
RIIICO converts reality scan data into detailed, CAD-ready 3D models to accelerate factory design and engineering workflows. Their web-based platform applies deep learning and object recognition to…

RIIICO converts reality scan data into detailed, CAD-ready 3D models to accelerate factory design and engineering workflows. Their web-based platform applies deep learning and object recognition to…
What they do: Convert reality-capture (LiDAR/3D scan) data into CAD-ready 3D models and virtual factory twins via a browser platform using AI.
Founded: 2021
Headcount (reported): 39 employees
Notable integrations: Siemens Tecnomatix, Dassault 3DExperience, NVIDIA Omniverse, Bentley MicroStation
Reported funding: $5M seed (reported); total funding listed as $7,500,000
Digital twin, factory digitization, brownfield engineering, simulation and robot programming.
2021
IT Services and IT Consulting
$5,000,000
Reported seed round to support factory-digitization product development.
“Backed by institutional investors including Earlybird, Pi Labs and seed + speed, and by industry angel investors (e.g., Joe Kaeser).”
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At RIIICO , we’re reimagining how factories adapt to change. Our AI-powered software makes complex production environments editable, interactive, and collaborative – turning manufacturing planning into something anyone can engage with, not just the experts.
We’re looking for a Data Operations Engineer to help power the foundation of our digital factory experiences.
In this role, you’ll work at the intersection of 3D reality and AI, transforming raw point cloud data into accurate digital twins of real-world production environments. From data acquisition to model generation and delivery, you’ll be responsible for ensuring quality, consistency, and continuous improvement across our data pipeline.
Tasks
Process 3D scan data (point clouds) and transform it into usable digital factory models using our internal tools and workflows.
Configure and verify model outputs to ensure quality, consistency, and usability for downstream applications (e.g., Nvidia Omniverse, Siemens Plant Simulation and others).
Collaborate with AI-assisted tools to validate and correct automated results.
Flag and troubleshoot anomalies or edge cases in raw or processed data.
Continuously improve workflows and documentation based on team feedback and real-world challenges.
Requirements
Strong attention to detail and ability to reliably handle repetitive tasks with care.
Self-motivated and dependable – you take responsibility and get things done.
Team player with a proactive mindset – you enjoy working in a young, collaborative environment.
Benefits
Additional vacation days
Flexible working hours
Hybrid Office Culture
Job Ticket, Urban Sports Club Membership, and more
Why You Should Join
Build something that makes a tangible difference in the world’s most important sector - manufacturing.
Shape a product from first principles, not just manage what’s already built.
Collaborate with a sharp, hands-on team that values speed, clarity, and ownership.
Competitive salary.
Backed by top international investors and on a path to scale.
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Fast learner – no prior experience with point clouds required; you’re comfortable picking up new tools and workflows quickly.
Basic digital literacy – you’re confident navigating structured software tools and browser-based interfaces.
English is a must; proficiency in German is a plus for clear communication with the team.
Bonus: Familiarity with 3D environments (e.g., through gaming, CAD, or similar), or a general spatial intuition.