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Top Symphony RetailAI Alternatives, Competitors & Similar Software

Founded 1988

Find 20 competitors in the Data Science and Machine Learning Platforms. Compare other SaaS such as Pixalate, Pixalate and VisibleThread. These Symphony RetailAI competitors have raised $9.5M and together serve more than - customers and employ over 859 team members.

Compare Symphony RetailAI with Pixalate
1
Pixalate

Data Science and Machine Learning Platforms

Developer of a data analytics platform designed to bring transparency to programmatic advertising. The company's data analytics platform offers real-time campaign tracking, optimization, reporting and predictive fraud blocking services, enabling users with a suite of real-time fraud protection, market intelligence and independent quality ratings across devices and channels.

Revenue
$4.4M
Customers
-
Year founded
2012
Funding
$4.8M
Team size
56
Location
United States
Compare Symphony RetailAI with Pixalate
2
Pixalate

Data Science and Machine Learning Platforms

Developer of a data analytics platform designed to bring transparency to programmatic advertising. The company's data analytics platform offers real-time campaign tracking, optimization, reporting and predictive fraud blocking services, enabling users with a suite of real-time fraud protection, market intelligence and independent quality ratings across devices and channels.

Revenue
$4.4M
Customers
-
Year founded
2012
Funding
$4.8M
Team size
56
Location
United States
Compare Symphony RetailAI with VisibleThread
3
VisibleThread

Data Science and Machine Learning Platforms

Developer of a document analysis software designed to analyze and improves RFPs, proposals, solicitations and other documents. The company's document analysis software scans MS Office, PDF docs and entire websites for liability concerns, enabling enterprises to drive compliance and get content oversight.

Revenue
$4.4M
Customers
-
Year founded
2008
Funding
-
Team size
61
Location
United States
Compare Symphony RetailAI with ReturnGO
4
ReturnGO

Data Science and Machine Learning Platforms

Valued at more than $700 billion a year, eCommerce wasted returns present one of the biggest challenges for online stores. The true cost of returns extends beyond financial losses, as they also produce CO2 emissions, damaging the environment and contributing to climate change. ReturnGO is on a mission to make eCommerce sustainable, both for businesses and the environment. ReturnGO’s innovative technology is at the forefront of the evolving returns management market as the first open post-purchase platform for sustainable eCommerce, helping businesses increase profits while reducing waste.

Revenue
$4.4M
Customers
-
Year founded
2020
Funding
-
Team size
40
Location
United States
Compare Symphony RetailAI with GraphAware
5
GraphAware

Data Science and Machine Learning Platforms

GraphAware was founded in 2013 to help organisations gain competitive edge through the application of graph technologies. Our own product called GraphAware Hume is used by analysts, data scientists, and data-savvy business users all around the world to keep countries and communities safe, combat financial fraud, discover new medicines, advise important policymaking, and much much more. We also help clients implement their own solutions based on Hume and Neo4j - the most popular graph database on the market - by providing consulting, training, and software development services. We are a multinational, multicultural team of experts in the fields of software, databases, graph theory, and machine learning. Our culture is that of a small company but our plans are super ambitious. We are passionate about graphs and driven by customer success. Sense of ownership and striving for excellence is the norm at GraphAware. In times of trouble, we have each other's back. We love seeing our colleagues grow professionally and support their careers in the direction of their desire.

Revenue
$4.4M
Customers
-
Year founded
2013
Funding
-
Team size
40
Location
United Kingdom
Compare Symphony RetailAI with Envoria
6
Envoria

Data Science and Machine Learning Platforms

The all-in-one software Envoria simplifies ESG and financial reporting for companies – across industries and countries. Envoria supports companies in complying with ESG standards (CSRD/ESRS, etc.), the EU Taxonomy, and supply chain laws, as well as in carrying out CO2 calculations, materiality and climate risk analyses. Envoria also facilitates disclosure management and compliance with national and international lease and revenue accounting standards such as IFRS 16, IFR 15, ASC 842, HGB, and more. The scalable and audit-proof SaaS solution allows companies to record, monitor, analyze, and report all their ESG and financial data in a single place. DAX-listed companies and well-known corporations from the EU rely on Envoria. Close partnerships with auditing companies and consulting firms also ensure that legal changes and new audit requirements are implemented in the software as quickly as possible.

Revenue
$4.4M
Customers
-
Year founded
2018
Funding
-
Team size
40
Location
Germany
Compare Symphony RetailAI with CareMonitor
7
CareMonitor

Data Science and Machine Learning Platforms

CareMonitor is an innovative Health-Tech start-up which recently won the Australian Digital Health Agency Innovation award for its shared care, remote patient monitoring and telehealth software. Our cloud-based enterprise grade software platform has wide applicability in a number of areas such as hospital in the home, management of chronic disease patients, remote patient monitoring and also recently COVID-19. --​> For Healthcare Providers: CareMonitor provides intelligent, integrated health care coordination and shared care management capability with built in risk stratification tools, care pathways, continuous health monitoring, smart algorithms and data analytics which empowers the clinicians and care teams to provide personalised care to a large and diverse group of patients at scale by leveraging smart technology. --​> For Patients: CareMonitor provides the platform to partner with their healthcare team to pro-actively manage their health, develop individualised health care plans, monitor vital health metrics and securely communicate with their care team.

Revenue
$4.4M
Customers
-
Year founded
2018
Funding
-
Team size
40
Location
Australia
Compare Symphony RetailAI with 4CRisk.ai
8
4CRisk.ai

Data Science and Machine Learning Platforms

In this world, nothing is certain except death, taxes, and regulations. The global financial industry has been fined USD 345B in penalties since 2009, while they are spending USD 270B annually on risk and compliance-related activities – What gives?​​ Global financial firms must deal with 900+ regulators, 300+ million pages of rules, many standards, and a regulatory change every 7 minutes. It does not get any better for a national bank or a regional bank operating in the US; they deal with a complex and dynamic regulatory landscape. Enterprises also deal with a myriad of internal changes and factors such as organization structure, the introduction of new products or services, and pending enforcement actions. Throwing more humans at this problem and creating solutions to optimize the workflow between the humans has not worked, as evident by the ballooning cost of compliance and the increasing penalties due to non-compliance. In 2020, the 4CRisk.ai team battle-hardened by 100+years of collective GRC experience and a passion for solving the “unstructured data” problem trained neural networks and used advance AI techniques to encapsulate the intent of regulations into mathematical structures called vectors. These vectors are now being used to emulate human intelligence and augment the human effort at scale to perform activities like regulatory research, automate impact assessments, and mitigate the design weakness of your compliance and risk documentation. We are a data-intelligence platform company on a mission to reduce your cost of compliance and decrease the risk of non-compliance. Our AI-powered solutions augment your human-capital to identify, mitigate, and convert risks into opportunities.​

Revenue
$4.4M
Customers
-
Year founded
2019
Funding
-
Team size
40
Location
United States
Compare Symphony RetailAI with GraphAware
9
GraphAware

Data Science and Machine Learning Platforms

GraphAware was founded in 2013 to help organisations gain competitive edge through the application of graph technologies. Our own product called GraphAware Hume is used by analysts, data scientists, and data-savvy business users all around the world to keep countries and communities safe, combat financial fraud, discover new medicines, advise important policymaking, and much much more. We also help clients implement their own solutions based on Hume and Neo4j - the most popular graph database on the market - by providing consulting, training, and software development services. We are a multinational, multicultural team of experts in the fields of software, databases, graph theory, and machine learning. Our culture is that of a small company but our plans are super ambitious. We are passionate about graphs and driven by customer success. Sense of ownership and striving for excellence is the norm at GraphAware. In times of trouble, we have each other's back. We love seeing our colleagues grow professionally and support their careers in the direction of their desire.

Revenue
$4.4M
Customers
-
Year founded
2013
Funding
-
Team size
40
Location
United Kingdom
Compare Symphony RetailAI with GraphAware
10
GraphAware

Data Science and Machine Learning Platforms

GraphAware was founded in 2013 to help organisations gain competitive edge through the application of graph technologies. Our own product called GraphAware Hume is used by analysts, data scientists, and data-savvy business users all around the world to keep countries and communities safe, combat financial fraud, discover new medicines, advise important policymaking, and much much more. We also help clients implement their own solutions based on Hume and Neo4j - the most popular graph database on the market - by providing consulting, training, and software development services. We are a multinational, multicultural team of experts in the fields of software, databases, graph theory, and machine learning. Our culture is that of a small company but our plans are super ambitious. We are passionate about graphs and driven by customer success. Sense of ownership and striving for excellence is the norm at GraphAware. In times of trouble, we have each other's back. We love seeing our colleagues grow professionally and support their careers in the direction of their desire.

Revenue
$4.4M
Customers
-
Year founded
2013
Funding
-
Team size
40
Location
United Kingdom
Compare Symphony RetailAI with INTELLIBEE
11
INTELLIBEE

Data Science and Machine Learning Platforms

Firm offering services in cloud computing, wearables, IoT, mobile application development and analytics in big data using prototype-driven agile methodologies

Revenue
$4.4M
Customers
-
Year founded
2001
Funding
-
Team size
46
Location
United States
Compare Symphony RetailAI with nanobi analytics
12
nanobi analytics

Data Science and Machine Learning Platforms

nanobi data and analytics private limited is a software product company based in bangalore, whose mission is to provide businesses with products and analytic solutions using modern technology, which will help them better manage their business, customers and other parts of their ecosystem. the word nanobi (nano + BI), represents the synopsis of the companies approach towards analytics. nanobi is an cloud inspired analytics platform with a new approach on how analytics can be built, deployed and used. nanobi analytic platform lets you build analytic applications for use and consumption by consumers of information our product is a Cloud inspired business intelligence platform, that enables concept to live creations of analytics, rapidly*. Technically it is based on the open rest architecture and HTML5. we have made it easy to use, both for solution designers and business users. we have pre-built industry solutions that can help jumpstart your analytics journey, either on the cloud or on-premise. Our experts in financial services in banking, insurance and other domains, have created these keeping you in mind. Some of our analytic solutions are available as a service on the cloud. You can find them at www.theanalyticstree.com (currently in private beta) you can browse through analytic apps designed by us and our solution partners. You can subscribe to them on the site, from amongst a number of user plans

Revenue
$4.4M
Customers
-
Year founded
2012
Funding
-
Team size
40
Location
India
Compare Symphony RetailAI with 4CRisk.ai
14
4CRisk.ai

Data Science and Machine Learning Platforms

In this world, nothing is certain except death, taxes, and regulations. The global financial industry has been fined USD 345B in penalties since 2009, while they are spending USD 270B annually on risk and compliance-related activities – What gives?​​ Global financial firms must deal with 900+ regulators, 300+ million pages of rules, many standards, and a regulatory change every 7 minutes. It does not get any better for a national bank or a regional bank operating in the US; they deal with a complex and dynamic regulatory landscape. Enterprises also deal with a myriad of internal changes and factors such as organization structure, the introduction of new products or services, and pending enforcement actions. Throwing more humans at this problem and creating solutions to optimize the workflow between the humans has not worked, as evident by the ballooning cost of compliance and the increasing penalties due to non-compliance. In 2020, the 4CRisk.ai team battle-hardened by 100+years of collective GRC experience and a passion for solving the “unstructured data” problem trained neural networks and used advance AI techniques to encapsulate the intent of regulations into mathematical structures called vectors. These vectors are now being used to emulate human intelligence and augment the human effort at scale to perform activities like regulatory research, automate impact assessments, and mitigate the design weakness of your compliance and risk documentation. We are a data-intelligence platform company on a mission to reduce your cost of compliance and decrease the risk of non-compliance. Our AI-powered solutions augment your human-capital to identify, mitigate, and convert risks into opportunities.​

Revenue
$4.4M
Customers
-
Year founded
2019
Funding
-
Team size
40
Location
United States
Compare Symphony RetailAI with Smart Engines
15
Smart Engines

Data Science and Machine Learning Platforms

Smart Engines is a company that does research in artificial intelligence with expertise in computer vision software. Our optical character recognition systems (OCR) are dedicated to benefit public & private organizations by improving significantly their business processes with document scanning & analysis. With a customer-centric approach and an intrinsic desire to go beyond expectations with constant cutting-edge innovations, we have created a technology that delivers the highest performance in terms of OCR products. At the core of our strategic vision is for Smart Engines to be a mobility facilitator that relies on a vanguard of scientific knowledge to meet the challenges of the digital revolution. For more information please contact us using our website https://smartengines.com/contacts/ To test our demo application follow the links below: App Store - https://apps.apple.com/us/app/smart-engines/id1593408182 Google Play - https://play.google.com/store/apps/details?id=com.smartengines.se

Revenue
$4.4M
Customers
-
Year founded
2010
Funding
-
Team size
40
Location
United States
Compare Symphony RetailAI with SteerFox SAS
16
SteerFox SAS

Data Science and Machine Learning Platforms

SteerFox gère les budgets SEA/SEM de 150 clients en France et en Europe grâce à sa technologie propre, née de 4 années de R&D. Les connexions entre DMP, PIM, CRM, ERP et les plateformes publicitaires nécessite aujourd'hui une approche scientifique, big data et automatisée. Tout en gardant le niveau de qualité de services des grandes agences média, SteerFox offre toute la puissance de la technologie pour maximiser les performances des campagnes marketing.

Revenue
$4.4M
Customers
-
Year founded
2014
Funding
-
Team size
40
Location
France
Compare Symphony RetailAI with Compusense Inc.
17
Compusense Inc.

Data Science and Machine Learning Platforms

Compusense is the trusted software for Sensory and Consumer researchers. With over 35 years of experience, our secure, web-based platform is user-friendly, and easily accessible. Find out how Compusense provides value to Sensory and Consumer researchers worldwide at our website.

Revenue
$4.4M
Customers
-
Year founded
1986
Funding
-
Team size
40
Location
Canada
Compare Symphony RetailAI with GraphAware
19
GraphAware

Data Science and Machine Learning Platforms

GraphAware was founded in 2013 to help organisations gain competitive edge through the application of graph technologies. Our own product called GraphAware Hume is used by analysts, data scientists, and data-savvy business users all around the world to keep countries and communities safe, combat financial fraud, discover new medicines, advise important policymaking, and much much more. We also help clients implement their own solutions based on Hume and Neo4j - the most popular graph database on the market - by providing consulting, training, and software development services. We are a multinational, multicultural team of experts in the fields of software, databases, graph theory, and machine learning. Our culture is that of a small company but our plans are super ambitious. We are passionate about graphs and driven by customer success. Sense of ownership and striving for excellence is the norm at GraphAware. In times of trouble, we have each other's back. We love seeing our colleagues grow professionally and support their careers in the direction of their desire.

Revenue
$4.4M
Customers
-
Year founded
2013
Funding
-
Team size
40
Location
United Kingdom
Compare Symphony RetailAI with Smart Engines
20
Smart Engines

Data Science and Machine Learning Platforms

Smart Engines is a company that does research in artificial intelligence with expertise in computer vision software. Our optical character recognition systems (OCR) are dedicated to benefit public & private organizations by improving significantly their business processes with document scanning & analysis. With a customer-centric approach and an intrinsic desire to go beyond expectations with constant cutting-edge innovations, we have created a technology that delivers the highest performance in terms of OCR products. At the core of our strategic vision is for Smart Engines to be a mobility facilitator that relies on a vanguard of scientific knowledge to meet the challenges of the digital revolution. For more information please contact us using our website https://smartengines.com/contacts/ To test our demo application follow the links below: App Store - https://apps.apple.com/us/app/smart-engines/id1593408182 Google Play - https://play.google.com/store/apps/details?id=com.smartengines.se

Revenue
$4.4M
Customers
-
Year founded
2010
Funding
-
Team size
40
Location
United States
Top Symphony RetailAI Alternatives, Competitors & Similar Software | GetLatka