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Top Nansen Alternatives, Competitors & Similar Software

Founded 2020

Find 20 competitors in the Data Science and Machine Learning Platforms. Compare other SaaS such as POSpulse, rater8 and RailComm. These Nansen competitors have raised $96.6M and together serve more than 801.1K customers and employ over 1.8K team members.

Compare Nansen with POSpulse
1
POSpulse

Data Science and Machine Learning Platforms

Developer of a shopping insight platform designed to offer real-time information, benchmarks and recommended actions. The company's platform analyzes all processes throughout the customer decision journey in order to support retailers and manufacturers in the marketing of their products, enabling enterprises to make better decisions easily.

Revenue
$11.9M
Customers
800K
Year founded
2014
Funding
$6.2M
Team size
29
Location
Germany
Compare Nansen with rater8
2
rater8

Data Science and Machine Learning Platforms

Rater8 is a healthcare reputation management platform that automates patient feedback and provides real-time insights into practice operations.

Revenue
$11.9M
Customers
-
Year founded
2015
Funding
-
Team size
77
Location
United States
Compare Nansen with RailComm
3
RailComm

Data Science and Machine Learning Platforms

Developer of software-based rail automation solutions. The company's software-centric solutions provide yard automation, computer-aided dispatching, and predictive analytics for condition-based maintenance, helping both freight and passenger/transit railroads, including rail-served industrials, intermodal terminals, and ports monitor, analyze, and control key assets of the rail infrastructure.

Revenue
$11.9M
Customers
-
Year founded
1999
Funding
$372.5K
Team size
33
Location
United States
Compare Nansen with RailComm
4
RailComm

Data Science and Machine Learning Platforms

Developer of software-based rail automation solutions. The company's software-centric solutions provide yard automation, computer-aided dispatching, and predictive analytics for condition-based maintenance, helping both freight and passenger/transit railroads, including rail-served industrials, intermodal terminals, and ports monitor, analyze, and control key assets of the rail infrastructure.

Revenue
$11.9M
Customers
-
Year founded
1999
Funding
$372.5K
Team size
33
Location
United States
Compare Nansen with ContinuousQuality
5
ContinuousQuality

Data Science and Machine Learning Platforms

Developer of a test automation tool designed to provide regression testing for websites. The company's tool provides an overlapping cycles of full regressions, Overnight targeted checks and smoke checks executed with manual, automation, crowdsourcing and artificial intelligence across all target platforms, enabling software creators to reliably and quantitatively measure the efficacy, improve the visibility and enhance speed of a build before production.

Revenue
$11.9M
Customers
-
Year founded
2016
Funding
-
Team size
96
Location
United States
Compare Nansen with Swiftly, Inc.
6
Swiftly, Inc.

Data Science and Machine Learning Platforms

Swiftly is the leading transit data platform for agencies to share real-time passenger information, manage day-to-day operations, and improve service performance. Today, over 140 transit agencies in 8 countries – including LA Metro, MARTA, SEPTA, MBTA, and WMATA – rely on Swiftly to improve on-time performance by up to 40%, increase passenger information accuracy by up to 50%, and analyze transit data 90% faster. The result is better service reliability, increased ridership, and more efficient transit operations.

Revenue
$11.9M
Customers
-
Year founded
2014
Funding
-
Team size
108
Location
United States
Compare Nansen with Swiftly, Inc.
7
Swiftly, Inc.

Data Science and Machine Learning Platforms

Swiftly is the leading transit data platform for agencies to share real-time passenger information, manage day-to-day operations, and improve service performance. Today, over 140 transit agencies in 8 countries – including LA Metro, MARTA, SEPTA, MBTA, and WMATA – rely on Swiftly to improve on-time performance by up to 40%, increase passenger information accuracy by up to 50%, and analyze transit data 90% faster. The result is better service reliability, increased ridership, and more efficient transit operations.

Revenue
$11.9M
Customers
-
Year founded
2014
Funding
-
Team size
108
Location
United States
Compare Nansen with Swiftly, Inc.
8
Swiftly, Inc.

Data Science and Machine Learning Platforms

Swiftly is the leading transit data platform for agencies to share real-time passenger information, manage day-to-day operations, and improve service performance. Today, over 140 transit agencies in 8 countries – including LA Metro, MARTA, SEPTA, MBTA, and WMATA – rely on Swiftly to improve on-time performance by up to 40%, increase passenger information accuracy by up to 50%, and analyze transit data 90% faster. The result is better service reliability, increased ridership, and more efficient transit operations.

Revenue
$11.9M
Customers
-
Year founded
2014
Funding
-
Team size
108
Location
United States
Compare Nansen with Vuelio
9
Vuelio

Data Science and Machine Learning Platforms

Vuelio helps organisations make their story matter by providing monitoring, insight, engagement and evaluation tools for politics, editorial and social media in one place. Our technology is used by more 3,000 organisations across the world, from large enterprises and communications agencies to public sector bodies and not-for-profits.

Revenue
$11.9M
Customers
-
Year founded
1995
Funding
-
Team size
108
Location
United Kingdom
Compare Nansen with webz.io
10
webz.io

Data Science and Machine Learning Platforms

Webz.io provides machine-defined web data. It transforms the vast pool of web data from across the open and dark web into structured web data feeds, ready for machines to consume.

Revenue
$11.9M
Customers
300
Year founded
2015
Funding
-
Team size
62
Location
Israel
Compare Nansen with webz.io
11
webz.io

Data Science and Machine Learning Platforms

Webz.io provides machine-defined web data. It transforms the vast pool of web data from across the open and dark web into structured web data feeds, ready for machines to consume.

Revenue
$11.9M
Customers
300
Year founded
2015
Funding
-
Team size
62
Location
Israel
Compare Nansen with webz.io
12
webz.io

Data Science and Machine Learning Platforms

Webz.io provides machine-defined web data. It transforms the vast pool of web data from across the open and dark web into structured web data feeds, ready for machines to consume.

Revenue
$11.9M
Customers
300
Year founded
2015
Funding
-
Team size
62
Location
Israel
Compare Nansen with Synthace
13
Synthace

Data Science and Machine Learning Platforms

Developer of a cloud software platform designed to automate and improve the success rate of biological research and development. The company's platform uses artificial intelligence for designing and simulating biological systems, as well as methods of collating, structuring and analyzing experimental data, enabling clients to transfer biological designs into real 'wet lab' experiments via logistics simulation and execution seamlessly.

Revenue
$11.8M
Customers
-
Year founded
2011
Funding
$43.9M
Team size
66
Location
United Kingdom
Compare Nansen with Synthace
14
Synthace

Data Science and Machine Learning Platforms

Developer of a cloud software platform designed to automate and improve the success rate of biological research and development. The company's platform uses artificial intelligence for designing and simulating biological systems, as well as methods of collating, structuring and analyzing experimental data, enabling clients to transfer biological designs into real 'wet lab' experiments via logistics simulation and execution seamlessly.

Revenue
$11.8M
Customers
-
Year founded
2011
Funding
$43.9M
Team size
66
Location
United Kingdom
Compare Nansen with First Due
15
First Due

Data Science and Machine Learning Platforms

Developer of an online data sending platform designed to protect the lives of firefighters. The company's online data sending platform programmatically gathers information from online and offline sources, translates that data into an easy-to-consume format and makes it accessible to first responders at the time of dispatch on any device and also offers location and scene data to firefighters, enabling them to make concise decisions.

Revenue
$11.8M
Customers
-
Year founded
2010
Funding
$1.8M
Team size
294
Location
United States
Compare Nansen with Sales Layer
16
Sales Layer

Data Science and Machine Learning Platforms

Developer of an information platform created to improve product management process. The company's platform uses analytics and automation to centralizes data and synchronizes it in all sales channels automatically to optimizes the management for all types of companies regardless of their size, sector or type, enabling brands and retailers to increase their sales by improving their content across multiple interfaces and multiple sales channels.

Revenue
$11.8M
Customers
200
Year founded
2013
Funding
-
Team size
96
Location
Spain
Compare Nansen with Cherre
17
Cherre

Data Science and Machine Learning Platforms

Cherre is the leader in real estate data and insight. We connect decision makers to accurate property and market information, and help them make faster, smarter decisions. By providing a unique “single source of truth,” Cherre empowers customers to evaluate opportunities and trends faster and more accurately, while saving millions of dollars in manual data collection and analytics costs.

Revenue
$12M
Customers
-
Year founded
2016
Funding
-
Team size
109
Location
United States
Compare Nansen with WINGS ICT Solutions
18
WINGS ICT Solutions

Data Science and Machine Learning Platforms

WINGS is an SME that focuses on the development of solutions (software and hardware) for various vertical sectors (namely utilities, smart/liveable cities, food, etc.) through advanced wireless networking, cloud/IoT, big data, artificial intelligence and security technologies.

Revenue
$12M
Customers
-
Year founded
2012
Funding
-
Team size
109
Location
Greece
Compare Nansen with Omatic Software
19
Omatic Software

Data Science and Machine Learning Platforms

With over 80% of Nonprofit organizations leveraging 4+ cloud solutions today, the need for an integration solution uniquely tailored for Nonprofits has never been greater.​ Omatic solutions are purpose-built using the direct feedback of our 3,000+ social good clients. Founded in 2002, Omatic works to transform the non-profit sector by democratizing data access and insight, setting data free for all social good organizations through the integration on nonprofit best-of-breed technology. We are uniquely placed to empower social good organizations with options and choices in their technology, transforming team time from data clean-up to data driven decisions and mission focus.

Revenue
$12M
Customers
-
Year founded
2002
Funding
-
Team size
109
Location
United States
Compare Nansen with WINGS ICT Solutions
20
WINGS ICT Solutions

Data Science and Machine Learning Platforms

WINGS is an SME that focuses on the development of solutions (software and hardware) for various vertical sectors (namely utilities, smart/liveable cities, food, etc.) through advanced wireless networking, cloud/IoT, big data, artificial intelligence and security technologies.

Revenue
$12M
Customers
-
Year founded
2012
Funding
-
Team size
109
Location
Greece