling a system across sites, our engineers are ready to help. Remote-first means we collaborate globally—no timezone is too far.
Technical Consultation
Share your project requirements and technical challenges. Our team reviews every inquiry and responds with tailored recommendations.
What We Help With
- Feasibility assessments for computer vision projects
- Real-time and edge deployment strategy
- Model selection and benchmarking guidance
- MLOps, monitoring, and retraining
- Architecture reviews and optimization
Common Questions
What types of projects do you work on?
We focus on computer vision — object detection, segmentation, tracking, OCR, video analytics, and defect inspection — and the edge/cloud infrastructure that runs it. We also build document AI, predictive analytics, and conversational AI when they fit the problem.
How long does a typical project take?
It depends on complexity. A feasibility study or proof-of-concept typically takes 2-4 weeks; production-ready systems usually run 2-6 months. We give you a concrete timeline after a scoping call — and we'll tell you up front if a project isn't ready yet.
Do you work with startups or only enterprises?
Both. Whether you're a startup validating whether computer vision is feasible or an enterprise scaling vision systems across sites, we tailor the approach to your stage, hardware, and budget.
Can your models run on-device or at the edge?
Yes — that's our specialty. We optimize models with quantization and distillation to run with low latency on edge hardware and GPUs, and we deploy to the edge, the cloud, or a hybrid of both depending on your latency and data-residency needs.
What is your engagement model?
We offer project-based engagements, dedicated team augmentation, and ongoing retainers for monitoring and retraining. We'll recommend the best fit during the scoping call.