AI21 Labs develops generative AI systems that utilize advanced foundation models and a built-in Retrieval-Augmented Generation (RAG) engine to create conversational AI applications grounded in enterprise data. Their technology enhances enterprise workflows by providing accurate, reliable, and scalable AI solutions tailored to specific organizational needs.
Funding
$508M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
+5Founders
Product
Problem
Enterprises struggle to effectively leverage generative AI due to challenges in grounding AI responses in accurate, reliable, and up-to-date proprietary data. Traditional generative AI models often lack the domain-specific knowledge and contextual awareness required for enterprise workflows, leading to inaccurate or irrelevant outputs. This necessitates extensive prompt engineering and fine-tuning, increasing complexity and hindering scalability.
Solution
AI21 Labs offers generative AI systems designed to enhance enterprise workflows by providing accurate, reliable, and scalable AI solutions tailored to specific organizational needs. Their technology utilizes advanced foundation models and a built-in Retrieval-Augmented Generation (RAG) engine to create conversational AI applications grounded in enterprise data. The RAG engine serves as the source of truth for creating conversational AI experiences, eliminating the need for custom prompt engineering or fine-tuning. AI21's human-centered AI solutions are designed to be practical and scale easily to fit enterprise needs, offering turnkey tools and rigorous security protocols for enterprise-ready performance.
Target Audience
The primary target audience includes enterprises across various industries seeking to implement generative AI solutions for enhancing workflows, improving customer engagement, and leveraging proprietary data assets.
Features
- Built-in RAG engine (RAGaaS) for grounding AI responses in enterprise data without custom prompt engineering.
- Jamba, a production-grade Mamba-based model delivering quality and performance.
- Conversational AI capabilities for building applications that allow customers and employees to chat with proprietary data.
- Enterprise-grade security with end-to-end compliance and regulatory standards.
- Flexible deployment options including SaaS APIs on AI21 Platform, partner integrations, and private VPC or on-premise deployments.
- Dedicated integration team offering on-demand guidance and solution architects providing deployment experience.