How long until we have a working inspection model?

Most deployments reach production-grade accuracy in 4–8 weeks, depending on footage availability and complexity of defect patterns. We start with a pilot cell and expand.

Does our production data leave the facility?

No. Models run on-site on edge hardware. Training data stays on your network; we support fully air-gapped deployments where required.

What hardware do you require?

Industrial cameras appropriate to your cycle time and resolution needs, paired with an on-site inference box. We'll spec and install both as part of the engagement.

How does this integrate with our MES / PLCs?

Via standard OPC-UA, MQTT, or direct digital I/O. Alerts, counters and trace data can flow into your existing quality stack without custom middleware.

Industrial Vision AI

AI-based visual inspection, calibrated for your production.

Standard quality control systems often fail when the challenge is unique. Kadavision is a custom-built solution that detects errors and anomalies in real time, tailored to your environment.

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Avg accuracy: 99.4%
Latency: <40ms
Deployments: 80+

Trusted by innovative manufacturing teams

The gap in the market

Off-the-shelf vision tools weren't built for your line.

The Challenge

Boxed tools fail unique workflows.

Standard packages assume a clean, predictable environment. Real production lines rarely cooperate.

Unreliable error detection
Generic models miss subtle, context-specific defects.
Frequent false positives
Operators lose trust, alerts get ignored, quality slips.
Expensive process compromises
You bend the line to fit the tool — not the other way around.

Our Solution

Precision that fits your exact process.

Whether monitoring robotic assembly, checking alignment, or identifying surface defects, we train the system based on your real production examples.

Trained on your own examples
Your components, your lighting, your edge cases.
Real-time detection at line speed
Sub-40ms inference, integrated with your PLCs.
Deployed on-site, maintained remotely
Data stays yours. Updates stay seamless.

Platform

System Capabilities

Four core modules, shipped as one integrated inspection layer — configurable per cell, per line, per site.

See how we deploy

Workflow Monitoring

Continuous visual tracking of assembly sequence, cycle time and operator actions.

Anomaly Detection

Spot defects, deviations and drift — even ones your team hasn't explicitly labeled yet.

Instant Alerts

Push notifications, PLC triggers, and dashboards — routed by severity and station.

Optimization Data

Trendlines, root-cause clusters, and exportable reports for continuous improvement.

The deployment

How it works

From site walkthrough to live inspection in weeks, not quarters. We stay embedded through the first production runs.

typical timeline4–8 weeks

Understand

Map your workflow on-site, define the challenge, and gather initial footage of your production reality.

Train

The AI learns from your real-world examples — your parts, your lighting, your acceptable variance.

Monitor

Continuous analysis of live visual feeds, integrated with your PLC layer and MES dashboards.

Alert

Instant, prioritized notifications route to the right operator or system for intervention.

Questions

Common questions from plant managers.

Contact

Get in Touch

Book a call to see Kadavision in action, or send us a message and we'll get back to you.

Send Us a Message

Tell us about your production challenge and we'll tailor a demo to your environment.

Ready when you are

Ready to adapt AI quality control?

Let's train Kadavision on your real production scenarios — and show you the results on your own footage within two weeks.

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