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JIDOKA Technologies Pvt.Ltd

The startup offers an inspection platform that employs deep learning algorithms and artificial intelligence for precise defect detection in manufacturing processes. This technology enhances product quality and operational efficiency while reducing production downtime and ensuring regulatory compliance.

Traction 10/10
Chennai, India · HQ
Founded 2018352K+ followers
  • Artificial Intelligence
  • Data & Analytics
  • Hardware
  • Industrial Automation
  • Manufacturing / Industry 4.0
Updated 21 months ago

Funding

Raised to date

$440KRaised 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.

Funding rounds are not available yet.

Founders

2 founders

Krishna Iyengar

CTO Computer Vision AI / Manufacturing Quality

Sathya Pramod

Sathya Pramod

Product

Problem

Manual quality control processes in manufacturing are prone to human error, leading to defects, customer complaints, and costly product recalls. Traditional machine vision systems often fail to detect subtle or complex defects, resulting in missed issues and bottlenecks in production. The lack of comprehensive defect data hinders root cause analysis and continuous process improvement efforts.

Solution

Jidoka Technologies offers an AI-powered inspection platform that automates defect detection in manufacturing, enabling companies to achieve near-perfect accuracy and improve operational efficiency. The platform combines intelligent software, Kompass, with modular vision hardware to catch defects that human eyes and traditional vision systems miss. By integrating AI and automation, Jidoka provides cognitive inspection of defects, minimizes variation, and boosts productivity with a standardized, scalable solution. The system supports high-speed inspection, consistent standards across shifts, and end-to-end traceability for process improvements.

Target Audience

The primary target audience includes manufacturers in the automotive, FMCG, pharmaceuticals, electronics, and general manufacturing industries, as well as companies in warehousing and logistics.

Features

  • Kompass: Deep-learning-based software for defect detection, sorting, counting, and classification.
  • Nagare: Software for intelligent process optimization, guiding operators through each step with real-time verification.
  • Modular Vision Hardware: Customizable suite of hardware solutions, including Huron (360° multi-camera inspection), Tigris (twin conveyor system with part-flipping), Miyake (manual loading station), and Fujin (two-axis inspection table).
  • Defect detection accuracy of up to 99.9%.
  • High-speed inspection processing up to 12,000 parts per minute.
  • Real-time process monitoring and correction.
  • Integration with existing production lines.
  • Batch-wise defect analytics with visual libraries for root cause analysis.
This profile is AI-generated and may contain inaccuracies.