Announcing our $25M seed round, led by Khosla, Microsoft & Insight.

Announcing our $25M seed round, led by Khosla.

Introducing GLiNER-2

State of the art classification and NER all-in-one model

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200,000+

Monthly Downloads

2400+

GitHub Stars

90M+

End Users

200,000+

Monthly Downloads

2400+

GitHub Stars

90M+

End Users

GLiNER-2 XL for Agents

Model guardrails, text classification, retrieval with <100ms latency

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Pioneer API

(Alpha)

Relationship memory, outcome prediction, personalized retrival

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Book my usual cafe for tomorrow’s meeting.

Book my usual cafe for tomorrow’s meeting.

Book my usual cafe for tomorrow’s meeting.

Your agent understands what your users mean — instantly.

Got it. booking Café Luna for 10 AM. Same window seat as last time?

New capabilities with GliNER-2

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Named Entity Recognition

Identify people, companies, locations, and concepts in any text — instantly. GLiNER 2-XL uses zero-shot transfer and contextual embeddings to detect new entities with human-level precision, without retraining.

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Locations

Peoples

Companies

Text Classification

Understand intent, sentiment, and topic at scale.
Classify messages, documents, or conversations into fine-grained categories that evolve with your users — powered by adaptive, self-learning agents.

GLiNER-2 API

Structured Extraction

Turn unstructured text into clean, actionable data.
Automatically extract key fields like amounts, addresses, or events, and map them into your database or workflow — ready for analytics, automation, or compliance.

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New capabilities with GliNER-2

View GLiNER-2 Paper

Named Entity Recognition

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Text Classification

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Structured Extraction

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New capabilities with GliNER-2

View GLiNER-2 Paper

Named Entity Recognition

Try GLiNER-2

Text Classification

Try GLiNER-2

Structured Extraction

Try GLiNER-2

Our Research

GLiNER: Generalist and Lightweight Model for Named Entity Recognition

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GLiNER: Generalist and Lightweight Model for Named Entity Recognition

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GLiNER: Generalist and Lightweight Model for Named Entity Recognition

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Steering off Course: Reliability Challenges in Steering Language Models

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Steering off Course: Reliability Challenges in Steering Language Models

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Steering off Course: Reliability Challenges in Steering Language Models

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GLiNER2: An Efficient Multi-Task Information Extraction System with Schema-Driven Interface

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GLiNER2: An Efficient Multi-Task Information Extraction System with Schema-Driven Interface

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GLiNER2: An Efficient Multi-Task Information Extraction System with Schema-Driven Interface

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Beyond Reactivity: Measuring Proactive Problem Solving in LLM Agents (PROBE benchmark)

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Beyond Reactivity: Measuring Proactive Problem Solving in LLM Agents (PROBE benchmark)

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Beyond Reactivity: Measuring Proactive Problem Solving in LLM Agents (PROBE benchmark)

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Our Team

Explore Open Positions

We believe the next breakthroughs in intelligence research will come from billions of agentic employees, and we are in a unique position to help them. If you

have aligned expertise and are excited by our mission, please get in touch.

Founding Team
Ash Lewis @ash_csx
George Hurn-Maloney @george_onx
Tom Lewis
Julia White
Urchade Zaratiana @urchadeDS
Varun Bharadhwaj
Dheeraj Rajagopal @dheerajgopal
Henrijs Princis
Gil Pasternak
Kelton Zhang
Matt Thomas
Dhruv Atreja @DhruvAtreja1
Henry Fawcett