Overview AI vs Kitov.ai
Both call what they do physical AI, and both are right. Kitov.ai moves an optical head around a part on a robot. Overview AI holds still and inspects the part as the line brings it past.
The difference between Overview AI and Kitov.ai is whether the camera moves: Kitov mounts an optical head on a robot arm to inspect a complex part from many angles, planned against its CAD model, while Overview AI is a fixed camera that inspects a part as it passes a station.
Kitov.ai, out of Israel, builds robotic optical inspection: KITOV CORE and CORE+ pair a six-axis arm with a rotating table, K-Sphere puts their optical head on virtually any robot or cobot, and X-Prime targets surface inspection in aerospace, defence, medical and turbine manufacturing. QC engineers plan the inspection on a CAD model rather than programming each view. Overview AI answers a different question: a fixed camera at a station, trained from example images, making an accept or reject call in milliseconds as the part goes by.
Overview AI vs Kitov: Side by Side
| Capability | Overview AI | Kitov |
|---|---|---|
| How the part is imaged | Fixed camera, moving part: The camera is mounted at a station and inspects each part as the line presents it. | Moving camera, fixed part: A robot arm carries the optical head around the part, covering many angles and faces from one setup. |
| How the inspection is planned | From example images: Show the camera good and bad parts in a browser. No CAD model required. | From the CAD model: QC engineers define inspection points on the 3D model, which Kitov says saves weeks against programming views by hand. |
| Best-fit part | Repeating parts at volume: The same component arriving over and over, where cycle time matters and the defect is on a face you can see. | Complex, high-value assemblies: Geometrically complex parts needing 360 degree coverage, where a few seconds of robot movement per unit is acceptable. |
| Cycle time | Milliseconds: Inference runs on the camera. Typical inspections complete in well under a second. | Seconds to minutes: Robot travel between viewpoints sets the cycle, which suits low-volume, high-value work rather than a fast line. |
| What you install | One IP67 camera: Mount it, power it, point it. No robot, no cell, no guarding. | A robotic cell: Arm, optical head, controller and often a rotating table, with the floor space and safety guarding that implies. |
| Pricing | Published: $4.5K to $13.5K: Per-camera pricing listed on the site and the shop. | Quoted per system: No public pricing. A robotic inspection cell is a materially larger capital item than a camera. |
Kitov details are based on publicly available information as of June 2026 and may change. Verify current specifications with the vendor.
Sources: Kitov.ai systems · Kitov.ai technology
Where Overview AI Has the Edge
No cell to build
A camera on a bracket, not a robot with guarding and floor space.
Line-speed decisions
Milliseconds per part, so inspection does not set the cycle time.
No CAD model needed
Train from photographs of real parts, including parts you were never given a model for.
Pricing you can see
Per-camera pricing is published, against a quoted robotic cell.
Deploys in days
One to three days, by your own team, with no robot integration or safety assessment.
Scales by adding cameras
A second station is another camera, not another cell.
Advanced GenAI Tools
Built-in GenAI tools, not just inspection
Overview includes a suite of generative AI tools that help you train faster and integrate sooner, beyond running the inspection itself.
OV Auto-Defect Creator
Generates realistic synthetic defect images from a handful of samples, built with NVIDIA, so you can train on defects you rarely or never see on the line.
OV Auto-Integration Builder
Speeds up connecting inspection results to your line and systems, cutting the custom integration work a deployment usually requires.
Kitov plans inspections from a CAD model, which is a different answer to the same problem: how do you cover a part without hand-programming every view. Overview approaches it from training data instead, using the Auto-Defect Creator to generate defect images when real ones are scarce.
Manufacturers running Overview AI in production
Manufacturers running Overview AI in production
Overview AI vs Kitov: Frequently Asked Questions
What is the main difference between Overview AI and Kitov.ai?
Kitov.ai moves an optical head around a stationary part on a robot arm, planning the inspection from the part’s CAD model. Overview AI is a fixed camera that inspects parts as the line brings them past, trained from example images rather than a model. Kitov suits complex low-volume assemblies; Overview suits repeating parts at line speed.
Can Overview AI inspect all sides of a part?
Not from one camera. A fixed camera sees the faces pointed at it, so full coverage means multiple cameras or a fixture that presents each face. If you genuinely need 360 degree coverage of a complex geometry from one station, a robotic system like Kitov is the right architecture and we will say so.
Is Kitov faster or slower?
Slower per part by design, because the robot has to travel between viewpoints. That is the correct trade for a high-value aerospace or turbine component and the wrong one for a connector arriving every two seconds.
Do I need a CAD model to use Overview AI?
No. Training is from photographs of real good and bad parts, typically a few dozen images. That matters when you inspect parts from a supplier who never gave you a model.
Which costs more?
Kitov does not publish pricing, but a robotic inspection cell with an arm, optical head, controller and guarding is a substantially larger capital item than a camera. Overview publishes per-camera pricing from $4.5K to $13.5K.
See Overview AI on Your Parts
Tell us what you need to inspect and a vision engineer will show you how Overview catches it, typically with a system running on your line within days.