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Predixion Software


Acquired | Acquired

Total Raised


About Predixion Software

Predixion Software has developed Predixion Insight, a cloud-based analytics platform that provides real-time, predictive analytics at the decision point in order to improve outcomes. Predixion specializes in the "Last Mile of Analytics"- that is getting the power of predictive insights to the front lines where decisions are made – whether that is an application, a BI dashboard, a machine or a device.

Headquarters Location

15 Enterprise Road Suite 300

Aliso Viejo, California, 92656,

United States


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Expert Collections containing Predixion Software

Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces.

Predixion Software is included in 3 Expert Collections, including Digital Health.


Digital Health

21,956 items

Startups recreating how healthcare is delivered


Artificial Intelligence

9,442 items

This collection includes startups selling AI SaaS, using AI algorithms to develop their core products, and those developing hardware to support AI workloads.


Advanced Manufacturing

3,787 items

Companies focused on the technologies to increase manufacturing productivity, ranging from automation & robotics to AR/VR to factory analytics & AI, plus many more.

Predixion Software Patents

Predixion Software has filed 1 patent.

patents chart

Application Date

Grant Date


Related Topics



Actuarial science, Data mining, Machine learning, Business intelligence, Data management


Application Date


Grant Date


Related Topics

Actuarial science, Data mining, Machine learning, Business intelligence, Data management



Latest Predixion Software News

Big Data Analytics in Tourism Market Seeking Excellent Growth | Microsoft, Google, AWS

Sep 7, 2021

The latest study released on the Global Big Data Analytics in Tourism Market by Market Intellix evaluates market size, trend, and forecast to 2026. The Big Data Analytics in Tourism market study covers significant research data and proofs to be a handy resource document for managers, analysts, industry experts and other key people to have ready-to-access and self-analyzed study to help understand market trends, growth drivers, opportunities and upcoming challenges and about the competitors. Key Players in This Report Include: Microsoft, Google, AWS, IBM, Dell, Splunk, Micro Focus, SAP, Accenture, Informatica, Teradata, Oracle, Cloudera, Palantir, HPE, Cisco, SAS, Alteryx, Continuum Analytics, DataStax, Doopex, Hitachi Data Systems, KPMG, New Relic, Orchestra Networks, Predixion Software, Riversand Technologies, Stibo Systems, Tableau, TIBCO Software Download Sample Report PDF (Including Full TOC, Table & Figures) @ Market Concentration Insights: –           Comparative Market Share Analysis (Y-o-Y) –           Major Companies Market Position and Development Strategy Trending The Global Big Data Analytics in Tourism Market segments and Market Data Break Down are illuminated below: by Application (SMEs, Large Enterprises) Geographically, the detailed analysis of consumption, revenue, market share, and growth rate of the following regions: The Middle East and Africa (South Africa, Saudi Arabia, UAE, Israel, Egypt, etc.) North America (United States, Mexico & Canada) South America (Brazil, Venezuela, Argentina, Ecuador, Peru, Colombia, etc.) Europe (Turkey, Spain, Turkey, Netherlands Denmark, Belgium, Switzerland, Germany, Russia UK, Italy, France, etc.) Asia-Pacific (Taiwan, Hong Kong, Singapore, Vietnam, China, Malaysia, Japan, Philippines, Korea, Thailand, India, Indonesia, and Australia). Objectives of the Report -To carefully analyze and forecast the size of the Big Data Analytics in Tourism market by value and volume. -To estimate the market shares of major segments of the Big Data Analytics in Tourism market. -To showcase the development of the Big Data Analytics in Tourism market in different parts of the world. -To analyze and study micro-markets in terms of their contributions to the Big Data Analytics in Tourism market, their prospects, and individual growth trends. -To offer precise and useful details about factors affecting the growth of the Big Data Analytics in Tourism market. -To provide a meticulous assessment of crucial business strategies used by leading companies operating in the Big Data Analytics in Tourism market, which include research and development, collaborations, agreements, partnerships, acquisitions, mergers, new developments, and product launches. Buy Complete Assessment of Big Data Analytics in Tourism market now @ Report Answers Following Questions: Which regions will continue to remain the most profitable regional markets for Big Data Analytics in Tourism market players? Which factors will induce a change in the demand for Big Data Analytics in Tourism during the assessment period? How will changing trends impact the Big Data Analytics in Tourism market? How can market players capture the low-hanging opportunities in the Big Data Analytics in Tourism market in developed regions? Which companies are leading the Big Data Analytics in Tourism market? What are the winning strategies of stakeholders in the Big Data Analytics in Tourism market to upscale their position in this landscape? Extracts from TOC

Predixion Software Frequently Asked Questions (FAQ)

  • Where is Predixion Software's headquarters?

    Predixion Software's headquarters is located at 15 Enterprise Road, Aliso Viejo.

  • What is Predixion Software's latest funding round?

    Predixion Software's latest funding round is Acquired.

  • How much did Predixion Software raise?

    Predixion Software raised a total of $35.83M.

  • Who are the investors of Predixion Software?

    Investors of Predixion Software include Greenwave Systems, Palomar Ventures, Miramar Venture Partners, GE Ventures, Software AG and 6 more.

  • Who are Predixion Software's competitors?

    Competitors of Predixion Software include Samotics, RapidMiner, Canvass Analytics, Senseye, Seebo, MoBagel, Instrumental, SparkCognition, Fractal Analytics, Uptake and 30 more.

Compare Predixion Software to Competitors

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SparkCognition builds AI solutions for applications in energy, oil and gas, manufacturing, finance, aerospace, defense, and security. SparkCognition's products include Darwin for automated model building, DeepArmor for AI-built cybersecurity, SparkPredict, an analytics solution, and DeepLNP, a natural language processing solution.

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Veros Systems

Veros Systems provides customers with continuous, non-intrusive, scalable, predictive monitoring of industrial asset reliability and energy use across an entire enterprise. At the core of the Veros product is the Predictive Intelligence Platform (PIP), which analyzes 300+ discrete reliability and energy efficiency metrics from voltage and current waveform data and then transforms that data into actionable intelligence for engineers, plant supervisors, and corporate executives. End-users can receive alerts via email or SMS, warning them of an electrical or mechanical fault that may lead to a catastrophic failure sometime in the future. To dig deeper, end-users can turn to PIP's web-based interface, or integrate with leading Enterprise Asset Management suites.

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Seeq is an advanced analytics solution for process manufacturing and IIoT data sets. Seeq’s multiple applications empower engineers to collaborate, investigate and publish insights from data in manufacturing applications and historians. Analytics may be of any type, including diagnostic, monitoring, and predictive analytics to find insights that can be used to drive continuous improvements in key production and business metrics.

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Element Analytics

Element Analytics is an industrial analytics software company that makes data work for people, proactively surfacing insight where it's needed most. The Element Platform transforms data into insight, helping industrial organizations make the best-informed decisions for greater efficiency, sustainability, and profit.

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Falkonry enables predictive operations for companies seeking to improve the uptime, quality, and throughput of their operations. Falkonry’s machine learning system enables operations teams to discover, explain and predict operational behaviors, without requiring data scientists. The product can be deployed across the enterprise either on-premises, in the cloud or on the edge. It enables customers to save millions of dollars in operating costs and achieve a 5-10 times ROI.

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