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Top SelectAM Alternatives, Competitors & Similar Software

Find 20 competitors in the Data Science and Machine Learning Platforms. Compare other SaaS such as HawkSearch, Innerxus and Vulners – Vulnerability Intelligence. These SelectAM competitors have raised $15.1M and together serve more than - customers and employ over 120 team members.

Compare SelectAM with HawkSearch
1HawkSearch logo
HawkSearch

Data Science and Machine Learning Platforms

HawkSearch is an intelligent search and recommendations platform that powers success for any size business across all industries. Our goal is to ensure brands have innovative tools to deliver accurate, relevant and customizable search experiences enabling users to find the relevant results for their needs in context, no matter the device, platform, or language. Having completed over 400+ implementations, HawkSearch is utilized for delivering engaging and personalized search experiences through our innovative features, which enable marketers, merchandisers and developers to accomplish their goals.

Revenue
$660K
Customers
-
Year founded
2012
Funding
-
Team size
6
Location
United States
Compare SelectAM with Innerxus
2Innerxus logo
Innerxus

Data Science and Machine Learning Platforms

Sivium is the world's first tool that integrates the best job portals and allows its users to apply automatically, even using artificial intelligence, maximizing their reach in the job search. 💻 📈

Revenue
$660K
Customers
-
Year founded
-
Funding
-
Team size
6
Location
Peru
Compare SelectAM with Vulners – Vulnerability Intelligence
3Vulners – Vulnerability Intelligence logo
Vulners – Vulnerability Intelligence

Data Science and Machine Learning Platforms

Vulners is a trusted source for comprehensive, continuously updated vulnerability data. We take fragmented information and transform it into consolidated vulnerability and threat intelligence, designed for both human and machine consumption. Enterprises can rely on Vulners to enhance their security posture, providing a robust defense for their infrastructure. Cloud platforms, security service providers, and application developers utilize Vulners to generate additional revenue, using our data feed to power value-added features. Established in 2015 by a dedicated team of information security professionals, Vulners was created to meet specific needs in vulnerability management. Our commitment to continuous improvement and evolution has seen us add new features and data sources regularly. Today, Vulners links over 200 varied data sources, presenting them in a normalized, machine-readable format. All entries are interconnected, ensuring each vulnerability context provides the necessary information - from the point of discovery to the remediation process, inclusive of exploit data. Our proprietary AI algorithms dynamically rank vulnerabilities, taking into account real-time data, CVSS, EPSS scores, and insights from cross-referenced data sources.

Revenue
$660K
Customers
-
Year founded
2015
Funding
-
Team size
6
Location
United States
Compare SelectAM with Vulners – Vulnerability Intelligence
4Vulners – Vulnerability Intelligence logo
Vulners – Vulnerability Intelligence

Data Science and Machine Learning Platforms

Vulners is a trusted source for comprehensive, continuously updated vulnerability data. We take fragmented information and transform it into consolidated vulnerability and threat intelligence, designed for both human and machine consumption. Enterprises can rely on Vulners to enhance their security posture, providing a robust defense for their infrastructure. Cloud platforms, security service providers, and application developers utilize Vulners to generate additional revenue, using our data feed to power value-added features. Established in 2015 by a dedicated team of information security professionals, Vulners was created to meet specific needs in vulnerability management. Our commitment to continuous improvement and evolution has seen us add new features and data sources regularly. Today, Vulners links over 200 varied data sources, presenting them in a normalized, machine-readable format. All entries are interconnected, ensuring each vulnerability context provides the necessary information - from the point of discovery to the remediation process, inclusive of exploit data. Our proprietary AI algorithms dynamically rank vulnerabilities, taking into account real-time data, CVSS, EPSS scores, and insights from cross-referenced data sources.

Revenue
$660K
Customers
-
Year founded
2015
Funding
-
Team size
6
Location
United States
Compare SelectAM with Sagittal.ai
5Sagittal.ai logo
Sagittal.ai

Data Science and Machine Learning Platforms

The enterprise AI revolution has produced expensive disappointments: thousands spent on tools that optimise efficiency while ignoring the true killers of productivity—handoffs and bottlenecks between development stages. Current AI solutions turn developers into secretaries while delivering zero measurable improvement...

Revenue
$660K
Customers
-
Year founded
2023
Funding
$2.2M
Team size
6
Location
United Kingdom
Compare SelectAM with PUSHAS
6PUSHAS logo
PUSHAS

Data Science and Machine Learning Platforms

PUSHAS provides seamless infrastructure 'picks & shovels' that enables reselling of hype alternate assets at scale. We make reselling faster and easier than ever, through an end-to-end platform which includes bulk inventory management, fulfillment, instant liquidity (think Opendoor for Sneakers), seller tools, authentication, and channel management. We are a fast-growing and extremely ambitious young team based in Sydney & Los Angeles. Join us as we pioneer hype reselling at scale. PUSHAS is backed by premier VCs such as TEN13, CapitalX, and Plug and Play Tech Center as well as angels such as Rayn Ong (Archangel VC), Justin Kan (Founder of Twitch), Ed McManus (CEO Aus of Deliveroo) and Tim Fung (Founder of Airtasker). Check us out on Instagram, Facebook & Twitter @pushasofficial

Revenue
$660K
Customers
-
Year founded
2017
Funding
$890.1K
Team size
6
Location
Australia
Compare SelectAM with InFLOWS AI
8InFLOWS AI logo
InFLOWS AI

Data Science and Machine Learning Platforms

Meet KAI CoChemist, the AI copilot to expedite better, safer and more sustainable consumer product development.

Revenue
$660K
Customers
-
Year founded
2021
Funding
$200K
Team size
6
Location
United States
Compare SelectAM with RYVER.AI
10RYVER.AI logo
RYVER.AI

Data Science and Machine Learning Platforms

Fueling AI in healthcare with diverse synthetic data.

Revenue
$660K
Customers
-
Year founded
2022
Funding
$1.4M
Team size
6
Location
Germany
Compare SelectAM with Zenyt
11Zenyt logo
Zenyt

Data Science and Machine Learning Platforms

Zenyt.ai is an AI-powered platform that optimizes e-commerce experiences by simulating user behaviors to identify and resolve friction points, from broken elements to suboptimal flows. With a focus on clarity, simplicity, and impact, Zenyt helps brands achieve exceptional results and stand out in their industries.

Revenue
$660K
Customers
-
Year founded
2023
Funding
$1.6M
Team size
6
Location
United States
Compare SelectAM with Notey Inc
12Notey Inc logo
Notey Inc

Data Science and Machine Learning Platforms

90% of people who try to learn an instrument don’t last more than a month. Notey's World is solving this issue by building a mobile music education game that users can play using any instrument lying around the house. This is done through utilization of an ML audio engine that translates pitch into game mechanics enabling gameplay through music practice. Currently there is an iOS and iPad app that has 3D worlds and educational overlays on a guitar mockup, to be continued with development into an AR experience highlighting where to play and how to play the guitar. This will also be extended into gameplay for other instruments as well, embedding free curricula to be used in-game by users' own contributions.

Revenue
$660K
Customers
-
Year founded
2021
Funding
$1.2M
Team size
6
Location
United States
Compare SelectAM with Sage SEO
13Sage SEO logo
Sage SEO

Data Science and Machine Learning Platforms

Sage SEO is a new startup that provides a single SEO software-as-a-service (SaaS) solution for small businesses and startups. We’ve created a new platform, built from the ground up that's an affordable and high-performing content marketing solution that gets your website content on the first page of Google. Coupled with the latest innovations in artificial intelligence, machine learning, and generative AI, our content marketing software outperforms everything else on the market for small business owners and startups. Our approach delivers a holistic SEO solution that integrates 3rd party data from places like Google Analytics, Google Search Console, Twitter Trends, Google Ads, SEMRush, Ahrefs, and keyword performance sources, and couples it with extremely easy-to-use workflows and business processes.

Revenue
$660K
Customers
-
Year founded
2020
Funding
$320K
Team size
6
Location
United States
Compare SelectAM with PUSHAS
14PUSHAS logo
PUSHAS

Data Science and Machine Learning Platforms

PUSHAS provides seamless infrastructure 'picks & shovels' that enables reselling of hype alternate assets at scale. We make reselling faster and easier than ever, through an end-to-end platform which includes bulk inventory management, fulfillment, instant liquidity (think Opendoor for Sneakers), seller tools, authentication, and channel management. We are a fast-growing and extremely ambitious young team based in Sydney & Los Angeles. Join us as we pioneer hype reselling at scale. PUSHAS is backed by premier VCs such as TEN13, CapitalX, and Plug and Play Tech Center as well as angels such as Rayn Ong (Archangel VC), Justin Kan (Founder of Twitch), Ed McManus (CEO Aus of Deliveroo) and Tim Fung (Founder of Airtasker). Check us out on Instagram, Facebook & Twitter @pushasofficial

Revenue
$660K
Customers
-
Year founded
2017
Funding
$890.1K
Team size
6
Location
Australia
Compare SelectAM with Zenyt
15Zenyt logo
Zenyt

Data Science and Machine Learning Platforms

Zenyt.ai is an AI-powered platform that optimizes e-commerce experiences by simulating user behaviors to identify and resolve friction points, from broken elements to suboptimal flows. With a focus on clarity, simplicity, and impact, Zenyt helps brands achieve exceptional results and stand out in their industries.

Revenue
$660K
Customers
-
Year founded
2023
Funding
$1.6M
Team size
6
Location
United States
Compare SelectAM with Sagittal.ai
16Sagittal.ai logo
Sagittal.ai

Data Science and Machine Learning Platforms

The enterprise AI revolution has produced expensive disappointments: thousands spent on tools that optimise efficiency while ignoring the true killers of productivity—handoffs and bottlenecks between development stages. Current AI solutions turn developers into secretaries while delivering zero measurable improvement...

Revenue
$660K
Customers
-
Year founded
2023
Funding
$2.2M
Team size
6
Location
United Kingdom
Compare SelectAM with Obside AI
17Obside AI logo
Obside AI

Data Science and Machine Learning Platforms

Turn your ideas into financial market actions • Specialties: AI

Revenue
$660K
Customers
-
Year founded
2018
Funding
$100K
Team size
6
Location
France
Compare SelectAM with Obside AI
18Obside AI logo
Obside AI

Data Science and Machine Learning Platforms

Turn your ideas into financial market actions • Specialties: AI

Revenue
$660K
Customers
-
Year founded
2018
Funding
$100K
Team size
6
Location
France
Compare SelectAM with Zenyt
19Zenyt logo
Zenyt

Data Science and Machine Learning Platforms

Zenyt.ai is an AI-powered platform that optimizes e-commerce experiences by simulating user behaviors to identify and resolve friction points, from broken elements to suboptimal flows. With a focus on clarity, simplicity, and impact, Zenyt helps brands achieve exceptional results and stand out in their industries.

Revenue
$660K
Customers
-
Year founded
2023
Funding
$1.6M
Team size
6
Location
United States
Compare SelectAM with HawkSearch
20HawkSearch logo
HawkSearch

Data Science and Machine Learning Platforms

HawkSearch is an intelligent search and recommendations platform that powers success for any size business across all industries. Our goal is to ensure brands have innovative tools to deliver accurate, relevant and customizable search experiences enabling users to find the relevant results for their needs in context, no matter the device, platform, or language. Having completed over 400+ implementations, HawkSearch is utilized for delivering engaging and personalized search experiences through our innovative features, which enable marketers, merchandisers and developers to accomplish their goals.

Revenue
$660K
Customers
-
Year founded
2012
Funding
-
Team size
6
Location
United States
Top SelectAM Competitors & Alternatives