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Top Vendict Alternatives, Competitors & Similar Software

Founded 2020

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

Compare Vendict with DONNA.ai
1
DONNA.ai

AI & Machine Learning Operationalization (MLOps) Software

"DONNA.ai is a Revenue Acceleration Platform designed for independent insurance brokers and agencies. It is a Zero Data Entry platform that seamlessly integrates into existing workflows, delivering actionable insights directly into the hands of the agency’s desk level staff. DONNA.ai deploys advanced AI models that process the existing agency data, combines it with a wide variety of external data sets and delivers insights for predicting growth opportunities, understanding policyholder sentiment, and boosting retention. With DONNA.ai you can rapidly grow your revenue while reducing workloads for agency staff.”

Revenue
$4.4M
Customers
-
Year founded
2013
Funding
-
Team size
40
Location
United States
Compare Vendict with DONNA.ai
2
DONNA.ai

AI & Machine Learning Operationalization (MLOps) Software

"DONNA.ai is a Revenue Acceleration Platform designed for independent insurance brokers and agencies. It is a Zero Data Entry platform that seamlessly integrates into existing workflows, delivering actionable insights directly into the hands of the agency’s desk level staff. DONNA.ai deploys advanced AI models that process the existing agency data, combines it with a wide variety of external data sets and delivers insights for predicting growth opportunities, understanding policyholder sentiment, and boosting retention. With DONNA.ai you can rapidly grow your revenue while reducing workloads for agency staff.”

Revenue
$4.4M
Customers
-
Year founded
2013
Funding
-
Team size
40
Location
United States
Compare Vendict with DONNA.ai
3
DONNA.ai

AI & Machine Learning Operationalization (MLOps) Software

"DONNA.ai is a Revenue Acceleration Platform designed for independent insurance brokers and agencies. It is a Zero Data Entry platform that seamlessly integrates into existing workflows, delivering actionable insights directly into the hands of the agency’s desk level staff. DONNA.ai deploys advanced AI models that process the existing agency data, combines it with a wide variety of external data sets and delivers insights for predicting growth opportunities, understanding policyholder sentiment, and boosting retention. With DONNA.ai you can rapidly grow your revenue while reducing workloads for agency staff.”

Revenue
$4.4M
Customers
-
Year founded
2013
Funding
-
Team size
40
Location
United States
Compare Vendict with GraphAware
4
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 Vendict with 4CRisk.ai
5
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 Vendict with 4CRisk.ai
6
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 Vendict with GraphAware
7
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 Vendict with Envoria
8
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 Vendict with Smart Engines
9
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 Vendict with Smart Engines
10
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 Vendict with GraphAware
11
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 Vendict with 4CRisk.ai
12
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 Vendict with Band
13
Band

AI & Machine Learning Operationalization (MLOps) Software

Band is a modern incentive intelligence platform, designed to help businesses grow and save. Starting with rebate management, Band combines flexible, AI-driven contract and program structuring, data management, and integrations to give distributors, manufacturers, and buying groups or GPOs the tools needed to track and optimize rebate, SPAs, or coop dollars across customers or partners. Band's modular platform is designed for customers and groups of all sizes, industries, and business models to grow revenue and engagement by giving members, vendors, and employees the modern tools they expect.

Revenue
$4.4M
Customers
-
Year founded
2022
Funding
-
Team size
40
Location
United States
Compare Vendict with Band
14
Band

AI & Machine Learning Operationalization (MLOps) Software

Band is a modern incentive intelligence platform, designed to help businesses grow and save. Starting with rebate management, Band combines flexible, AI-driven contract and program structuring, data management, and integrations to give distributors, manufacturers, and buying groups or GPOs the tools needed to track and optimize rebate, SPAs, or coop dollars across customers or partners. Band's modular platform is designed for customers and groups of all sizes, industries, and business models to grow revenue and engagement by giving members, vendors, and employees the modern tools they expect.

Revenue
$4.4M
Customers
-
Year founded
2022
Funding
-
Team size
40
Location
United States
Compare Vendict with Northern.tech
15
Northern.tech

AI & Machine Learning Operationalization (MLOps) Software

Northern.tech is the leader in device lifecycle management with a mission to secure the world's connected devices. Established in 2008, Northern.tech showcases a long history of enterprise technology management before IIoT and IoT became buzzwords. Northern.tech is the company behind CFEngine, the pioneer in server configuration management, to automate large-scale IT operations and compliance. In 2015, Northern.tech released the first version of Mender.io, the market leader in over-the-air (OTA) software update management. Mender offers robust, secure, and customizable OTA software updates for smart devices. Powering OTA software updates for more than a million devices worldwide over nearly a decade, Mender boasts a proven track record with Fortune 1000 clients, including Panasonic, Lyft, Volkswagen, Siemens, Thales, and ZF Group. Learn more about device lifecycle management for devices.

Revenue
$4.4M
Customers
-
Year founded
2008
Funding
-
Team size
40
Location
United States
Compare Vendict with Soho2
16
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 Vendict with Firmway
17
Firmway

AI & Machine Learning Operationalization (MLOps) Software

Firmway is an emerging Fin-tech Start-up which has transformed the way companies used to do Balance Confirmation & Reconciliation with their thousands of parties. Initially started with the vision of getting Third Party Confirmation for Statutory Audits in 2016, Now has advanced to catering various modules like Balance confirmation, Auto-reconciliation, MSME Confirmation, GST Reconciliation, 26AS Reconciliation, Data Management etc. In the short span of 6 years, Firmway has automated these processes for 650+ Corporate brands and Audit houses. Last year, we have channelized more than 2 lacs of confirmations, Reconciled entries worth INR 6 lakh crore, identified INR 90,000 Crore discrepancies and Saved INR 140 Crore for our clients. We are serving brands like Sodexo, Nykaa, Tata Electronics, PPG Asian Paints, Gati Logistics, Abbott, IPCA, Bluestar, etc.

Revenue
$4.4M
Customers
-
Year founded
2016
Funding
-
Team size
40
Location
India
Compare Vendict with Firmway
18
Firmway

AI & Machine Learning Operationalization (MLOps) Software

Firmway is an emerging Fin-tech Start-up which has transformed the way companies used to do Balance Confirmation & Reconciliation with their thousands of parties. Initially started with the vision of getting Third Party Confirmation for Statutory Audits in 2016, Now has advanced to catering various modules like Balance confirmation, Auto-reconciliation, MSME Confirmation, GST Reconciliation, 26AS Reconciliation, Data Management etc. In the short span of 6 years, Firmway has automated these processes for 650+ Corporate brands and Audit houses. Last year, we have channelized more than 2 lacs of confirmations, Reconciled entries worth INR 6 lakh crore, identified INR 90,000 Crore discrepancies and Saved INR 140 Crore for our clients. We are serving brands like Sodexo, Nykaa, Tata Electronics, PPG Asian Paints, Gati Logistics, Abbott, IPCA, Bluestar, etc.

Revenue
$4.4M
Customers
-
Year founded
2016
Funding
-
Team size
40
Location
India
Compare Vendict with Band
19
Band

AI & Machine Learning Operationalization (MLOps) Software

Band is a modern incentive intelligence platform, designed to help businesses grow and save. Starting with rebate management, Band combines flexible, AI-driven contract and program structuring, data management, and integrations to give distributors, manufacturers, and buying groups or GPOs the tools needed to track and optimize rebate, SPAs, or coop dollars across customers or partners. Band's modular platform is designed for customers and groups of all sizes, industries, and business models to grow revenue and engagement by giving members, vendors, and employees the modern tools they expect.

Revenue
$4.4M
Customers
-
Year founded
2022
Funding
-
Team size
40
Location
United States
Compare Vendict with Scopify AI
20
Scopify AI

AI & Machine Learning Operationalization (MLOps) Software

A buyer-focused AI-powered sales intelligence platform for B2B growth teams. Our unique approach of combining best-in-class data with a human-in-the-loop model is making it operationally efficient for B2B companies to achieve desired scale.

Revenue
$4.4M
Customers
-
Year founded
2019
Funding
-
Team size
40
Location
United States
Top Vendict Alternatives, Competitors & Similar Software | GetLatka