Text to Knowledge

Text Analysis

Specifically designed for Big Data applications, our technology turns large text collections into rich knowledge.

Entity Disambiguation

Building on years of research, we recognize and disambiguate entities better than anyone else, according to IBM

Knowledge Graph

YAGO is among the most comprehensive and precise knowledge graphs, with a confirmed accuracy of more than 95%.

World-class Research

Our scientific publications are among the most cited ones in the international automatic text understanding community.

 

Developer APIs

Build applications that leverage our text understanding technology.
Beta available now!

Multiple Languages

Our technology understands English, Spanish, Chinese, and German. More languages to come!

Cloud Computing

We’re running our services in the Cloud on flexible infrastructure, infinitely scalable. Powered by Microsoft Azure.

Customizable Knowledge

Dealing with general purpose entities? Or highly domain-specific ones? We’re helping you integrate your corporate knowledge graph.

Use our API

Ambiverse Natural Language Understanding API combines two essential tasks. Given a text, our Entity Linking Service recognizes names and matches them onto canonical entities (e.g., individuals, organizations, or places) registered in the Wikipedia-derived YAGO knowledge graph. You can then retrieve additional information about these entities using the Knowledge Graph Service. Our Free Plan allows you to process up to 1,000 documents per month for free!
curl https://api.ambiverse.com/entitylinking/v1beta1/analyze -d '{ "text": "When Who played Tommy in Columbus, Pete was at his best." }'
{
  "matches": [
    {
      "charLength": 3,
      "charOffset": 5,
      "entity": {
        "kgId": "YAGO3:<The_Who>",
        "score": 0.5370212826340575
      },
      "text": "Who"
    },
    {
      "charLength": 5,
      "charOffset": 16,
      "entity": {
        "kgId": "YAGO3:<Tommy_(album)>",
        "score": 0.08736831103697579
      },
      "text": "Tommy"
    },
    (...)
  ]
}
curl https://api.ambiverse.com/v1beta2/entitylinking/analyze -d '{ "text": "When Who played Tommy in Columbus, Pete was at his best." }'
{
  "matches": [
    {
      "charLength": 3,
      "charOffset": 5,
      "entity": {
        "kgId": "YAGO3:<The_Who>",
        "score": 0.5370212826340575
      },
      "text": "Who"
    },
    {
      "charLength": 5,
      "charOffset": 16,
      "entity": {
        "kgId": "YAGO3:<Tommy_(album)>",
        "score": 0.08736831103697579
      },
      "text": "Tommy"
    },
    (...)
  ]
}
curl -H "Content-Type: application/json" https://api.ambiverse.com/v1beta2/knowledgegraph/entities -d '[ "YAGO3:<Tommy_(album)>" ]'
{
  "entities": [
    {
      "id": "YAGO3:<Tommy_(album)>",
      "name": "Tommy (album)",
      "links": [
        {
          "source": "Wikipedia",
          "url": "http://en.wikipedia.org/wiki/Tommy%20%28album%29"
        }
      ],
      "description": "Tommy is the fourth album by English rock band The Who, released by Track Records and Polydor Records in the UK and Decca Records/MCA in the US. A double album telling a loose story about a \"deaf, dumb and blind boy\", Tommy was the first musical work to be billed overtly as a rock opera. Released in 1969, the album was mostly composed by Pete Townshend.",
      "categories": [
        "YAGO3:<wikicat_The_Who_albums>",
        "YAGO3:<wikicat_1969_albums>",
        "YAGO3:<wordnet_album_106591815>",
        (...)
      ]
    }
  ]
}
Entity Linking Service - Recognize and link entities to our knowledge graph.
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About Us

Ambiverse, a spin-off from the Max Planck Institute for Informatics, develops technologies to automatically understand, analyze, and manage Big Data collections. Ambiverse is built on years of state-of-the-art research in text analytics. In 2015, Ambiverse received an EXIST Transfer of Research grant by the German Federal Ministry for Economic Affairs and Energy.

Johannes Hoffart

Johannes Hoffart

CEO & Co-Founder

Johannes has a keen interest in the big picture and making things work. He is the leading figure behind Ambiverse, steering the business in the right direction – with an occassional foray into the technical underpinnings.

Daniel Bär

Daniel Bär

COO & Co-Founder

Daniel is an expert for software architecture and cloud solutions for natural language applications. He is passionate about efficient processes and drives the day-to-day business at Ambiverse.

 

Dragan Milchevski

Dragan Milchevski

CTO & Co-Founder

Dragan is a passionate coder with a knack for great visual design. With his background in knowledge-driven applications, he is driving all things engineering at Ambiverse.

 

Luciano Del Corro

Luciano Del Corro

CINO & Co-Founder

Luciano is an economist who embraced automatic text understanding. He has the ability to solve language understanding problems in a principled but tractable manner, making him the key person for bringing research to applications.

Prof. Gerhard Weikum

Prof. Gerhard Weikum

CSO & Co-Founder

Gerhard is a Research Director at the Max Planck Institute for Informatics. He supports Ambiverse with his extensive scientific expertise in natural language understanding and knowledge creation.

See how Ambiverse can help you make sense of your texts.