dotData company logo

The profile is currenly unclaimed by the seller. All information is provided by CB Insights.

Founded Year



Series B | Alive

Total Raised


Last Raised

$31.6M | 4 mos ago

About dotData

dotData provides an end-to-end data science automation platform that accelerates, democratizes, and operationalizes the entire data science process with artificial intelligence/machine learning. It was founded in 2018 and is based in San Mateo, California.

dotData Headquarter Location

2121 S. El Camino Real Suite #B100

San Mateo, California, 94403,

United States


ESPs containing dotData

The ESP matrix leverages data and analyst insight to identify and rank leading companies in a given technology landscape.

Emerging Tech / Artificial Intelligence

Features are the backbone of AI development. For instance, fraud prevention algorithms use features such as number of failed transactions, fraud rates, and customer email addresses to predict the likelihood of fraud. Some features need to be calculated in real time and made available for an algorithm to access. Feature stores transform incoming raw data into such usable features.

dotData named as Leader among 7 other companies, including Tecton, Rasgo Intelligence, and Layer.

Predict your next investment

The CB Insights tech market intelligence platform analyzes millions of data points on venture capital, startups, patents , partnerships and news mentions to help you see tomorrow's opportunities, today.

Research containing dotData

Get data-driven expert analysis from the CB Insights Intelligence Unit.

CB Insights Intelligence Analysts have mentioned dotData in 2 CB Insights research briefs, most recently on Mar 3, 2020.

Expert Collections containing dotData

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

dotData is included in 2 Expert Collections, including Artificial Intelligence.


Artificial Intelligence

9,093 items

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


AI 100

100 items

The winners of the 4th annual CB Insights AI 100.

dotData Patents

dotData has filed 6 patents.

The 3 most popular patent topics include:

  • Data management
  • Data modeling
  • Database management systems
patents chart

Application Date

Grant Date


Related Topics




Feature detection (computer vision), Granularity of materials, Regression analysis, Image processing, Computer vision


Application Date


Grant Date



Related Topics

Feature detection (computer vision), Granularity of materials, Regression analysis, Image processing, Computer vision



Latest dotData News

Top 10 Coolest Machine Learning Start-Ups to Watch in 2022

Dec 5, 2021

Artificial intelligence has been a hot innovation region as of late and ML, a subset of AI, is one of the main sections of the entire AI arena. ML is the advancement of intelligent algorithms and statistical models that further develop programming through experience without the need to expressly code those improvements. A predictive analysis application, for example, can turn out to be more exact over the long run using machine learning. In any case, ML has its difficulties. Creating ML models and frameworks requires a conversion of data science, data engineering and development skills. Acquiring and dealing with the data expected to create and prepare ML models is a critical task. Furthermore, executing ML innovation within real-world association frameworks can be a significant obstacle. Here’s a look at a ten start-up companies, some that have been around for a few years and some just getting off the ground, that are addressing the challenges associated with machine learning. AI.Reverie AI.Reverie creates AI and machine earning innovation for info data age, data labelling and data improvement tasks for the headway of computer vision. The organization’s stimulation platform is utilized to help acquire, arrange and explain a lot of data expected to prepare computer vision algorithms and further develop AI applications. Recently,AI.Reverie was named a Gartner Cool Vendor in AI core innovations. Anodot Anodot’s Deep 360 independent business monitoring stage utilizes AI to constantly monitor business metrics, detect critical abnormalities and assist with determining business performance. Anodot’s algorithms have a context-oriented comprehension of business metrics, giving continuous alarms that assist clients with reducing incident expenses by as much as 80%. Anodot has been conceded patents for innovation and algorithms in such regions as irregularity score, irregularity and relationship. BigML BigML offers a comprehensive, oversaw machine learning platform for effectively building and data models and data models and making profoundly robotized, information driven choices. The company’s programmable, scalable machine learning platform automates classification, regression, time series forecasting, cluster analysis, anomaly detection, association discovery and topic modelling tasks. The BigML preferred partner program upholds reference accomplices and accomplices that sell BigML and to regulate execution projects. Accomplice A1 Digital, for instance, has fostered a retail application on the BigML platform that assists retailers with anticipating deals cannibalization—when advancements or other promoting movement for one item can prompt decreased interest for different products. StormForge StormForge gives machine learning based, cloud-native application testing and execution streamlining programming that assists associations with upgrading application performance in Kubernetes. StormForge was established under the name Carbon Relay and fostered its Red Sky Ops tools that DevOps groups use to deal with a huge assortment of application configuration in Kubernetes, naturally tuning them for advanced execution regardless IT environment they’re operating in. This week the companyacquired German organization Stormforger and its performance testing-as-a-platform innovation. The organization has rebranded as StormForge and renamed its coordinated item the StormForge Platform, a far-reaching framework for DevOps and IT experts that can proactively and consequently test, investigate, configure, advance and release containerized applications. Comet.ML Comet.ML gives a cloud-facilitated machine learning platform for building solid reliable models that help data scientists and AI teams track datasets, code changes, experimentation history and production models. Launched in 2017, Comet.ML has brought US$6.8 million up in adventure financing, remembering US$4.5 million for April 2020. Dataiku Dataiku’s objective with its Dataiku DSS (Data Science Studio) platform is to move AI and ML use past lab experiments into widespread use within data- driven businesses. Dataiku DSS is utilized by data analysts and data scientists for a scope of AI, data science and data analysis tasks. In August Dataiku raised a great US$100 million in a Series D round of funding, bringing its complete financing to US$247 million. Dataiku’s partner ecosystem incorporates investigation specialists, administration accomplices, innovation accomplices and VARs. DotData DotData says its DotData Enterprise AI and data science platform is equipped for diminishing AI and business insight improvement projects from months to days. The company’s organization will likely make data science processes easy enough that nearly anybody, not simply in data scientists , can profit from them. The DotData stage depends on the organization’s AutoML 2.0 engine that performs full-cycle mechanization of AI and data science tasks. In July the organization appeared DotData Stream, a containerized AI/ML model that empowers ongoing prescient abilities. Eightfold.AI Eightfold.AI fosters the talent intelligence platform, a human asset the board framework that uses AI profound learning and AI innovation for ability obtaining, the executives, advancement experience and variety. The Eightfold framework, for instance, utilizes AI and ML to more readily coordinate with competitor abilities with work requirements and further develops worker variety by lessening oblivious bias. In late October Eightfold.AI declared a US$125 million Series round of financing, putting the start-up’s worth at more than US$1 billion. needs to “democratize” the utilization of man-made consciousness for a wide scope of clients. The organization’s H2O open-source AI and ML platform, H2O AI Driverless programmed ML software, H20 MLOps and different instruments are utilized to send AI-based applications financial administrations, protection, medical services, broadcast communications, retail, drug and digital marketing. as of late collaborated with data science platform engineer KNIME to incorporate Driverless AI for AutoML with KNIME Server for work process the board across the whole data science life cycle—from data access advancement and organization. OctoML Octomizer makes it easier for businesses and organizations to put deep learning models into production more quickly on different CPU and GPU hardware, including at the edge and in the cloud. OctoML was founded by the team that developed the Apache TVM machine

dotData Web Traffic

Page Views per User (PVPU)
Page Views per Million (PVPM)
Reach per Million (RPM)
CBI Logo

dotData Rank

  • When was dotData founded?

    dotData was founded in 2018.

  • Where is dotData's headquarters?

    dotData's headquarters is located at 2121 S. El Camino Real, San Mateo.

  • What is dotData's latest funding round?

    dotData's latest funding round is Series B.

  • How much did dotData raise?

    dotData raised a total of $54.6M.

  • Who are the investors of dotData?

    Investors of dotData include Otsuka Corporation, Sumitomo Mitsui Banking Corporation, Sumitomo Mitsui Trust Holdings, Plug and Play Accelerator, NEC and 5 more.

  • Who are dotData's competitors?

    Competitors of dotData include Tecton, Layer,, DataRobot, PI.EXCHANGE and 7 more.

You May Also Like


Layer helps users create production-grade ML pipelines with a seamless local to cloud transition while enabling collaboration with semantic versioning, extensive artifact logging, and dynamic reporting. The company was founded in 2020 and is based in Istanbul, Turkey.

Kaskada Logo

Kaskada is a machine learning studio for feature engineering using event-based data.

Molecula Logo

Molecula is a data virtualization company that enables enterprises to make data ready for artificial intelligence. Molecula's software reduces the risk of errors in data and helps prepare it for complex analysis by making data from a variety of sources and locations instantly available through a virtualized access layer. Molecula was founded in 2017 and is based in Austin, Texas.

Rasgo Intelligence

Rasgo Intelligence develops data science tools and custom machine learning modeling solutions.

Logical Clocks Logo
Logical Clocks

Logical Clocks is the developer of Hopsworks, a data-intensive AI platform with a Feature Store.


Tecton offers a fully-managed ML feature platform that orchestrates the complete lifecycle of features, from transformation to online serving, with enterprise-grade SLAs. Its platform can also monitor data pipelines, calculate the latency and processing costs, and retrieve historical features to train systems in production. The company was founded in 2019 and is based in San Francisco, California.

Discover the right solution for your team

The CB Insights tech market intelligence platform analyzes millions of data points on vendors, products, partnerships, and patents to help your team find their next technology solution.

Request a demo

CBI websites generally use certain cookies to enable better interactions with our sites and services. Use of these cookies, which may be stored on your device, permits us to improve and customize your experience. You can read more about your cookie choices at our privacy policy here. By continuing to use this site you are consenting to these choices.