InOrbit's launch of new AI features over the past year has been a game-changer for robot deployments. RobOps Copilot, powered by large language models (LLMs), brings unprecedented AI capabilities to robot operations. This innovative tool democratizes actionable insights, allowing users of all technical backgrounds to easily explore robot and multi-system data. By simply using natural language, users can obtain detailed explanations, refine data analysis, and quickly identify crucial optimization opportunities. 

This achievement is a testament to the vision of InOrbit CTO Ramiro Diaz Trepat. Ramiro joined InOrbit in January 2024 as Head of AI, where he quickly established a robust AI department and led the product team in developing groundbreaking technologies. His appointment as CTO reflects InOrbit's commitment to AI-driven innovation and his leadership in elevating the InOrbit platform to new heights. Today, we're delighted to delve into a conversation with Ramiro about Artificial Intelligence, his unique perspective on smarter RobOps, and his vision for the future of InOrbit.

As the year comes to an end, we wanted to take some time, as we always like to do, and reflect on the past 12 months. 2024 has been a year of breakthrough innovation for robotics, with advancements in artificial intelligence and the growing need for seamless integration between diverse technologies driving significant progress across the industry. At InOrbit, we've been at the forefront of this evolution, focusing on key areas: empowering intelligent robot operations (RobOps) through AI and building deeper, more meaningful connections with partners across the robotics ecosystem.

InOrbit is thrilled to join ARME’s groundbreaking endeavor, ARii (ARME Robotics Interoperability Initiative). As recently announced, this project, driven by the motto "Any robot. Any fleet manager. Fully integrated within any process," is set to make waves in the robotics industry. 🌊ARii aims to enhance interoperability among diverse robotic systems, addressing key challenges like standardizing map representations, managing multi-level maps, and defining traffic rules.

We’re buzzing with excitement and couldn't wait to share some fantastic news with you all. InOrbit.AI has been named a 2024 Gartner Cool Vendor in Logistics and Robotics Technology! ❄️

In the rapidly evolving landscape of technology, businesses across every industry are on the cusp of a seismic shift—one driven by the convergence of robotics and artificial intelligence (AI). The mutually reinforcing impact of these technologies is resulting in an acceleration in the pace of innovation, often beyond companies’ abilities to assimilate or even keep up with these changes.

This November, we had the incredible opportunity to join our new partners at Globant for Converge. Converge is a tech event for game changers—an annual global summit that brings together visionaries, daring thought leaders, and influential speakers at the forefront of technology. It features inspiring talks about the future of software development, the essential role of AI authenticity, and the emergence of integrated experiences, challenging brave thinkers to push the limits in this fast-paced era.

At InOrbitAI, a broad, multi-vendor, multi-system perspective has always been championed. Now, the platform has received a major upgrade with a series of robot-based customizations. 

This Fall, InOrbit embarked on a whirlwind journey across the globe, making its mark at some of the most significant robotics and tech events. We've been there from insightful panels to hands-on demos, soaking up innovation and sharing our passion for robotics.

We’re thrilled to announce our strategic partnership with Globant, marking a significant leap forward in the field of AI-powered robotics. This collaboration aims to accelerate the adoption of robotics across various industries, combining InOrbit’s advanced RobOps platform with Globant’s expertise in digital transformation.

Automation just got a boost! InOrbit.AI has joined forces with SICK, the leader in sensor intelligence, to make managing robots, people, and manually operated vehicles easier than ever. 🚀