Engineering autonomy at scale
The autonomous vehicle market — narrowly defined and excluding the much larger ADAS, autonomous logistics and autonomous-industrial segments — has been variously estimated at USD 68 billion in 2024 by Grand View Research and is projected to reach approximately USD 214 billion by 2030 at a CAGR around 20%. The broader autonomous-systems opportunity, spanning ADAS in passenger vehicles, autonomous trucks, robotaxis, port and yard automation, mining and agricultural autonomy and last-mile delivery robots, is materially larger. alticdigital’s Autonomous Systems practice builds the data, AI, safety, cyber and regulatory backbones that make autonomous deployments credible to UN ECE WP.29 regulators, ISO 21434 auditors and ISO 26262 functional-safety assessors — drawing on the ISSPL group’s decades of classification work on safety-critical systems.
Autonomous systems use cases
ADAS Data Platform and Software-Defined Vehicle Backbone
Data lakehouse for sensor data — camera, radar, LiDAR, ultrasonic, IMU, GNSS and V2X; multi-petabyte ingestion at the daily rate; auto-labelling pipelines; corner-case mining; data-quality and provenance tracking under SPICE for Data; vehicle-software OTA orchestration aligned to UN R156; cyber controls aligned to UN R155 and ISO 21434.
Data lakehouse for sensor data — camera, radar, LiDAR, ultrasonic, IMU, GNSS and V2X; multi-petabyte ingestion at the daily rate; auto-labelling pipelines; corner-case mining; data-quality and provenance tracking under SPICE for Data; vehicle-software OTA orchestration aligned to UN R156; cyber controls aligned to UN R155 and ISO 21434.
Perception, Planning and Control AI Engineering
Engineering services across the autonomy stack — object detection, semantic segmentation, lane and free-space estimation, sensor fusion, behaviour prediction, motion planning, control and HMI; foundation-model adaptation and distillation for in-vehicle deployment; closed-loop simulation and scenario generation; reinforcement learning for hard edge-cases.
Engineering services across the autonomy stack — object detection, semantic segmentation, lane and free-space estimation, sensor fusion, behaviour prediction, motion planning, control and HMI; foundation-model adaptation and distillation for in-vehicle deployment; closed-loop simulation and scenario generation; reinforcement learning for hard edge-cases.
Simulation, Synthetic Data and Verification at Scale
Scenario-based testing on platforms such as NVIDIA DRIVE Sim, CARLA, ANSYS AVxcelerate, AVL Model.CONNECT and IPG CarMaker; synthetic-data generation for rare and dangerous scenarios; hardware-in-the-loop and software-in-the-loop test pipelines; ODD (Operational Design Domain) definition and coverage measurement; regression test farms with auditable evidence.
Scenario-based testing on platforms such as NVIDIA DRIVE Sim, CARLA, ANSYS AVxcelerate, AVL Model.CONNECT and IPG CarMaker; synthetic-data generation for rare and dangerous scenarios; hardware-in-the-loop and software-in-the-loop test pipelines; ODD (Operational Design Domain) definition and coverage measurement; regression test farms with auditable evidence.
Autonomous Logistics and Industrial Autonomy
Autonomous yard tractors, terminal trucks and Automated Guided Vehicles for ports, distribution centres and manufacturing plants; autonomous haul trucks for mining; autonomous tractors and sprayers for agriculture; last-mile delivery robots and sidewalk vehicles; centralised fleet supervision, geofenced ODDs and human-in-the-loop override.
Autonomous yard tractors, terminal trucks and Automated Guided Vehicles for ports, distribution centres and manufacturing plants; autonomous haul trucks for mining; autonomous tractors and sprayers for agriculture; last-mile delivery robots and sidewalk vehicles; centralised fleet supervision, geofenced ODDs and human-in-the-loop override.
Cyber, Safety and Homologation Compliance
Cybersecurity Management System (CSMS) and Software Update Management System (SUMS) aligned to UN R155 and R156; ISO/SAE 21434 threat-modelling and risk-treatment evidence; ISO 26262 functional-safety and ISO 21448 SOTIF safety-of-the-intended-function evidence packs; homologation support across UN ECE WP.29 markets, India CMVR, China GB and US NHTSA FMVSS regimes.
Cybersecurity Management System (CSMS) and Software Update Management System (SUMS) aligned to UN R155 and R156; ISO/SAE 21434 threat-modelling and risk-treatment evidence; ISO 26262 functional-safety and ISO 21448 SOTIF safety-of-the-intended-function evidence packs; homologation support across UN ECE WP.29 markets, India CMVR, China GB and US NHTSA FMVSS regimes.
Benefits, value and beneficiaries
Faster, safer autonomy releases; UN R155 / R156 / ISO 21434 / ISO 26262 / ISO 21448 evidence packs auto-generated from the engineering pipeline; closed-loop simulation coverage measured against ODDs; petabyte-scale data flywheel with auto-labelling and corner-case mining; multi-region homologation traceability.
Reduced time-to-market for new autonomy features; lower regulatory and recall exposure; insurer- and regulator-acceptable safety case; defensible cybersecurity posture against vehicle-targeted attacks; lower TCO across the autonomy data and compute stack; competitive parity (or advantage) against the very small group of OEMs operating at the engineering frontier.
Chief Technology Officer at OEMs and Tier-1 suppliers; Head of ADAS / AV engineering; Functional Safety and Cybersecurity Lead; Head of Homologation and Regulatory Affairs; CIO and Head of Data Platforms; Head of Operations at port, mine, distribution-centre and farm-operator clients deploying autonomous assets; Head of Insurance and Risk.
Customer Challenges and the Need to Act
Autonomy is no longer an AI problem — it is an assurance problem
The hard engineering problem has shifted. The AI models are good enough; the safety, cybersecurity, simulation, homologation and operational design domain evidence is what now separates the OEMs and operators that ship from the ones that pilot forever. alticdigital sits at exactly that intersection — bringing AI engineering depth and the audit, classification and traceability discipline of a fifty-year-old IACS-member group. Few partners are credibly equipped to do both. That is our specific home turf.
Relevant geographies
Let’s engineer autonomy together
From ADAS data platforms to homologation compliance, our team builds the safety, cyber and regulatory backbones that make autonomous deployments credible.
50+ Years of Industrial Assurance
alticdigital is the technology subsidiary of ISSPL — a classification and certification group with five decades of industrial-inspection heritage. Every solution we deliver inherits this culture of rigour, traceability and audit-grade quality.