# AI21 Labs Ltd.
*Also known as AI21 Labs*

- Website: https://www.ai21.com
- Location: Tel Aviv, Israel
- Agent profile: https://directory.haycion.ai/agents/ai21-com

> AI21 Labs builds enterprise-grade AI systems and foundation models to empower organizations with reliable, cost-effective AI at scale.

AI21 Labs is an enterprise-focused AI company developing trustworthy, scalable AI systems and foundation models to help organizations deploy reliable, cost-efficient AI at scale. It emphasizes responsible AI, privacy and security, and serves a wide range of industries by enabling system-wide capabilities such as optimized routing, training, and governance to reduce costs and increase productivity.

**Mission:** Trustworthy artificial intelligence that powers humanity towards superproductivity

## Products & Services

### [Intelligent Gateway](https://www.ai21.com/gateway/)
*Product*
Automatically reduces token waste and cost while ensuring high-quality performance.

- **Frontier quality preservation** — Preserve High Quality
- **Private-evals guided optimization** — Optimizes Configuration Using Private Data
- **Cost efficiency** — Cuts Operational Costs
- **Token cost reduction** — Reduce Token Costs
- **Trajectory-aware savings** — Optimize Entire Agent Run
- **Intelligent model routing** — Routes Requests Based on Evaluation
- **Harness optimizer integration** — Optimize Harness Configuration
- **Adaptive routing** — Select Optimal Model
- **Token waste reduction** — Minimize Token Waste

### [Post-Training](https://www.ai21.com/post-training/)
*Product*
Achieve frontier performance with tailored, cost-effective post-training solutions.

- **Collaborative post-training** — Empower Teams With Direct Involvement
- **Cost-efficient frontier performance** — Reduce Costs While Enhancing Quality
- **Frontier-quality tuning for small models** — Achieve Competitive Performance
- **In-house frontier capabilities** — Foster Internal Expertise
- **Data privacy and security compliance** — Protect Sensitive Information

## Market Segments

- **LLM cost and model optimization** (market size $400M, CAGR 26%): Tools to estimate token usage, compare model cost-efficiency, and plan prompt and context strategies to optimize deployment costs and model selection.
- **Foundation model training and fine-tuning** (market size $2.7B, CAGR 70%): Capabilities for pretraining, fine-tuning, curating, and managing foundation models and large-scale model workflows, including GPU-accelerated pipelines for video and multimodal data.
- **AI governance and model oversight** (market size $620M, CAGR 37%): Capabilities to inventory, evaluate, and govern AI/ML models including model registry, LLM evaluations, shadow AI detection, lifecycle management, and audit-ready evidence for model risk decisions.