Introduction
Lincode Labs is headquartered in San Jose, United States founded in 2017 and is covered in Brel’s AI in Manufacturing sector. Leadership referenced in company materials includes Rajesh Iyengar.
Public company materials describe the firm as building AI software for manufacturing workflows. Brel’s working summary of the product scope: Develops an AI-driven visual inspection platform to identify surface defects and anomalies during assembly workflows.
This profile uses only company-linked sources captured during the 2026-07-10 import review. Funding, valuation, headcount, and ranking claims from third-party listicles are omitted unless a company-specific URL in the source list supports them.
What the company does
Lincode Labs positions its product around the following use case: Automates defect detection and quality metrics collection on high-speed manufacturing lines. Secondary focus noted in research intake: Computer Vision.
Buyers should treat vendor marketing claims as unverified until confirmed in a live evaluation against their own data, compliance, and integration requirements.
Who it serves
Stated buyers and users include: Automotive electronics and plastic component manufacturers
Procurement teams should confirm whether the deployment model (SaaS, on-prem, hybrid) and data-residency options match their sector obligations before pilot expansion.
Company background
Lincode Labs operates from San Jose, United States. Company materials cite 2017 as the founding year. Rajesh Iyengar is listed as founder or CEO in the intake sources used for this profile.
Brel does not infer prior employers, investor syndicates, or competitive rankings without a company-specific citation.
Product and AI capabilities
Within Manufacturing AI, Lincode Labs concentrates on: Automates defect detection and quality metrics collection on high-speed manufacturing lines.
Exact model architecture, training data rights, and evaluation harnesses are rarely fully disclosed on marketing pages — request technical documentation during vendor diligence.
Key developments
Recent development noted in intake (verify on the linked company page before citing externally): Upgraded inspection engine to classify microscopic cracks and cosmetic blemishes under varying factory illumination.
Why it matters
Lincode Labs matters for Brel readers tracking Manufacturing AI because it represents an active vendor in this category with a verifiable public website and company-linked documentation. Its stated focus — Automates defect detection and quality metrics collection on high-speed manufacturing lines. — is a concrete buying motion teams can compare against peers in the same sector hub.
Use the AI in Manufacturing hub to compare adjacent profiles; do not treat directory presence as an endorsement.
Sector context
Lincode Labs is filed under Brel’s AI in Manufacturing coverage, with secondary theme Computer Vision. Country taxonomy reflects headquarters (United States), not customer geography.
Sources and references
Primary references used for this profile:
- Lincode Labs — official source — https://lincode.ai/product
- Lincode Labs — supporting company page — https://lincode.ai/
Last reviewed 2026-07-10. Request a correction via the form linked on this page if a fact is outdated.