Engineer robust AI systems that fuse LiDAR, radar, and optical data to create complete 3D environmental models for autonomous navigation and analysis.
Services

Engineer robust AI systems that fuse LiDAR, radar, and optical data to create complete 3D environmental models for autonomous navigation and analysis.
Achieve 360° situational awareness where single-sensor systems fail. Our fusion AI synthesizes disparate data streams into a unified, actionable 3D representation, enabling reliable operation in fog, rain, and low-light conditions.
We architect end-to-end multimodal pipelines using frameworks like ROS 2, PyTorch3D, and Open3D. This includes sensor calibration, temporal synchronization, and deep learning fusion models (e.g., early/late fusion, attention-based networks) trained on domain-specific data to deliver deterministic outputs for critical applications. Explore our broader capabilities in Geospatial AI and Spatial Analytics.
Move from fragmented data to a coherent operational picture. Our systems reduce development cycles for autonomous platforms by providing a validated sensor fusion core, accelerating your path to a field-ready MVP in 6-8 weeks. For foundational data processing, see our services on Planetary-scale Satellite Imagery AI Processing and Vector Database Solutions for Spatial Data.
Our LiDAR and Radar Data Fusion AI development service delivers concrete, measurable advantages for autonomous systems, defense, and infrastructure monitoring. We focus on engineering outcomes that directly impact your operational efficiency, safety, and strategic decision-making.
Engineer AI systems that maintain centimeter-level precision in fog, rain, and darkness by fusing LiDAR's high-resolution 3D point clouds with radar's robust penetration capabilities. This ensures reliable 24/7 operation for autonomous vehicles and drones, reducing weather-related downtime to near zero.
Deploy multimodal fusion models that cross-validate sensor inputs, dramatically lowering false alarm rates for critical detection tasks. By combining spatial data types, our systems distinguish between stationary objects and potential threats with over 99.5% accuracy, a necessity for defense and security applications.
Generate detailed, actionable 3D terrain and structural models up to 40% faster than single-sensor approaches. Our fused data pipelines create rich digital twins for urban planning, construction monitoring, and environmental analysis, enabling faster project timelines and more informed planning decisions.
Optimize sensor suites by strategically combining lower-cost radar units with high-fidelity LiDAR, achieving superior performance without the expense of a full LiDAR array. Our architecture consulting ensures you meet performance SLAs while reducing hardware CAPEX by 15-30%.
Build on a flexible sensor-agnostic fusion core that easily integrates new sensor types (e.g., thermal, hyperspectral) as technology evolves. This protects your investment and simplifies upgrades, ensuring your AI system remains state-of-the-art without costly re-engineering.
Implement fused AI systems with built-in audit trails for sensor data lineage, crucial for defense contracts and regulatory compliance. Our engineering practices ensure full traceability from raw sensor return to AI inference, supporting certifications and security audits.
A structured breakdown of our phased approach to delivering a production-ready LiDAR and Radar data fusion system, designed for clarity and predictable outcomes.
| Phase & Deliverables | Starter (Proof-of-Concept) | Professional (Pilot System) | Enterprise (Production Platform) |
|---|---|---|---|
Project Duration | 4-6 weeks | 8-12 weeks | 16-24 weeks |
Core Deliverable | Fusion model prototype on sample dataset | Integrated pilot system with basic APIs | Scalable, containerized microservices platform |
Sensor Modalities Fused | LiDAR + Optical | LiDAR + Radar + Optical | LiDAR + Radar + Optical + (Custom) |
Output Format | 3D bounding boxes & point cloud segmentation | Real-time object tracks & terrain mesh | Multi-resolution 3D maps & predictive analytics |
Deployment Environment | Local workstation / single cloud instance | On-premises server or cloud cluster | Hybrid cloud-edge with Kubernetes orchestration |
Performance Validation | Accuracy metrics on test set | Latency & throughput benchmarks in staging | Full-scale load testing & 99.9% uptime SLA |
Integration Support | Documentation & sample code | API integration assistance | Dedicated engineering support & training |
Ongoing MLOps | Model export package | Basic retraining pipeline | Full CI/CD, monitoring, and drift detection |
Security & Compliance | Basic data handling protocols | Encryption at rest & in transit | FedRAMP/ISO 27001 alignment & audit trail |
Starting Investment | $25K - $50K | $80K - $150K | Custom Quote |
Our LiDAR and Radar Data Fusion AI engineering service delivers measurable outcomes across critical industries. We build robust, production-ready systems that transform raw sensor data into actionable intelligence, enabling autonomy, safety, and operational efficiency.
Engineer perception stacks that fuse LiDAR point clouds with radar for robust object detection, velocity estimation, and path planning in all weather and lighting conditions. Achieve ASIL-D functional safety compliance for series production.
Deploy AI systems on UAVs for autonomous inspection of power lines, wind turbines, and bridges. Combine LiDAR for structural measurement with radar for penetrating foliage, generating millimeter-accurate 3D models and defect reports. Learn more about our approach to Edge AI for Real-time Spatial Analytics.
Develop low-visibility, all-weather surveillance platforms for border monitoring and perimeter security. Fuse long-range radar tracking with high-resolution LiDAR for positive identification and intent analysis of moving targets in contested environments.
Create detailed 3D terrain and biomass models from airborne sensor fusion. Enable precise crop health monitoring, yield prediction, and sustainable forestry practices by measuring canopy density and soil topography with centimeter accuracy.
Integrate multimodal perception for autonomous mobile robots (AMRs) and robotic arms in dynamic warehouses and factories. Enable reliable navigation, pallet detection, and manipulation in environments with poor lighting and visual obstructions.
Build city-scale 4D digital twins by fusing aerial LiDAR, ground-penetrating radar, and optical data. Model traffic flow, utility networks, and simulate the impact of new construction with physics-based accuracy. This complements our broader Smart City Geospatial Infrastructure Planning services.
We engineer robust multimodal AI systems that fuse LiDAR, radar, and optical data for reliable 3D perception in any condition.
Our methodology delivers operational certainty for autonomous systems, defense platforms, and industrial inspection by creating a unified, resilient perception layer. We focus on three core engineering outcomes:
We architect for the edge, deploying optimized fusion models that run inference in under 50ms on embedded hardware like NVIDIA Jetson Orin, enabling real-time decision-making for mobile platforms.
Our technical process is built on proven frameworks and rigorous validation:
Velodyne LiDAR, Continental ARS408 radar, and cameras using custom calibration rigs.Partner with us to move from experimental fusion to a production-grade system. We provide the full stack—from sensor selection and data pipeline engineering to model optimization and MIL-STD-810 compliant deployment—ensuring your platform perceives the world with unmatched clarity and reliability. Explore our related capabilities in Edge AI for Real-time Spatial Analytics and Geospatial AI Model Training and Fine-tuning.
Get specific answers on timelines, costs, and technical approach for our LiDAR and Radar Data Fusion AI development services.
Contact
Share what you are building, where you need help, and what needs to ship next. We will reply with the right next step.
01
NDA available
We can start under NDA when the work requires it.
02
Direct team access
You speak directly with the team doing the technical work.
03
Clear next step
We reply with a practical recommendation on scope, implementation, or rollout.
30m
working session
Direct
team access