Latka logo

Top Virtuals Protocol Alternatives, Competitors & Similar Software

Find 20 competitors in the Data Science and Machine Learning Platforms. Compare other SaaS such as Simplr, Excess Materials Exchange and OrderGrid. These Virtuals Protocol competitors have raised $5M and together serve more than - customers and employ over 872 team members.

Compare Virtuals Protocol with Simplr
1
Simplr

Data Science and Machine Learning Platforms

Simplr enables enterprise-class companies to transform their CX from a cost center to a revenue driver. Simplr's digital concierge approach improves customer service cost-effectively and drives revenue opportunities along the customer interaction lifecycle. We provide customer service through cutting-edge automation and a global pool of AI-enabled agents across all customer service channels. Simplr is a wholly owned subsidiary of Asurion, the world’s leading tech care company, which serves over 300 million customers. Find more information about Simplr at https://www.simplr.ai/

Revenue
$5M
Customers
-
Year founded
2017
Funding
-
Team size
45
Location
United States
Compare Virtuals Protocol with Excess Materials Exchange
2
Excess Materials Exchange

Data Science and Machine Learning Platforms

The Excess Materials Exchange (EME) is an online, facilitated marketplace where companies can exchange ANY excess material B2B. We actively match supply and demand and materials with their highest reuse opportunities. In that sense, we work like a dating site for materials where we are the matchmakers. Our purpose is to eliminate the word waste from the dictionary, to create a reliable source of secondary materials, ranging from steel plates to textile fibers. We are one of the few marketplaces that facilitates transactions across sectors and industries. We matching materials with the help of AI, safely exchanging sensitive data via blockchain and spurring innovation around material reuse. We are tapped into a global knowledge network of circular economy experts. This enables companies to become more resource resilient, decrease their environmental footprint and improve their bottom line by turning their waste into wealth.

Revenue
$5M
Customers
-
Year founded
2018
Funding
$5M
Team size
45
Location
Netherlands
Compare Virtuals Protocol with OrderGrid
3
OrderGrid

Data Science and Machine Learning Platforms

At OrderGrid, we specialize in delivering advanced inventory, replenishment, order, and warehouse management solutions tailored to your specific business needs. Our innovative approach to inventory control transforms the customer experience, boosts efficiency, and drives revenue growth across various industry segments, including Grocery, Food Distribution, Gas & Convenience, and DTC. Our feature-rich platform harnesses the power of AI to optimize inventory management, streamline operations, and enhance decision-making processes. Proven in nine global markets with over ten leading partners, our software is designed to meet diverse operational needs. We take pride in offering a plug-and-play solution that seamlessly integrates with your existing system, ensuring a quick implementation process that delivers immediate results. Our low-cost platform enhances operational efficiency, and our cloud-based, API-first approach promotes limitless scalability while reducing costs and waste in your operations. Join us on this journey to transform your operations and set new standards in the industry.

Revenue
$5M
Customers
-
Year founded
-
Funding
-
Team size
45
Location
Canada
Compare Virtuals Protocol with nPlan
5
nPlan

Data Science and Machine Learning Platforms

At nPlan we are building the world's first system to understand construction project planning. We make heavy use of machine learning to forecast outcomes of construction projects before the first shovel hits the ground. Our vision is that all construction projects should be built on time and budget, through a better understanding of plan outcomes. We are bringing certainty of the outcome to the industry, plan first. We will eliminate the crippling effects of poor planning and create a world where we’ve de-risked building infrastructure, enabling the construction of better buildings to help us live better lives.

Revenue
$5M
Customers
-
Year founded
2017
Funding
-
Team size
45
Location
United Kingdom
Compare Virtuals Protocol with Zappyhire
6
Zappyhire

Data Science and Machine Learning Platforms

Zappyhire is an AI-powered Recruitment Automation Platform that helps medium and large companies screen, engage, and hire the right talent faster. Our goal is to transform talent management through intelligent automation and unmatched stakeholder experience. 🏆Rated #1 Recruitment Automation Software 🏆Trusted by over 17,800 recruiters across the globe 🏆Winner - IDC DX Awards and Indian Express' Most Innovative Project Award What can we do for you? * Automate the entire recruitment process - from creating a job requisition to releasing the offer letter, and onboarding. * Help save recruiters’ time by automating manual/clerical tasks like scheduling interviews to make better hiring decisions faster. * Transform recruitment cycle from a process-driven to an experience-driven journey for all stakeholders. * Explore data-driven hiring practices with advanced analytics, insights on past hiring patterns, and intelligent recommendations. * Get all the benefits of an Applicant Tracking System (ATS) and Candidate Relationship Management (CRM) tool on a single platform. What we offer? * Intelligent resume parser and candidate auto-ranking * Personalized multi-lingual recruiting chatbot * AI-enabled robotic video interview * 360-degree candidate profile with 16+ data points * Collaborative hiring; manage hiring vendors through dedicated portals * Predictive hiring based on past transactional data * Candidate engagement automation via 3rd party integrations & personalized communication channels * Dedicated leadership and interviewer screens with advanced analytics & reporting * Fully customizable offer letter module * Highly configurable DIY (drag-and-drop) interface * Recruitment marketing tools for one-click distribution to job portals, social sharing, employee referral, and more. What results can you expect? * Improve candidate experience by 8X * Understand candidates 3X better * Reduce time to hire by 4X * Screen candidates at 10X efficiency And, so much more.

Revenue
$5M
Customers
-
Year founded
2018
Funding
-
Team size
45
Location
India
Compare Virtuals Protocol with b-next group
7
b-next group

Data Science and Machine Learning Platforms

b-next AG is one of the world’s leading providers of corporate software in the capital markets trading surveillance and compliance sector. The corporation has around 70 employees. Its customer base in the finance sector includes, among others, renowned banks, brokers, supervisory bodies and energy suppliers. In the 30-year history of the company, several hundred customer projects have been successfully carried out. b-next is represented by its own branch offices in Germany, Great Britain and the United States. The slogan ‘SECURE | PROTECT | COMPLY’ stands for the company’s powerful and comprehensive solutions covering the entire spectrum of compliance requirements in the capital markets. b-next’s products help companies meet regulatory requirements and manage operational risks. The major value driver for b-next are the development of innovative, cloud-based applications as well as the use of artificial intelligence, in particular for a strategic approach to compliance.

Revenue
$5M
Customers
-
Year founded
1989
Funding
-
Team size
45
Location
Germany
Compare Virtuals Protocol with Matter B2B
8
Matter B2B

Data Science and Machine Learning Platforms

We are changing the face of B2B sales and marketing by combining the brightest minds with the latest technology – using artificial intelligence and sales 4.0 methodology to deliver transformational results. We transform high impact sales and marketing initiatives by connecting offline and online journeys through the entire buying life cycle, creating a path for high-value interactions in the moments that matter.

Revenue
$5M
Customers
-
Year founded
2020
Funding
-
Team size
33
Location
United Kingdom
Compare Virtuals Protocol with ScorePlay clients
9
ScorePlay clients

Data Science and Machine Learning Platforms

ScorePlay uses AI facial and text recognition and integrations, to automate the management and distribution of digital, media and broadcast content for sports organizations. Seamless web and mobile apps mean you no longer have to spend time sorting and sending your content, whatever size organization you are. Packages: - Creator (Digital Asset Manager) - Studio (Media Asset Manager) - Pulse (Production Asset Manager)

Revenue
$5M
Customers
-
Year founded
-
Funding
-
Team size
45
Location
United States
Compare Virtuals Protocol with nPlan
10
nPlan

Data Science and Machine Learning Platforms

At nPlan we are building the world's first system to understand construction project planning. We make heavy use of machine learning to forecast outcomes of construction projects before the first shovel hits the ground. Our vision is that all construction projects should be built on time and budget, through a better understanding of plan outcomes. We are bringing certainty of the outcome to the industry, plan first. We will eliminate the crippling effects of poor planning and create a world where we’ve de-risked building infrastructure, enabling the construction of better buildings to help us live better lives.

Revenue
$5M
Customers
-
Year founded
2017
Funding
-
Team size
45
Location
United Kingdom
Compare Virtuals Protocol with CyberSaint
11
CyberSaint

Data Science and Machine Learning Platforms

Powered by patented AI and actuarial data, CyberSaint's CyberStrong platform enables enterprises to master their cyber risk posture and drive executive alignment by automating compliance and translating cyber risk into financial terms. Fortune 50 titans, MSPs, and high-growth startups alike trade manual compliance assessments for automation, replace black-box scoring with transparent and credible cyber risk quantification, and consolidate point solutions into a single, intuitive platform.

Revenue
$5M
Customers
-
Year founded
2016
Funding
-
Team size
45
Location
United States
Compare Virtuals Protocol with nPlan
12
nPlan

Data Science and Machine Learning Platforms

At nPlan we are building the world's first system to understand construction project planning. We make heavy use of machine learning to forecast outcomes of construction projects before the first shovel hits the ground. Our vision is that all construction projects should be built on time and budget, through a better understanding of plan outcomes. We are bringing certainty of the outcome to the industry, plan first. We will eliminate the crippling effects of poor planning and create a world where we’ve de-risked building infrastructure, enabling the construction of better buildings to help us live better lives.

Revenue
$5M
Customers
-
Year founded
2017
Funding
-
Team size
45
Location
United Kingdom
Compare Virtuals Protocol with Atlas Metrics
13
Atlas Metrics

Data Science and Machine Learning Platforms

The all-in-one platform for ESG compliance and sustainability performance management. Atlas Metrics makes it easy for any organisation to measure and communicate business impact with automations, AI, secure data sharing and advanced analytics.

Revenue
$5M
Customers
-
Year founded
2021
Funding
-
Team size
43
Location
Germany
Compare Virtuals Protocol with :probabl.
14
:probabl.

Data Science and Machine Learning Platforms

Probabl delivers universal technology enabling data scientists and teams to make the most of their data, leveraging the best practice in machine learning and artificial intelligence. Probabl is a spinoff from the Inria research lab and co-founded by experienced tech entrepreneurs and core-developers of scikit-learn. Probabl is the official operator of the scikit-learn brand, and its main contributor. Probabl's core mission is to develop and maintain commons for data science, from scikit-learn to a complete suite of tools and solutions for machine learning and artificial intelligence.

Revenue
$5M
Customers
-
Year founded
2023
Funding
-
Team size
45
Location
France
Compare Virtuals Protocol with :probabl.
15
:probabl.

Data Science and Machine Learning Platforms

Probabl delivers universal technology enabling data scientists and teams to make the most of their data, leveraging the best practice in machine learning and artificial intelligence. Probabl is a spinoff from the Inria research lab and co-founded by experienced tech entrepreneurs and core-developers of scikit-learn. Probabl is the official operator of the scikit-learn brand, and its main contributor. Probabl's core mission is to develop and maintain commons for data science, from scikit-learn to a complete suite of tools and solutions for machine learning and artificial intelligence.

Revenue
$5M
Customers
-
Year founded
2023
Funding
-
Team size
45
Location
France
Compare Virtuals Protocol with Matter B2B
16
Matter B2B

Data Science and Machine Learning Platforms

We are changing the face of B2B sales and marketing by combining the brightest minds with the latest technology – using artificial intelligence and sales 4.0 methodology to deliver transformational results. We transform high impact sales and marketing initiatives by connecting offline and online journeys through the entire buying life cycle, creating a path for high-value interactions in the moments that matter.

Revenue
$5M
Customers
-
Year founded
2020
Funding
-
Team size
33
Location
United Kingdom
Compare Virtuals Protocol with Atlas Metrics
17
Atlas Metrics

Data Science and Machine Learning Platforms

The all-in-one platform for ESG compliance and sustainability performance management. Atlas Metrics makes it easy for any organisation to measure and communicate business impact with automations, AI, secure data sharing and advanced analytics.

Revenue
$5M
Customers
-
Year founded
2021
Funding
-
Team size
43
Location
Germany
Compare Virtuals Protocol with :probabl.
18
:probabl.

Data Science and Machine Learning Platforms

Probabl delivers universal technology enabling data scientists and teams to make the most of their data, leveraging the best practice in machine learning and artificial intelligence. Probabl is a spinoff from the Inria research lab and co-founded by experienced tech entrepreneurs and core-developers of scikit-learn. Probabl is the official operator of the scikit-learn brand, and its main contributor. Probabl's core mission is to develop and maintain commons for data science, from scikit-learn to a complete suite of tools and solutions for machine learning and artificial intelligence.

Revenue
$5M
Customers
-
Year founded
2023
Funding
-
Team size
45
Location
France
Compare Virtuals Protocol with CyberSaint
19
CyberSaint

Data Science and Machine Learning Platforms

Powered by patented AI and actuarial data, CyberSaint's CyberStrong platform enables enterprises to master their cyber risk posture and drive executive alignment by automating compliance and translating cyber risk into financial terms. Fortune 50 titans, MSPs, and high-growth startups alike trade manual compliance assessments for automation, replace black-box scoring with transparent and credible cyber risk quantification, and consolidate point solutions into a single, intuitive platform.

Revenue
$5M
Customers
-
Year founded
2016
Funding
-
Team size
45
Location
United States
Compare Virtuals Protocol with INTELIQUA
20
INTELIQUA

Data Science and Machine Learning Platforms

At INTELIQUA, we are pioneers in AI-powered Marketing Technology, dedicated to revolutionizing the way brands engage with their customers. Our mission is to support businesses drive repeat sales and foster brand loyalty by enhancing Customer Experience through AI and Customer Data Our innovative platform, Eliqua.CX, is designed to empower brands to cultivate robust first-party data, craft personalized data-driven customer experiences, and ultimately drive profitability through the cultivation of customer loyalty. With a global footprint spanning eight countries across two vibrant regions, South-Eastern Europe and the Middle East, we've been privileged to support a diverse array of businesses in their journey towards customer-centric success. At INTELIQUA, we believe that the future of marketing lies at the intersection of cutting-edge technology and genuine human connections, and we're committed to leading this charge

Revenue
$5M
Customers
-
Year founded
-
Funding
-
Team size
45
Location
Greece
Top Virtuals Protocol Alternatives, Competitors & Similar Software | GetLatka