Integrated Managed Services

Get production-quality labels, without the headaches

Collaborate with our expert team to get the training data you need in less time.
Superb AI’s platform, automation, and human-in-the-loop validation streamline your model development process.

There’s a better way to get your data labeled

Crowdsourcing, or outsourcing, often ends in heartache. Choosing the right team, deciphering byzantine contracts, and working with labelers of widely varying skills is hard enough. Juggling time zones and dealing with patchy communication makes it even harder - reducing data quality and delaying project completion.

How it works

Share your vision with us, and our experts will help craft and execute a fully customized data labeling project - without the pain of managing anything yourself. We’ll handle everything, from choosing the right team to the labeling itself.

Contact Us

Provide our team with:

• Project Goals
• Dataset(s)
• Annotation type(s)
• Timeline

Set Up

Meet with your dedicated project manager to:


  • Create or provide gold-standard annotation guidelines
  • Establish preferred communications cadence
  • Delegate responsibilities between companies
  • Establish final deliverables and acceptance criteria
Calibration

Using a small data sample, we’ll:

  • Field test your project and annotation guidelines
  • Revise processes to improve efficiency
  • Identify valuable edge cases to mine
  • Suggest changes to your annotation pipeline
Labeling

Our highly-skilled team will:


  • Annotate your data manually
  • Apply labeling automation to reduce time and cost
  • Review labels using a multi-level QA process
  • Create tight feedback loops internally and with you (based on your preference)
  • Closely monitor project progress and labeler efficiency
Delivery + Iteration
  • Recieve labeled data directly through the Superb AI platform, API, Amazon S3, Google Cloud Storage, or Azure Blob Storage
  • Scale your project with larger batches of data and structured task assignments designed to increase efficiency and quality

Provide our team with:

• Project Goals
• Dataset(s)
• Annotation type(s)
• Timeline

Meet with your dedicated project manager to:

  • Create or provide gold-standard annotation guidelines
  • Establish preferred communications cadence
  • Delegate responsibilities between companies
  • Establish final deliverables and acceptance criteria

Using a small data sample, we’ll:

  • Field test your project and annotation guidelines
  • Revise processes to improve efficiency
  • Identify valuable edge cases to mine
  • Suggest changes to your annotation pipeline

Our highly-skilled team will:

  • Annotate your data manually
  • Apply labeling automation to reduce time and cost
  • Review labels using a multi-level QA process
  • Create tight feedback loops internally and with you (based on your preference)
  • Closely monitor project progress and labeler efficiency
  • Receive labeled data directly through the Superb AI platform, API, Amazon S3, Google Cloud Storage, or Azure Blob Storage
  • Scale your project with larger batches of data and structured task assignments designed to increase efficiency and quality

Get your models to production and your AI to market faster

Unmatched Quality

Augment your models with the highest quality training data. Our labelers are well-versed in your use case and always follow strict QA processes.

Scalability for All

Our expert team, paired with AI-powered automation, is well-equipped to help you grow at every stage, from startup to enterprise.

Lasting Relationships

We’re always here to help, from personalized support to deep ML insights and guidance on improving your projects, data, and pipelines.

A+ Security

From our people to our tech stack, security and trust are baked into all we do. Our global teams can handle any geographical requirements.

FAQS

What task types are supported?
What annotation types do you support?
What sets your managed services apart from other solutions?
How can I be sure you will deliver quality labels?
What does your QA process look like?
My project may have requirements not listed here. Who do I talk to?