Industrial AI
Starts Here.
An AI Stack for
Builders & Manufacturers.

Give developers the tools to build AI — and factories the vision systems to automate surface inspection.

Illustration of rocket symbolizing Robolaunch Industry Cloud Platform infrastructure with icons for AI, GPU orchestration, edge AI, and computer vision applications.

Trusted by leading manufacturers & investors

Ford Otosan logo, featured as a reference on the robolaunch homepage.
Beko logo, featured as a reference on the robolaunch homepage.
Simya VC logo, featured as a venture capital reference on the robolaunch homepage.
Logo for Invest 101
Driventure logo, featured as a venture capital reference on the robolaunch homepage.
OFFERINGS

Explore the robolaunch Industrial AI
Product Suite

FOR FACTORY QUALITY TEAMS _

01_ Vision AI Engine

A production-ready AI inspection engine built for automotive manufacturing. Detect every defect, at every station, with zero line redesign and fast deployment.

Press Shop

Capture stamping
defects instantly.

EXPLORE

Body Shop

Secure BIW integrity
before paint.

EXPLORE

Paint Shop

Guarantee paint-perfect
finishes.

EXPLORE

Final Assembly

Test final appearance
before delivery.

EXPLORE

FOR AI DEVELOPERS _

02_ AI Infrastructure

An end-to-end AI development platform to build, simulate, and deploy intelligent applications — powered by GPU orchestration, real-time collaboration, and flexible on-prem/cloud deployment.

HIDDEN ISSUES

Real-World Blockers for AI Innovations

“AI projects don’t fail
because of bad models.
They fail because of
everything else.”

85%

Failed AI Projects

A significant percentage of AI projects fail to transition from prototype to production due to challenges in scaling and lack of necessary tools.

13%

Companies Delivering Results

13% of organizations are effectively delivering on their data strategy, highlighting challenges in managing the end-to-end lifecycle of machine learning projects.​

70%

Blocked by Infrastructure

Many AI teams identify infrastructure limitations as a significant barrier to achieving production readiness for their AI initiatives.

63%

Require On-Prem or Hybrid

A significant portion of industrial AI initiatives necessitate on-premises or hybrid deployment models to meet performance and compliance requirements.​

Where AI Meets the Real World

Experience the Next Era of AI-DRIVEN OPERATIONS

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