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AI21 Labs

Language models and agent orchestration for enterprise text workloads

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About AI21 Labs

AI21 Labs develops large language models and tools for enterprises building text-based AI applications. Its Jamba model family uses a hybrid architecture aimed at long-context tasks, and its Maestro system coordinates models and tools to produce verifiable outputs. Models can be accessed through an API or deployed in a customer's own environment.

Common use cases

  • Contract and document analysis
  • Financial report summarization
  • Customer support assistants
  • Enterprise knowledge Q&A

Products and services

Jamba models

Open-weight hybrid language models designed for long-context enterprise tasks.

Maestro

Orchestration system that plans and validates multi-step AI tasks.

AI21 Studio

API and developer environment for accessing the company's models.

Key features

  • Long-context language models
  • Agent planning and validation
  • API access
  • Private deployment options
  • Summarization and Q&A
  • Open-weight model releases

Integrations

  • AWS
  • Google Cloud
  • Microsoft Azure
  • Snowflake
  • NVIDIA

AI21 Labs alternatives

FAQs

Can the models run in a private environment?

Yes. The company offers deployment in a customer's VPC or on-premises alongside its hosted API.

How is it priced?

API access is usage-based, with custom enterprise agreements for larger deployments.

What is it best suited for?

Long-document and text-heavy workflows such as summarization, extraction and question answering.

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