Mostly AI
Founded Year
2017Stage
Series B | AliveTotal Raised
$31.14MLast Raised
$25M | 4 yrs agoMosaic Score The Mosaic Score is an algorithm that measures the overall financial health and market potential of private companies.
-121 points in the past 30 days
About Mostly AI
Mostly AI specializes in creating synthetic data within the technology and data security sectors. The company offers a platform and an open-source Software Development Kit (SDK) that enables organizations to generate, analyze, and share synthetic data, allowing for data insights and collaboration. Mostly AI's solutions support applications such as machine learning (AI) machine learning (ML) model training, software testing, and data sharing, while addressing privacy regulations. It was founded in 2017 and is based in Vienna, Austria.
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Mostly AI's Product Videos
ESPs containing Mostly AI
The ESP matrix leverages data and analyst insight to identify and rank leading companies in a given technology landscape.
The synthetic training data — tabular & text market focuses on identifying key patterns in tabular and text-based datasets — such as patient health records or customer purchase histories — to generate new, anonymous datasets that retain the key properties of the originals. The anonymity of synthetic data enables secure and compliant collaboration. The market is driven by the increasing demand for …
Mostly AI named as Challenger among 13 other companies, including Tonic AI, K2View, and Facteus.
Mostly AI's Products & Differentiators
MOSTLY AI Synthetic Data Platform
The MOSTLY AI synthetic data platform enables organizations to upload single tables to generate synthetic subjects or multiple tables to generate synthetic behavioral data, such as transactions, customer journeys, or other sequential data. Users can also create synthetic data from all common databases. The generation process is fully automated. An AI model is trained to retain the statistical features of the uploaded data and generates as many synthetic subjects as wished. Each generated synthetic data set comes with a privacy and accuracy report, providing actionable insight into the quality of the generated synthetic data. MOSTLY AI’s enterprise software platform can be installed on-premise or in a private cloud.
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Research containing Mostly AI
Get data-driven expert analysis from the CB Insights Intelligence Unit.
CB Insights Intelligence Analysts have mentioned Mostly AI in 5 CB Insights research briefs, most recently on Jun 25, 2024.
Feb 20, 2024
The AI training data market map
Sep 29, 2023
The machine learning operations (MLOps) market map
Sep 6, 2023
The data security market map
Expert Collections containing Mostly AI
Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces.
Mostly AI is included in 3 Expert Collections, including Artificial Intelligence (AI).
Artificial Intelligence (AI)
16,627 items
Companies developing artificial intelligence solutions, including cross-industry applications, industry-specific products, and AI infrastructure solutions.
Cybersecurity
223 items
AI 100 (All Winners 2018-2025)
100 items
Mostly AI Patents
Mostly AI has filed 1 patent.
The 3 most popular patent topics include:
- artificial neural networks
- classification algorithms
- data management
Application Date | Grant Date | Title | Related Topics | Status |
|---|---|---|---|---|
10/5/2021 | Machine learning, Artificial neural networks, Granularity of materials, Classification algorithms, Data management | Application |
Application Date | 10/5/2021 |
|---|---|
Grant Date | |
Title | |
Related Topics | Machine learning, Artificial neural networks, Granularity of materials, Classification algorithms, Data management |
Status | Application |
Latest Mostly AI News
Oct 31, 2025
Expected to grow to $2.89 billion in 2029 at a compound annual growth rate (CAGR) of 22.8%” — The Business Research Company LONDON, GREATER LONDON, UNITED KINGDOM, October 31, 2025 / EINPresswire.com / -- "Get 20% Off All Global Market Reports With Code ONLINE20 – Stay Ahead Of Trade Shifts, Macroeconomic Trends, And Industry Disruptors What Is The Synthetic-Data Visualization Display Market Size And Growth? There has been a vigorous expansion in the synthetic-data visualization display market in the recent past. It is projected to escalate from $1.03 billion in 2024 to $1.27 billion in 2025, growing at a compound annual growth rate (CAGR) of 23.2%. The growth during the historical period is primarily due to the amplifying acceptance of cloud-based data storage, the surge in demand for interactive dashboards, an influx in businesses' dependence on data-driven solutions, an increase in both structured and unstructured data volume, and an escalating necessity for real-time analytics. The market for synthetic-data visualization displays is projected to undergo considerable growth in the coming duration, growing to $2.89 billion in 2029 with a CAGR of 22.8%. This anticipated growth within the predictive timeline can be linked to increased investments in AI algorithms, a surge in the adoption of hybrid data platforms, a heightened demand for predictive analytics capabilities, an uptick in the usage of automation in data visualization, and a growing emphasis on personalized data insights. Key trends foreseen within the predictive timeline encompass advancements in synthetic-data generation methods, innovations in interactive visualization tools, the amalgamation of AI with visualization platforms, creation of real-time analytics dashboards, and progress in augmented and virtual reality visualization displays. Download a free sample of the synthetic-data visualization display market report: https://www.thebusinessresearchcompany.com/sample.aspx?id=28849&type=smp What Are The Current Leading Growth Drivers For Synthetic-Data Visualization Display Market? The accelerated digital transformation of businesses is anticipated to fuel the expansion of the synthetic-data visualization display industry. The process of digitalizing businesses encompasses the integration of digital technology throughout operations, enhancing efficiency, productivity, and overall value proposition. The rise in such digitization reflects companies' push towards greater operational effectiveness using digital tools that automate manual processes, reduce mistakes, and expedite decision-making. Such digital reshaping benefits from synthetic-data visualization display, which produces and visualizes simulated datasets. This assists in hastening data-oriented decisions, strengthening predictive analytics, and refining operations without solely relying on real-world data. For example, a study by the European Investment Bank in May 2024 stated that as of 2022, only 30% of microenterprises in the European Union had put in place plans for improved digitization, a contrast to the 63% of larger corporations. Consequently, this rapid digitalization within enterprises is fueling the growth of the synthetic-data visualization display market. Which Companies Are Currently Leading In The Synthetic-Data Visualization Display Market? Major players in the Synthetic-Data Visualization Display Global Market Report 2025 include: • Amazon Web Services Inc. • Siemens AG • Nvidia Corp. • Zoho Corporation • TIBCO Software Inc. • ThoughtSpot Inc. • Domo Inc. • H2O.ai Inc. • Tonic.ai • MOSTLY AI. What Are The Prominent Trends In The Synthetic-Data Visualization Display Market? Prominent players in the synthetic-data visualization industry are honing their focus on creating groundbreaking solutions like agentic AI to automate the preparation and interpretation of synthetic datasets, resulting in better data-driven insights and increased operational productivity. Agentic AI refers to AI platforms capable of making self-governing decisions, allowing them to undertake tasks, solve issues, and engage with environments or data independently with minimum human oversight. For example, in October 2024, Tata Consultancy Services, an IT firm based in India, introduced a designated NVIDIA business unit within its AI.Cloud division to expedite AI acceptance for clients from various sectors. The division of AI.Cloud is designed to fast-track AI acceptance across a variety of industries by merging TCS's extensive domain expertise with NVIDIA's advanced AI technologies. This unit furnishes tailor-made, industry-specific AI solutions that allow companies to innovate quicker, enhance operations, and significantly reduce expenses. It dedicates itself to enabling scalable, contextually-aware AI transformation employing advanced NVIDIA platforms and TCS's unique frameworks to achieve smarter, more productive business results. How Is The Synthetic-Data Visualization Display Market Segmented? The synthetic-data visualization display market covered in this report is segmented as 1) By Component: Software, Hardware, Services 2) By Deployment Mode: On-Premises, Cloud 3) By Application: Healthcare, Finance, Retail, Automotive, Information Technology And Telecommunications, Education, Other Application Types 4) By End-User: Enterprises, Research Institutes, Government, Other End-User Types Subsegments: 1) By Software: Data Analytics Software, Visualization Software, Simulation Software 2) By Hardware: Servers, Workstations, Edge Devices 3) By Services: Consulting, Implementation, Support And Maintenance View the full synthetic-data visualization display market report: https://www.thebusinessresearchcompany.com/report/synthetic-data-visualization-display-global-market-report Which Is The Dominating Region For The Synthetic-Data Visualization Display Market? In 2024, North America held the top position in the Synthetic-Data Visualization Display Global Market. The report in question forecasts its growth status for 2025. It delves into several regions including Asia-Pacific, Western Europe, Eastern Europe, North America, South America, the Middle East, and Africa. Browse Through More Reports Similar to the Global Synthetic-Data Visualization Display Market 2025, By The Business Research Company Data Visualization Tools Global Market Report 2025 https://www.thebusinessresearchcompany.com/report/data-visualization-tools-global-market-report Advanced Visualization Global Market Report 2025 https://www.thebusinessresearchcompany.com/report/advanced-visualization-global-market-report Biological Data Visualization Global Market Report 2025 https://www.thebusinessresearchcompany.com/report/biological-data-visualization-global-market-report Speak With Our Expert: Saumya Sahay Americas +1 310-496-7795 Asia +44 7882 955267 & +91 8897263534 Europe +44 7882 955267 Email: saumyas@tbrc.info The Business Research Company - www.thebusinessresearchcompany.com Follow Us On: • LinkedIn: https://in.linkedin.com/company/the-business-research-company Oliver Guirdham The Business Research Company info@tbrc.info Visit us on social media: LinkedIn Facebook X Legal Disclaimer: EIN Presswire provides this news content "as is" without warranty of any kind. We do not accept any responsibility or liability for the accuracy, content, images, videos, licenses, completeness, legality, or reliability of the information contained in this article. If you have any complaints or copyright issues related to this article, kindly contact the author above.
Mostly AI Frequently Asked Questions (FAQ)
When was Mostly AI founded?
Mostly AI was founded in 2017.
Where is Mostly AI's headquarters?
Mostly AI's headquarters is located at Am Belvedere 10, Vienna.
What is Mostly AI's latest funding round?
Mostly AI's latest funding round is Series B.
How much did Mostly AI raise?
Mostly AI raised a total of $31.14M.
Who are the investors of Mostly AI?
Investors of Mostly AI include 42CAP, Earlybird Venture, Molten Ventures, Citi Ventures, Startup Collider by PwC and 14 more.
Who are Mostly AI's competitors?
Competitors of Mostly AI include Tonic AI, Synthesized, Aindo, Gretel, Smart Data Foundry and 7 more.
What products does Mostly AI offer?
Mostly AI's products include MOSTLY AI Synthetic Data Platform.
Who are Mostly AI's customers?
Customers of Mostly AI include Humana and Telefonica.
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Compare Mostly AI to Competitors
YData is a company that provides services related to data quality and management for data science and AI development. Their main offerings include synthetic data generation, data profiling, and preparation pipelines. YData's solutions are utilized by sectors such as financial services, telecommunications, healthcare, and retail. It was founded in 2019 and is based in Seattle, Washington.
Tonic AI focuses on synthetic data generation and privacy compliance within the software and AI development sectors. The company provides products for the creation, management, and de-identification of test data to support application development, testing, and AI model training while adhering to data privacy regulations. Tonic AI's solutions serve various sectors including financial services and healthcare. It was founded in 2018 and is based in San Francisco, California.
Synthesized provides test automation solutions within the software development and testing industry. The company offers a platform that automates test data generation, provisioning, and execution, aimed at application testing. Synthesized serves sectors that require testing and compliance, including banking, financial services, healthcare, and enterprise applications. It was founded in 2018 and is based in London, United Kingdom.
Betterdata provides data privacy solutions. It offers data privacy solutions, including product development and testing, data collaborations, data privacy verification, imbalance mitigation, and more. The company was founded in 2021 and is based in Singapore.
CUBIG focuses on artificial intelligence technology and data security solutions in the AI and data security sectors. The company offers services including synthetic data generation, data integration, and a marketplace for synthetic datasets, aimed at maintaining data privacy. Its main clients are sectors that need secure and private data for AI applications, such as manufacturing, finance, and healthcare. The company was founded in 2021 and is based in Seoul, South Korea.
Dedomena operates in the fields of artificial intelligence and data science, focusing on synthetic data generation, data anonymization, and AI model enhancement. The company provides services that help businesses handle GDPR-compliant data. Dedomena's platform serves various industries, including banking and healthcare, by providing functionalities related to data management. It was founded in 2021 and is based in Madrid, Spain.
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