InOrbit.AI Secures Series A for Robot Orchestration Platform Addressing Physical AI Infrastructure Gap
InOrbit.AI secured Series A funding co-led by L’ATTITUDE Ventures and Globant Ventures to accelerate development of its robot orchestration platform, addressing a critical infrastructure bottleneck preventing enterprise automation from reaching scale.
The funding addresses a fundamental challenge: while individual robots and automation systems excel at specific tasks, enterprises struggle with fragmented deployments across manufacturing, logistics, retail and hospitality. InOrbit’s Space Intelligence platform transforms these disconnected systems into cohesive, intelligent operations that integrate seamlessly with human teams.
Physical AI Orchestration Bottleneck
Enterprise automation faces a coordination problem that mirrors early cloud infrastructure challenges. Organizations deploy multiple robot types—mobile robots, fixed equipment, autonomous vehicles—each with proprietary interfaces and management systems. This fragmentation creates operational silos that prevent the autonomous workflows AI agents promise to deliver.
InOrbit founder and CEO Florian Pestoni frames the challenge: “Our ambition is to optimize everything that moves, helping our customers increase flexibility, become more resilient, and drive continuous efficiency improvements in their physical workflows.”
The company’s approach leverages agentic AI capabilities for physical operations, enabling autonomous decision-making and adaptive responses in real-world environments. Unlike software-only agent platforms, InOrbit bridges the gap between digital intelligence and physical execution.
Enterprise Validation and Market Demand
Fortune 500 enterprises including Colgate-Palmolive and Genentech demonstrate the platform’s production readiness. These deployments showcase InOrbit’s ability to manage smart robots across global operations, transforming isolated automation investments into coordinated systems.
The market timing reflects broader enterprise infrastructure evolution. Labor shortages and supply chain volatility drive automation adoption, but implementation complexity limits scale deployment. Martin Umaran, Chief Corporate Development Officer at Globant, notes: “InOrbit’s platform represents exactly the kind of foundational technology layer our enterprise clients need—one that enhances their current WMS, ERP, and operational systems rather than replacing them.”
Google’s recognition through its 2024 Founders Fund selection underscores InOrbit’s emergence as infrastructure leader. Danny Navarro, Head of Google for Startups in North America, highlights the company’s “creative use of Google Cloud and AI tools driving real progress in the physical world for enterprise customers.”
Software-Defined Physical Operations
InOrbit Space Intelligence functions as the “central nervous system” for enterprise robot operations, providing the coordination layer that traditional automation lacks. The platform connects to existing enterprise systems including warehouse management, ERP, and operational databases, avoiding the replacement costs that typically limit automation ROI.
The technical architecture mirrors successful cloud orchestration platforms but extends to physical hardware coordination. InOrbit manages robot fleets, autonomous vehicles, and smart equipment through unified interfaces that enable policy-based operations and real-time optimization.
This software-defined approach addresses the billion-robot future that industry analysts project over the next decade. Rather than managing individual machines, enterprises can orchestrate physical workflows that adapt to changing demands and integrate new capabilities without system overhauls.
Infrastructure Market Maturation
The physical AI infrastructure market shows signs of maturation similar to earlier cloud and mobile platform evolution. Initial automation deployments focused on single-purpose applications, but enterprise scale requires integrated orchestration that coordinates multiple systems.
Partnership strategies validate this infrastructure approach. Globant’s investment includes collaboration on agentic solutions leveraging its Enterprise AI platform, with Space Intelligence providing the bridge to physical operations. This integration model suggests the emerging standard for enterprise AI deployment.
InOrbit’s timing coincides with broader robotics and AI convergence trends, from specialized mobile robots to general-purpose humanoid systems with embedded intelligence. The company’s platform-agnostic approach positions it to benefit from this hardware diversity rather than being constrained by specific robot vendors.
Market Implications
The successful Series A funding signals investor confidence in physical AI infrastructure as a distinct category from software-only agent platforms. Unlike pure digital automation, robot orchestration requires real-world reliability, safety protocols, and integration with legacy industrial systems.
Enterprise adoption patterns suggest 2025 marks an inflection point where experimental automation pilots transition to production-scale deployments. InOrbit’s enterprise customer base provides the validation and reference architecture that accelerates this transition across industries.
The infrastructure layer approach also creates natural expansion opportunities. As enterprises deploy more autonomous systems, centralized orchestration becomes increasingly valuable, creating network effects that benefit early platform adopters.
The convergence of AI capabilities and physical automation creates new infrastructure requirements that traditional software platforms cannot address. InOrbit’s robot orchestration platform exemplifies the specialized infrastructure needed to realize autonomous physical workflows at enterprise scale.
This infrastructure evolution mirrors Overclock’s approach to AI agent orchestration, where complex multi-agent workflows require specialized coordination platforms. As physical and digital AI systems converge, orchestration infrastructure becomes the foundation for reliable autonomous operations across both domains.
Learn more about AI agent orchestration platforms at Overclock.