Cybord · raw details

AI-based Visual Inspection for Electronic Component Analytics and Traceability · Herzliya · Founded 2018

active Series A ← back to profile

Highlights

IIA supported (ever)1 patentProfile claimed by owner

About

AI-based Visual Inspection for Electronic Component Analytics and Traceability

Cybord's software solutions monitor placements on SMT lines in real time and eliminate the use of nonconforming electronic components during product assembly, while arming OEMs and EMSs with visibility and traceability. Using artificial intelligence and big data, Cybord's technology detects counterfeit, defective, and tampered components, including hardware-based cybersecurity threats. Component defects are addressed during placement and before reflow, simplifying rework and improving product reliability. By integrating with MES systems, nonconforming material is placed on quarantine and prevented from being used. Manufacturers get a dashboard view of all assembled components, assembled boards, and traceability data from multiple production sites and contract manufacturers. Alongside inspection, early repair, and prevention, Cybord creates placement traceability (as-made certificate) that combines material inspection, documentation, and visual imagery to establish material provenance with intelligent board/component tracking for better recall management.

Identity

NameCybord
Slugcybord
Former namesCounterchip
Type / kindstartup
Crunchbase IDcybord
Source _idagxzfmlsbGlzdHNpdGVyGAsSC05ld19Db21wYW55GICA4Niw9-8IDA

Status

Statusactive
Last update2026-05-17

Location

HQ country codeIL
HQ region/districtCenter District
HQ cityHerzliya
HQ addressAbba Eban Boulevard 10, Herzliya, Israel

Web & social

Websitehttps://cybord.ai
Careers pagehttps://cybord.ai/careers
LinkedInhttps://www.linkedin.com/company/35476171
YouTubehttps://www.youtube.com/channel/UCJJVAL0_q4nzEw-PwBm6Dig

Classifications

Primary sector Industrial Technologies
Sub-sectors
Industrial TechnologiesOperational Optimization Solutions
Technologies
Platforms & InterfacesSoftwareArtificial IntelligenceMachine Learning
Target customers
Enterprise & Professional ServicesITData CentersIndustrial ManufacturingDiscrete IndustriesDefenseAutomotiveSemiconductors & ElectronicsHealthcare & Life SciencesHealthcareCommerce & RetailDistribution ChannelsSupply ChainCommunication Services
Business models
B2GB2B
Tags
visual-inspectionbrand-protectionbig-dataaviationmanufacturing-facilitiesaerospacemilitaryanti-fraudinspection-and-testingmachine-learningartificial-intelligenceautomotiveindustry-4-0supply-chain

Funding

Total raised$19.9M
Current stageSeries A

Raw source document

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