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Top Datarisk.io Alternatives, Competitors & Similar Software

Founded 2015

Find 20 competitors in the Analytics Platforms. Compare other SaaS such as Worklytics, Toggle and Toggle. These Datarisk.io competitors have raised - and together serve more than - customers and employ over 598 team members.

Compare Datarisk.io with Worklytics
1Worklytics logo
Worklytics

Analytics Platforms

Worklytics is productivity analytics for teams, gathered from data in tools like G Suite, Slack

Revenue
$3.2M
Customers
-
Year founded
2018
Funding
-
Team size
15
Location
United States
Compare Datarisk.io with Toggle
2Toggle logo
Toggle

Analytics Platforms

SaaS company building state-of-the-art AI technology to help investors turn Big Data into investment insights.

Revenue
$3.2M
Customers
-
Year founded
2019
Funding
-
Team size
45
Location
United States
Compare Datarisk.io with Toggle
3Toggle logo
Toggle

Analytics Platforms

SaaS company building state-of-the-art AI technology to help investors turn Big Data into investment insights.

Revenue
$3.2M
Customers
-
Year founded
2019
Funding
-
Team size
45
Location
United States
Compare Datarisk.io with Resolute
7Resolute logo
Resolute

Analytics Platforms

Leading independent advisory firm and expert in solving complex financial, operational and HR issues for middle-market companies

Revenue
$3.2M
Customers
-
Year founded
2008
Funding
-
Team size
29
Location
United States
Compare Datarisk.io with Grit Solutions S.L.
8Grit Solutions S.L. logo
Grit Solutions S.L.

Analytics Platforms

Zepo is designed to run simulated phishing attacks to test the susceptibility of your employees to cyber attacks. By providing a safe and controlled environment for employees to practice detecting and responding to phishing attempts.

Revenue
$3.2M
Customers
-
Year founded
-
Funding
-
Team size
29
Location
Spain
Compare Datarisk.io with Coho AI
9Coho AI logo
Coho AI

Analytics Platforms

​Coho AI is a product-led revenue platform designed to help B2B SaaS companies enhance user retention and maximize customer lifetime value (LTV) through AI-powered, personalized user journeys. Founded in 2021 by Itamar Falcon, Michael Ehrlich, and Ariel Maislos, the company is headquartered in New York, with additional operations in Tel Aviv. Coho AI's platform integrates seamlessly with existing SaaS tools, providing a comprehensive analysis of user interactions to identify growth opportunities and reduce churn. By leveraging real-time data and advanced analytics, Coho AI enables teams to make informed decisions that drive sustainable revenue growth.

Revenue
$3.2M
Customers
-
Year founded
2021
Funding
-
Team size
29
Location
United States
Compare Datarisk.io with Legartis
10Legartis logo
Legartis

Analytics Platforms

Legartis is developing an AI-based legal document life cycle solution provided as a SaaS system. It aids companies'​ legal and compliance departments, HR and procurement to review, analyze, amend and manage all legal documents throughout their entire life cycle. The solution operates in a multilingual context, using the latest findings from Machine Learning & Natural Language Processing.

Revenue
$3.2M
Customers
-
Year founded
2017
Funding
-
Team size
29
Location
United States
Compare Datarisk.io with Growblocks
12Growblocks logo
Growblocks

Analytics Platforms

Growblocks is the first RevOps platform that lets you find every problem in your GTM engine with one click. GTM teams use our platform to run planning, forecast performance and monitor their entire GTM performance. How it works: We connect to your commercial stack, build your funnel and calibrate it together - giving you a view of every stage with both volume, conversion and processing metrics (ACVs etc) How it’s being used: Annual planning and replanning. Run weekly GTM meetings with Growblocks to discuss performance, understand problems and define solutions. And last, daily monitoring of current and forecasted performance.

Revenue
$3.2M
Customers
-
Year founded
2021
Funding
-
Team size
29
Location
Denmark
Compare Datarisk.io with Coho AI
13Coho AI logo
Coho AI

Analytics Platforms

​Coho AI is a product-led revenue platform designed to help B2B SaaS companies enhance user retention and maximize customer lifetime value (LTV) through AI-powered, personalized user journeys. Founded in 2021 by Itamar Falcon, Michael Ehrlich, and Ariel Maislos, the company is headquartered in New York, with additional operations in Tel Aviv. Coho AI's platform integrates seamlessly with existing SaaS tools, providing a comprehensive analysis of user interactions to identify growth opportunities and reduce churn. By leveraging real-time data and advanced analytics, Coho AI enables teams to make informed decisions that drive sustainable revenue growth.

Revenue
$3.2M
Customers
-
Year founded
2021
Funding
-
Team size
29
Location
United States
Compare Datarisk.io with Cevinio
14Cevinio logo
Cevinio

Analytics Platforms

At Cevinio, we help global enterprises turn their AP challenges into opportunities by delivering autonomous accounts payable invoice automation software. By applying our latest developments in AI, machine learning and RPA Cevinio has proven able to boost agent productivity, increase cost savings and improve local and global compliance.​ Transform and standardize your invoice processes across shared service centers and entities with a solution that is ​multi-language, multi-country, and can handle the complexities associated with working with multiple ERPs at the same time. 𝗦𝘁𝗿𝗲𝗮𝗺𝗹𝗶𝗻𝗶𝗻𝗴 𝘆𝗼𝘂𝗿 𝗶𝗻𝘃𝗼𝗶𝗰𝗲 𝗽𝗿𝗼𝗰𝗲𝘀𝘀 𝗶𝗻 𝟱 𝘀𝗶𝗺𝗽𝗹𝗲 𝘀𝘁𝗲𝗽𝘀. We start with the importing of the invoice, the step in which we get and extract data from any kind of invoice submitted via different channels. Then, for invoice batches, we activate our smart splitting and sorting engine.​ The third step is the PO/non-PO invoice classification, right before the invoice validation stage, where we run compliance and accounting checks. Lastly, the invoice approval and exporting into the relevant ERP. Through this journey cutting-edge features and capabilities are active: - Page Splitting ​OCR AI recognition​ - Advanced AI-powered multi-OCR​ - Comparison of unstructured data on the invoice (no templating required) and the structured data from your VMD to identify the vendor​ - Data matching, ability to work with large data sets of master data and transactional data (PO, GRN, Invoice, etc.)​ - Automated non-PO invoice coding ​ - Tax accounting engine/robot​ - Automated ​compliance ​checks​ - PO/GRN validation and 2-way, 3-way, and 4-way matching​ - Advanced approval workflow module - Vendor invoice portal - Cevinio Analytics Suite Discover a future-proof AP software that is continuously updated and improved. We work every day to build new features and functionalities, making sure our clients keep up with their challenging business goals.

Revenue
$3.2M
Customers
-
Year founded
2014
Funding
-
Team size
29
Location
Netherlands
Compare Datarisk.io with Pricepoint
15Pricepoint logo
Pricepoint

Analytics Platforms

It’s not magic. It’s science. Our team has 10 years’ experience in hospitality and revenue management. We have one goal: Increase your revenue. That’s why we created Pricepoint. It works full-time to forecast your demand and find your optimal rates, using advanced data science and machine-learning techniques. Our mission is to stay on the leading edge of technology, providing the most advanced revenue management solutions in the simplest form. We want to make RMS accessible to all types of users.

Revenue
$3.2M
Customers
-
Year founded
2019
Funding
-
Team size
29
Location
United States
Compare Datarisk.io with Quality Match GmbH
16Quality Match GmbH logo
Quality Match GmbH

Analytics Platforms

Better datasets create better machine learning models, enabling better products.Quality Match verifies and improves the quality of datasets for computer vision and machine learning. This can be applied to: - dataset architecture (are my dataset and taxonomy good?) - measure the quality of annotation providers (is the quality as advertised?) - evaluate model performance (when does the model fail?) - supervise model-drift (is the model still working?) and many more use cases. We focus on creating actionable, quantitative metrics on dataset quality, such as: - representativeness (bias analysis) - accuracy (labels, detection rates and geometric properties of annotations) - and ambiguity (edge cases due to bad data or bad taxonomies). We do this by breaking down quality questions into a large decision tree where each node is either a training-free, unambiguous crowd-sourcing task which is repeated until statistical significance, or a pretrained machine learning model with known confusion matrix. We call this system our Annotation Quality Engine. To verify your data, we help you verifying and integrating your metrics into our Annotation Quality Engine which you will then be able to query through a simple REST API.

Revenue
$3.2M
Customers
-
Year founded
2019
Funding
-
Team size
29
Location
Germany
Compare Datarisk.io with Quality Match GmbH
17Quality Match GmbH logo
Quality Match GmbH

Analytics Platforms

Better datasets create better machine learning models, enabling better products.Quality Match verifies and improves the quality of datasets for computer vision and machine learning. This can be applied to: - dataset architecture (are my dataset and taxonomy good?) - measure the quality of annotation providers (is the quality as advertised?) - evaluate model performance (when does the model fail?) - supervise model-drift (is the model still working?) and many more use cases. We focus on creating actionable, quantitative metrics on dataset quality, such as: - representativeness (bias analysis) - accuracy (labels, detection rates and geometric properties of annotations) - and ambiguity (edge cases due to bad data or bad taxonomies). We do this by breaking down quality questions into a large decision tree where each node is either a training-free, unambiguous crowd-sourcing task which is repeated until statistical significance, or a pretrained machine learning model with known confusion matrix. We call this system our Annotation Quality Engine. To verify your data, we help you verifying and integrating your metrics into our Annotation Quality Engine which you will then be able to query through a simple REST API.

Revenue
$3.2M
Customers
-
Year founded
2019
Funding
-
Team size
29
Location
Germany
Compare Datarisk.io with Alii - Accounts Payable & P2P Automation
18Alii - Accounts Payable & P2P Automation logo
Alii - Accounts Payable & P2P Automation

Analytics Platforms

Experience the power of streamlined accounts payable and procurement functions with Alii™. Our cutting-edge technology offers unrivalled fraud detection capabilities, customised workflows, and secure approvals, ensuring a dynamic and secure platform for your staff to work with. With Alii, you can say goodbye to the hassle of paper-based processes, manual tasks, and the risk of fraud. Alii automates the delegation of authority for purchases and payments, simplifying complex workflows to save you time and improve visibility. Alii's advanced invoice scanning technology provides an extra layer of protection against fraudulent invoices. What's more, Alii's comprehensive dashboards and analytics offer complete governance and visibility of data through the entire procure-to-pay process. Alii is designed to seamlessly integrate with all major school management platforms and financial packages, making the transition to our software effortless and straightforward. Join the growing number of organisations that are reaping the benefits of Alii and streamline your accounts payable and procurement functions today.

Revenue
$3.2M
Customers
-
Year founded
2018
Funding
-
Team size
29
Location
Australia
Compare Datarisk.io with Ubidots
19Ubidots logo
Ubidots

Analytics Platforms

Launch your business' digital initiatives with Ubidots' IIoT software for cloud-based data acquisition, analysis, and visualization. System Integrators, end users, and OEMs from around the world use Ubidots to effortlessly turn data into action and improve KPIs and services. Developing an IoT application that works and looks nice can take thousands of engineering hours. Save development costs and headaches with Ubidots' pre-built analytics and visualization tools to power your products and data-driven services. Ubidots engineering stack delivers a secure, white-glove experience with device friendly APIs to simply and securely connect hardware and digital inputs so that data can be analyzed and transformed into business-improving solutions. With Ubidots, connect devices efficiently, manage data, and visualize any aspect of your operation with ease.

Revenue
$3.2M
Customers
-
Year founded
2013
Funding
-
Team size
29
Location
Colombia
Compare Datarisk.io with Opeeka
20Opeeka logo
Opeeka

Analytics Platforms

Opeeka’s mission is to bridge the gap in health and human services and make a positive impact in the lives of children, adults and families through thoughtful use of technology. Drawing from our extensive backgrounds in behavioral health and child welfare, Opeeka has identified barriers and constraints in practice and have forged intelligent solutions to help bring clients, family and agencies together to reach positive outcomes more efficiently and effectively. Our flagship software is P-CIS is a revolutionary new assessment software that allows behavioral health, social services and human services staff to track client progress over time. P-CIS provides visualization of longitudinal changes in well-being as measured through assessment and reassessment. The goal of the software is to facilitate the use of assessment data in the decision-making process of person-centered care. P-CIS is ideal for use in social welfare, justice systems, behavioral health and school systems (for children). P-CIS is capable of handling intake and visual reporting of nearly any assessment used in human services practice, such as screening tools (e.g., ASSIST), level of care assessments (e.g., LOCUS), diagnostic tools (e.g., GAD Scale), checklists (e.g., PSC-35), functional assessments (ADL), decision support tools (e.g., ANSA, CANS, SDM) and satisfaction surveys. It is also equipped to handle common assessments administered in education, corrections and human resources.

Revenue
$3.2M
Customers
-
Year founded
2019
Funding
-
Team size
29
Location
United States
Top Datarisk.io Competitors & Alternatives