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Top Happy Cabbage Analytics Alternatives, Competitors & Similar Software

Founded 2019

Find 20 competitors in the Data Science and Machine Learning Platforms. Compare other SaaS such as Pluto Bioscoences, LoneScale and Rain Neuromorphics. These Happy Cabbage Analytics competitors have raised $4M and together serve more than 300 customers and employ over 290 team members.

Compare Happy Cabbage Analytics with LoneScale
2LoneScale logo
LoneScale

Data Science and Machine Learning Platforms

Automate buyer signals and next steps to create unlimited pipeline 🚀 LoneScale helps revenue teams prioritize the highest converting accounts—both known and hidden—using buyer signals like customers job changes, new hires, and job postings within your sales stack, and then search for buying contacts that match your personas in these accounts. Turn data into actions for your GTM #1 Simplify manual processes with automated workflows, AI, and pre-built playbooks (new hires, job changes, upcoming projects). #2 Turn every rep into your best seller with complete, up-to-date lists of high-potential prospects and selling points without having to spend hours researching. Your prospects deserve more than generic selling points.

Revenue
$1.8M
Customers
-
Year founded
-
Funding
-
Team size
12
Location
United States
Compare Happy Cabbage Analytics with Clarity
4Clarity logo
Clarity

Data Science and Machine Learning Platforms

Clarity is a user behavior analytics tool that helps you understand how users are interacting with your website through features such as session replays and heatmaps.

Revenue
$1.8M
Customers
-
Year founded
2020
Funding
-
Team size
12
Location
United States
Compare Happy Cabbage Analytics with Kaito
6Kaito logo
Kaito

Data Science and Machine Learning Platforms

Kaito is an AI-powered search engine for digital assets and a next-generation web3 information platform that indexes a wide range of web3 content not easily accessible through traditional search engines. It provides advanced analytics for crypto investors, researchers, developers, and the general public.

Revenue
$1.8M
Customers
-
Year founded
2022
Funding
-
Team size
30
Location
United States
Compare Happy Cabbage Analytics with LoneScale
7LoneScale logo
LoneScale

Data Science and Machine Learning Platforms

Automate buyer signals and next steps to create unlimited pipeline 🚀 LoneScale helps revenue teams prioritize the highest converting accounts—both known and hidden—using buyer signals like customers job changes, new hires, and job postings within your sales stack, and then search for buying contacts that match your personas in these accounts. Turn data into actions for your GTM #1 Simplify manual processes with automated workflows, AI, and pre-built playbooks (new hires, job changes, upcoming projects). #2 Turn every rep into your best seller with complete, up-to-date lists of high-potential prospects and selling points without having to spend hours researching. Your prospects deserve more than generic selling points.

Revenue
$1.8M
Customers
-
Year founded
-
Funding
-
Team size
12
Location
United States
Compare Happy Cabbage Analytics with Kaito
8Kaito logo
Kaito

Data Science and Machine Learning Platforms

Kaito is an AI-powered search engine for digital assets and a next-generation web3 information platform that indexes a wide range of web3 content not easily accessible through traditional search engines. It provides advanced analytics for crypto investors, researchers, developers, and the general public.

Revenue
$1.8M
Customers
-
Year founded
2022
Funding
-
Team size
30
Location
United States
Compare Happy Cabbage Analytics with LoneScale
9LoneScale logo
LoneScale

Data Science and Machine Learning Platforms

Automate buyer signals and next steps to create unlimited pipeline 🚀 LoneScale helps revenue teams prioritize the highest converting accounts—both known and hidden—using buyer signals like customers job changes, new hires, and job postings within your sales stack, and then search for buying contacts that match your personas in these accounts. Turn data into actions for your GTM #1 Simplify manual processes with automated workflows, AI, and pre-built playbooks (new hires, job changes, upcoming projects). #2 Turn every rep into your best seller with complete, up-to-date lists of high-potential prospects and selling points without having to spend hours researching. Your prospects deserve more than generic selling points.

Revenue
$1.8M
Customers
-
Year founded
-
Funding
-
Team size
12
Location
United States
Compare Happy Cabbage Analytics with Gray Routes
10Gray Routes logo
Gray Routes

Data Science and Machine Learning Platforms

Gray Routes is a market leader in GPS-based location intelligence, Distribution planning apps and data solutions that automate critical sales, supply chain logistics & distribution processes intelligently, bringing Sales, Delivery & Retail iQ at the fingertips of its clients such as Proctor & Gamble, GSK, Shalimar's, Blue bird, Safari and several thousand retailers, pharma, courier and transport associations among others. Customers who go live on Gray Routes platform, witness avg. productivity gains of 200% and market share improvements of 10% or more within first 12-18 months. Founded in 2013 by IIT KGP - IIM Ahmedabad alumni and ex-IIT Bombay startup leader with experience in Fortune 500 firms such as HUL, AI-leader Nvidia and Google, Gray Routes is profitable, angel-funded and institutional financing backed from Private banks, Private Equity as well as Product engineering sectors, and advised by North-America based UC Berkeley, SFU Professors, Canadian Retail Consultants and MNC CXOs. With wide acceptance across several industries and rapid traction of its innovative patent-pending and branded solutions, built on a heavy R&D budget, and the power of crowd-sourced knowledge-base on geo-locations, population, retail pricing trends and demand data, Gray Routes is well-positioned to become a global leader and a true champion of AI-automation in Sales & Distribution. Our products include: GrayFOS Sales iQ: www.grayfos.com GrayDrop Service iQ: www.graydrop.com GoStocky Retail iQ: www.gostocky.com Mentored by Uber Inc as 2018 UberEXCHANGE winner, and supported by DST & Gov. of Canada's Next Big Idea fellowship, Gray Routes was recognised as Best Company for Big Data Analytics Implementation under ITES category by Computer Society of India in 2016. It was voted among Top 4 Tech companies in India in UK's Royal Academy of Engineering LiFe Awards, 2015, Top 30 B2B companies in IBM SmartCamp 2014, Top 75 out of 14000 Innovative Business startups in Economic Times Power of Ideas 2012 organized by DST, CIIE-IIMA and ET. The firm has grown more than 300% YoY steadily for first 5 years, and is marching on at hyper-growth rates in excess of 40% QoQ with key partnerships and enterprise customer wins.

Revenue
$1.8M
Customers
-
Year founded
2013
Funding
-
Team size
12
Location
India
Compare Happy Cabbage Analytics with LoneScale
11LoneScale logo
LoneScale

Data Science and Machine Learning Platforms

Automate buyer signals and next steps to create unlimited pipeline 🚀 LoneScale helps revenue teams prioritize the highest converting accounts—both known and hidden—using buyer signals like customers job changes, new hires, and job postings within your sales stack, and then search for buying contacts that match your personas in these accounts. Turn data into actions for your GTM #1 Simplify manual processes with automated workflows, AI, and pre-built playbooks (new hires, job changes, upcoming projects). #2 Turn every rep into your best seller with complete, up-to-date lists of high-potential prospects and selling points without having to spend hours researching. Your prospects deserve more than generic selling points.

Revenue
$1.8M
Customers
-
Year founded
-
Funding
-
Team size
12
Location
United States
Compare Happy Cabbage Analytics with CloudFall
12CloudFall logo
CloudFall

Data Science and Machine Learning Platforms

Cloudfall has made its mission to be the next-generation MSSP that delivers the complete capability of "Monitoring-Analysis-Response" in a closed loop. Cloudfall decompose the "Security Operations Center (SOC)" in layers to deliver "next generation security operations services" in a more flexible and modular way; efficiently integrating people, technology and processes. Based on a cloud-native and artificial intelligence-based security operations platform, InsightX SIEM and RedKernel UEBA platform provides security operations capabilities for different enterprise customers in line with the current situation and medium and long-term development. While establishing the operation system for customers, Cloudfall hopes to combine its own understanding and knowledge of security to reshape the security operation chain with "practice + data + AI", ultimately helping users to clearly locate threats, reduce risks and improve overall security level.

Revenue
$1.8M
Customers
-
Year founded
2017
Funding
-
Team size
12
Location
China
Compare Happy Cabbage Analytics with Getvero
17Getvero logo
Getvero

Data Science and Machine Learning Platforms

Vero enables engineering, product, and marketing teams to design data-driven email communications for personalized customer experiences., Messaging platform to get you from idea to production faster

Revenue
$1.8M
Customers
300
Year founded
2012
Funding
$3M
Team size
6
Location
Canada
Compare Happy Cabbage Analytics with FedML
19FedML logo
FedML

Data Science and Machine Learning Platforms

FedML is a privately-held developer of an open-source community and an enterprise platform for decentralized and collaborative AI, and a web 3 AI marketplace. It provides an open-source MLOps platform for research, enabling developers and enterprises to build, deploy, and monetize their large language models easily and economically.

Revenue
$1.8M
Customers
-
Year founded
2022
Funding
-
Team size
25
Location
United States
Compare Happy Cabbage Analytics with CloudFall
20CloudFall logo
CloudFall

Data Science and Machine Learning Platforms

Cloudfall has made its mission to be the next-generation MSSP that delivers the complete capability of "Monitoring-Analysis-Response" in a closed loop. Cloudfall decompose the "Security Operations Center (SOC)" in layers to deliver "next generation security operations services" in a more flexible and modular way; efficiently integrating people, technology and processes. Based on a cloud-native and artificial intelligence-based security operations platform, InsightX SIEM and RedKernel UEBA platform provides security operations capabilities for different enterprise customers in line with the current situation and medium and long-term development. While establishing the operation system for customers, Cloudfall hopes to combine its own understanding and knowledge of security to reshape the security operation chain with "practice + data + AI", ultimately helping users to clearly locate threats, reduce risks and improve overall security level.

Revenue
$1.8M
Customers
-
Year founded
2017
Funding
-
Team size
12
Location
China
Top Happy Cabbage Analytics Competitors & Alternatives