Global Data Science Forum

Top Big Data Startups in the United States to View In 2020

By Lisa Garcia posted Wed July 22, 2020 07:21 AM

  

Data is increasing by leaps and bounds, the concentration of extremely large data sets both structured and unstructured define Big Data. The increasing knowledge of the Internet of Things (IoT) devices among organizations and volume, variety, speed and veracity at which data is created have caught the care of the enterprise in a bid to enhance digital technologies and digital guide change.

Analytics Insights reduces that the big data market size will grow at a CAGR of 10.8%, globally from US$ 192.5 billion in 2020 to US$ 301.5 billion by 2023. North America will observe a sharp increase of CAGR 12.5% growing from US$ 116.0 billion in 2020 to US$ 191.0 billion by 2023 through the forecast years. This region is seeing significant developments in the big data business, gaining remarkable traction in the BFSI industry upright. Here is an exclusive listing of the Big Data Start-ups in the United States to follow in 2020

 

Instreamatic

• Industries- Artificial Intelligence, Digital Marketing, Machine Learning, Speech Recognition

• Headquarters- San Francisco Bay Area

• Founded On- 2015

• Founder- Michael Ilyichev, Mikhail Paulkin, Simon Dunlop, Stas Tushinskiy, Victor Frumkin

• Total Funding Amount- US$2.2M

Instreamatic is AI-powered Voice Dialogue Marketing platform designed to power interactive, dialog-based advertisements on mobile platforms. It offers an all-in-one solution, providing advertisers and audio publishers with the tools to measure, monetize and manage ad inventory with highly engaging dialog ads.

 

Numerai

• Industries– Blockchain, Financial Services, Machine Learning

• Headquarters– San Francisco Bay Area

• Founded On – 2015

• Founder– Richard Craib

• Total Funding Amount– US$21.5M

Numerai is the world’s first hedge fund, to predict the stock market. Numerai changes and regularizes financial data into machine learning using its cryptocurrency to incentivize tens of thousands of anonymous data scientists around the world to collaborate to create the best predictive models.

 

Alluxio

• Industries- Open Source, Software

• Headquarters- San Francisco Bay Area

• Founded On- 2015

• Founder- Amelia Wong, Haoyuan Li

• Total Funding Amount- US$23M

Alluxio, Inc. (formerly Tachyon Nexus) brings together creators and top committers of Alluxio (formerly Tachyon), an open source project from UC Berkeley AMPLab. The start-up works to revolutionize the way data is stored, accessed, and managed by focusing on a memory-centric architecture.

 

Tonkean 

• Industries- Artificial Intelligence, Machine Learning, Software

• Headquarters- San Francisco Bay Area

• Founded On- 2015

• Founder- Offir Talmor, Sagi Eliyahu

• Total Funding Amount- US$33.2M

Tonkean uses AI to autonomously coordinate, execute and manage business workflows, across data and people. The company’s platform automatically connects to the interfaces users already use such as forms, email, chat based on the needs and decisions of each individual, helping operations teams to quickly create adaptive modules to solve their unique challenges.

 

Frame AI

• Industries– Customer Service, Enterprise Software, Natural Language Processing

• Headquarters– Greater New York Area

• Founded On– 2016

• Founder– Brandon Reiss, George Davis, John Gu

• Total Funding Amount– US$10.3M

Frame AI is an early warning and constant monitoring system that operationalizes Voice-of-Customer. Frame AI identifies emerging themes driving customer relationships and operational costs, and makes them immediately actionable by consolidating and enriching data across helpdesks, call centre, CRM, and other channels.

 Samsara

• Industries- Electronics, Internet of Things, SaaS, Sensor, Software

• Headquarters- San Francisco Bay Area

• Founded On- 2015

• Founder- John Bicket, Sanjit Biswas

• Total Funding Amount- US$930M

Samsara is an IoT platform combining software, hardware, and cloud to bring analytics, AI and real-time visibility, to operations. Samsara serves over 15,000 customers across diverse sizes and industries, from transportation and logistics to energy, local governments, manufacturing and construction. Its growing suite of solutions includes mobile workflow and compliance, asset tracking, vehicle telematics, driver safety, industrial process controls in an integrated, open, real-time platform.

 

ModelOp

• Industries- Analytics, Artificial Intelligence, Enterprise Software, IT Infrastructure, Machine Learning, Predictive Analytics, Software

• Headquarters- Greater Chicago Area

• Founded On- 2016

• Founder- Pete Foley, Robert Grossman, Stu Bailey

• Total Funding Amount- US$6.0M

ModelOp is a developer of an analytic deployment technology intended to simplify production with analytics and imminent model applications. The company’s technology deploys group analytic and predictive models into production in any language thereby decreasing time to the first deployment from months to days, enabling companies to drive transformational value from their Machine Learning and AI properties.

 

PostEra

• Industries- Biotechnology, Machine Learning, Pharmaceutical, Therapeutics

• Headquarters- San Francisco Bay Area

• Founded On- 2019

• Founder- Aaron Morris, Alpha Lee, Matt Robinson

• Total Funding Amount- US$2.5M

PostEra applies machine learning to close the design-make-test loop of drug design and reduce its clients’ cycle times. PostEra is currently leading an international team of scientists to find a COVID-19 antiviral via on open science initiative.

OctoML

• Industries- Artificial Intelligence, Computer, Machine Learning, Software

• Headquarters- Greater Seattle Area

• Founded On- 2019

• Founder- Jason Knight

• Total Funding Amount- US$18.9M

OctoML changes the status quo how developers optimize and deploy machine learning models for their AI needs. It offers managed service for companies looking to securely deploy in multi-cloud and edge environments to ensure that the models stay up and running at peak efficiency.

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