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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 nanobi analytics, Addressable and nanobi analytics. These DONNA.ai competitors have raised $13.5M and together serve more than - customers and employ over 805 team members.

Compare DONNA.ai with nanobi analytics
1
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 Addressable
2
Addressable

AI & Machine Learning Operationalization (MLOps) Software

At Addressable, we empower Web3 giants with cutting-edge technology, crafted by the industry's finest data and cyber engineers, enabling effortless creation of marketing campaigns tailored to audiences of wallet owners. Our Web3 Growth Suite seamlessly integrates blockchain and social data, allowing us to deeply understand Web3 users and execute targeted campaigns across various platforms, including Twitter Ads and a vast network of over 400,000 websites and mobile apps. With a relentless focus on optimizing for on-chain conversions, Addressable delivers a full Web3 to Web2 attribution system, meticulously evaluating campaign performance across channels by tracking website visits, wallet connect logins, and on-chain events. Over the past year, Addressable has demonstrated its prowess by successfully executing campaigns for hundreds of blockchain companies, earning the trust of well-known names like Immutable, BigTime, Polygon, Hashflow, Radix, Bancor, and Travala.

Revenue
$4.4M
Customers
-
Year founded
2022
Funding
$13.5M
Team size
40
Location
Israel
Compare DONNA.ai with nanobi analytics
3
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 4CRisk.ai
4
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
5
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 Envoria
6
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 4CRisk.ai
7
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 pyne GmbH
8
pyne GmbH

AI & Machine Learning Operationalization (MLOps) Software

We help b2b SaaS companies with many users lead user to value at scale with a personalized in-product experience.

Revenue
$4.4M
Customers
-
Year founded
2022
Funding
-
Team size
40
Location
Germany
Compare DONNA.ai with GraphAware
9
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
10
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 Compusense Inc.
11
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 GraphAware
12
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
13
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 pyne GmbH
14
pyne GmbH

AI & Machine Learning Operationalization (MLOps) Software

We help b2b SaaS companies with many users lead user to value at scale with a personalized in-product experience.

Revenue
$4.4M
Customers
-
Year founded
2022
Funding
-
Team size
40
Location
Germany
Compare DONNA.ai with GraphAware
15
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
16
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 INTELLIBEE
17
INTELLIBEE

AI & Machine Learning Operationalization (MLOps) Software

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 DONNA.ai with pyne GmbH
18
pyne GmbH

AI & Machine Learning Operationalization (MLOps) Software

We help b2b SaaS companies with many users lead user to value at scale with a personalized in-product experience.

Revenue
$4.4M
Customers
-
Year founded
2022
Funding
-
Team size
40
Location
Germany
Compare DONNA.ai with Soho2
19
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 Escape
20
Escape

AI & Machine Learning Operationalization (MLOps) Software

Escape is the only DAST that works with your modern stack and tests business logic instead of missing headers. It fits right into your modern stack, supporting modern web frameworks, APIs, CI/CD, and Wiz without hassle. With Escape, you can: 1. Document all your APIs & Web Apps in minutes and enrich your inventory with seamless integrations. 2. Discover vulnerabilities even at a business logic level with our proprietary AI-powered algorithm. 3. Remediate issues efficiently with code snippets tailored to each framework

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