Build Your Own Model
Partner with VisionAery’s computer‑vision experts to design, train, and deploy a custom model tailored to your unique operational or safety challenge. We supply the proven workflows, edge‑ready frameworks, and hands‑on guidance while you steer the requirements and own the IP, shortening time‑to‑value without the steep learning curve.
Our Process
Phase 1 - Feasibility Study (2-6 Weeks)
We interview stakeholders, audit existing data, and benchmark environmental constraints to confirm that computer vision is the right fit. Our team researches viable tech stacks, estimates difficulty and ROI, then delivers a written report with a level‑of‑effort quote and implementation roadmap.
Phase 2 - Data Gathering and Alpha Release (4-12 Weeks)
We collect, label, and augment images or video to create a robust training set, spinning up pipelines to keep data flowing. The first “alpha” model—no UI, just core inference—ships quickly so customers can validate basic detection accuracy and spot edge‑case gaps early.
Phase 3 - Beta Release and Settings (8-24 Weeks)
A stronger model replaces the alpha, paired with lightweight dashboards and alert hooks. Together we dial in thresholds, filter out nuisance alarms, and refine label definitions so precision and recall climb while false positives fall.
Phase 4 - Production Model and Fine Tuning (4-12 Weeks)
The model reaches production maturity and is integrated with the chosen tech stack; final hyper‑parameter tweaks and dataset expansions push performance to target SLAs. Installation guides, rollback plans, and training materials are completed for a smooth hand‑off.
Phase 5 - Support and Maintenance (Ongoing)
Post‑launch, our engineers monitor health metrics, apply hotfixes, retrain on new edge‑cases, and roll out feature upgrades under a support SLA. Regular check‑ins ensure the model evolves with your operations and continues to deliver reliable, actionable insights.