Top Robotics & Automation Companies Hiring

Discover manufacturers, system integrators, and innovators hiring robotics talent globally

Showing 24 of 1365 companies (Page 19 of 57)

IMA S.p.A. logo

IMA S.p.A.

Privately Held
Industrial Manufacturing Robotics Software & AI Food & Beverage Healthcare & Life Sciences

Since 1977 the name IMA has been synonimous with quality and technological innovation. For 40 years our company has dedicated itself to the production of automated machinery and equipment for the garment industry. Thanks to the dedication of our personnel we've been growing each year and nowadays we stand as world leaders in the cutting room equipment industry. Our decades-long experience, mixed with the energy and the talent of a young and driven team, is what allows us to steadily keep walking on the road of innovation. After being pioneers of digital technology with the creation of the first full-digital spreading machine we are now pioneers of Industry 4.0 with our latest creation: "Syncro Cutting Room"​ Dal 1977 il nome IMA è sinonimo di qualità ed avanguardia tecnologica.Da quarant'anni la nostra azienda si occupa della produzione di macchinari ed impianti per l'industria della confezione. Grazie alla dedizione e competenza del nostro team l'azienda è cresciuta al punto da diventare leader nel settore. La nostra esperienza pluridecennale ,unita al talento ed all'energia di un personale giovane e motivato, ci consente di poter continuare ad intraprendere tutt'oggi la strada dell'innovazione. Dopo essere stati pionieri della tecnologia digitale grazie alla creazione del primo stenditore con elettronica full-digital oggi siamo pionieri dell'industria 4.0 con la nostra ultima creazione "Syncro Cutting Room"​.

MARSS logo

MARSS

Privately Held
Robotics Software & AI Aerospace & Defense

MARSS is a global defence and security technology company specialising in AI-enabled Command and Control (C2/C4I), autonomous mission management, and multi-domain surveillance. Founded in 2005, MARSS has built its technology leadership through long-standing collaboration with NATO, defence agencies, governments, academia, and industry. Today, MARSS delivers advanced, sensor-agnostic solutions that integrate data from across air, land, sea, and subsurface domains into a single, coherent operational picture. At the core of MARSS capability is NiDAR, an AI-powered platform that transforms complex sensor data into real-time, actionable intelligence. By enabling faster decision-making, reducing operator burden, and supporting coordinated responses across multiple domains, MARSS provides decision superiority in increasingly complex threat environments. Trusted by defence forces, national security agencies, and critical infrastructure operators worldwide, MARSS supports the protection of nations, borders, naval assets, and high-value environments. With deployments across more than 60 strategic locations, MARSS combines global experience with local delivery to meet the evolving demands of modern defence. Through continuous investment in artificial intelligence, autonomy, and data fusion, MARSS is shaping the future of command and control — delivering scalable, future-ready capabilities to outperform the threats of tomorrow, today.

SpAItial logo

SpAItial

Privately Held
Transportation & Autonomous Vehicles Robotics Software & AI

Wherobots is the AI Context Engine for the Physical World: the platform that grounds AI in physical-world reality at planetary scale. Every AI application depends on context: the data, structure, and semantics that ground model outputs in physical reality. The last decade built robust context infrastructure for text: vector databases, RAG pipelines, semantic search. The physical world has no equivalent layer. AI agents can query databases but remain blind to where things are, what is happening around them, and how geography shapes risk and opportunity. Wherobots is that infrastructure. The platform lets teams process satellite imagery at global scale, run precise spatial joins across billions of geometries without failure or approximation, deploy computer vision models on Earth data without building inference infrastructure from scratch, and give AI agents persistent memory of their organization's entire physical-world knowledge base. All of it runs on standard SQL and Python, inside the tools developers already use. Overture Maps Foundation accelerated its 2.6 billion building geometry pipeline by up to 20x with no code changes. GeoPostcodes reduced processing time from 39 days to under one day. [Aarden.ai](http://Aarden.ai) cut statewide geospatial compute from 7 days to 30 minutes. Built by the original creators of Apache Sedona, learn more and get started at www.wherobots.com