ia.
internal automation

Internal Automation
Built to work. Yours to run.

Computer Vision Solutions. Spotted.

Cameras that count, inspect, and flag what people miss. Give your business the power of sight with AI that analyzes images and video for actionable insights.

Book a Fusion Workshop
Openopen-weight families, tuned on your data, self-hostable
~30days from your data to a fine-tune in production
100%yours: trained weights, adapters, retraining pipeline
10-80-10payment terms: start, build, handover

The spec.

The build, stage by stage. This is what the design phase papers and prices.

01TriggerImage or video in. A camera, upload, or feed produces visual data.
02The readDetect + classify. The model finds, counts, or grades what matters.
03The writeOps system. Results post to the workflow that acts on them.
04The handoffFlag, count, or route. A decision or alert without manual review.

You own the build. The workflow, the integrations, and the credentials live in your accounts, not ours. Documented, handed over, yours.

Fixed price. Fixed date.

01FusionA Fusion Workshop. Your team and ours, one room, the workflow on the whiteboard. You leave with the plan whether or not you hire us.
02DesignWe spec the build: every trigger, every integration, every handoff. It ends with a fixed price and a live date.
03BuildThe first workflow is live in weeks; a full deployment runs three months to a year. 10% to start, 80% across the build, 10% at handover.
04RunIt runs in your accounts under your credentials. Keep us on support, or take the keys.

The walk-away: If automation will not pay for itself in your operation, we say so at the workshop, and you keep the map.

What we need from you: a decision-maker in the workshop, system access by week one, and honest answers about how the work really flows.

The receipts.

Builds on the same system. Every number is measured, not promised.

Adjacent builds.

Most engagements expand into one of these after the first build proves out.

Voice AI and Phone SystemsAI Inventory ManagementAI-Powered Accounting and BookkeepingCustom AI Software DevelopmentAI Data Entry Automation

Straight answers.

Do I need special cameras or equipment for computer vision?

In many cases, your existing camera infrastructure is sufficient. Standard IP security cameras, webcams, and even smartphone cameras can serve as input sources for many computer vision applications. For specialized applications like detailed quality inspection or wide-area monitoring, we may recommend specific camera models optimized for the task. We assess your current setup during consultation and recommend only the equipment upgrades that are truly necessary.

How does computer vision handle privacy concerns?

Privacy is a critical consideration in all our computer vision deployments. For customer analytics, we use anonymized analysis that tracks movement patterns and demographics without identifying individuals, no facial recognition data is stored. For employee-facing applications, we work with you to ensure compliance with workplace monitoring laws and best practices. All deployments include clear signage, data retention policies, and access controls aligned with privacy regulations.

How accurate is AI visual inspection compared to human inspectors?

AI visual inspection typically achieves 95-99% accuracy for trained defect types, compared to 80-90% for human inspectors who suffer from fatigue, distraction, and inconsistency over time. The AI also operates at much higher speeds, inspecting hundreds of items per minute compared to human rates of dozens per minute. The combination of higher accuracy and higher throughput means AI visual inspection delivers dramatically better quality control at lower cost.

Can computer vision work in real-time?

Yes. Modern computer vision models are highly optimized for real-time processing. Depending on the complexity of the analysis, our solutions can process video feeds at 15-60 frames per second, meaning analysis happens faster than the human eye can follow. For applications like quality inspection on production lines or security monitoring, real-time processing is standard. Some complex analyses may run on slight delays of seconds rather than milliseconds, but this is still fast enough for virtually all business applications.

Put it to work. Book a Fusion Workshop. →