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Machine Learning Workspaces
Deployed Instantly

  • Data Acquisition
  • Batch Analytics
  • Stream Analytics
  • Visualization

A Foundation for Your Use Cases

No need for IT to deploy Big Data Infrastructure

 

From medical diagnoses all the way to speech recognition: get started quickly with Tengu

Minutes, not Weeks

Start working on your data sets in 30 minutes or less
Deploying big data infrastructures for machine learning purposes usually takes days or weeks to deploy. As a result, teams lose a lot of time.

With just a few mouse clicks, Tengu delivers a digital work environment which makes it easy to deploy and manage a combined set of tools for training models on data sets and putting the trained algorithms to work.
 
Check out our Trial which deploys an Apache Spark environment for you.

Cutting the Costs

Starting with Machine Learning doesn't have to be expensive
Traditionally, service providers are charged with the setup of the infrastructures. So the biggest cost lays in the many hours of manual setup, configuring and servicing the technologies that must work together.

Tengu manages all of this for you by automating all the manual labor which results in 10 times faster setup, i.e. much cheaper, while your infrastructure remains up to date ... forever.
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And More

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No Vendor Lock-in

Open to all kinds of big data processing, storage or cloud components, preventing vendor lock-in.
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Public or Private Clouds

Deploy in private (VMWare, OpenStack, bare metal ...) or public clouds (Google, Amazon, Azure, ...)
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Benchmarking

Hardware, services and clusters are continuously monitored for benchmarking purposes.

Example Use Case: Social Media Moderation

Using Tengu to Deploy a Text and Image Analysis Workflow

Leave it to Tengu to Deploy

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The Automatic Monitoring for Cyberspace Applications (AMiCA) project was a 4-year innovation project sponsored by the agency Flanders Innovation & Entrepreneurship.In the AMiCA project, possibly threatening situations on social networks were identified by means of text and image analysis. The goal was to ensure the online safety of children. There were three critical situations to be detected: cyberbullying, sexually transgressive behavior, and depression and suicidal behavior.
 
In this project Tengu was used to set up, configure and integrate all the analysis components developed by the other partners. A complete analysis workflow connected to social media streams in an instant.

Pricing

€ 83 / Day

Try 14 days Free

 

Workspace consists of 9 instances including Apache Spark, HDFS, and Zeppelin

Learn more about Tengu Platform on the Product Page