Protostar Labs Company Profile

Background

Overview

Protostar Labs is a European research and development (R&D) company based in Osijek, Croatia, specializing in innovative AI-powered technologies for industrial and space applications. Founded in 2019, the company aims to position Croatian innovation at the forefront of the global space industry while driving progress in critical sectors such as biotechnology, manufacturing, and defense.

Mission and Vision

Protostar Labs is dedicated to developing and delivering cutting-edge AI solutions that enhance efficiency, quality, and safety across various industries. The company's vision is to pioneer Croatian technology in the space sector and other critical industries, including biotech, manufacturing, and defense.

Industry Significance

By integrating AI and computer vision technologies, Protostar Labs addresses complex challenges in industrial and space applications, contributing to advancements in autonomous systems, real-time data processing, and edge computing. Their work supports sectors such as defense, robotics, and industrial automation, where precision and durability are critical.

Key Strategic Focus

Core Objectives

• Innovation in AI and Computer Vision: Develop advanced AI algorithms and computer vision systems to solve complex industrial and space challenges.

• Edge Computing Solutions: Provide real-time data processing capabilities on edge devices, reducing latency and bandwidth usage.

• Multispectral Imaging: Utilize imaging technologies beyond the visible spectrum for applications in material analysis and environmental monitoring.

Areas of Specialization

• Industrial Vision Systems: Design and implement vision systems for quality control and process optimization in manufacturing environments.

• Space Systems: Develop onboard data processing solutions and optical payloads for satellite missions.

• Data Science and AI: Offer data analytics services to extract actionable insights and support decision-making processes.

Key Technologies Utilized

• Artificial Intelligence (AI): Employ machine learning and deep learning algorithms for data analysis and pattern recognition.

• Computer Vision: Implement image processing techniques for object detection, tracking, and recognition.

• Edge Computing: Deploy AI models on resource-constrained devices for real-time processing.

• Multispectral Imaging: Capture and analyze data across various wavelengths to gain insights beyond the visible spectrum.

Primary Markets Targeted

• Industrial Manufacturing: Enhance production processes through automated quality control and process monitoring.

• Space Exploration: Provide onboard processing and imaging solutions for satellite missions.

• Defense and Security: Develop technologies for surveillance, reconnaissance, and autonomous systems.

Financials and Funding

As a privately held company, Protostar Labs has not publicly disclosed detailed financial information or funding history. The company has been recognized for its innovative approach, including joining NVIDIA's Inception program, which supports startups revolutionizing industries with technological advancements.

Pipeline Development

Protostar Labs is actively involved in several research projects, including:

• SKORPI: Development of scalable cameras and optical filters for industrial applications.

• Advanced System for Anomaly Detection in Industrial Processes: Creating systems to identify and address anomalies in manufacturing processes.

• PROTOSTARE-AI: A project focused on spatial and temporal interpolation of satellite radiometric reflectance readings using ground-based sensor nodes, artificial intelligence, and edge computing.

• FPGA Module for Visual Inspection: Designing a module for fast visual inspection of products and real-time data processing using deep neural networks.

These projects aim to advance the company's capabilities in AI, computer vision, and edge computing, with applications across various industries.

Technological Platform and Innovation

Proprietary Technologies

• Onboard Data Processing Solutions: Fault-tolerant systems designed for real-time data analysis directly on edge devices, such as satellites and drones.

• Optical Payloads and Camera Systems: Compact imaging solutions engineered to integrate seamlessly with onboard processors, enabling efficient data capture and interpretation.

Significant Scientific Methods

• Multispectral Imaging: Capturing and analyzing images beyond the visible spectrum to gain insights into material composition and environmental conditions.

• Synthetic Data Generation: Creating artificial datasets that mimic real-world scenarios to train machine learning models effectively, enhancing algorithm robustness and accuracy.

• Edge AI Deployment: Optimizing AI models for deployment on resource-constrained devices, enabling real-time data processing without reliance on cloud connectivity.

Leadership Team

• Filip Novoselnik: CEO & Co-Founder.

• Mihael Španović: Head of Engineering.

• Tomislav Kudeljnjak: Head of Hardware Development.

• Ivica Skokić, PhD: Research Scientist.

• Marko Žilić: Head of Business Development.

• Marko Mamić: R&D Engineer.

• Marko Šprem, PhD: Research Scientist.

• Emil Silađi: Senior Software Engineer.

• Mihaela Orić: R&D Engineer.

• Aldin Ćebo: Senior Consultant.

• Ante Renić: Senior Space Systems Engineer.

• Hrvoje Prgić: Senior FPGA Engineer.

• Igor Radić: Software Engineer.

• Tea Gabrić: HR and Office Manager.

• Kristijan Paradžiković: Software Engineer.

• Miljenko Petrović: Software Engineer.

• Filip Gembec: FPGA Engineer.

• Juraj Todić: Machine Learning Engineer.

• Igor Delić: Software Engineer.

Advisory Board

• Dubravko Babić, PhD: Board Advisor for R&D.

• Luka Strišković: Board Advisor for Compliance and Strategic Development.

• Vlatko Galić, PhD: Senior Data Scientist.

• Iulian Emil Juhasz: Board Advisor.

Competitor Profile

Market Insights and Dynamics

The market for AI-powered industrial and space technologies is expanding, driven by the increasing adoption of automation, real-time data processing, and edge computing across various sectors. Protostar Labs operates in a competitive landscape with several key players offering similar solutions.

Competitor Analysis

• Xometry: An on-demand manufacturing platform connecting businesses with a network of manufacturers, offering services such as CNC machining, injection molding, and 3D printing.

• Fictiv: Provides a digital manufacturing platform focusing on rapid prototyping and production services, emphasizing quick turnaround times and quality assurance.

• Shapeways: Specializes in 3D printing services, offering a wide range of materials and finishes for custom manufacturing needs.

• Sculpteo: Offers 3D printing, laser cutting, and digital manufacturing services, catering to both individual consumers and businesses.

Strategic Collaborations and Partnerships

Protostar Labs has joined NVIDIA's Inception program, which supports startups revolutionizing industries with technological advancements. This partnership provides access to hardware and software resources necessary for developing, training, and deploying AI models across various industries.

Operational Insights

Protostar Labs differentiates itself through its focus on integrating AI and computer vision technologies into industrial and space applications, offering tailored solutions that address complex challenges in these sectors. The company's expertise in onboard data processing and edge AI positions it as a key player in the market for autonomous systems and real-time data analytics.

Strategic Opportunities and Future Directions

Protostar Labs is well-positioned to expand its offerings in the defense and security sectors, leveraging its expertise in autonomous systems and real-time data processing. The company's ongoing research projects and strategic partnerships provide a solid foundation for future growth and innovation in AI-powered industrial and space technologies.