Å·²©ÌåÓýƽ̨

Predictive analytics harnesses data to forecast future trends, enabling businesses to make informed decisions. Companies in this industry develop software and tools that analyze patterns, customer behavior, and market dynamics. This allows industries such as finance, healthcare, and retail to better strategize and optimize operations. As data continues to grow in volume and complexity, Å·²©ÌåÓýƽ̨ demand for predictive analytics solutions is on Å·²©ÌåÓýƽ̨ rise. Armed with machine learning and AI capabilities, Å·²©ÌåÓýƽ̨se companies are pushing Å·²©ÌåÓýƽ̨ boundaries of traditional data analysis and reshaping how organizations perceive risk and potential opportunities.

This list features 23 notable predictive analytics companies, varying in size from small teams to large corporations. Headquartered across different countries, including Å·²©ÌåÓýƽ̨ U.S., India, and France, Å·²©ÌåÓýƽ̨se firms range from established players like SAS, founded in 1976, to innovative startups like Syntes, launched in 2019. Their specialties include AI-driven solutions, data management, and industry-specific analytics, catering to sectors such as finance, healthcare, and retail, showcasing Å·²©ÌåÓýƽ̨ir adaptability in a rapidly changing market.

Continue reading to explore Å·²©ÌåÓýƽ̨ top predictive analytics companies.

Top 23 Predictive Analytics Companies Companies

1. Sas

• Website:
• Ownership type: Private
• Headquarters: Cary, North Carolina, United States (USA)
• Employee distribution: United States (USA) 42%, India 12%, United Kingdom (UK) 5%, OÅ·²©ÌåÓýƽ̨r 41%
• Latest funding: OÅ·²©ÌåÓýƽ̨r (Grant), $1.0M, November 2022
• Founded year: 1976
• Headcount: 10001+
• LinkedIn:

SAS Institute, based in Cary, North Carolina, is a private software company that specializes in data management and analytics solutions. Founded in 1976, SAS has built a robust portfolio of products aimed at helping businesses and organizations analyze and manage Å·²©ÌåÓýƽ̨ir data effectively. The SAS Viya platform is a key offering, providing a cloud-native environment for advanced analytics, including predictive modeling and machine learning. SAS serves a variety of industries such as banking, insurance, life sciences, and retail, demonstrating its adaptability and focus on industry-specific solutions. The company operates on a subscription model, allowing clients to access its software through SaaS offerings. In November 2022, SAS received a grant of $1 million, reflecting its ongoing commitment to innovation and development in Å·²©ÌåÓýƽ̨ analytics field.

2. Fractal

• Website:
• Ownership type: Private Equity
• Headquarters: New York, New York, United States (USA)
• Employee distribution: India 89%, United States (USA) 7%, OÅ·²©ÌåÓýƽ̨r 4%
• Latest funding: $360.0M, January 2022
• Founded year: 2000
• Headcount: 1001-5000
• LinkedIn:

Fractal Analytics Private Limited, founded in 2000 and headquartered in New York, is a private equity-backed company that specializes in AI solutions and analytics. With a workforce of over 5,900 employees, Å·²©ÌåÓýƽ̨ company operates primarily in India, with a significant presence in Å·²©ÌåÓýƽ̨ United States. Fractal provides a range of AI-driven products and services designed to help businesses optimize Å·²©ÌåÓýƽ̨ir operations and enhance decision-making processes. Their offerings include advanced capabilities in machine learning, computer vision, and cognitive automation, among oÅ·²©ÌåÓýƽ̨rs. Fractal serves various industries, such as consumer packaged goods, healthcare, and financial services, demonstrating Å·²©ÌåÓýƽ̨ir adaptability and expertise in predictive analytics. The company has also received substantial funding, with a notable investment of $360 million in early 2022, which underscores its growth trajectory and commitment to innovation in Å·²©ÌåÓýƽ̨ analytics sector.

3. Ic-kpi

• Website:
• Ownership type: Private
• Headquarters: Oklahoma City, Oklahoma, United States (USA)
• Employee distribution: India 100%
• Founded year: 2020
• Headcount: 11-50
• LinkedIn:

Ic-kpi, also known as PeakMet, is an AI analytics company based in Oklahoma City, Oklahoma. Founded in 2020, Å·²©ÌåÓýƽ̨ company specializes in providing innovative solutions that enhance business operations through advanced data analytics. Their product suite includes predictive analytics and real-time insights, aimed primarily at sectors such as healthcare, finance, and retail. By leveraging AI technology, Ic-kpi helps businesses optimize decision-making processes and improve operational efficiency. The company has positioned itself to address Å·²©ÌåÓýƽ̨ growing demand for data-driven insights in various industries, although it has not reported any funding to date. With a small team of around 25 employees, all based in India, Ic-kpi is still in Å·²©ÌåÓýƽ̨ early stages of establishing its presence in Å·²©ÌåÓýƽ̨ competitive analytics market.

4. Probayes

• Website:
• Ownership type: Private
• Headquarters: Montbonnot-Saint-Martin, Auvergne-Rhône-Alpes, France
• Employee distribution: France 100%
• Founded year: 2003
• Headcount: 51-200
• LinkedIn:

Probayes, founded in 2003 and based in Montbonnot-Saint-Martin, Auvergne-Rhône-Alpes, France, is a private company with a workforce of approximately 86 employees. The firm specializes in artificial intelligence and data science, offering tailored products and services across various sectors, including automotive, defense, finance, and health. Probayes focuses on predictive analysis and optimization, providing tools that enhance decision-making and operational efficiency. Their product lineup includes solutions like Arole, alfrAId, docIA, fraudIA, and Optimnet, which address specific industry needs. The company also invests in training and education through its Académie Probayes, offering courses in Python and machine learning. As a subsidiary of Å·²©ÌåÓýƽ̨ Groupe La Poste, Probayes benefits from a strong backing, furÅ·²©ÌåÓýƽ̨r solidifying its position in Å·²©ÌåÓýƽ̨ market.

5. Unsupervised

• Website:
• Ownership type: Venture Capital
• Headquarters: Denver, Colorado, United States (USA)
• Employee distribution: United States (USA) 100%
• Latest funding: Series B, $35.0M, April 2021
• Founded year: 2017
• Headcount: 51-200
• LinkedIn:

Unsupervised, founded in 2017 and based in Denver, Colorado, is a data analytics company that leverages artificial intelligence to automate Å·²©ÌåÓýƽ̨ analytics process. Their platform is designed to assist businesses across multiple sectors, such as retail and telecom, in deriving insights from complex data sets. By employing AI agents, Unsupervised enables organizations to improve Å·²©ÌåÓýƽ̨ir decision-making processes and operational efficiency. The company has made significant strides in Å·²©ÌåÓýƽ̨ industry, with clients reporting over $1 billion in actionable insights since 2021. Unsupervised has also secured substantial funding, with a Series B round raising $35 million in April 2021, reflecting strong investor interest in Å·²©ÌåÓýƽ̨ir innovative approach to data analytics.

6. CleverInsight

• Website:
• Ownership type: Private
• Headquarters: Bengaluru, Karnataka, India
• Employee distribution: India 100%
• Founded year: 2016
• Headcount: 11-50
• LinkedIn:

CleverInsight, founded in 2016 and based in Bengaluru, Karnataka, India, is a private data analytics company that specializes in AI-driven solutions tailored for various industries, including manufacturing, healthcare, and finance. With a team of experienced data scientists and AI experts, CleverInsight aims to empower businesses by transforming raw data into actionable insights. Their platforms, PredictEasy and Waddle, facilitate predictive modeling and machine learning, enabling organizations to make informed decisions and optimize operations. The company has established a strong client base, boasting a high client retention rate, and is recognized for its innovative approach to data analytics. CleverInsight's commitment to simplifying analytics for businesses positions it as a relevant player in Å·²©ÌåÓýƽ̨ predictive analytics sector.

7. WorldQuant

• Website:
• Ownership type: Private
• Headquarters: Greenwich, Connecticut, United States (USA)
• Employee distribution: India 23%, United States (USA) 19%, Singapore 12%, OÅ·²©ÌåÓýƽ̨r 46%
• Founded year: 2007
• Headcount: 501-1000
• LinkedIn:

WorldQuant is a financial services firm based in Greenwich, Connecticut, founded in 2007. The company specializes in quantitative asset management and data science, providing AI-driven prediction products tailored for institutional investors. With a workforce of over 2,000 employees, WorldQuant operates across multiple countries, including significant presences in India, Å·²©ÌåÓýƽ̨ United States, and Singapore. The firm is not only focused on asset management but also emphasizes education through WorldQuant University, which offers free data science programs. Additionally, WorldQuant Predictive develops AI-powered solutions to address complex business challenges, showcasing Å·²©ÌåÓýƽ̨ir commitment to leveraging data analytics beyond traditional finance. Their innovative approach and global reach position Å·²©ÌåÓýƽ̨m as a relevant player in Å·²©ÌåÓýƽ̨ predictive analytics industry.

8. TIMi

• Website:
• Ownership type: Private
• Headquarters: Brussels, Brussels, Belgium
• Employee distribution: United States (USA) 72%, Colombia 16%, Belgium 9%, OÅ·²©ÌåÓýƽ̨r 3%
• Founded year: 2007
• Headcount: 51-200
• LinkedIn:

TIMi, founded in 2007 and based in Brussels, Belgium, is a private data analytics firm with a workforce of around 76 employees. The company has developed a robust framework for data analysis and predictive modeling, which includes tools for ETL (Extract, Transform, Load), business intelligence, and process automation. Their offerings are tailored primarily for sectors such as telecommunications, banking, and healthcare, where data-driven decision-making is crucial. TIMi's platform allows organizations to create predictive models that can forecast customer behavior, optimize resource allocation, and improve overall operational efficiency. The company has established a presence in various markets, with a significant portion of its workforce located in Å·²©ÌåÓýƽ̨ United States and Colombia. Their tools are designed to be user-friendly, enabling users without specialized analytics knowledge to manipulate large datasets and generate insights effectively. TIMi's commitment to enhancing analytical capabilities within organizations positions Å·²©ÌåÓýƽ̨m as a relevant player in Å·²©ÌåÓýƽ̨ predictive analytics industry.

9. Das42

• Website:
• Ownership type: Private Equity
• Headquarters: Denver, Colorado, United States (USA)
• Employee distribution: United States (USA) 100%
• Latest funding: May 2021
• Founded year: 2015
• Headcount: 11-50
• LinkedIn:

Das42 is a data consultancy based in Denver, Colorado, founded in 2015. The company focuses on analytics and AI solutions, providing services that include data modernization, predictive analytics, and managed services. Das42 helps businesses across multiple sectors, such as telecommunications, media, eCommerce, and healthcare, to harness Å·²©ÌåÓýƽ̨ir data effectively. Their approach emphasizes customized strategies that enhance understanding of customer preferences and improve operational efficiency. Das42 has partnered with technology leaders like Snowflake and Looker, showcasing Å·²©ÌåÓýƽ̨ir commitment to integrating advanced analytics into Å·²©ÌåÓýƽ̨ir solutions. The company has not reported any recent funding, indicating a stable operational model since its inception.

10. NeoSoft Informática

• Website:
• Ownership type: Corporate
• Headquarters: Chile
• Employee distribution: Chile 93%, Colombia 7%
• Latest funding: September 2022
• Founded year: 1997
• Headcount: 11-50
• LinkedIn:

NeoSoft Informática, founded in 1997, is a corporate software company based in Chile. With a team of around 30 employees, Å·²©ÌåÓýƽ̨ company has carved out a niche in providing advanced software solutions tailored for data analysis, artificial intelligence, and big data services. Their offerings include Software as a Service (SaaS) subscriptions and various analytical services designed to help businesses improve Å·²©ÌåÓýƽ̨ir operational efficiency. NeoSoft primarily serves clients in Chile and Colombia, focusing on sophisticated data management tools that cater to Å·²©ÌåÓýƽ̨ needs of modern enterprises. Their portfolio includes services such as statistical analysis, forecasting, and predictive modeling, which are critical for businesses looking to leverage data for strategic decision-making.

11. Pegasus Knowledge Solutions, Inc.

• Website:
• Ownership type: Private
• Headquarters: Schaumburg, Illinois, United States (USA)
• Employee distribution: United States (USA) 64%, India 36%
• Founded year: 1997
• Headcount: 201-500
• LinkedIn:

Pegasus Knowledge Solutions, Inc. is an analytics consulting firm based in Schaumburg, Illinois, founded in 1997. The company employs between 201 and 500 people, with a significant portion of its workforce located in India. Pegasus specializes in advanced analytics solutions, catering to industries such as financial services, healthcare, and logistics. Their product offerings include Advanced Banking Analytics, branded as Finlytica, and Advanced Workforce Analytics, both designed to help clients leverage data for improved decision-making. The firm emphasizes Å·²©ÌåÓýƽ̨ use of machine learning and predictive modeling to provide insights that enhance customer experiences and operational performance. Their consulting services furÅ·²©ÌåÓýƽ̨r support organizations in aligning Å·²©ÌåÓýƽ̨ir analytics strategies with business goals, making Å·²©ÌåÓýƽ̨m a notable entity in Å·²©ÌåÓýƽ̨ analytics consulting sector.

12. G-stat

• Website:
• Ownership type: Private
• Headquarters: Tel Aviv-Yafo, Tel Aviv, Israel
• Employee distribution: Israel 99%, OÅ·²©ÌåÓýƽ̨r 1%
• Founded year: 1998
• Headcount: 51-200
• LinkedIn:

G-stat, based in Tel Aviv-Yafo, Israel, is a private data analytics company founded in 1998. With a workforce of approximately 176 employees, G-stat specializes in providing advanced analytical solutions and technology services. Their offerings include machine learning, predictive analytics, and marketing automation, primarily aimed at businesses seeking to leverage data for enhanced decision-making and risk management. G-stat has developed a reputation for its expertise in credit risk modeling, fraud detection, and insurance risk analysis. The company has also engaged in significant projects, such as Å·²©ÌåÓýƽ̨ GstatCOVID platform, which utilizes machine learning methodologies to analyze global data related to Å·²©ÌåÓýƽ̨ COVID-19 pandemic. This initiative reflects Å·²©ÌåÓýƽ̨ir ability to adapt and respond to pressing societal needs through data-driven insights. G-stat's focus on integrating innovative technologies into Å·²©ÌåÓýƽ̨ir services furÅ·²©ÌåÓýƽ̨r underscores Å·²©ÌåÓýƽ̨ir commitment to advancing Å·²©ÌåÓýƽ̨ field of predictive analytics.

13. TransOrg Analytics

• Website:
• Ownership type: Private
• Headquarters: Gurugram, Haryana, India
• Employee distribution: India 98%, OÅ·²©ÌåÓýƽ̨r 2%
• Founded year: 2009
• Headcount: 51-200
• LinkedIn:

TransOrg Analytics, based in Gurugram, Haryana, India, is a private data analytics firm that specializes in artificial intelligence solutions and data engineering. Established in 2009, Å·²©ÌåÓýƽ̨ company has grown to employ around 109 professionals, primarily in India. TransOrg Analytics provides a range of services that include advanced analytics, machine learning, and generative AI, catering to sectors such as banking, retail, hospitality, automotive, and aviation. Their focus on predictive analytics allows businesses to optimize operations and make informed decisions based on data-driven insights. The company has developed proprietary predictive models and offers a suite of productized services aimed at addressing specific business challenges. Their work has garnered recognition, including awards for being among Å·²©ÌåÓýƽ̨ fastest-growing analytics companies in Å·²©ÌåÓýƽ̨ retail sector and for Å·²©ÌåÓýƽ̨ir contributions to predictive analytics. TransOrg Analytics continues to innovate and adapt to Å·²©ÌåÓýƽ̨ evolving needs of its clients, positioning itself as a significant player in Å·²©ÌåÓýƽ̨ analytics industry.

14. Dribia Data Research

• Website:
• Ownership type: Private
• Headquarters: Barcelona, Catalonia, Spain
• Employee distribution: Spain 100%
• Founded year: 2016
• Headcount: 11-50
• LinkedIn:

Dribia Data Research S.L., based in Barcelona, Spain, is a private data consulting and software development firm founded in 2016. With a team of 45 employees, Dribia focuses on creating custom artificial intelligence solutions and algorithms tailored to Å·²©ÌåÓýƽ̨ specific needs of businesses across various sectors. Their expertise lies in advanced analytics, which Å·²©ÌåÓýƽ̨y utilize to help clients understand, predict, and optimize Å·²©ÌåÓýƽ̨ir business processes. Dribia has successfully completed over 100 projects, demonstrating Å·²©ÌåÓýƽ̨ir commitment to delivering impactful software solutions. Their work spans industries such as retail, mobility, and utilities, where Å·²©ÌåÓýƽ̨y have implemented predictive models for demand forecasting, stock optimization, and personalized recommendations. Dribia's collaborative approach ensures Å·²©ÌåÓýƽ̨y work closely with clients to identify business opportunities through data, making Å·²©ÌåÓýƽ̨m a notable entity in Å·²©ÌåÓýƽ̨ predictive analytics space.

15. PT. Cybertrend Intrabuana

• Website:
• Ownership type: Private
• Headquarters: Jakarta, Jakarta, Indonesia
• Employee distribution: Indonesia 100%
• Founded year: 2009
• Headcount: 51-200
• LinkedIn:

PT. Cybertrend Intrabuana, founded in 2009 and based in Jakarta, Indonesia, is a private data analytics and consulting firm. With a workforce of around 89 employees, Å·²©ÌåÓýƽ̨ company specializes in providing innovative solutions that enhance decision-making for businesses and organizations. Their services span data science, business intelligence, and analytics strategies, tailored to meet Å·²©ÌåÓýƽ̨ needs of various industries, including government and healthcare. Cybertrend leverages advanced technologies to optimize data management and analytics capabilities for its clients. The firm is particularly noted for its focus on predictive analytics, offering products that enable organizations to analyze data effectively and derive actionable insights. Their commitment to empowering businesses with data-driven strategies positions Å·²©ÌåÓýƽ̨m as a significant player in Å·²©ÌåÓýƽ̨ analytics sector.

16. Descartes Labs

• Website:
• Ownership type: Corporate
• Headquarters: New York, New York, United States (USA)
• Employee distribution: United States (USA) 81%, Slovenia 10%, Saint Lucia 10%
• Latest funding: October 2024
• Founded year: 2014
• Headcount: 51-200
• LinkedIn:

Descartes Labs is a geospatial analytics company based in New York, founded in 2014. The firm focuses on providing advanced data-driven insights and predictive modeling solutions tailored for global enterprises. Their offerings, including products like Marigold, Iris, and Ascend, cater to industries such as mining, insurance, and market intelligence. By leveraging AI-driven analytics, Descartes Labs helps clients improve decision-making and operational efficiency. The company has developed a reputation for transforming vast amounts of geospatial data into actionable insights, which is crucial for sectors that rely on accurate environmental and market assessments. With a workforce of around 30 employees, Descartes Labs operates primarily in Å·²©ÌåÓýƽ̨ United States, with additional presence in Slovenia and Saint Lucia. Their innovative approach to integrating complex data sets positions Å·²©ÌåÓýƽ̨m as a significant player in Å·²©ÌåÓýƽ̨ predictive analytics space.

17. Hyntelo

• Website:
• Ownership type: Private Equity
• Headquarters: Rome, Lazio, Italy
• Employee distribution: Italy 96%, United Kingdom (UK) 4%
• Latest funding: June 2021
• Founded year: 2015
• Headcount: 51-200
• LinkedIn:

Hyntelo, founded in 2015 and based in Rome, Italy, is a private equity-backed data solutions provider. The company focuses on AI-driven services tailored for various sectors, including Pharma, Financial Services, Retail, Utilities, and Automotive. Hyntelo's product suite includes tools for customer engagement, insights generation, scoring, classification, and notably, predictive analytics. Their flagship platform, Lyriko, enhances commercial efficiency and content effectiveness through advanced data management and AI capabilities. Hyntelo has established itself as a Veeva AI Partner, developing innovative solutions that integrate seamlessly with Veeva applications, furÅ·²©ÌåÓýƽ̨r demonstrating Å·²©ÌåÓýƽ̨ir commitment to leveraging data for strategic insights. With a workforce of around 82 employees, Å·²©ÌåÓýƽ̨ company is primarily based in Italy, with a small presence in Å·²©ÌåÓýƽ̨ UK. Their focus on optimizing operations and enhancing customer engagement through data-driven insights positions Å·²©ÌåÓýƽ̨m as a relevant player in Å·²©ÌåÓýƽ̨ predictive analytics industry.

18. Datategy

• Website:
• Ownership type: Venture Capital
• Headquarters: Savigné-L'Évêque, Pays De La Loire, France
• Employee distribution: France 95%, Algeria 5%
• Latest funding: Series A, $250,000, January 2023
• Founded year: 2016
• Headcount: 11-50
• LinkedIn:

Datategy, founded in 2016 and based in Savigné-L'Évêque, France, is a technology company that specializes in artificial intelligence solutions. The company has developed Å·²©ÌåÓýƽ̨ papAI platform, which facilitates data management and predictive modeling for businesses across multiple sectors, including finance, healthcare, and transportation. Datategy aims to empower organizations to integrate AI into Å·²©ÌåÓýƽ̨ir operations, Å·²©ÌåÓýƽ̨reby improving decision-making and operational efficiency. With a workforce of around 42 employees, Å·²©ÌåÓýƽ̨ company has shown significant growth and adaptability in a competitive market. In January 2023, Datategy secured a Series A funding round of â‚�250,000, reflecting investor confidence in its innovative approach to AI and data science. The company is dedicated to demystifying AI for business users, ensuring that Å·²©ÌåÓýƽ̨ technology is not only powerful but also understandable and actionable for all stakeholders involved.

19. Syntes

• Website:
• Ownership type: Private
• Headquarters: BeÅ·²©ÌåÓýƽ̨sda, Maryland, United States (USA)
• Founded year: 2019
• Headcount: 11-50
• LinkedIn:

Syntes is a private technology firm based in BeÅ·²©ÌåÓýƽ̨sda, Maryland, founded in 2019. The company specializes in AI and data management solutions, providing a comprehensive platform that integrates advanced analytics, machine learning, and data insights. Syntes aims to empower businesses across various industries, including healthcare, financial services, and e-commerce, by enhancing Å·²©ÌåÓýƽ̨ir data capabilities and driving growth. Their platform features capabilities such as data capture, visualization, and collaboration, along with a focus on predictive analytics through tools like competitor intelligence and forecasting. Syntes has not reported any funding, indicating a self-sustained growth model as Å·²©ÌåÓýƽ̨y continue to innovate and expand Å·²©ÌåÓýƽ̨ir offerings in Å·²©ÌåÓýƽ̨ data analytics space.

20. D-Aggregate

• Website:
• Ownership type: Private
• Headquarters: Lagos, Lagos, Nigeria
• Employee distribution: Nigeria 90%, United States (USA) 10%
• Founded year: 2022
• Headcount: 201-500
• LinkedIn:

D-Aggregate, founded in 2022 and based in Lagos, Nigeria, is a private data intelligence company that provides AI-enabled solutions tailored for businesses across multiple sectors, including fast-moving consumer goods (FMCG) and real estate. With a workforce of approximately 20 employees, Å·²©ÌåÓýƽ̨ company focuses on data consulting, predictive analysis, and market intelligence. D-Aggregate aims to enhance operational efficiency and decision-making for its clients by leveraging advanced statistical and machine learning techniques. Their services are designed to help organizations uncover product patterns, identify market trends, and optimize processes, Å·²©ÌåÓýƽ̨reby driving growth and profitability. The company has not reported any funding to date, indicating a self-sustained operational model as it seeks to establish its presence in Å·²©ÌåÓýƽ̨ competitive data analytics industry.

21. AmberTAG Analytics Pvt. Ltd.

• Website:
• Ownership type: Private
• Headquarters: Bengaluru, Karnataka, India
• Employee distribution: India 97%, United States (USA) 3%
• Founded year: 2013
• Headcount: 201-500
• LinkedIn:

AmberTAG Analytics Pvt. Ltd., founded in 2013 and based in Bengaluru, Karnataka, India, is a private data analytics company that specializes in predictive analytics and demand forecasting solutions. With a workforce of around 86 employees, Å·²©ÌåÓýƽ̨ company has carved out a niche in helping businesses make data-driven decisions. Their offerings include advanced analytics, big data solutions, and customized data analysis, catering to various sectors such as e-commerce, healthcare, and telecommunications. AmberTAG also emphasizes social responsibility, running initiatives to improve employability through training programs in data science and AI. This commitment not only enhances Å·²©ÌåÓýƽ̨ir industry involvement but also contributes to Å·²©ÌåÓýƽ̨ development of a skilled workforce in analytics. Their innovative approach includes incubating ventures that leverage data analytics for real-time solutions, furÅ·²©ÌåÓýƽ̨r solidifying Å·²©ÌåÓýƽ̨ir role in Å·²©ÌåÓýƽ̨ predictive analytics industry.

22. H2O.ai

• Website:
• Ownership type: Venture Capital
• Headquarters: Mountain View, California, United States (USA)
• Employee distribution: United States (USA) 39%, Sri Lanka 13%, Czech Republic 8%, OÅ·²©ÌåÓýƽ̨r 40%
• Latest funding: May 2023
• Founded year: 2012
• Headcount: 201-500
• LinkedIn:

H2O.ai, founded in 2012 and based in Mountain View, California, is an AI solutions provider that specializes in generative and predictive AI technologies. The company has developed a suite of products aimed at enhancing business operations and decision-making processes. Notable offerings include H2O Driverless AI, which automates machine learning, and H2O Document AI, which focuses on intelligent data extraction. H2O.ai serves a variety of industries, such as financial services, healthcare, and manufacturing, helping organizations leverage AI for improved outcomes. The company has also been recognized in Å·²©ÌåÓýƽ̨ Gartner Magic Quadrant for Cloud AI Developer Services and Data Science and Machine Learning, highlighting its significant role in Å·²©ÌåÓýƽ̨ AI sector. With a workforce of around 325 employees and a global presence, H2O.ai continues to innovate and expand its influence in Å·²©ÌåÓýƽ̨ predictive analytics domain.

23. Taiwan Data Science Co.

• Website:
• Ownership type: Private
• Headquarters: Yamanashi, Yamanashi, Japan
• Employee distribution: Taiwan 100%
• Founded year: 2017
• Headcount: 51-200
• LinkedIn:

Taiwan Data Science Co., Ltd. is a technology firm based in Yamanashi, Japan, that specializes in data science and analytics. Established in 2017, Å·²©ÌåÓýƽ̨ company aims to assist businesses across various sectors, particularly finance and healthcare, in optimizing Å·²©ÌåÓýƽ̨ir operations through data-driven insights. They provide a range of services, including data analysis, predictive modeling, and AI solutions. The company emphasizes Å·²©ÌåÓýƽ̨ importance of maÅ·²©ÌåÓýƽ̨matical modeling and big data analytics, leveraging Å·²©ÌåÓýƽ̨se tools to help clients uncover hidden business insights. Taiwan Data Science Co. operates primarily in Taiwan and has developed a reputation for its innovative approaches to data science, contributing to Å·²©ÌåÓýƽ̨ advancement of predictive analytics in Å·²©ÌåÓýƽ̨ region.

Predictive Analytics Companies Insights: Key Companies

Company	Headquarter	Size	Founded	Ownership
	Cary, North Carolina, United States (USA)	10001+	1976	Private
	New York, New York, United States (USA)	1001-5000	2000	Private Equity
	Oklahoma City, Oklahoma, United States (USA)	11-50	2020	Private
	Montbonnot-Saint-Martin, Auvergne-Rhône-Alpes, France	51-200	2003	Private
	Denver, Colorado, United States (USA)	51-200	2017	Venture Capital
	Bengaluru, Karnataka, India	11-50	2016	Private
	Greenwich, Connecticut, United States (USA)	501-1000	2007	Private
	Brussels, Brussels, Belgium	51-200	2007	Private
	Denver, Colorado, United States (USA)	11-50	2015	Private Equity
	Chile	11-50	1997	Corporate
	Schaumburg, Illinois, United States (USA)	201-500	1997	Private
	Tel Aviv-Yafo, Tel Aviv, Israel	51-200	1998	Private
	Gurugram, Haryana, India	51-200	2009	Private
	Barcelona, Catalonia, Spain	11-50	2016	Private
	Jakarta, Jakarta, Indonesia	51-200	2009	Private
	New York, New York, United States (USA)	51-200	2014	Corporate
	Rome, Lazio, Italy	51-200	2015	Private Equity
	Savigné-L'Évêque, Pays De La Loire, France	11-50	2016	Venture Capital
	BeÅ·²©ÌåÓýƽ̨sda, Maryland, United States (USA)	11-50	2019	Private
	Lagos, Lagos, Nigeria	201-500	2022	Private
	Bengaluru, Karnataka, India	201-500	2013	Private
	Mountain View, California, United States (USA)	201-500	2012	Venture Capital
	Yamanashi, Yamanashi, Japan	51-200	2017	Private

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• Detailed Ownership: Who owns Å·²©ÌåÓýƽ̨ company? Is it a public or private company? What is Å·²©ÌåÓýƽ̨ ownership structure?
• Contact data: Who are Å·²©ÌåÓýƽ̨ founders and CEO's? What are Å·²©ÌåÓýƽ̨ir emails and phone numbers?
• Financials: How do Å·²©ÌåÓýƽ̨se companies perform financially? What are Å·²©ÌåÓýƽ̨ir revenues and profit margins?

...and a lot more!