Embodied AI for robots, factories, vehicles, and critical infrastructure
Generic AI consultants apply the same playbook to every sector. That is why their pilots fail. Physical AI operates under real-time constraints, safety standards, and sovereign infrastructure requirements that cloud-SaaS AI never faces. We bring hands-on depth in yours.
Where Physical AI meets the real economy — automotive & mobility, manufacturing & robotics, and energy & EV infrastructure. This is where we focus, and where our capability mapping runs deepest.
ADAS perception, software-defined vehicles, in-vehicle edge inference, and EV charging infrastructure
17+ years building automotive AI at Renault-Nissan-Mitsubishi Alliance and through Auralink. Deputy GM, Connected Car Services, Renault-Nissan-Mitsubishi Alliance — NissanConnect deployed across 39 countries and 4M+ users, including the Google-built-in Android Automotive head unit (OpenR Link). Built Auralink: 400+ microservices and ~20 AI agents for EV charging orchestration, BESS coordination, and grid balancing (arXiv preprint 2603.08736). Vectis AI adds OBD-II and ESP32 vehicle edge inference. We work to ISO 26262, ISO 21448 SOTIF, UNECE R155 cybersecurity, UNECE R156 OTA, and AUTOSAR.
Shop-floor AI for predictive maintenance, vision QA, robotics cells, and OT/IT integration
Manufacturing and shop-floor robotics fail for the same reason: the architecture is wrong, not the models. Auralink's IIoT Modbus bridge and ROS 2 multi-agent orchestration architecture demonstrate exactly the OT/IT integration and multi-robot coordination pattern that factory-floor Physical AI requires. We help manufacturers build production-grade AI with proper edge deployment, ISA-95-aligned OT integration, and MLOps — the infrastructure that keeps models running after the engagement ends. We work to IEC 61508 SIL, IEC 62443 OT cybersecurity, and ISO 10218 / ISO TS 15066 cobot-safety standards.
Grid-edge inference, demand response, BESS coordination, and EV charging optimisation at scale
Auralink delivers the strongest energy-sector proof in our portfolio: distributed EV charging network AI with 78% autonomous incident resolution, real-time BESS and solar coordination, OpenADR demand-response integration, and grid-balancing across distributed charging assets (arXiv preprint 2603.08736). ABB E-mobility A400 (400 kW ultra-fast charging) rounds out the infrastructure depth. We bring IEC 61850, IEC 62443, NIS2, and OpenADR discipline to grid-edge AI — not as a compliance add-on but as the architecture constraint from day one.
Capability-based reach beyond our three primary clusters — the same Physical AI architecture discipline, applied selectively. Not a claim of standing client depth or delivered engagements in every sector below.
A 30-minute call is enough to diagnose whether your AI initiative is stuck for industry-specific reasons — and what to do about it.
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