AI Solutions for TMT and Other

Leveraging the abundance of data to uncover insights and introduce automation

Up to 50%

faster and more accurate image and video tagging

SURPASSING

Human capabilities in sentiment analysis and bot detection

Up to 30%

lower customer churn and increased NPS

Use cases

Video and image taggingVideo and image tagging

Automating challenging video and image analysis to produce results on a par with human work

  • Aerial/satellite image recognition and classification
  • Detection of anomalies based on images (e.g. supporting doctors diagnosis)
  • Autonomous car simulations

Content sentiment analysisContent sentiment analysis

AI-driven language processing to automate sentiment analysis

  • Real-time data stream analysis
  • Finding correlations and patterns between different data streams

Viewer intelligenceViewer intelligence

Offering better customer experience and increasing loyalty

  • A recommendation engine with personalized suggestions for each customer
  • Calculating the probability of churn
  • Predicting revenue related to specific content

Programmatic ad optimizationProgrammatic ad optimization

Discovering anomalies, spotting bots and improving the performance of ad campaigns

  • Predicting the click-through rate of internet advertisements
  • Spotting internet bots that click ads

Let’s connect!

Are you curious if your business challenge can be tackled with AI?
Contact us and we’ll give you a free assessment and a quotation

Contact us!

Case study

Aerial image recognition

Project challenge:

The client needed a system to automate the recognition of Right Whales from aerial photographs.

Tracking the individual Right Whales was necessary to protect the endangered species, track migration routes and count the whales in a herd. Whale identification had always been done manually, with skilled researchers comparing photos with a catalogue, a process that took up to three hours.

deepsense.ai’s solution reduced the time to three minutes, by developing the most accurate model in the world with over 87% up to 98% of accuracy. The model was based on Convolutional Neural Networks that have been optimally selected to deal with the uneven distribution of training data (some whales were underrepresented in the training set)

About the client:

The National Oceanic and Atmospheric Administration is a US agency in charge of protecting oceanic wildlife.

  • Country: US
  • Number of employees: 11,000+
  • Overall yearly budget: $5B+

Success stories

Predicting CTR and spotting bots in online advertising

CTR prediction 35% CTR prediction improvement over existing heuristics. Learn more

#retail #dataanalytics

Autonomous vehicles

Volkswagen Generated over 100 years of simulated driving experience for vehicle training Learn more

#automotive#reinforcementlearning

Detecting propaganda and illicit content

The United Nations 91% of Twitter accounts disseminating terrorist propaganda identified Learn more

#publicsector#NLP

Automated mapping from satellite imagery

Humanity and Inclusion 95% accuracy in object recognition on satellite images Learn more

#nongov#computervision

Diagnosing diabetic retinopathy

California Healthcare Foundation Human expert-level accuracy Learn more

#healthcare#computervision

Aerial image recognition

NOAA 98% time reduction in image analysis Learn more

#publicsector#computervision

Read more about AI in Media

Logo detection and brand visibility analytics – example

August 29, 2019Monitoring brand visibility is an important business problem. We describe our solution for logo detection and visibility analytics with deep learning.

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AI movie restoration – Scarlett O’Hara HD

July 18, 2019With convolutional neural networks and state-of-the-art image recognition techniques it is possible to make old movie classics shine again.

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Museum Treasures – AI at the National Museum in Warsaw

September 13, 2018Object recognition is common for diagram analysis and text recognition. The technique may soon be used to popularize art and culture.

Read more

AI Monthly Digest #18 – the pixelated first step toward megastructures

March 16, 2020As we predicted in our AI Trends 2020, NLP is the year’s leading trend. But research on self-regenerating structures has likewise been both surprising and fascinating. February was rich in news on self-regenerating machines and NLP-related events and research.

Read more

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Find us
  • deepsense.ai, Inc.
  • 2100 Geng Road, Suite 210
  • Palo Alto, CA 94303
  • United States of America
  • deepsense.ai Sp. z o.o.
  • al. Jerozolimskie 162A
  • 02-342 Warsaw
  • Poland
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