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Natural Language Processing platform

Extracting information from unstructured contents has never been easier

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Globex By Globex a fait l’acquisition de Operation Acquisition Acme Of Acme le 20 février Date 2019-02-20 pour un montant de 234 millions de dollars Amount $234,000,000
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An innovative way to understand contents

  • viky.ai provides you with a unique codeless user interface. This is a new way to create semantic modules that are easy to integrate through API into your system.
  • Semantic bricks, named viky.ai's agents, are your multilingual assistants to find relevant data.
  • The collaborative creation of entities and interpretations has never been as simple!

Key features of viky.ai NLP platform

Open community

It's easy to start using viky.ai thanks to public agents available to everyone. Your participation will contribute to enriching viky's platform.

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Reusability

viky.ai's agents are like well-known play bricks. Use elementary agents to compose your own agents, no need to reinvent the wheel.

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Collaboration

Private agents in your space can be managed to work collaboratively within your organization.

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Ready to use

Once created, viky.ai's agents are directly operational for your use cases. Use API functions to play with them.

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Codeless

We have created a codeless and end-user-oriented platform: everyone in the organization can play with viky.ai!

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Multilingual

Define multiple languages for your agents.

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Imagine new business cases

With viky.ai your unstructured textual contents will reveal its hidden semantic. This will enrich your existing data and allow you to imagine new business cases.

There are as many use cases as there are possibilities of analysing texts. Ideas are liberty and semantic is free!

Here are some examples of what you can build:

  • Chatbots and intelligent assistants.
  • Data structuration.
  • Home automation.
  • Analysis of feelings, extraction of opinions.
  • Event detection in news.
  • Recognition of entities.
  • Analysis of comments or verbatims.
  • And your unforeseen needs …

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