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Top DONNA.ai Alternatives, Competitors & Similar Software

Founded 2013

Find 20 competitors in the AI & Machine Learning Operationalization (MLOps) Software. Compare other SaaS such as Envoria, nanobi analytics and nanobi analytics. These DONNA.ai competitors have raised - and together serve more than - customers and employ over 799 team members.

Compare DONNA.ai with Envoria
1Envoria logo
Envoria

AI & Machine Learning Operationalization (MLOps) Software

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 DONNA.ai with nanobi analytics
2nanobi analytics logo
nanobi analytics

AI & Machine Learning Operationalization (MLOps) Software

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 DONNA.ai with nanobi analytics
3nanobi analytics logo
nanobi analytics

AI & Machine Learning Operationalization (MLOps) Software

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 DONNA.ai with GraphAware
4GraphAware logo
GraphAware

AI & Machine Learning Operationalization (MLOps) Software

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 DONNA.ai with GraphAware
5GraphAware logo
GraphAware

AI & Machine Learning Operationalization (MLOps) Software

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 DONNA.ai with 4CRisk.ai
64CRisk.ai logo
4CRisk.ai

AI & Machine Learning Operationalization (MLOps) Software

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 DONNA.ai with 4CRisk.ai
74CRisk.ai logo
4CRisk.ai

AI & Machine Learning Operationalization (MLOps) Software

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 DONNA.ai with 4CRisk.ai
84CRisk.ai logo
4CRisk.ai

AI & Machine Learning Operationalization (MLOps) Software

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 DONNA.ai with GraphAware
9GraphAware logo
GraphAware

AI & Machine Learning Operationalization (MLOps) Software

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 DONNA.ai with GraphAware
10GraphAware logo
GraphAware

AI & Machine Learning Operationalization (MLOps) Software

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 DONNA.ai with Smart Engines
11Smart Engines logo
Smart Engines

AI & Machine Learning Operationalization (MLOps) Software

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 DONNA.ai with Compusense Inc.
12Compusense Inc. logo
Compusense Inc.

AI & Machine Learning Operationalization (MLOps) Software

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 DONNA.ai with Smart Engines
13Smart Engines logo
Smart Engines

AI & Machine Learning Operationalization (MLOps) Software

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 DONNA.ai with GraphAware
14GraphAware logo
GraphAware

AI & Machine Learning Operationalization (MLOps) Software

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 DONNA.ai with Soho2
15Soho2 logo
Soho2

AI & Machine Learning Operationalization (MLOps) Software

Reduce Risk. Derive Insights. Say the right thing. Soho2 Talos reduces risk, improves agent efficiency, and automates compliance by turning customer communications into actionable insights. Architected to seamlessly integrate with common contact center and CRM platforms, S2 leverages fully customizable solutions to analyze data and classify all customer interactions for easy risk-based prioritization, reporting, and actionability. In an era when customer interactions have grown beyond traditional call center formats, S2 provides native audio and text communication support. Taking an innovative approach, Sohosquared builds systems and models that adapt to a wide variety of risk and classification profiles across omnichannel customer interactions.

Revenue
$4.4M
Customers
-
Year founded
2020
Funding
-
Team size
39
Location
United States
Compare DONNA.ai with GraphAware
17GraphAware logo
GraphAware

AI & Machine Learning Operationalization (MLOps) Software

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 DONNA.ai with Beatgrid
18Beatgrid logo
Beatgrid

AI & Machine Learning Operationalization (MLOps) Software

Beatgrid: The Cross-Media Advertising Effectiveness Currency The demand for an innovative cross-media measurement solution with first-party deduplicated data has reached new heights. Measurement companies struggle to keep pace with solutions that fall short by relying on modeled demographics, census data, and algorithms to connect consumers with look-alike media behaviors for cross-media measurement. We have successfully solved this problem with our cutting-edge single-source panel approach, powered by passive mobile Automatic Content Recognition (ACR) and Geofencing technology. No more guesswork! Beatgrid's new-wave TRUE Single-Source™ technology has shattered industry barriers to accurately spot deduplicated reach and frequency, as well as the brand lift effect, all at a person level, across AV and OOH advertising campaigns. Join the new cross-media advertising effectiveness currency that forward-thinking CMOs, VPs of Ad Sales, and Market Intelligence Directors are using to optimize their cross-media advertising campaigns and cut on ad waste. --------------------------------------------------------------------------------- Beatgrid is a fast-growing adtech company, founded in 2014 and headquartered in The Hague, Netherlands. It is the only agnostic single-source and person-level cross-media measurement solution that accurately tracks deduplicated TV and cross-media advertising R&F, brand lift, and footfall efforts with accuracy.

Revenue
$4.4M
Customers
-
Year founded
2014
Funding
-
Team size
40
Location
Netherlands
Compare DONNA.ai with Smart Engines
19Smart Engines logo
Smart Engines

AI & Machine Learning Operationalization (MLOps) Software

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 DONNA.ai with CareMonitor
20CareMonitor logo
CareMonitor

AI & Machine Learning Operationalization (MLOps) Software

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
Top DONNA.ai Competitors & Alternatives