Autonomous Vehicle

Building AV AI. Safety, Speed, and Scale.

self driving car

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.

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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.

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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.

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Nancy Agosta
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.

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Elizabeth Chepkoech
Apr 26, 2025
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.

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Tom Lucido
May 7, 2025
Client Story: Compound Eye

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

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Cloudfactory
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.

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Cloudfactory
Client Story: Luminar

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

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Cloudfactory
Client Story: Charles River Analytics

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

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Cloudfactory
What our Clients are Saying

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,

Charles River Analytics

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.