Robotics
SLAM
Healthcare & Hospitality
Autonomous service robots for hospitals and hotels
The scenario: A robotics startup is deploying autonomous service robots into hospitals and hotels. The robots must navigate unfamiliar indoor environments, avoid people, and stay accurate over long shifts — without a technician on-site to recalibrate.
How we help: We implement and tune the SLAM stack (visual, LiDAR, or fused), build self-calibration routines that let the robot recover accuracy on its own, and harden the localization pipeline for real-world edge cases — reflective floors, glass walls, crowded corridors.
- Production-grade SLAM pipeline (ROS 2 or custom)
- Self-calibration and drift-correction routines
- Sensor fusion for camera, LiDAR, IMU, wheel odometry
- Field-testing harness and accuracy reporting
Sensors
Calibration
Automotive
Multi-sensor calibration for a fleet product
The scenario: A hardware startup sells a sensor pod that combines cameras, LiDAR, and IMU. Every unit ships slightly different, and customers expect it to "just work" out of the box — but the calibration is drifting in the field.
How we help: We design the factory calibration procedure, build the self-calibration logic that runs at boot and in the field, and deliver the tooling your manufacturing team needs to validate every unit before it ships.
- Factory calibration procedure and tooling
- On-device self-calibration routines
- Extrinsic and intrinsic calibration pipelines
- QA reports and pass/fail thresholds per unit
Drones
Photogrammetry
Construction
Automated aerial survey pipeline for a construction SaaS
The scenario: A construction-tech startup lets site managers fly a drone and get a progress report. The images come back, but turning them into orthophotos, volumes, and change detection is a manual, error-prone process.
How we help: We build the automated photogrammetry backend — georeferencing, dense reconstruction, orthophoto generation, and volume calculation — exposed as a clean API your web app can call.
- Automated photogrammetry pipeline
- Orthophoto and DSM generation
- Stockpile volume and change detection
- REST API and job queue for your SaaS
Data Platform
GIS
Climate
Spatial data backend for a climate analytics startup
The scenario: A climate-tech startup ingests satellite imagery, weather data, and ground sensors to advise farmers. The data volumes are growing fast, queries are slow, and every new customer needs a custom spatial view.
How we help: We design the spatial data architecture — tile serving, spatial indexing, raster and vector pipelines — and build the query layer that lets your product team ship new spatial features without re-architecting every quarter.
- Spatial data model and storage architecture
- Raster and vector ingestion pipelines
- Tile server and spatial query API
- Scalable cloud deployment (or air-gapped)
Computer Vision
Perception
Industrial
3D perception for an industrial inspection startup
The scenario: A startup is automating industrial inspection with a robot-mounted 3D scanner. The perception code works in the lab, but fails on the factory floor where lighting, dust, and vibration vary unpredictably.
How we help: We harden the perception pipeline for real-world conditions, add spatial registration and defect localization, and integrate the output with your customer's existing asset management systems.
- Robust 3D perception pipeline
- Point cloud registration and defect localization
- Integration with asset management systems
- Field validation and accuracy benchmarks
