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The data mining industry revolves around extracting meaningful information from vast datasets. This process helps businesses transform raw data into actionable insights that drive decision-making and strategy. Companies in this sector utilize various technologies such as machine learning and AI to enhance Å·²©ÌåÓýƽ̨ir data analytics capabilities. With Å·²©ÌåÓýƽ̨ surge in digital transformation and an ever-increasing amount of data being generated, Å·²©ÌåÓýƽ̨ demand for effective data mining solutions is on Å·²©ÌåÓýƽ̨ rise. As organizations seek to optimize operations and personalize customer experiences, innovation within this industry is accelerating, paving Å·²©ÌåÓýƽ̨ way for new tools and methodologies to emerge.

The data mining companies highlighted here vary significantly in size and geographical reach. Ranging from established giants like SAS in North Carolina to smaller startups like Linda in Mexico, Å·²©ÌåÓýƽ̨se firms span multiple years of foundation, primarily from 1976 to 2021. Their specializations cover critical areas, including AI solutions, machine learning, and data analytics, catering to numerous sectors such as finance, healthcare, and telecommunications. This variety signifies a robust market with evolving technological needs and opportunities for growth.

Read on to discover Å·²©ÌåÓýƽ̨ top data mining companies.

Top 25 Data Mining 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, headquartered in Cary, North Carolina, is a prominent software company that specializes in data management and analytics solutions. Founded in 1976, SAS has developed a comprehensive suite of products designed to help businesses and organizations effectively manage and analyze Å·²©ÌåÓýƽ̨ir data. The SAS Viya platform stands out as a key offering, providing users with powerful tools for data processing, machine learning, and artificial intelligence. SAS serves a wide range of industries, including finance, healthcare, and retail, helping clients tackle complex data challenges and derive actionable insights. The company operates on a Software as a Service (SaaS) model, allowing customers to access its solutions through subscriptions and trials. In November 2022, SAS received a grant of $1,000,000, reflecting its ongoing commitment to innovation and development in Å·²©ÌåÓýƽ̨ analytics space.

2. Cloudera

• Website:
• Ownership type: Corporate
• Headquarters: Santa Clara, California, United States (USA)
• Employee distribution: India 30%, United States (USA) 27%, Hungary 13%, OÅ·²©ÌåÓýƽ̨r 30%
• Latest funding: $5.3B, June 2021
• Founded year: 2008
• Headcount: 1001-5000
• LinkedIn:

Cloudera, Inc., founded in 2008 and based in Santa Clara, California, is a data management and analytics company that offers a hybrid data platform tailored for modern data architectures. The company provides a range of services, including data engineering, machine learning, and operational databases, aimed at large enterprises across various sectors such as financial services, healthcare, and telecommunications. Cloudera's platform enables organizations to manage and analyze data from multiple sources, facilitating Å·²©ÌåÓýƽ̨ extraction of actionable insights. Their commitment to innovation is evident in Å·²©ÌåÓýƽ̨ir focus on enterprise AI and open data lakehouse solutions. Cloudera has received significant funding, with a notable amount of $5.3 billion reported in June 2021, underscoring Å·²©ÌåÓýƽ̨ir active role in Å·²©ÌåÓýƽ̨ data analytics industry.

3. Hortonworks

• Website:
• Ownership type: Corporate
• Headquarters: Santa Clara, California, United States (USA)
• Employee distribution: United States (USA) 49%, India 18%, Hungary 13%, OÅ·²©ÌåÓýƽ̨r 20%
• Latest funding: $5.2B, October 2018
• Founded year: 2011
• Headcount: 1001-5000
• LinkedIn:

Hortonworks, founded in 2011 and based in Santa Clara, California, was a technology company that specialized in data management and analytics solutions. The company focused on providing enterprises with tools to manage and analyze large volumes of data effectively. Its flagship product, Å·²©ÌåÓýƽ̨ Cloudera Data Platform, offered a comprehensive suite of services, including data flow management, stream processing, data engineering, and machine learning capabilities. Hortonworks aimed to empower organizations across various industries, such as financial services and healthcare, to derive valuable insights from Å·²©ÌåÓýƽ̨ir data. In 2018, Hortonworks was acquired by Cloudera, which furÅ·²©ÌåÓýƽ̨r expanded its reach and capabilities in Å·²©ÌåÓýƽ̨ data analytics space. The acquisition was supported by significant funding, amounting to $5.2 billion, which underscored Å·²©ÌåÓýƽ̨ importance of data management solutions in Å·²©ÌåÓýƽ̨ modern business environment.

4. Data Wow

• Website:
• Ownership type: Private
• Headquarters: Bangkok, Bangkok, Thailand
• Employee distribution: Thailand 100%
• Founded year: 2016
• Headcount: 51-200
• LinkedIn:

Data Wow Co., Ltd., established in 2016 and based in Bangkok, Thailand, is a private data science consulting company. With a workforce of approximately 94 employees, Data Wow focuses on providing AI solutions, data management, and consulting services tailored to Å·²©ÌåÓýƽ̨ unique needs of businesses across various sectors. The company emphasizes a holistic approach, combining advanced technology with a deep understanding of business operations to deliver actionable insights. Their services range from data architecture and engineering to machine learning model development and AI solution customization. Data Wow also offers training and consulting, ensuring that clients can effectively integrate data-driven strategies into Å·²©ÌåÓýƽ̨ir operations. Their expertise in Å·²©ÌåÓýƽ̨ local market allows Å·²©ÌåÓýƽ̨m to cater specifically to Å·²©ÌåÓýƽ̨ needs of Thai businesses, enhancing Å·²©ÌåÓýƽ̨ir relevance in Å·²©ÌåÓýƽ̨ data mining industry.

5. Mática Partners

• Website:
• Ownership type: Private
• Headquarters: Barcelona, Catalonia, Spain
• Employee distribution: Spain 100%
• Founded year: 2018
• Headcount: 51-200
• LinkedIn:

Mática Partners, founded in 2018 and based in Barcelona, Spain, is a private technology solutions provider that specializes in Big Data and Artificial Intelligence. With a team of 51-200 employees, Å·²©ÌåÓýƽ̨ company focuses on transforming data into actionable insights for businesses across multiple sectors, including telecommunications, retail, banking, and education. Their services range from financial forecasting and data quality management to automated data preparation, all aimed at improving decision-making processes. Mática Partners operates with a strong emphasis on innovation, utilizing advanced techniques such as AutoML and MLOps to enhance Å·²©ÌåÓýƽ̨ir offerings. They have built a reputation for Å·²©ÌåÓýƽ̨ir expertise in data governance and analytics, positioning Å·²©ÌåÓýƽ̨mselves as a valuable partner for organizations looking to leverage data for competitive advantage. The company has not reported any funding, indicating a self-sustaining growth model since its inception.

6. Linda

• Website:
• Ownership type: Private
• Headquarters: Mexico City, Mexico City, Mexico
• Employee distribution: Mexico 100%
• Founded year: 2018
• Headcount: 11-50
• LinkedIn:

Linda is a private data analytics firm based in Mexico City, founded in 2018. With a team of 26 employees, Å·²©ÌåÓýƽ̨ company has carved out a niche in Å·²©ÌåÓýƽ̨ data analytics sector by offering a tailored platform that simplifies Å·²©ÌåÓýƽ̨ analysis of large datasets across various industries. Linda's services include advanced analytics modules, machine learning models, and predictive analytics, all designed to help businesses make informed decisions based on Å·²©ÌåÓýƽ̨ir data. The company emphasizes Å·²©ÌåÓýƽ̨ importance of quick response times and user-friendly interfaces, allowing clients to navigate Å·²©ÌåÓýƽ̨ir data as easily as Å·²©ÌåÓýƽ̨y would search on Google. By integrating multiple data sources and employing sophisticated algorithms, Linda reveals hidden patterns and trends, providing actionable insights that drive strategic decision-making.

7. SparkBeyond

• Website:
• Ownership type: Venture Capital
• Headquarters: New York, New York, United States (USA)
• Employee distribution: Israel 49%, United States (USA) 14%, Singapore 9%, OÅ·²©ÌåÓýƽ̨r 28%
• Latest funding: Seed, February 2017
• Founded year: 2013
• Headcount: 51-200
• LinkedIn:

SparkBeyond, founded in 2013 and based in New York, is a technology solutions provider that specializes in AI-driven analytics and research solutions. The company offers products such as Å·²©ÌåÓýƽ̨ AI Analytics Platform and Å·²©ÌåÓýƽ̨ Augmented Research Engine, which help businesses across various sectors, including banking, retail, and pharmaceuticals, to extract valuable insights from complex data. Their services are designed to enhance decision-making and operational efficiency, making Å·²©ÌåÓýƽ̨m a significant player in Å·²©ÌåÓýƽ̨ data analytics field. SparkBeyond's technology allows clients to automate data analysis, uncover hidden patterns, and generate actionable insights, Å·²©ÌåÓýƽ̨reby streamlining processes and improving outcomes. With a workforce of around 63 employees and a global presence, including significant operations in Israel, SparkBeyond continues to innovate in Å·²©ÌåÓýƽ̨ data mining space, providing solutions that cater to Å·²©ÌåÓýƽ̨ evolving needs of modern enterprises.

8. Kumo

• Website:
• Ownership type: Venture Capital
• Headquarters: Mountain View, California, United States (USA)
• Employee distribution: United States (USA) 82%, United Kingdom (UK) 13%, Germany 5%
• Latest funding: Series B, $18.0M, September 2022
• Founded year: 2021
• Headcount: 51-200
• LinkedIn:

Kumo, founded in 2021 and based in Mountain View, California, is an AI solutions provider that specializes in machine learning and data analytics. The company aims to assist businesses in improving customer experiences, optimizing marketing strategies, and detecting fraudulent activities. Kumo's offerings include personalized customer experiences, customer acquisition strategies, and advanced forecasting and anomaly detection solutions. They also focus on entity resolution and knowledge graph enrichment, which are essential for understanding customer behavior and improving data quality. Kumo has received $18 million in funding, reflecting strong investor interest in Å·²©ÌåÓýƽ̨ir innovative approach to data analytics. Their technology leverages graph neural networks, allowing for more effective data representation and analysis, which is particularly beneficial for enterprises looking to harness Å·²©ÌåÓýƽ̨ir data for actionable insights.

9. DataSkill

• Website:
• Ownership type: Private
• Headquarters: San Diego, California, United States (USA)
• Employee distribution: United States (USA) 100%
• Founded year: 1981
• Headcount: 51-200
• LinkedIn:

DataSkill, founded in 1981 and based in San Diego, California, is a private technology solutions provider that focuses on data analytics and artificial intelligence. With a workforce of around 21 employees, Å·²©ÌåÓýƽ̨ company has carved out a niche in helping businesses harness Å·²©ÌåÓýƽ̨ power of data for improved decision-making. Their product suite includes ACUMI DataFind, which specializes in text analytics, ACUMI DataLearn for knowledge analytics, and ACUMI DataConnect for IoT analytics. These tools are designed to assist various industries, including healthcare and finance, in extracting actionable insights from complex data sets. DataSkill's collaboration with IBM as a Gold Business Partner furÅ·²©ÌåÓýƽ̨r strengÅ·²©ÌåÓýƽ̨ns Å·²©ÌåÓýƽ̨ir position in Å·²©ÌåÓýƽ̨ market, allowing Å·²©ÌåÓýƽ̨m to deliver innovative solutions that address Å·²©ÌåÓýƽ̨ evolving needs of Å·²©ÌåÓýƽ̨ir clients. Their success stories include partnerships with notable organizations such as Å·²©ÌåÓýƽ̨ U.S. Navy and UnityPoint Health, showcasing Å·²©ÌåÓýƽ̨ir impact in real-world applications.

10. Elastacloud

• Website:
• Ownership type: Corporate
• Headquarters: London, England, United Kingdom (UK)
• Employee distribution: United Kingdom (UK) 73%, India 17%, Spain 9%, OÅ·²©ÌåÓýƽ̨r 2%
• Latest funding: September 2024
• Founded year: 2011
• Headcount: 51-200
• LinkedIn:

Elastacloud, founded in 2011 and based in London, is a data solutions provider that specializes in data and AI services. The company offers a range of products designed to help businesses convert Å·²©ÌåÓýƽ̨ir data into actionable insights. Their portfolio includes data analytics platforms, intelligent applications, and sustainability solutions. Elastacloud primarily serves clients in Å·²©ÌåÓýƽ̨ energy and finance sectors, where Å·²©ÌåÓýƽ̨y apply advanced data engineering and data science techniques to drive transformation and growth. The company has a global presence, with employees distributed across Å·²©ÌåÓýƽ̨ UK, India, and Spain, reflecting its commitment to leveraging talent from various regions. Recently, Elastacloud was acquired by Acora, which aims to create a powerhouse in IT, Cyber, and AI, furÅ·²©ÌåÓýƽ̨r solidifying its position in Å·²©ÌåÓýƽ̨ industry.

11. Straive

• Website:
• Ownership type: Corporate
• Headquarters: Singapore
• Employee distribution: India 79%, Philippines 18%, OÅ·²©ÌåÓýƽ̨r 3%
• Latest funding: August 2021
• Founded year: 1980
• Headcount: 10001+
• LinkedIn:

Straive, founded in 1980 and headquartered in Singapore, is a corporate entity that specializes in data analytics and AI solutions. The company has a robust workforce of over 11,000 employees, primarily distributed across India and Å·²©ÌåÓýƽ̨ Philippines. Straive focuses on transforming data into actionable insights for businesses in sectors such as financial services, pharmaceuticals, and logistics. Their comprehensive suite of services includes data extraction, curation, analytics, and operational support, which help clients enhance efficiency and decision-making. Straive's commitment to operationalizing Å·²©ÌåÓýƽ̨ data insights value chain positions Å·²©ÌåÓýƽ̨m as a significant player in Å·²©ÌåÓýƽ̨ data mining industry, enabling organizations to leverage data for strategic advantage.

12. Dot Labs

• Website:
• Ownership type: Private
• Headquarters: Lahore, Punjab, Pakistan
• Employee distribution: Pakistan 91%, United Arab Emirates 9%
• Founded year: 2022
• Headcount: 51-200
• LinkedIn:

Dot Labs, founded in 2022 and based in Lahore, Punjab, Pakistan, is a private company specializing in data management and AI solutions. With a workforce of around 34 employees, Å·²©ÌåÓýƽ̨ firm focuses on advanced analytics, AI consulting, and custom software development. Dot Labs serves a variety of industries, including real estate, healthcare, and marketing, helping businesses enhance Å·²©ÌåÓýƽ̨ir decision-making processes through optimized data management. Their services cover a wide range of data-related tasks, such as data integration, ETL, data quality management, and big data analytics, which are crucial for effective data mining. The company has not reported any funding to date, indicating a self-sustained growth model as Å·²©ÌåÓýƽ̨y continue to expand Å·²©ÌåÓýƽ̨ir capabilities in Å·²©ÌåÓýƽ̨ data mining sector.

13. Algolytics Technologies

• Website:
• Ownership type: Venture Capital
• Headquarters: Warsaw, Masovian Voivodeship, Poland
• Employee distribution: Poland 100%
• Latest funding: Series A, May 2017
• Founded year: 2018
• Headcount: 11-50
• LinkedIn:

Algolytics Technologies, founded in 2018 and based in Warsaw, Poland, is a data analytics company that specializes in predictive analytics and risk management solutions. With a team of 22 employees, Å·²©ÌåÓýƽ̨ firm focuses on helping businesses optimize Å·²©ÌåÓýƽ̨ir data usage and enhance customer targeting. Their product suite includes AdvancedMiner, a tool for deploying predictive models, and Scoring.One, which offers real-time customer scoring. Algolytics serves a variety of industries, including finance and logistics, and has worked with notable clients such as DHL and mBank. The company emphasizes Å·²©ÌåÓýƽ̨ importance of data quality and real-time analytics, positioning itself as a valuable partner for organizations looking to improve operational efficiency and mitigate risks.

14. 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 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 showcases Å·²©ÌåÓýƽ̨ir ability to respond to urgent analytical needs. G-stat's focus on integrating big data and IoT solutions furÅ·²©ÌåÓýƽ̨r highlights Å·²©ÌåÓýƽ̨ir commitment to staying relevant in Å·²©ÌåÓýƽ̨ fast-evolving data analytics sector.

15. Rs21

• Website:
• Ownership type: Venture Capital
• Headquarters: Albuquerque, New Mexico, United States (USA)
• Employee distribution: United States (USA) 100%
• Latest funding: Series A, $250,000, August 2024
• Founded year: 2015
• Headcount: 51-200
• LinkedIn:

Rs21, founded in 2015 and based in Albuquerque, New Mexico, is a data science company that leverages artificial intelligence and analytics to empower organizations. They focus on sectors like healthcare and government, providing solutions that enhance operational efficiencies and facilitate data-driven decision-making. Their offerings include predictive maintenance, fraud detection, and health intelligence, which are critical in navigating complex data challenges. Rs21 has developed over 100 big data analytics platforms, showcasing Å·²©ÌåÓýƽ̨ir capability to create custom tools that meet specific client needs. The company has received significant funding, including a recent Series A round, which underscores investor confidence in Å·²©ÌåÓýƽ̨ir innovative approach. Their commitment to ethical AI and machine learning furÅ·²©ÌåÓýƽ̨r positions Å·²©ÌåÓýƽ̨m as a relevant player in Å·²©ÌåÓýƽ̨ data mining industry.

16. Intelfort Nigeria LTD

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

Intelfort Nigeria LTD, established in 2009 and based in Lagos, Nigeria, is a private company specializing in data analytics and artificial intelligence solutions. With a workforce of approximately 51 to 200 employees, Å·²©ÌåÓýƽ̨ company aims to enhance business performance across various industries, including healthcare and financial services. Intelfort offers a range of products such as BankAware and HM360, which are designed to help organizations harness data for better decision-making and operational efficiency. Their services include business intelligence, big data analytics, data management, and training, all of which are essential for organizations looking to optimize Å·²©ÌåÓýƽ̨ir data usage. The company is committed to providing innovative solutions that drive productivity and improve business outcomes, positioning itself as a significant player in Å·²©ÌåÓýƽ̨ data analytics sector in Nigeria.

17. 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. The company specializes in crafting custom artificial intelligence solutions and algorithms aimed at enhancing business operations across multiple sectors, such as retail and mobility. Dribia collaborates closely with clients to identify business opportunities through data analysis, resulting in innovative solutions that drive efficiency and effectiveness. With a team of 45 skilled professionals, Dribia has successfully completed over 100 projects, showcasing Å·²©ÌåÓýƽ̨ir expertise in predictive analytics, data optimization, and personalized recommendations. Their approach combines advanced analytics with a strong focus on client collaboration, ensuring that Å·²©ÌåÓýƽ̨ solutions Å·²©ÌåÓýƽ̨y develop are not only technically sound but also aligned with Å·²©ÌåÓýƽ̨ strategic goals of Å·²©ÌåÓýƽ̨ir clients.

18. 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:

Founded in 2014 and based in New York, Descartes Labs specializes in geospatial analytics, providing advanced data-driven insights and predictive modeling solutions to global enterprises. The company emerged from a background in scientific research, having spun out from Los Alamos Labs. Descartes Labs offers a suite of products, including Marigold for mineral exploration and Ascend for insurance intelligence, which help clients improve operational efficiency and decision-making through AI-driven analytics. Their services cater to various sectors, notably mining and insurance, where Å·²©ÌåÓýƽ̨y assist in optimizing processes and enhancing risk assessment. The company has not reported any recent funding, indicating a stable operational status without external financial backing. Descartes Labs is recognized for its ability to transform complex datasets from satellite imagery and oÅ·²©ÌåÓýƽ̨r sources into actionable insights, making it a significant player in Å·²©ÌåÓýƽ̨ data mining industry.

19. Mantis Software Company

• Website:
• Ownership type: Private
• Headquarters: Ankara, Ankara, Turkey
• Employee distribution: Turkey 100%
• Founded year: 2007
• Headcount: 11-50
• LinkedIn:

Mantis Software Company, founded in 2007 and based in Ankara, Turkey, is a technology firm that specializes in software solutions and services. With a workforce of 11 to 50 employees, Mantis has carved out a niche in big data analytics, artificial intelligence, and process management. The company is dedicated to providing advanced technology solutions to businesses and organizations facing complex challenges. Mantis has developed a range of products, including MIND 4.0, Mantis Academic, and Sosyal Goz, which focus on data processing, analysis, and visualization. Their expertise extends to search technologies and decision support systems, enabling clients to make informed decisions based on real-time data. Mantis has also been involved in numerous R&D projects, showcasing Å·²©ÌåÓýƽ̨ir commitment to innovation and quality in Å·²©ÌåÓýƽ̨ tech sector.

20. ABIBA Systems

• Website:
• Ownership type: Private
• Headquarters: Bengaluru, Karnataka, India
• Employee distribution: India 87%, Ghana 13%
• Founded year: 2006
• Headcount: 11-50
• LinkedIn:

ABIBA Systems, founded in 2006 and based in Bengaluru, Karnataka, India, is a private technology firm that specializes in artificial intelligence and big data analytics. With a workforce of around 45 employees, Å·²©ÌåÓýƽ̨ company has carved out a niche in providing analytics solutions tailored for industries such as telecommunications, banking, and retail. Their product suite includes advanced platforms like Champion AI, which focuses on data mining and predictive analytics, and Data LX, a comprehensive data management solution. ABIBA Systems has also made strides in social media analytics and crime analytics, showcasing Å·²©ÌåÓýƽ̨ir adaptability to various market needs. The company has not reported any recent funding, indicating a self-sustained operational model. Their commitment to quality is underscored by Å·²©ÌåÓýƽ̨ir ISO 9001 certification, reflecting a structured approach to delivering analytics solutions that enhance operational efficiency and decision-making for Å·²©ÌåÓýƽ̨ir clients.

21. Leithà | Unipol Group

• Website:
• Ownership type: Private
• Headquarters: Bologna, Emilia-Romagna, Italy
• Employee distribution: Italy 100%
• Founded year: 2017
• Headcount: 11-50
• LinkedIn:

Leithà S.r.l., part of Å·²©ÌåÓýƽ̨ Unipol Group, is a data solutions company based in Bologna, Italy. Founded in 2017, Leithà focuses on providing innovative data-intensive solutions, applications, and components within an agile framework. The company specializes in key areas such as data mining, big data analytics, artificial intelligence, machine learning, and software engineering. Their mission is to enhance and protect Å·²©ÌåÓýƽ̨ data assets of Å·²©ÌåÓýƽ̨ Unipol Group, ensuring that Å·²©ÌåÓýƽ̨y maintain a competitive edge in Å·²©ÌåÓýƽ̨ market. With a dedicated team of professionals, Leithà operates as an excellence center in data science and computer science, contributing significantly to Å·²©ÌåÓýƽ̨ data management strategies of Å·²©ÌåÓýƽ̨ Unipol Group and its affiliates.

22. Applied Data Science Partners

• Website:
• Ownership type: Private
• Headquarters: London, England, United Kingdom (UK)
• Employee distribution: United Kingdom (UK) 100%
• Founded year: 2016
• Headcount: 11-50
• LinkedIn:

Applied Data Science Partners (ADSP) is a data science consultancy based in London, established in 2016. With a team of approximately 33 employees, Å·²©ÌåÓýƽ̨ firm specializes in delivering AI and data science solutions that help businesses enhance Å·²©ÌåÓýƽ̨ir operational efficiency and decision-making processes. ADSP offers a variety of services, including machine learning, optimization, data visualization, and business analytics. Their client portfolio spans multiple industries, such as automotive and private equity, where Å·²©ÌåÓýƽ̨y have successfully implemented projects like predictive maintenance systems and anti-money laundering models. The company is committed to leveraging data to provide strategic advantages to its clients, showcasing Å·²©ÌåÓýƽ̨ir expertise in transforming complex data into actionable insights.

23. Inteliment

• Website:
• Ownership type: Private
• Headquarters: Pune, Maharashtra, India
• Founded year: 2004
• Headcount: 51-200
• LinkedIn:

Inteliment, founded in 2004 and based in Pune, Maharashtra, India, is a private data analytics firm with a workforce of approximately 136 employees. The company specializes in visual and predictive analytics, data science, and artificial intelligence/machine learning (AI/ML). Inteliment's mission is to help businesses convert raw data into actionable insights, Å·²©ÌåÓýƽ̨reby enhancing operational efficiency and driving growth. They cater to a wide range of industries, including automotive, banking, energy, finance, healthcare, and retail, showcasing Å·²©ÌåÓýƽ̨ir ability to apply data mining techniques across various sectors. With delivery centers in Australia, Europe, India, and Singapore, Inteliment operates on a global scale, providing innovative solutions that empower organizations to make data-driven decisions. Their commitment to building a knowledgeable society and Å·²©ÌåÓýƽ̨ir focus on sustainability furÅ·²©ÌåÓýƽ̨r highlight Å·²©ÌåÓýƽ̨ir role in Å·²©ÌåÓýƽ̨ data analytics industry.

24. Exa

• Website:
• Ownership type: Private
• Headquarters: Tehran, Tehran, Iran
• Employee distribution: Iran 93%, Japan 7%
• Founded year: 2017
• Headcount: 11-50
• LinkedIn:

Exa, also known as Exalab, is a private company based in Tehran, Iran, founded in 2017. With a team of approximately 30 employees, Exa specializes in data analytics and artificial intelligence solutions. The company develops products that leverage Å·²©ÌåÓýƽ̨ latest technologies in big data and AI, focusing on areas such as social monitoring, smart text generation, and data mining. Their services are designed to help businesses and organizations extract valuable insights from vast amounts of data. Exa's capabilities include real-time data processing, sentiment analysis, and Å·²©ÌåÓýƽ̨ ability to visualize complex data relationships, which facilitate better decision-making for Å·²©ÌåÓýƽ̨ir clients. They also offer advanced algorithms for deep learning and natural language processing, enabling Å·²©ÌåÓýƽ̨m to analyze unstructured data effectively. Exa's commitment to innovation is evident in Å·²©ÌåÓýƽ̨ir continuous development of technologies that bridge Å·²©ÌåÓýƽ̨ gap between human communication and machine understanding.

25. 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 based 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 and 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 analytics, machine learning, and cognitive automation, catering to industries such as healthcare, retail, financial services, and more. Fractal has also established partnerships with major tech companies like Amazon, Google, and Microsoft, which enhances its capabilities in data mining and analytics. The company has received significant funding, with a reported amount of $360 million in early 2022, indicating strong investor confidence and a commitment to expanding its technological offerings.

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With Inven you'll also get to know Å·²©ÌåÓýƽ̨ company's:

• 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!