AI21 Labs has been positioned as an Emerging Visionary in both the Gartner Emerging Market Quadrant (EMQ) for Generative AI Engineering and the Emerging Market Quadrant for Generative AI Model Providers.

AI21 Labs’ unique approach to enterprise AI

In our opinion, Gartner’s Emerging Market Quadrant (EMQ) offers a visual representation of generative AI vendors operating in rapidly evolving sectors. This Quadrant positions vendors according to their current Future Potential​ and Features. 

According to the research: “Emerging Visionaries often introduce new technology, services or business models.”

We believe our placement as an Emerging Visionary in both the Generative AI Engineering and Generative AI Model Providers EMQs reflects what we hear from the market all of the time: our customers want robust frontier models plus a reliable engineering stack—not one or the other. Our unique approach to delivering AI solutions to the enterprise market is built on the premise of combining SOTA, proprietary generative AI models and unrivaled engineering solutions to help enterprises automate reliable and accurate AI knowledge agents. 

Access the Innovation Guide for Generative AI Model Providers here and the Innovation Guide for Generative AI Engineering here.

We’re proud to have our vision of what enterprise clients need for successful AI scaling recognized by Gartner’s independent analysis.

Foundation models designed for agentic workflows

AI21 Labs, one of the original model providers, builds foundation models designed to boost accuracy in enterprise workflows, with a particular focus on long-context reasoning, efficiency, and deployment flexibility.

Highlights include:

  • Innovative Jamba architecture– A hybrid, first of its kind SSM–Transformer architecture (Joint Attention + Mamba) that delivers high throughput, efficient long context handling, and top accuracy performance across our Jamba family of LLMs.
  • Multiple sizes and form factors – From lightweight models optimized for speed, cost, and on-device use to large models designed for the most demanding enterprise tasks, Jamba is available in three sizes.
  • Flexible deployment – Available through major cloud and technology partners, as well as for self-hosted deployments, AI21 offers enterprises real choice in how and where they run their AI workflows.

We believe this is a key reason AI21 Labs was identified and placed in the EMQ for Generative AI Model Providers: enterprises get state-of-the-art models aligned to real-world constraints around quality, latency, cost, and data control.

Systems engineered for uncompromising accuracy

Generative AI is only as useful as the systems around it. Beyond models, AI21 Labs provides end-to-end GenAI engineering capabilities that help customers move from experiments to dependable, scaled deployments quickly.

Key elements of our GenAI engineering stack include:

  • AI21 Maestro: agentic accuracy from day 1
    Maestro is an AI planning and agent orchestration system that coordinates multiple models, tools, and data sources to deliver more reliable outcomes (with fewer hallucinations) for your most complex workflows.
  • System-level reliability and governance
    Our approach integrates evaluation, guardrails, and policy controls into the system design, so customers can audit and govern how GenAI is used across teams and applications.
  • Solutions building on top of AI21 Maestro
    Our team of AI experts with deep technical knowledge about designing AI workflows work with our customers to build out their most complex AI initiatives, shortening time to value significantly.

We believe these engineering strengths are central to why AI21 Labs was recognized in the EMQ for Generative AI Engineering.

What this means for our customers and partners

To us, being positioned as an Emerging Visionary in both EMQs validates a strategy many of our customers have already adopted:

  • One partner for both models and systems – Instead of stitching together disconnected components, customers can rely on AI21 for foundation models plus agentic orchestration, evaluation, and deployment.
  • Designed for production, not just demos – Our focus is on accurate, controllable AI that can power mission-critical workflows in industries such as finance, healthcare, manufacturing, and technology.
  • Future-ready roadmap – As the generative AI market evolves, we’re committed to leading in areas like hallucination reduction, long-context reasoning, tool-using agents, and private, compliant deployments.

We believe this Gartner recognition reinforces our mission: to build trustworthy AI systems that powers the enterprise towards superproductivity.