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Top Samp Alternatives, Competitors & Similar Software

Founded 2019

Find 20 competitors in the AI & Machine Learning Operationalization (MLOps) Software. Compare other SaaS such as Fermata, getkoala.com and Aureus Analytics. These Samp competitors have raised $51.8M and together serve more than - customers and employ over 950 team members.

Compare Samp with Fermata
1
Fermata

AI & Machine Learning Operationalization (MLOps) Software

Fermata is a data science company focusing on computer vision solutions for agriculture. It offers AI-powered decision support systems for precise plant monitoring in greenhouses and indoor farms, utilizing computer vision analysis.

Revenue
$5.8M
Customers
-
Year founded
2020
Funding
-
Team size
38
Location
Israel
Compare Samp with getkoala.com
2
getkoala.com

AI & Machine Learning Operationalization (MLOps) Software

Koala uses agentic AI to help reps prioritize the most meaningful signals, qualify accounts, and maintain engagement from contact to close.

Revenue
$5.8M
Customers
-
Year founded
2022
Funding
-
Team size
34
Location
United States
Compare Samp with Aureus Analytics
3
Aureus Analytics

AI & Machine Learning Operationalization (MLOps) Software

Developer of a big data analytics platform designed to solve specific business problems. The company's big data analytics platform utilizes predictive analytics and machine learning technologies to combine industry practices with relevant data and analytical models, enabling companies to rapidly deploy big data analytics services across the organization.

Revenue
$5.8M
Customers
-
Year founded
2013
Funding
$5.2M
Team size
40
Location
United States
Compare Samp with CynLr
4
CynLr

AI & Machine Learning Operationalization (MLOps) Software

CynLr is a technology company that develops a visual object intelligence platform for industrial robotic arms, enabling them to see, understand, and manipulate objects in unstructured environments.

Revenue
$5.8M
Customers
-
Year founded
2019
Funding
-
Team size
56
Location
India
Compare Samp with CynLr
5
CynLr

AI & Machine Learning Operationalization (MLOps) Software

CynLr is a technology company that develops a visual object intelligence platform for industrial robotic arms, enabling them to see, understand, and manipulate objects in unstructured environments.

Revenue
$5.8M
Customers
-
Year founded
2019
Funding
-
Team size
56
Location
India
Compare Samp with Wokelo AI
6
Wokelo AI

AI & Machine Learning Operationalization (MLOps) Software

Wokelo is a Gen-AI powered investment research platform designed to automate complex research workflows like due diligence, sector research, and portfolio monitoring.

Revenue
$5.8M
Customers
-
Year founded
2022
Funding
-
Team size
42
Location
United States
Compare Samp with Aureus Analytics
7
Aureus Analytics

AI & Machine Learning Operationalization (MLOps) Software

Developer of a big data analytics platform designed to solve specific business problems. The company's big data analytics platform utilizes predictive analytics and machine learning technologies to combine industry practices with relevant data and analytical models, enabling companies to rapidly deploy big data analytics services across the organization.

Revenue
$5.8M
Customers
-
Year founded
2013
Funding
$5.2M
Team size
40
Location
United States
Compare Samp with Fermata
8
Fermata

AI & Machine Learning Operationalization (MLOps) Software

Fermata is a data science company focusing on computer vision solutions for agriculture. It offers AI-powered decision support systems for precise plant monitoring in greenhouses and indoor farms, utilizing computer vision analysis.

Revenue
$5.8M
Customers
-
Year founded
2020
Funding
-
Team size
38
Location
Israel
Compare Samp with Gpredictive
9
Gpredictive

AI & Machine Learning Operationalization (MLOps) Software

Every marketer can optimize all the touchpoints in their customer journey through our DIY A.I.

Revenue
$5.8M
Customers
-
Year founded
2009
Funding
-
Team size
40
Location
Germany
Compare Samp with Gpredictive
10
Gpredictive

AI & Machine Learning Operationalization (MLOps) Software

Every marketer can optimize all the touchpoints in their customer journey through our DIY A.I.

Revenue
$5.8M
Customers
-
Year founded
2009
Funding
-
Team size
40
Location
Germany
Compare Samp with Gpredictive
11
Gpredictive

AI & Machine Learning Operationalization (MLOps) Software

Every marketer can optimize all the touchpoints in their customer journey through our DIY A.I.

Revenue
$5.8M
Customers
-
Year founded
2009
Funding
-
Team size
40
Location
Germany
Compare Samp with Hanson Robotics Limited
12
Hanson Robotics Limited

AI & Machine Learning Operationalization (MLOps) Software

Developer of artificial intelligence software. The company develops artificial intelligence software that helps to transform documents and databases into meaningful piece of information.

Revenue
$5.8M
Customers
-
Year founded
2013
Funding
$21.7M
Team size
58
Location
Hong Kong
Compare Samp with Zhiziyun
13
Zhiziyun

AI & Machine Learning Operationalization (MLOps) Software

Zhiziyun is a big data technology service provider that provides efficient SaaS platforms and privatized customized services.

Revenue
$5.8M
Customers
-
Year founded
2012
Funding
$2.2M
Team size
36
Location
China
Compare Samp with Zhiziyun
14
Zhiziyun

AI & Machine Learning Operationalization (MLOps) Software

Zhiziyun is a big data technology service provider that provides efficient SaaS platforms and privatized customized services.

Revenue
$5.8M
Customers
-
Year founded
2012
Funding
$2.2M
Team size
36
Location
China
Compare Samp with Fama
15
Fama

AI & Machine Learning Operationalization (MLOps) Software

Developer of a screening platform designed to turn online identity data into actionable insight. The company's platform automates the analysis of an individual's public web presence using machine learning and natural language processing, enabling businesses to hire good candidates as well as limit the brand risk associated with problematic workplace behaviors like sexual harassment, bullying, and insider threats.

Revenue
$5.8M
Customers
-
Year founded
2015
Funding
$7.7M
Team size
72
Location
United States
Compare Samp with Fama
16
Fama

AI & Machine Learning Operationalization (MLOps) Software

Developer of a screening platform designed to turn online identity data into actionable insight. The company's platform automates the analysis of an individual's public web presence using machine learning and natural language processing, enabling businesses to hire good candidates as well as limit the brand risk associated with problematic workplace behaviors like sexual harassment, bullying, and insider threats.

Revenue
$5.8M
Customers
-
Year founded
2015
Funding
$7.7M
Team size
72
Location
United States
Compare Samp with Melingo AI
17
Melingo AI

AI & Machine Learning Operationalization (MLOps) Software

A leading software company for exceptional AI solutions!

Revenue
$5.8M
Customers
-
Year founded
-
Funding
-
Team size
53
Location
Israel
Compare Samp with Melingo AI
18
Melingo AI

AI & Machine Learning Operationalization (MLOps) Software

A leading software company for exceptional AI solutions!

Revenue
$5.8M
Customers
-
Year founded
-
Funding
-
Team size
53
Location
Israel
Compare Samp with IPRally
19
IPRally

AI & Machine Learning Operationalization (MLOps) Software

Increasing the productivity of inventors and patent people with the first patent search that thinks like a patent professional. Using the latest machine learning and natural language processing techniques to harness the vast amounts of human patent intelligence stored in public databases to serve the IPR field.

Revenue
$5.8M
Customers
-
Year founded
2018
Funding
-
Team size
53
Location
Finland
Compare Samp with LifeStreet
20
LifeStreet

AI & Machine Learning Operationalization (MLOps) Software

LifeStreet makes in-app advertising work for the world’s biggest performance marketers. Nero, our AI-powered media buying platform, combined with our creative solutions and performance expertise, optimizes towards any desired outcome to maximize ROAS at scale. LifeStreet’s proprietary deep learning models drive more effective bidding, enabling higher user quality, and 50% more ROI than traditional machine learning models. By adjusting bids based on each impression’s unique value to the advertiser, LifeStreet is able to achieve greater cost efficiency. The company was founded in 2009 with the vision of becoming the most intelligent, transparent, and accessible mobile marketing platform and is headquartered in San Francisco, California.

Revenue
$5.8M
Customers
-
Year founded
2009
Funding
-
Team size
53
Location
United States
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