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Tognos Deep Machine Learning

Tognos Deep Machine Learning Revenue

Software DevelopmentFlag of DEBerlin, Berlin, Germany1-10 Employees

$

Tognos Deep Machine Learning revenue & valuation

Annual revenue$85,555
Revenue per employee$86,000
Estimated valuation?$273,776
Total fundingNo funding

Key Contact at Tognos Deep Machine Learning

Flag of DE

Pavel Mayer

CEO & Founder

Company overview

HeadquartersChoriner Str. 53, Berlin, Berlin 10435, DE
Websites
Keywords
Machine Learning, Neural Networks, Image Recognition
Founded2016
Employees1-10
Socials

Tognos Deep Machine Learning Email Formats

Tognos Deep Machine Learning uses 1 email format. The most common is {first name}.{last name} (e.g., john.doe@tognos.com), used 100% of the time.

FormatExamplePercentage
{first name}.{last name}
john.doe@tognos.com
100%

About Tognos Deep Machine Learning

As veterans of the information technology industry the Tognos founding team packs over fifty years of combined experience, applying and extending latest research in the hottest fields of computer science for over three decades. Our motto “Make Things Work” summarises both our dedication to replace tedious human work by automation and to build practical solutions that work. As a German company we focus on the economic sectors that have made Germany an industrial powerhouse and leading export nation: The automotive and mechanical engineering industry. Our vast experience allows us to build products and solution that comprise highly efficient scalable networked systems integrated with intelligent mobile apps and state-of-the-art user interfaces. After fifty years of over-promising and under-delivering the field of artificial intelligence has finally reached a stage of maturity, enabling practical and cost-effective solutions for information processing problems that have been reserved for human cognition and decision making. Our vast in-house collection of software and training data and our experience in training deep neural networks for detection, classification and understanding of image-, video- and natural language data allow us to process big data in ways that have not been possible in the past. We are working with German leaders in the automotive and mechanical engineering industry and welcome inquiries to work on joint projects and product development in these and related sectors.

Employees by Management Level

Total employees: 1-10

Seniority

Employees

C-Suite

Employees by Department

Tognos Deep Machine Learning has 1 employees across 1 departments.

Departments

Number of employees

Funding Data

Tognos Deep Machine Learning has never raised funding before.

Tognos Deep Machine Learning Tech Stack

Discover the technologies and tools that power Tognos Deep Machine Learning's digital infrastructure, from frameworks to analytics platforms.

reCAPTCHA

reCAPTCHA

Security

jQuery

jQuery

JavaScript libraries

GoDaddy

GoDaddy

Hosting

Snowplow Analytics

Snowplow Analytics

Analytics

Nginx

Nginx

Reverse proxies

HSTS

HSTS

Security

Open Graph

Open Graph

Miscellaneous

Skrollr

Skrollr

JavaScript libraries

Webpack

Webpack

Miscellaneous

MobX

MobX

JavaScript libraries

RSS

RSS

Miscellaneous

Priority Hints

Priority Hints

Performance

Frequently asked questions

Tognos Deep Machine Learning is located in Berlin, Berlin, DE.
Tognos Deep Machine Learning generates an estimated annual revenue of $85,555. This revenue figure reflects the company's market position and business performance in its industry.
Tognos Deep Machine Learning has an estimated valuation of $273,776. This valuation is calculated based on industry-standard revenue multiples and reflects the company's growth potential and market positioning.
Tognos Deep Machine Learning was founded in 2016, making it 10 years old. The company has established itself as a significant player in its industry over this time.
Tognos Deep Machine Learning has approximately 1-10 employees. The company continues to grow its workforce to support its business operations and expansion.

4.8

40,000 users

top 50
high performer
most used
tier 1 accuracy

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