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Top Elemental-Machines Alternatives, Competitors & Similar Software

Founded 2015

Find 20 competitors in the AI & Machine Learning Operationalization (MLOps) Software. Compare other SaaS such as Kontakt.io, Kontakt.io and Skin Analytics. These Elemental-Machines competitors have raised $42.6M and together serve more than 450K customers and employ over 1.4K team members.

Compare Elemental-Machines with Kontakt.io
1
Kontakt.io

AI & Machine Learning Operationalization (MLOps) Software

Kontakt.io Inc. is the global leader in Bluetooth LE IoT devices and indoor location solutions that connect people, locations, and things.

Revenue
$12.2M
Customers
-
Year founded
2013
Funding
$21.3M
Team size
136
Location
United States
Compare Elemental-Machines with Kontakt.io
2
Kontakt.io

AI & Machine Learning Operationalization (MLOps) Software

Kontakt.io Inc. is the global leader in Bluetooth LE IoT devices and indoor location solutions that connect people, locations, and things.

Revenue
$12.2M
Customers
-
Year founded
2013
Funding
$21.3M
Team size
136
Location
United States
Compare Elemental-Machines with Skin Analytics
3
Skin Analytics

AI & Machine Learning Operationalization (MLOps) Software

Skin Analytics is a medical device company that uses artificial intelligence to screen for melanoma skin cancer. They are committed to helping more people survive skin cancer by enabling innovative pathways.

Revenue
$12.2M
Customers
-
Year founded
2012
Funding
-
Team size
97
Location
United Kingdom
Compare Elemental-Machines with ChurnSpotter
4
ChurnSpotter

AI & Machine Learning Operationalization (MLOps) Software

ChurnSpotter helps SaaS and mobile apps vendors reduce their user and revenue churn.Powered by disruptive Machine Learning technology, ChurnSpotter detects your most fragile customers on the fly by crunching your analytics and payment data (Mixpanel, Stripe).Easy to use, ChurnSpotter only requires your analytics / payment API keys to start working.

Revenue
$12.2M
Customers
-
Year founded
2015
Funding
-
Team size
13
Location
France
Compare Elemental-Machines with ChurnSpotter
5
ChurnSpotter

AI & Machine Learning Operationalization (MLOps) Software

ChurnSpotter helps SaaS and mobile apps vendors reduce their user and revenue churn.Powered by disruptive Machine Learning technology, ChurnSpotter detects your most fragile customers on the fly by crunching your analytics and payment data (Mixpanel, Stripe).Easy to use, ChurnSpotter only requires your analytics / payment API keys to start working.

Revenue
$12.2M
Customers
-
Year founded
2015
Funding
-
Team size
13
Location
France
Compare Elemental-Machines with ChurnSpotter
6
ChurnSpotter

AI & Machine Learning Operationalization (MLOps) Software

ChurnSpotter helps SaaS and mobile apps vendors reduce their user and revenue churn.Powered by disruptive Machine Learning technology, ChurnSpotter detects your most fragile customers on the fly by crunching your analytics and payment data (Mixpanel, Stripe).Easy to use, ChurnSpotter only requires your analytics / payment API keys to start working.

Revenue
$12.2M
Customers
-
Year founded
2015
Funding
-
Team size
13
Location
France
Compare Elemental-Machines with ChurnSpotter
7
ChurnSpotter

AI & Machine Learning Operationalization (MLOps) Software

ChurnSpotter helps SaaS and mobile apps vendors reduce their user and revenue churn.Powered by disruptive Machine Learning technology, ChurnSpotter detects your most fragile customers on the fly by crunching your analytics and payment data (Mixpanel, Stripe).Easy to use, ChurnSpotter only requires your analytics / payment API keys to start working.

Revenue
$12.2M
Customers
-
Year founded
2015
Funding
-
Team size
13
Location
France
Compare Elemental-Machines with b.well
8
b.well

AI & Machine Learning Operationalization (MLOps) Software

b.well’s comprehensive platform unifies data, solutions and services in one place — empowering providers, payers, retail pharmacies, and healthcare technology companies to deliver frictionless, personalized healthcare experiences; maximize technology investments; and unlock the power of care ecosystems and generative AI. Our platform is supporting better healthcare experiences for 150M people, powered by over 60K consumer-mediated data connections, 3 integration options and 1 mission: to solve healthcare’s fragmentation problem.

Revenue
$12.2M
Customers
-
Year founded
2015
Funding
-
Team size
111
Location
United States
Compare Elemental-Machines with IDENER.AI
9
IDENER.AI

AI & Machine Learning Operationalization (MLOps) Software

We are using AI to advance science and engineering and create value for all.

Revenue
$12.2M
Customers
-
Year founded
2010
Funding
-
Team size
111
Location
Spain
Compare Elemental-Machines with b.well
10
b.well

AI & Machine Learning Operationalization (MLOps) Software

b.well’s comprehensive platform unifies data, solutions and services in one place — empowering providers, payers, retail pharmacies, and healthcare technology companies to deliver frictionless, personalized healthcare experiences; maximize technology investments; and unlock the power of care ecosystems and generative AI. Our platform is supporting better healthcare experiences for 150M people, powered by over 60K consumer-mediated data connections, 3 integration options and 1 mission: to solve healthcare’s fragmentation problem.

Revenue
$12.2M
Customers
-
Year founded
2015
Funding
-
Team size
111
Location
United States
Compare Elemental-Machines with IDENER.AI
11
IDENER.AI

AI & Machine Learning Operationalization (MLOps) Software

We are using AI to advance science and engineering and create value for all.

Revenue
$12.2M
Customers
-
Year founded
2010
Funding
-
Team size
111
Location
Spain
Compare Elemental-Machines with FactFinder
13
FactFinder

AI & Machine Learning Operationalization (MLOps) Software

FactFinder is the European leader in eCommerce product discovery and search. Using authentic intelligence, the unique combination of artificial and human intelligence, FactFinder understands every shopper’s intent from the first click – increasing conversions and boosting revenues by over 30%. For over two decades, FactFinder has been trusted to support billions of search queries a year, for thousands of B2B and B2C brands including Intersport, White Stuff, OBI, Stihl, and MyTheresa. Every day millions of shoppers find what they are looking for – fast, personalized and with joy. FactFinder is headquartered in Germany, with offices in Berlin, London, Stockholm and Strasbourg. ✏ Learn more at www.fact-finder.com/#LinkedIn

Revenue
$12.1M
Customers
-
Year founded
2001
Funding
-
Team size
110
Location
Germany
Compare Elemental-Machines with FactFinder
16
FactFinder

AI & Machine Learning Operationalization (MLOps) Software

FactFinder is the European leader in eCommerce product discovery and search. Using authentic intelligence, the unique combination of artificial and human intelligence, FactFinder understands every shopper’s intent from the first click – increasing conversions and boosting revenues by over 30%. For over two decades, FactFinder has been trusted to support billions of search queries a year, for thousands of B2B and B2C brands including Intersport, White Stuff, OBI, Stihl, and MyTheresa. Every day millions of shoppers find what they are looking for – fast, personalized and with joy. FactFinder is headquartered in Germany, with offices in Berlin, London, Stockholm and Strasbourg. ✏ Learn more at www.fact-finder.com/#LinkedIn

Revenue
$12.1M
Customers
-
Year founded
2001
Funding
-
Team size
110
Location
Germany
Compare Elemental-Machines with Theta Lake
17
Theta Lake

AI & Machine Learning Operationalization (MLOps) Software

Theta Lake’s multi-award winning product suite provides patented compliance and security for modern collaboration platforms, utilizing nearly 100 frictionless partner integrations that include RingCentral, Webex by Cisco, Microsoft Teams, Slack, Zoom, Movius and more. Theta Lake can capture, compliantly archive, and act as an archive connector for existing archives of record for video, voice, and chat collaboration systems. In addition to comprehensive capture and archiving, Theta Lake uses patented AI to detect and surface regulatory, privacy, and security risks in an AI assisted review workflow across what is shared, shown, spoken, and typed. Theta Lake enables organizations to safely, compliantly, and cost-effectively expand their use of communication platforms. Visit us at ThetaLake.com or Twitter at @thetalake.

Revenue
$12.1M
Customers
-
Year founded
2017
Funding
-
Team size
110
Location
United States
Compare Elemental-Machines with Emerge
18
Emerge

AI & Machine Learning Operationalization (MLOps) Software

Provider of a SaaS based data analytics platform intended to provide predictive insights about banking, retail and insurance businesses. The company's platform solves complex business problem through machine learning and artificial intelligence, enabling their clients to navigate through the corporate data maze and become more profitable.

Revenue
$12.1M
Customers
150K
Year founded
2012
Funding
$18.2K
Team size
10
Location
South Africa
Compare Elemental-Machines with Emerge
19
Emerge

AI & Machine Learning Operationalization (MLOps) Software

Provider of a SaaS based data analytics platform intended to provide predictive insights about banking, retail and insurance businesses. The company's platform solves complex business problem through machine learning and artificial intelligence, enabling their clients to navigate through the corporate data maze and become more profitable.

Revenue
$12.1M
Customers
150K
Year founded
2012
Funding
$18.2K
Team size
10
Location
South Africa
Compare Elemental-Machines with Emerge
20
Emerge

AI & Machine Learning Operationalization (MLOps) Software

Provider of a SaaS based data analytics platform intended to provide predictive insights about banking, retail and insurance businesses. The company's platform solves complex business problem through machine learning and artificial intelligence, enabling their clients to navigate through the corporate data maze and become more profitable.

Revenue
$12.1M
Customers
150K
Year founded
2012
Funding
$18.2K
Team size
10
Location
South Africa
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