Autonomous Vehicle
Building AV AI. Safety, Speed, and Scale.

Key challenges
AV developers face enormous technical and operational challenges in bringing safe, reliable autonomy to the road:
Edge case complexity
Rare scenarios must be modeled and managed for safety.
High data demands
AVs generate massive volumes of video, lidar, and telemetry data that must be labeled precisely.
Regulatory scrutiny
Failures in autonomy have significant legal and reputational consequences.
Validation at scale
Proving system-wide safety across geographies and scenarios is time-consuming and costly.

Key trends
AV companies are applying AI to tackle the complexity of driving:
Scene understanding
AI powers object detection, semantic segmentation, and intent prediction
Sensor fusion
Models merge inputs across camera, radar, and lidar for real-time awareness.
Planning & control
Reinforcement learning and behavior prediction optimize path planning.
Simulation & testing
AI models are tested at scale in synthetic environments.

Succeed with CloudFactory
CloudFactory helps AV companies deliver safer, smarter autonomy by enabling high-quality data workflows, human-in-the-loop exception handling, and model governance:
AI Consulting
We assess where AI can accelerate perception, planning, and system testing.
Data Engine
We prepare and label lidar, video, and telemetry data at scale for training and validation.
Training Engine
We fine-tune perception and behavior models for different operating domains and edge cases.
Inference Engine
We monitor model outputs to flag errors, edge cases, or drift over time.
AI Engine
We integrate data and oversight into your pipeline to accelerate production with confidence.
Webinar: Maximizing the Value of Your Autonomous Vehicle Data
Uncover how to get the most value from your AV data through accurate annotation in this on-demand webinar.

10 Questions To Ask an AV Workforce Partner for Safer AV Models
Selecting the right workforce partner is key to optimizing your data pipelines and executing safe, reliable AV models. Ask these 10 critical questions during your evaluations.

Autonomous AI Systems: The Future of self-guided Intelligence
Discover how autonomous AI is shaping the future of self-guided intelligence and revolutionizing industries. Learn about its potential, benefits, and impact.

Client Story: Compound Eye
CloudFactory image annotation helps Compound Eye release its disruptive, camera-based AV technology into the world.

Optimizing Data Pipelines Using Multiple Workforces: An ebook for Autonomous Vehicle Technology Professionals
Data quality and workforce strategy can make or break the success of your autonomous vehicle project. This guide will show you how to optimize your AV data pipeline using multiple workforces to launch safe, reliable autonomous driving models.

Client Story: Luminar
CloudFactory helped Luminar launch a product that dramatically increases autonomous vehicle perception.

Client Story: Charles River Analytics
CloudFactory helped Luminar launch a product that dramatically increases autonomous vehicle perception.

Quality data is the cornerstone of impactful AI. Our endeavor to annotate the crucial sightings of whales has paved the way for groundbreaking advancements in marine safety and conservation.
Ross Eaton
Principal Scientist and Director of Marine Systems,

Ready to get started?
In high-stakes environments, AI can’t just be good—it must be right.
Let’s build AI you can trust.