What Jina AI does

Jina AI is an open-source neural search and embedding model company founded in 2020 in Berlin, Germany. It builds foundation models for search, retrieval-augmented generation (RAG), and multimodal AI applications, with a stated focus on developer-facing APIs and open-source model releases. Its core product set comprises jina-embeddings (text and multimodal embedding models), jina-reranker (a reranking model for improving search relevance), and Reader (a URL-to-text conversion utility). The models are proprietary, trained in-house, and have achieved state-of-the-art performance on the Massive Multilingual Text Embedding Benchmark (MMTEB), with multimodal (text + image) support.

The company operates an API-first, usage-based pricing model with a freemium tier, distributing its models through HuggingFace, Google Model Garden (since April 2026), and the Elastic Inference Service. Its enterprise customer list includes Singapore Airlines, Salesforce, Deutsche Bank, Fivetran, AWS, Databricks, Shopify, Substack, and PayFit, indicating traction across financial services, travel, SaaS, and developer tooling verticals. The headcount is reported in the 11-50 range.

In October 2025, Jina AI was acquired by Elastic N.V. (NYSE: ESTC), a public search infrastructure company. Co-founder and CEO Han Xiao transitioned to VP of AI at Elastic. Post-acquisition, Jina continues to ship model updates (jina-embeddings-v5-text in February 2026) and expand distribution, but its independent corporate trajectory has ended. The acquisition price and standalone revenue have not been publicly disclosed.

Name

Jina AI

Legal name

Jina AI Limited

Website

https://jina.ai

Company type

Private

Founded year

2020

Operating status

Acquired

Headcount range

11–50 employees

Short description

Jina AI is an open-source neural search and embedding model company that builds proprietary foundation models for search, RAG, and multimodal AI. Acquired by Elastic N.V. in October 2025, the Berlin-based company serves enterprise developers and AI teams globally.

Ownership category

akta.pro rank

Product category

AI Search Infrastructure

NAICS

Software Publishers (5132), Computer Systems Design and Related Services (54151), Web Search Portals and All Other Information Services (51929)

akta.pro primary industry

Model Hosting, Serving & Inference Platforms (HDAAACAB)

akta.pro secondary industries

Retrieval-Augmented Generation (RAG), Vector Databases & Knowledge Grounding (HDAAACAE), Enterprise AI Data & Knowledge Platforms (Vector Databases, Knowledge Graphs) (HDAEANAH), Enterprise Foundation Model Integration & APIs (Connectors, Governance, Deployment) (HDAAACAO), Generative AI & LLM Solutions Services (RAG, Agents, Copilots) (BPAEAHAG)

Keywords

• Neural search models
• Embedding models
• Semantic search API
• Vector search platform
• Multimodal AI models

Headquarters

HQ city

Berlin

HQ country

Germany

HQ region

Europe

Offices1 record

Markets served

GTM type

B2B

Offering type

Software

Cost components

Technology or R&D, Personnel, Infrastructure, Marketing or Sales, Operations

Revenue model

1. API Usage Fees: Usage-based API access to embedding, reranking, and reader services with instant start capability - no credit card or registration required

Pricing tiers

Go-to-market motion1 record

Distribution channels4 records

Marketing channels3 records

Core offering

Jina AI provides a search foundation platform that delivers multimodal multilingual embedding models, rerankers, and small language models via API. The models are designed for semantic search, vector search, retrieval-augmented generation (RAG), and AI-native applications, with native deployment through Elasticsearch, Google Cloud Model Garden, HuggingFace, and self-hosted options.

Product overview

Jina AI is a search foundation platform offering a portfolio of AI models and tools centered on semantic and multimodal search. The core offerings include Embeddings (multilingual text/image embedding models) and Reranker (search result re-ranking), complemented by Reader (URL-to-Markdown conversion for LLMs), the Jina AI API for programmatic access, MCP Server for AI agent integration, and CLI for developers. All models are available through Elastic Inference Service for native Elasticsearch deployment, and via Hugging Face for self-hosted use.

Differentiator

Problem solved

Functional benefit

Brands

• Jina Embeddings: World-class multimodal multilingual embedding models developed by Jina AI for semantic search and AI applications.
• Jina Reranker
• Jina Reader
• Jina AI Models

Products and services

• Embeddings World-class multimodal multilingual embedding models that convert text and images into vector representations for semantic search and machine learning applications.
• Reranker World-class reranker model for maximizing search relevancy by re-ranking search results to improve precision and relevance in AI-powered search applications.
• Reader Tool that converts any URL to Markdown format for better grounding of large language models, enabling AI applications to process web content effectively.

Quantifiable outcome

• State-of-the-art performance on MMTEB benchmark outperforming models with 7B to 14B parameters

Named customers10 records

Segments2 records

Ideal customer profiles2 records

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

Integration3 records

AI capability6 records

Feature5 records

Partnerships

Four partnerships are on record, tiered core and flagship.

• Google (Model Garden)coreTechnology or Integration · 23 April 2026Jina Embeddings v3 is available as a self-deployable partner model on Google's Gemini Enterprise Agent Platform Model Garden, enabling enterprises to run high-performance embedding models within their own Google Cloud VPCs.
• ElasticflagshipStrategic or Co-development Partner · 9 October 2025Elastic acquired Jina AI to enhance its capabilities in vector search, retrieval-augmented generation, and context engineering. Han Xiao (former CEO) became VP of AI at Elastic. Jina AI's models are integrated into Elasticsearch's default inference service.
• Elastic Inference ServicecoreTechnology or IntegrationJina AI models are available through Elastic Inference Service, allowing self-managed Elasticsearch customers to access GPU-powered inference without managing GPU infrastructure while keeping data on-premises.
• HuggingFacecoreTechnology or IntegrationJina AI models continue to be released on HuggingFace. Jina AI is among the 50 most downloaded entities on Hugging Face, with Germany (13.2% of top 50 downloads) partly attributed to Jina AI's presence.

Scale indicators4 records

Recent moves6 records

Expansion highlights5 records

Direct peers

• Weaviate: Open-source vector database with embedded model integrations and RAG tooling. Targets the same enterprise retrieval workloads and often competes for the same embedding-model integration slots.
• Pinecone: Managed vector database serving the same RAG and semantic search use cases as Jina. Comparable on target buyer (enterprise developers building retrieval pipelines) and tightly coupled to embedding-model choices.
• Qdrant: Open-source vector search engine with its own embedding integrations. Serves the same enterprise semantic-search and RAG workload that Jina's embedding and reranker products target.
• Cohere: Enterprise-focused foundation model provider with Embed, Rerank, and RAG products. Directly comparable to Jina on multilingual embeddings and reranking APIs targeting the same enterprise developer buyer.
• Voyage AI: Specialized embedding and reranking model provider focused on retrieval accuracy for RAG. Closely comparable on product scope (embeddings + rerankers) and benchmark-driven positioning versus Jina.

Emerging players

• Together AI: Open-model inference and fine-tuning platform offering hosted embeddings and rerankers. Targets similar developer-first enterprise buyers with API-first GTM and freemium access.
• Hugging Face: Open-source model hub and emerging inference platform that hosts Jina's models and competes via community embedding models (BGE, E5, Nomic). Strategic distribution partner and partial competitor.

Broad incumbents

• OpenAI: Frontier model lab offering text-embedding-3 and broader AI platform. Competes head-on in enterprise embedding APIs but as part of a much wider model portfolio rather than a retrieval-specialized offering.
• Anthropic: Foundation model provider (Claude) increasingly offering retrieval and embeddings capabilities. Overlaps with Jina as an enterprise AI platform whose customers build RAG systems on top.
• Google Cloud Vertex AI: Hyperscaler AI platform offering text and multimodal embeddings at scale. Competes on enterprise embedding workloads via bundled pricing and existing Google Cloud footprint.

Market position

Strengths5 records

Weaknesses4 records

Competitive moat5 records

Key risks5 records

Key highlights6 records

Customer concentration

• GitHubgithub.com/jina-ai
• LinkedInlinkedin.com/company/jinaai
• Xx.com/JinaAI_

Revenue estimate

Valuation estimate

Number of profiles

Funding overview

Funding rounds3 records

Investors5 records

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Jina AI