CloudFactory

Quality Data

Two of the biggest challenges for AI development teams are access to quality training data and the significant time and resources required to clean and process data for integrity. For over a decade, CloudFactory has worked with the data that powers AI. We have experience from 150+ AI projects, with companies from startup to enterprise. We work with 11 of the world’s top autonomous vehicle companies, and we spend 48,000 hours per month annotating data for their computer vision algorithms.

Quality Data

Curated Teams

Our cloud workforce operates as an extension of your team. We process data with high accuracy on virtually any platform. Our technology speeds change and lowers cost, so you can track your team’s productivity and quality in real time and communicate directly with your team leader, who iterates your process with ease across the team. At CloudFactory, we respect data. We are compliant with SOC2, GDPR, and HIPAA regulations.

Curated Teams

Workforce Expertise

We understand how data, processes, and tools intersect to build smart, powerful AI. Our teams are known for high quality work, and they love the role they play in working with the world’s most innovative technology companies. The key to our workforce strategy is our combination of people, technology, and culture. We focus on building relationships and manage our workforce more closely, which positively impacts work quality.

Workforce Expertise

Use Case Agility

Building datasets for AI often involves quick iterations to processes. Developing models for computer vision, NLP, or predictive analytics requires an agile workforce partner that can assimilate new information as the number and complexity of your use cases multiply. We use technology to provide you with real-time communication and visibility into performance. With each new project, we apply our expertise across use cases and tool platforms.

Use Case Agility

Applications & Tasks

Computer Vision

Computer Vision

  • Bounding Boxes
  • Point Cloud
  • 3-D Segmentation
  • Landmarking
  • Object ID
  • Pixel Segmentation
  • Aerial/Satellite Images
  • Video scenarios
Natural Language Processing

Natural Language Processing

  • Text tagging
  • Sentiment analysis
  • Semantic analysis
  • Syntax analysis
  • Context analysis
  • Taxonomy creation
  • Feature extraction
Predictive analysis

Predictive Analytics

  • Time stamping
  • PDF extraction
  • Link to public information
  • Data consolidation
  • Information standardization
  • Image categorization

Raise Your AI Resources

Dirty Data Ebook

Data is gold for today's business. Learn about common issues to resolve if you want to use data to make strategic decisions, improve products, speed your time to market, and disrupt entire industries.

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Humans in Ai Tech Stack

Artificial intelligence is finally taking off. Why now, and how are businesses using it? What are the challenges to implementation? Learn how to strategically deploy people in your tech stack.

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ibotta success story

With a fast-growing user base for its mobile shopping app, Ibotta needed people and technology to scale a data-verification process during the busiest retail season of the year. Here's how they did it.

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Trusted by 100+ innovators

We process millions of tasks a day.

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