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sensmore Tech Stack
Physical AI platform retrofitting heavy machinery with autonomous control
sensmore builds hardware-software systems that retrofit existing heavy machinery (wheel loaders, haul trucks) with autonomous capabilities using Vision-Language-Action Models and 4D imaging radar. The tech stack—PyTorch, TensorFlow, ROS/ROS 2, LiDAR, and multi-cloud infrastructure (AWS, GCP, Azure)—reflects both ML-intensive perception and embedded systems work. Active projects span mechanical design, sensor integration, SLAM, and real-world model validation, with pain points centered on manufacturing scalability and harsh-environment robustness, suggesting they're scaling from prototype to production.
Tech Stack 42 technologies
Core StackPython C++ PyTorch TensorFlow SolidWorks CATIA AutoCAD AWS Snowflake Kubernetes Hugging Face MLflow Kubeflow Redshift BigQuery Delta Lake Terraform Fusion 360 OpenCV transformers LiDAR Gemini Unsloth ROS ROS 2 GNSS GCP Azure SQL DVC+12 more
What sensmore Is Building
◆Challenges
- Scaling production
- Improving autonomy of robotic platforms
- Streamlining assembly processes
- Improving autonomy of heavy machinery
- Optimizing ai systems for real-world deployment
- Manufacturability and scalability of hardware designs
- Communication between actuators and sensors
- Emi and power management issues
- Robustness for harsh environments
- Reliable data flows from sensors
▲Active Projects
- Ai-driven robot mechanical design
- Coordinating external assembly work
- Multi-sensor telemetry data pipelines
- Data infrastructure for embodied ai and vision-language-action models
- Assembling advanced sensor boxes
- Integration of state estimation with slam and control stacks
- Real-world model validation and deployment
- Ci/cd pipelines for robotics simulation environments
- State estimation system for autonomous heavy machinery
- Vision language action model integration
Hiring Activity
Steady20 roles · 9 in 30d
Department
Seniority
Company intelligence
