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Top Modal Labs Alternatives, Competitors & Similar Software

Founded 2021

Find 20 competitors in the Machine Learning Software. Compare other SaaS such as Aquarium Learning, Tarci and SPOT. These Modal Labs competitors have raised $1.2B and together serve more than 5M customers and employ over 865 team members.

Compare Modal Labs with Tarci
2
Tarci

Machine Learning Software

Increase sales & marketing performance, reduce churn and mitigate risk with Tarci’s AI small business (SMB) intelligence engine that continuously collects and analyzes SMB signals. Tarci proprietary data engine is the world's most comprehensive and dynamic data set about small businesses. Use it for commercial, risk underwriting or training your GenAI models.

Revenue
$6.3M
Customers
-
Year founded
2019
Funding
-
Team size
42
Location
United States
Compare Modal Labs with SPOT
3
SPOT

Machine Learning Software

Provider of a cloud based measurement software designed to make cloud computing more accessible and practical through simplicity and technical resources driven by the community. The company's cloud based measurement software uses artificial intelligence and machine learning to capture and analyze the data of the real world through video to predict and establish more precise marketing strategies, enabling businesses to optimize processes and gain competitive advantage.

Revenue
$6.3M
Customers
-
Year founded
2017
Funding
$260K
Team size
34
Location
Chile
Compare Modal Labs with SPOT
5
SPOT

Machine Learning Software

Provider of a cloud based measurement software designed to make cloud computing more accessible and practical through simplicity and technical resources driven by the community. The company's cloud based measurement software uses artificial intelligence and machine learning to capture and analyze the data of the real world through video to predict and establish more precise marketing strategies, enabling businesses to optimize processes and gain competitive advantage.

Revenue
$6.3M
Customers
-
Year founded
2017
Funding
$260K
Team size
34
Location
Chile
Compare Modal Labs with Tarci
6
Tarci

Machine Learning Software

Increase sales & marketing performance, reduce churn and mitigate risk with Tarci’s AI small business (SMB) intelligence engine that continuously collects and analyzes SMB signals. Tarci proprietary data engine is the world's most comprehensive and dynamic data set about small businesses. Use it for commercial, risk underwriting or training your GenAI models.

Revenue
$6.3M
Customers
-
Year founded
2019
Funding
-
Team size
42
Location
United States
Compare Modal Labs with AnyBiz
7
AnyBiz

Machine Learning Software

Your new AI-driven sales agents - Build the next-generation AI-driven employee that generates new customers for your B2B business. #A new generation of AI-driven sales agents. Smarter. Faster. 24/7 Worker.

Revenue
$6.3M
Customers
-
Year founded
2022
Funding
-
Team size
42
Location
United States
Compare Modal Labs with HACARUS
8
HACARUS

Machine Learning Software

Developer of health care technology designed for medical equipment or research and manufacturing or industrial optimization and defect detection. The company's technology offers SaaS and embedded solutions for these areas, small data and cutting-edge techniques involving sparse modeling to drive its AI technologies as opposed to the saturated big data and deep learning space, enabling users to apply sparse modeling methodology to machine learning.

Revenue
$6.3M
Customers
100
Year founded
2014
Funding
$405.2M
Team size
42
Location
Japan
Compare Modal Labs with HACARUS
9
HACARUS

Machine Learning Software

Developer of health care technology designed for medical equipment or research and manufacturing or industrial optimization and defect detection. The company's technology offers SaaS and embedded solutions for these areas, small data and cutting-edge techniques involving sparse modeling to drive its AI technologies as opposed to the saturated big data and deep learning space, enabling users to apply sparse modeling methodology to machine learning.

Revenue
$6.3M
Customers
100
Year founded
2014
Funding
$405.2M
Team size
42
Location
Japan
Compare Modal Labs with Hypernative
10
Hypernative

Machine Learning Software

Hypernative is a cutting-edge startup focused on providing real-time security and monitoring solutions for the Web3 ecosystem, specifically delivering Web3 security and threat detection using AI to protect blockchain protocols, assets, and decentralized apps.

Revenue
$6.3M
Customers
-
Year founded
2022
Funding
-
Team size
71
Location
Israel
Compare Modal Labs with HACARUS
11
HACARUS

Machine Learning Software

Developer of health care technology designed for medical equipment or research and manufacturing or industrial optimization and defect detection. The company's technology offers SaaS and embedded solutions for these areas, small data and cutting-edge techniques involving sparse modeling to drive its AI technologies as opposed to the saturated big data and deep learning space, enabling users to apply sparse modeling methodology to machine learning.

Revenue
$6.3M
Customers
100
Year founded
2014
Funding
$405.2M
Team size
42
Location
Japan
Compare Modal Labs with Hypernative
12
Hypernative

Machine Learning Software

Hypernative is a cutting-edge startup focused on providing real-time security and monitoring solutions for the Web3 ecosystem, specifically delivering Web3 security and threat detection using AI to protect blockchain protocols, assets, and decentralized apps.

Revenue
$6.3M
Customers
-
Year founded
2022
Funding
-
Team size
71
Location
Israel
Compare Modal Labs with IntelexVision
13
IntelexVision

Machine Learning Software

IntelexVision was founded in 2017 by a team of AI, software and video surveillance experts determined to address the growing limitations of traditional video analytics. It provides real-time behavioral and threat analysis solutions using artificial intelligence, primarily serving sectors such as airports, banking, healthcare, manufacturing, and retail.

Revenue
$6.3M
Customers
-
Year founded
2017
Funding
-
Team size
55
Location
United Kingdom
Compare Modal Labs with Tradeteq
14
Tradeteq

Machine Learning Software

Developer of a trade finance distribution platform designed to offer a collaborative network for trade finance investors and originators. The company's platform provides AI-powered credit analytics, reporting, investment and operational services, enabling funders and originators to connect, interact and transact and transforms trade finance assets into transparent and scalable investments.

Revenue
$6.3M
Customers
-
Year founded
2016
Funding
-
Team size
49
Location
United Kingdom
Compare Modal Labs with Tradeteq
15
Tradeteq

Machine Learning Software

Developer of a trade finance distribution platform designed to offer a collaborative network for trade finance investors and originators. The company's platform provides AI-powered credit analytics, reporting, investment and operational services, enabling funders and originators to connect, interact and transact and transforms trade finance assets into transparent and scalable investments.

Revenue
$6.3M
Customers
-
Year founded
2016
Funding
-
Team size
49
Location
United Kingdom
Compare Modal Labs with Tradeteq
16
Tradeteq

Machine Learning Software

Developer of a trade finance distribution platform designed to offer a collaborative network for trade finance investors and originators. The company's platform provides AI-powered credit analytics, reporting, investment and operational services, enabling funders and originators to connect, interact and transact and transforms trade finance assets into transparent and scalable investments.

Revenue
$6.3M
Customers
-
Year founded
2016
Funding
-
Team size
49
Location
United Kingdom
Compare Modal Labs with Cogitativo
20
Cogitativo

Machine Learning Software

Developer of data science platform designed to improve healthcare operations by helping clients make sense of their complex data to answer their intractable and challenging questions. The company's platform uses machine learning, data curation and technology for healthcare organizations to extract value from public and proprietary data sources needed to improve the U.S. health system, enabling clients to reduce their levels of epistemic opacity while improving efficiency and lowering the cost of healthcare.

Revenue
$6.3M
Customers
5M
Year founded
2014
Funding
$23.5M
Team size
37
Location
United States
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