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Top Jianshen Deyu Alternatives, Competitors & Similar Software

Founded 2017

Find 20 competitors in the AI & Machine Learning Operationalization (MLOps) Software. Compare other SaaS such as Pronto Networks, MediaMath and MediaMath. These Jianshen Deyu competitors have raised $102.2M and together serve more than - customers and employ over 2K team members.

Compare Jianshen Deyu with Pronto Networks
1
Pronto Networks

AI & Machine Learning Operationalization (MLOps) Software

Provider of Operations Support System (OSS) software. The company's Operations Support System (OSS) software is used in various vertical segments, including wireless mesh networks, enterprise campuses, hotels, airports, conference centers and multi-dwelling units, enabling network operators to provide, manage and deploy large scale public WLAN networks.

Revenue
$9.8M
Customers
-
Year founded
2001
Funding
$24.1M
Team size
79
Location
United States
Compare Jianshen Deyu with MediaMath
2
MediaMath

AI & Machine Learning Operationalization (MLOps) Software

We are building a new accountable & addressable supply chain for the industry. Brands and their partners use our technology and services to achieve the performance they deserve with less effort. We created the first software for real-time media buying in 2007 and today work with over one-third of the Fortune 500 and more than 3,500 brands and their agency partners to grow and deepen direct customer relationships. Our clients can access the purest supply to reach real humans at the scale they need across channels like mobile, CTV and display and can use a combination of advanced AI and human expertise to drive improved results over time.

Revenue
$9.9M
Customers
-
Year founded
2007
Funding
-
Team size
90
Location
United States
Compare Jianshen Deyu with MediaMath
3
MediaMath

AI & Machine Learning Operationalization (MLOps) Software

We are building a new accountable & addressable supply chain for the industry. Brands and their partners use our technology and services to achieve the performance they deserve with less effort. We created the first software for real-time media buying in 2007 and today work with over one-third of the Fortune 500 and more than 3,500 brands and their agency partners to grow and deepen direct customer relationships. Our clients can access the purest supply to reach real humans at the scale they need across channels like mobile, CTV and display and can use a combination of advanced AI and human expertise to drive improved results over time.

Revenue
$9.9M
Customers
-
Year founded
2007
Funding
-
Team size
90
Location
United States
Compare Jianshen Deyu with MediaMath
4
MediaMath

AI & Machine Learning Operationalization (MLOps) Software

We are building a new accountable & addressable supply chain for the industry. Brands and their partners use our technology and services to achieve the performance they deserve with less effort. We created the first software for real-time media buying in 2007 and today work with over one-third of the Fortune 500 and more than 3,500 brands and their agency partners to grow and deepen direct customer relationships. Our clients can access the purest supply to reach real humans at the scale they need across channels like mobile, CTV and display and can use a combination of advanced AI and human expertise to drive improved results over time.

Revenue
$9.9M
Customers
-
Year founded
2007
Funding
-
Team size
90
Location
United States
Compare Jianshen Deyu with Entera
5
Entera

AI & Machine Learning Operationalization (MLOps) Software

Entera is the leading 3-sided marketplace focused on connecting Enterprise and Mid-Market investors, sellers and services providers in the single-family residential market. Powered by modern data science and Artificial Intelligence (AI), Entera’s marketplace offers the most seamless solution for investors to access, evaluate, transact and operate their single-family real estate investments. Backed by leading venture capital investors Goldman Sachs Growth, Bullpen Capital, and Craft Ventures, Entera is focused on delivering software innovation and offline service solutions that enable its’ investor clients to scale their operations quickly, make more market data-driven decisions confidently, and maximize financial returns. Since its inception in 2018, Entera has transacted on more than 15,000 single family homes valued at $5 Billion across 29 US markets. The company is headquartered in New York City, New York and Houston, Texas. Learn more at www.entera.ai.

Revenue
$9.9M
Customers
-
Year founded
2018
Funding
-
Team size
90
Location
United States
Compare Jianshen Deyu with Entera
6
Entera

AI & Machine Learning Operationalization (MLOps) Software

Entera is the leading 3-sided marketplace focused on connecting Enterprise and Mid-Market investors, sellers and services providers in the single-family residential market. Powered by modern data science and Artificial Intelligence (AI), Entera’s marketplace offers the most seamless solution for investors to access, evaluate, transact and operate their single-family real estate investments. Backed by leading venture capital investors Goldman Sachs Growth, Bullpen Capital, and Craft Ventures, Entera is focused on delivering software innovation and offline service solutions that enable its’ investor clients to scale their operations quickly, make more market data-driven decisions confidently, and maximize financial returns. Since its inception in 2018, Entera has transacted on more than 15,000 single family homes valued at $5 Billion across 29 US markets. The company is headquartered in New York City, New York and Houston, Texas. Learn more at www.entera.ai.

Revenue
$9.9M
Customers
-
Year founded
2018
Funding
-
Team size
90
Location
United States
Compare Jianshen Deyu with Entera
7
Entera

AI & Machine Learning Operationalization (MLOps) Software

Entera is the leading 3-sided marketplace focused on connecting Enterprise and Mid-Market investors, sellers and services providers in the single-family residential market. Powered by modern data science and Artificial Intelligence (AI), Entera’s marketplace offers the most seamless solution for investors to access, evaluate, transact and operate their single-family real estate investments. Backed by leading venture capital investors Goldman Sachs Growth, Bullpen Capital, and Craft Ventures, Entera is focused on delivering software innovation and offline service solutions that enable its’ investor clients to scale their operations quickly, make more market data-driven decisions confidently, and maximize financial returns. Since its inception in 2018, Entera has transacted on more than 15,000 single family homes valued at $5 Billion across 29 US markets. The company is headquartered in New York City, New York and Houston, Texas. Learn more at www.entera.ai.

Revenue
$9.9M
Customers
-
Year founded
2018
Funding
-
Team size
90
Location
United States
Compare Jianshen Deyu with Revuze
8
Revuze

AI & Machine Learning Operationalization (MLOps) Software

Revuze is a leader in Generative AI analysis for online reviews, revolutionizing the consumer insights landscape. With years of experience leveraging LLM training, Revuze unlocks the full potential of insights from verified buyers across multiple e-commerce sources. Our cutting-edge solutions empower businesses to seamlessly integrate review analytics into their marketing and product processes, enabling strategic decision-making. Through high-quality data, insightful predictions, and scalable capabilities across sources and regions, we offer real-time analysis with intuitive features, dynamic dashboards, and comprehensive reports. From data collection to final visualization, Revuze’s end-to-end solutions ensure you can navigate the rapidly changing landscape of your categories and confidently make daily data-driven decisions. Discover the power of Revuze, the GPT of the consumer insights industry, and gain a deeper understanding of your customers and competitors.

Revenue
$9.9M
Customers
-
Year founded
2013
Funding
-
Team size
90
Location
United States
Compare Jianshen Deyu with indigitall
9
indigitall

AI & Machine Learning Operationalization (MLOps) Software

indigitall, founded in 2013, develops and manages a Mobile Engagement Automation (MEA) marketing platform that allows its clients and users to efficiently manage all of their digital marketing and communication campaigns from a single dashboard while constantly improving data segmentation and conversion rates through Artificial Intelligence. Our Cloud and SaaS platform is focused on customer loyalty, engagement and retention through the most advanced digital marketing tools that allow personalized communication and messages to be segmented and sent at the most precise times and through the best channel. Indigitall, fundada en 2013, es una empresa que desarrolla una plataforma de marketing MEA (Mobile Engagement Automation) que permite a los Clientes gestionar eficazmente sus campañas de marketing digital y de comunicación para mejorar la fidelización de sus usuarios y audiencia y las conversiones en cuanto a su contenidos, servicios y productos. La solución de la empresa es una plataforma SaaS enfocada en la fidelización y retención de los clientes a través de las herramientas digitales de marketing más avanzadas que permite una comunicación personalizada, segmentada en el momento más preciso y de la manera más adecuada utilizando funcionalidades de Inteligencia Artificial.

Revenue
$9.9M
Customers
-
Year founded
2013
Funding
-
Team size
90
Location
Spain
Compare Jianshen Deyu with neptune.ai
10
neptune.ai

AI & Machine Learning Operationalization (MLOps) Software

Neptune is the most scalable experiment tracker for teams that train foundation models. Monitor and visualize months-long model training with multiple steps and branches. Track massive amounts of data, but filter and search through it quickly. Visualize and compare thousands of metrics in seconds. And deploy Neptune on your infra from day one. Get to the next big AI breakthrough faster, using fewer resources on the way.

Revenue
$9.9M
Customers
-
Year founded
2017
Funding
-
Team size
90
Location
United States
Compare Jianshen Deyu with SuperAGI
11
SuperAGI

AI & Machine Learning Operationalization (MLOps) Software

SuperAGI is an open-source autonomous AI agent framework designed for developers to build, manage, and run autonomous agents efficiently. It supports concurrent agent operations, integrates with various tools, and provides a graphical user interface for easy interaction. The framework is scalable, allowing for complex AI operations, and includes features like performance telemetry, agent memory storage, and optimized token usage to enhance functionality and cost management.

Revenue
$9.9M
Customers
-
Year founded
2023
Funding
-
Team size
90
Location
United States
Compare Jianshen Deyu with indigitall
12
indigitall

AI & Machine Learning Operationalization (MLOps) Software

indigitall, founded in 2013, develops and manages a Mobile Engagement Automation (MEA) marketing platform that allows its clients and users to efficiently manage all of their digital marketing and communication campaigns from a single dashboard while constantly improving data segmentation and conversion rates through Artificial Intelligence. Our Cloud and SaaS platform is focused on customer loyalty, engagement and retention through the most advanced digital marketing tools that allow personalized communication and messages to be segmented and sent at the most precise times and through the best channel. Indigitall, fundada en 2013, es una empresa que desarrolla una plataforma de marketing MEA (Mobile Engagement Automation) que permite a los Clientes gestionar eficazmente sus campañas de marketing digital y de comunicación para mejorar la fidelización de sus usuarios y audiencia y las conversiones en cuanto a su contenidos, servicios y productos. La solución de la empresa es una plataforma SaaS enfocada en la fidelización y retención de los clientes a través de las herramientas digitales de marketing más avanzadas que permite una comunicación personalizada, segmentada en el momento más preciso y de la manera más adecuada utilizando funcionalidades de Inteligencia Artificial.

Revenue
$9.9M
Customers
-
Year founded
2013
Funding
-
Team size
90
Location
Spain
Compare Jianshen Deyu with SuperAGI
13
SuperAGI

AI & Machine Learning Operationalization (MLOps) Software

SuperAGI is an open-source autonomous AI agent framework designed for developers to build, manage, and run autonomous agents efficiently. It supports concurrent agent operations, integrates with various tools, and provides a graphical user interface for easy interaction. The framework is scalable, allowing for complex AI operations, and includes features like performance telemetry, agent memory storage, and optimized token usage to enhance functionality and cost management.

Revenue
$9.9M
Customers
-
Year founded
2023
Funding
-
Team size
90
Location
United States
Compare Jianshen Deyu with indigitall
14
indigitall

AI & Machine Learning Operationalization (MLOps) Software

indigitall, founded in 2013, develops and manages a Mobile Engagement Automation (MEA) marketing platform that allows its clients and users to efficiently manage all of their digital marketing and communication campaigns from a single dashboard while constantly improving data segmentation and conversion rates through Artificial Intelligence. Our Cloud and SaaS platform is focused on customer loyalty, engagement and retention through the most advanced digital marketing tools that allow personalized communication and messages to be segmented and sent at the most precise times and through the best channel. Indigitall, fundada en 2013, es una empresa que desarrolla una plataforma de marketing MEA (Mobile Engagement Automation) que permite a los Clientes gestionar eficazmente sus campañas de marketing digital y de comunicación para mejorar la fidelización de sus usuarios y audiencia y las conversiones en cuanto a su contenidos, servicios y productos. La solución de la empresa es una plataforma SaaS enfocada en la fidelización y retención de los clientes a través de las herramientas digitales de marketing más avanzadas que permite una comunicación personalizada, segmentada en el momento más preciso y de la manera más adecuada utilizando funcionalidades de Inteligencia Artificial.

Revenue
$9.9M
Customers
-
Year founded
2013
Funding
-
Team size
90
Location
Spain
Compare Jianshen Deyu with neptune.ai
15
neptune.ai

AI & Machine Learning Operationalization (MLOps) Software

Neptune is the most scalable experiment tracker for teams that train foundation models. Monitor and visualize months-long model training with multiple steps and branches. Track massive amounts of data, but filter and search through it quickly. Visualize and compare thousands of metrics in seconds. And deploy Neptune on your infra from day one. Get to the next big AI breakthrough faster, using fewer resources on the way.

Revenue
$9.9M
Customers
-
Year founded
2017
Funding
-
Team size
90
Location
United States
Compare Jianshen Deyu with neptune.ai
16
neptune.ai

AI & Machine Learning Operationalization (MLOps) Software

Neptune is the most scalable experiment tracker for teams that train foundation models. Monitor and visualize months-long model training with multiple steps and branches. Track massive amounts of data, but filter and search through it quickly. Visualize and compare thousands of metrics in seconds. And deploy Neptune on your infra from day one. Get to the next big AI breakthrough faster, using fewer resources on the way.

Revenue
$9.9M
Customers
-
Year founded
2017
Funding
-
Team size
90
Location
United States
Compare Jianshen Deyu with Slingshot Aerospace
17
Slingshot Aerospace

AI & Machine Learning Operationalization (MLOps) Software

Developer of a cloud-based data platform designed to empower businesses with data-driven machine intelligence. The company's platform offers timely, enriched data through a streaming geospatial intelligence engine that provides ready access to enriched and accurate data leads when crop are failing, energy of water usage is excessive or when economic and other intel is needed, enabling clients to take timely strategic decisions while reducing risk and increasing profitability.

Revenue
$9.8M
Customers
-
Year founded
2016
Funding
$19.5M
Team size
147
Location
United States
Compare Jianshen Deyu with Slingshot Aerospace
18
Slingshot Aerospace

AI & Machine Learning Operationalization (MLOps) Software

Developer of a cloud-based data platform designed to empower businesses with data-driven machine intelligence. The company's platform offers timely, enriched data through a streaming geospatial intelligence engine that provides ready access to enriched and accurate data leads when crop are failing, energy of water usage is excessive or when economic and other intel is needed, enabling clients to take timely strategic decisions while reducing risk and increasing profitability.

Revenue
$9.8M
Customers
-
Year founded
2016
Funding
$19.5M
Team size
147
Location
United States
Compare Jianshen Deyu with Slingshot Aerospace
19
Slingshot Aerospace

AI & Machine Learning Operationalization (MLOps) Software

Developer of a cloud-based data platform designed to empower businesses with data-driven machine intelligence. The company's platform offers timely, enriched data through a streaming geospatial intelligence engine that provides ready access to enriched and accurate data leads when crop are failing, energy of water usage is excessive or when economic and other intel is needed, enabling clients to take timely strategic decisions while reducing risk and increasing profitability.

Revenue
$9.8M
Customers
-
Year founded
2016
Funding
$19.5M
Team size
147
Location
United States
Compare Jianshen Deyu with Slingshot Aerospace
20
Slingshot Aerospace

AI & Machine Learning Operationalization (MLOps) Software

Developer of a cloud-based data platform designed to empower businesses with data-driven machine intelligence. The company's platform offers timely, enriched data through a streaming geospatial intelligence engine that provides ready access to enriched and accurate data leads when crop are failing, energy of water usage is excessive or when economic and other intel is needed, enabling clients to take timely strategic decisions while reducing risk and increasing profitability.

Revenue
$9.8M
Customers
-
Year founded
2016
Funding
$19.5M
Team size
147
Location
United States
Top Jianshen Deyu Alternatives, Competitors & Similar Software | GetLatka