Autonomous Vehicles (AV) services help organizations design, integrate, validate, and scale intelligent mobility systems across industrial, logistics, defense, campus, and smart city environments. We combine AI perception, sensor fusion, edge compute, connectivity, safety engineering, and fleet orchestration to enable reliable autonomous operations.
From proof-of-concept to production deployment, Maayan delivers AV systems that are secure, safety-compliant, scalable, and built for real-world operating conditions.
Autonomous systems deliver measurable operational value when integrated with enterprise workflows:
Improved safety through perception-driven hazard detection
Increased operational efficiency and reduced labor dependency
Lower accident rates and compliance risk
Optimized fleet utilization and route efficiency
Real-time visibility and predictive maintenance
Scalable deployment across sites with governance controls
Every deployment is aligned to measurable KPIs—safety improvement, route efficiency, uptime, fuel/energy savings, and cost optimization.
Strong capabilities across sensor fusion, real-time AI inference, navigation integration, and low-latency edge compute design.
Redundancy planning, fail-safe mechanisms, cybersecurity segmentation, and audit-ready governance embedded into system architecture.
Autonomous systems are connected to ERP, MES/MOM, fleet systems, and analytics platforms—turning mobility into operational intelligence.
Centralized control models, telemetry dashboards, and predictive maintenance frameworks support multi-site deployments.
Balanced compute strategy enabling real-time onboard decisions with centralized oversight and optimization.
Controlled proof-of-value validation followed by phased rollout and performance governance.
Model updates, route optimization, performance benchmarking, and compliance tracking ensure long-term operational value.
Maayan Technologies delivers end-to-end Autonomous Vehicle (AV) capabilities—from strategy and perception system design to fleet orchestration and managed optimization—ensuring secure, safety-compliant, and real-time intelligent mobility environments.
Define the right autonomy use cases aligned to operational goals and ROI.
Capabilities include:
Use-case discovery (logistics, inspection, industrial mobility, campus transport)
Regulatory, safety, and risk feasibility analysis
Target architecture blueprint (vehicle + sensors + edge compute + connectivity)
Pilot-to-scale roadmap and governance model
Enable reliable environmental awareness for safe autonomous operations.
Capabilities include:
Sensor selection guidance (LiDAR, radar, camera, GNSS, IMU)
Multi-sensor fusion and calibration frameworks
Real-time object detection and tracking enablement
Environmental validation and performance benchmarking
Design intelligent motion planning and control systems for real-world environments.
Capabilities include:
Mapping and localization architecture planning
Path planning and obstacle avoidance integration
Low-latency edge compute alignment for real-time control
Redundancy, fail-safe, and fallback strategy design
Deploy optimized compute platforms for real-time inference and control decisions.
Capabilities include:
Edge compute platform evaluation and sizing
Model optimization and inference acceleration
Thermal, power, and integration readiness planning
Secure OTA (over-the-air) update governance
Enable centralized monitoring and intelligent fleet orchestration.
Capabilities include:
Fleet control center architecture and telemetry aggregation
Route optimization and task scheduling workflows
Real-time dashboards and fleet performance analytics
Predictive maintenance integration patterns
Design secure communication between vehicles, infrastructure, and enterprise platforms.
Capabilities include:
Vehicle-to-everything (V2X) architecture readiness
Edge-to-cloud integration patterns and telemetry governance
Secure communication segmentation and encryption standards
Connectivity monitoring and performance tracking
Embed safety and cybersecurity controls into autonomous ecosystems.
Capabilities include:
Safety governance and operational risk frameworks
Secure segmentation and identity-based access control
Logging, traceability, and audit-ready documentation
Incident response planning and operational playbooks
Operate and optimize autonomous environments with structured governance.
Capabilities include:
Fleet health monitoring and uptime management
Performance benchmarking and route efficiency optimization
Model lifecycle governance and drift detection
Multi-site rollout support and lifecycle cost management
As intelligent mobility technologies advance rapidly and autonomy becomes central to next-generation operations, organizations need comprehensive, industry-tailored Autonomous Vehicle solutions to move confidently into the future.
Maayan Technologies combines AI perception, edge computing, sensor fusion, and domain expertise to design and scale safe, reliable autonomous systems. Our global perspectives and engineering depth ensure clients are prepared to address evolving safety, regulatory, operational, and performance challenges in autonomous mobility environments.
Maayan Technologies delivers structured accelerators that help organizations move from autonomous pilots to enterprise-scale deployment—ensuring safety, reliability, and operational efficiency.
Autonomous architecture reference blueprints
Sensor calibration and validation playbooks
Edge compute and inference optimization toolkit
Fleet operations dashboards and monitoring templates
Safety and compliance governance checklists
Secure OTA deployment and rollback frameworks
Pilot-to-scale rollout model with KPI tracking
At Maayan Tech, we are committed to providing exceptional service and support. Your questions, feedback, and inquiries are important to us, and we will do our best to respond promptly. Whether you’re a business seeking technology solutions or an individual with a query, we are here to assist you.