CEO
Inbolt
10/10Traction
Inbolt provides an AI-powered vision guidance platform that enables industrial robots to see, think, and adapt in real time, eliminating the need for precise part positioning or custom fixturing. The system deploys on existing robots from major brands like FANUC, ABB, and KUKA, with installation completed in hours and setup trained directly from CAD models. Already operating across more than 100 factories worldwide, the solution reduces downtime and extends the life of automation assets.
- Industrial Automation
- Manufacturing / Industry 4.0
- Robotics
- Artificial Intelligence
- Software Only
Updated 4 days ago
Funding
Raised to date
€30MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Est. $32.7Macross 2 rounds
BPEVLDMC+1€15M · Series A
Announced Sep 2024 · from article date
Disclosed cumulative: $19.6M
2/2
RoundDateAmountValuationInvestors
Founders
Product
Problem
Traditional industrial robots require precise part placement and fixturing, leading to high costs for custom tooling and inflexible automation setups. Programming and reprogramming robots for new parts or variations is time-consuming, often requiring specialized expertise and lengthy downtime. In dynamic or unstructured environments, robots struggle to adapt to variations in part position or orientation, leading to errors and reduced efficiency.
Solution
Inbolt's generalist AI vision model gives both existing and new robots the capability to see, think, and adapt in real time. A 3D camera mounted on the robot arm captures data, which is processed by a digital twin-trained generalist vision model that understands the environment without requiring datasets or labeling—users simply upload a CAD model and the robot is ready for production. The system includes a robot programming module that builds a digital twin of the station to validate paths for reach and cycle time before physical deployment, and a universal control layer that provides adaptive motion control in real time. Compatible with FANUC, ABB, KUKA, Yaskawa, UR, and Comau robots, the solution can be retrofitted to existing stations in hours, delivering ROI in as little as three months while minimizing downtime.
Target Audience
Primary customers are manufacturing companies in automotive, electronics, data centers, and home goods industries seeking to increase productivity and flexibility of both existing and new robotic workstations for assembly, handling, quality control, and material placement processes.
Features
- Digital twin-trained generalist vision model that recognizes parts instantly without datasets or labeling
- CAD model upload for rapid AI training and production readiness
- Real-time adaptive robot control that responds to actual part position and orientation
- Universal control layer compatible with FANUC, ABB, KUKA, Yaskawa, UR, and Comau robots
- Station digital twin for trajectory validation, reach checking, and cycle time optimization before physical deployment
- Deployment in hours for existing stations with pre-trained algorithms and CAD-based setup
- Proven results in factories, including cost reductions and improved throughput in applications like bin picking, pick and place, fastening, and dispensing