See the only full-cycle Physical AI inspection platform in action

Grid Dynamics and Lincode are exhibiting at Automate 2026, showcasing Incarno, a Physical AI robotic inspection platform integrated with Lincode’s LIVIS system.

What makes this solution unique in the industry is that it covers the full inspection cycle in a single, highly automated workflow:

  • Automated planning: toolpath generation from CAD models, including complex geometries and multi-seam surfaces, with instant feasibility analysis
  • Path execution with vision-guided localization: adaptive, real-time robot guidance during inspection
  • Image analytics: powered by specialized foundation models purpose-built for manufacturing defect detection, running at under 40ms latency
  • Process optimization: closed-loop feedback that uses analytics results to continuously improve inspection programs

Manufacturers like Schneider Electric, Audi, Toyota, and Magna are already seeing the impact:

  • inspection cycle times cut from 60 seconds to 5 seconds per unit,
  • false call rates reduced from ~30% to under 3%.

If reducing quality escapes, cutting inspection costs, or scaling to new product lines is on your roadmap, we’d welcome a conversation at the show.

Meet the team

Ilya Katsov

Ilya Katsov

CTO, Americas

See the Full-Cycle Physical AI Inspection Solution at Automate 2026 | BOOTH #15040
Gary Saretzki photo

Gary Saretzki

Director of Business Development, Physical AI and Robotics

See the Full-Cycle Physical AI Inspection Solution at Automate 2026 | BOOTH #15040
Pawel Irzyk photo

Pawel Irzyk

Senior Software Engineer

See the Full-Cycle Physical AI Inspection Solution at Automate 2026 | BOOTH #15040
Dave Zabihaylo photo

Dave Zabihaylo

Senior Director – GTM Automotive

See the Full-Cycle Physical AI Inspection Solution at Automate 2026 | BOOTH #15040

Ilya Katsov

CTO, Americas

Ilya joined Grid Dynamics in 2009, and since then has been leading engagements with a number of major retail and technology companies, focusing primarily on Big Data, Machine Learning, and Economic Modeling. He is currently managing the Industrial AI consulting practice that helps clients to become successful AI adopters and deliver innovate AI solutions. Prior to joining Grid Dynamics, Ilya worked at Intel Research on emerging wireless communication technologies. He is the author of several scientific articles and international patents, and also authored a book, “Introduction to Algorithmic Marketing: Artificial Intelligence for Marketing Operations” (2017).

Gary Saretzki

Director of Business Development, Physical AI and Robotics

Pawel Irzyk

Senior Software Engineer

Dave Zabihaylo

Senior Director – GTM Automotive

Dave Zabihaylo is Senior Director of GTM Automotive at Grid Dynamics, where he helps OEMs and suppliers see and realize what comes next. He has spent his career translating complex AI, data, and automation capabilities into business outcomes, with 15+ years in leadership roles at Provectus & Slalom. He is based in metro Detroit.

Book your 30-minute demo session

Secure a focused, hands-on meeting at our booth to see Incarno in action:

  • Pick your focus: reduce quality escapes, cut inspection cycle times, scale to new product lines, or evaluate a partner integration
  • Meet 1:1 with Grid Dynamics and Lincode inspection and robotics experts
  • Walk away with a concrete deployment assessment and next steps tailored to your production environment

Why INCARNO:

Incarno works with virtually any robotic arm and integrates with standard industrial cameras and factory control systems, making it a natural fit to bundle with your hardware or integration services. Customers get a complete, production-ready Physical AI solution; you gain a differentiated offering backed by proven results.

play

Demo

Agentic harness for large-scale code generation

Translucent UI wireframes with red highlights representing experience debt

Article

Experience debt is the bill AI passes to your customers

AI has dramatically reduced the cost of creating digital experiences while leaving validation largely unchanged. The result is a new form of experience debt that accumulates faster than organizations can detect, eroding customer trust and shifting discovery from internal teams to customers, regulators, and plaintiffs.

Read more

arrow-right
Abstract 3D composition featuring overlapping textured circles in gold, orange, and teal, accented by gold arrows and a stack of gold coins.

Newsletter

Newsletter | Q2 2026

Explore agentic AI frameworks, AI shopping agents, multi-agent enterprise case studies, and evaluation strategies for measuring real business impact.

Read more

arrow-right
Abstract illustration of a person at a laptop surrounded by colorful overlapping rectangles and blocks illustrating practical techniques for agent evaluation.

Article

Practical agent evaluation techniques for a real-world knowledge assistant: A Grid Dynamics case study

With the rapid growth of AI agent usage in production, Grid Dynamics began facing challenges in determining whether agents were healthy, identifying abnormal behavior, and understanding when agent behavior deviated from expected outcomes. This article provides an actionable approach to building evaluation services for agentic solutions, highlights common caveats, and outlines what a practical agent

Read more

arrow-right
White paper cover visualizing the modern browser AI stack

White Paper

Read more

arrow-right
Abstract commerce scene with workers, carts, and parcels visualizing orchestrated agentic shopping journeys.

Article

The trust architecture: Why most agentic commerce pilots fail, and what separates the ones that don’t

Why agentic AI projects fail in production: trust gaps, weak architecture, and flawed design decisions. Discover UX research insights to help you build trust in agentic commerce.

Read more

arrow-right
Robot arm operating on abstract layered platform

Media & News

Grid Dynamics acquires Ekumen, deepening expertise in Robotics Product Engineering and Physical AI

Grid Dynamics joins forces with Ekumen, a robotics and physical AI product engineering firm, strengthening its ability to help enterprises build, deploy, and scale intelligent robotic systems.

Read more

arrow-right