Search company, investor...

Founded Year



Series A | Alive

Total Raised


Last Raised

$14.5M | 1 yr ago

About Continual

Continual brings operational AI to the modern, warehouse-centric data stack. The company was founded in 2019 and is based in San Francisco, California.

Headquarters Location

95 3rd Street 2nd Floor

San Francisco, California, 94103,

United States

CB Insights
Looking for a leg up on competitive, customer and technology insights?
CB Insights puts confidence and clarity into your most strategic decisions.
See how. Join a demo.
Join a demo
Trusted by the world's smartest companies to:
  • Predict emerging trends
  • See competitors' playbooks
  • Stalk the smart money
  • Identify tomorrow's challengers
  • Spot growing industries
  • Kill analyst data work
Let's see how we can help you!
MicrosoftWalmartWells Fargo

Continual's Product Videos

ESPs containing Continual

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

Enterprise Tech / BI & Operational Intelligence

The data science platforms market offers solutions to help businesses overcome common obstacles in implementing AI and machine learning, such as lack of internal standards, technical debt, and security and governance concerns. These platforms provide standardized and robustly-engineered algorithms that can solve real-world problems under a unified framework. They also automate and accelerate the M…

Continual named as Challenger among 14 other companies, including Cloudera, Databricks, and Dataiku.

Continual's Products & Differentiators


    Continual is an operational AI platform that lets data teams automatically generate and maintain predictions - from whether customers will churn to inventory forecasts - directly in their cloud data warehouse. Continual’s simple declarative workflow and data warehouse centric design make it easy for all data teams to deploy production machine learning use-cases at scale without adding the complex infrastructure, skills or operational burden associated with typical ML platforms.

You're one click away from the most comprehensive, unmatched analyst expertise in tech, in-depth private company data and a platform that brings it all together.
Click Now. Join a live demo
Join a demo

Expert Collections containing Continual

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

Continual is included in 1 Expert Collection, including Artificial Intelligence.


Artificial Intelligence

10,944 items

Companies developing artificial intelligence solutions, including cross-industry applications, industry-specific products, and AI infrastructure solutions.

Latest Continual News

AI platform Continual raises $14.5M Series A and comes out of beta

Jun 8, 2022

Continual , a startup that focuses on simplifying operational AI on top of a modern data stack, today announced that it has raised a $14.5 million Series A funding round led by Innovation Endeavors. In addition, the company today announced that its cloud platform is now generally available. The company, which focuses its AI efforts on predictive models for things like inventory forecasts, risk mitigation and supply chain logistics, previously raised a $4 million seed round, which it announced last December. Other investors in this new round include Amplify Partners, Illuminate Ventures, Inspired Capital, Data Community Fund, Activation, New Normal, GTMfund, as well as angels Tomer Shiran (founder of Dremio) and Tristan Handy (founder of dbt Labs). Enterprises now own massive amounts of data but it remains difficult for them to take this information, which typically sits in a data warehouse like Snowflake or AWS Redshift, and turn it into predictive models. The idea behind Continual is to allow them to do this without having to reinvent the wheel. The service isn’t a low-code/no-code tool but it does put an emphasis on making its features accessible in that it allows data teams to leverage skills they already have — like SQL and dbt — to quickly build AI models and put them into production. Looking ahead, Continual will add some more advanced features, too. “To better support advanced users, we’re adding support for machine learning engineers to extend Continual’s automated machine learning engine with custom models and then expose these new capabilities to all users in their organization,” the company’s CEO and co-founder Tristan Zajonc explained. “We ultimately see Continual as being powered by an ecosystem of AI capabilities both developed internally and externally.” One of these advanced features is the ability to extend Continual’s MLOps service with custom capabilities, which is now available in preview. But the company also has quite a few more of these more advanced features in the pipeline. Continual also plans to launch new automated feature engineering capabilities to simplify the machine learning workflow, for example. And later this year, the company also plans to introduce support for real-time feature and model serving, something its customers have been asking for. Zajonc noted that just in the last three months, the company managed to double the number of active users and deployed models, as well as its booked annual recurring revenue. Those are obviously numbers that make VC’s perk up their ears, so it’s maybe no surprise that Continual was able to raise this new round so soon after its seed funding. “Over the last few years, we’ve seen predictive analytics and AI become the lifeblood of today’s leading enterprises,” Harpinder (Harpi) Singh, Partner at Innovation Endeavors. “But most companies still struggle to infuse AI broadly in their organizations. We believe Continual’s approach to building directly on an organization’s existing cloud data platforms and empowering all user types, not just machine learning engineers, is the right recipe to unlock the potential of AI for every organization.” Now, the plan is to double the team by the end of 2022 to support all of these new customers and build these new advanced features.

Continual Frequently Asked Questions (FAQ)

  • When was Continual founded?

    Continual was founded in 2019.

  • Where is Continual's headquarters?

    Continual's headquarters is located at 95 3rd Street, San Francisco.

  • What is Continual's latest funding round?

    Continual's latest funding round is Series A.

  • How much did Continual raise?

    Continual raised a total of $18.5M.

  • Who are the investors of Continual?

    Investors of Continual include Illuminate Ventures, Amplify Partners, Data Community Fund, Inspired Capital, New Normal Group and 8 more.

  • Who are Continual's competitors?

    Competitors of Continual include DataRobot and 5 more.

  • What products does Continual offer?

    Continual's products include Continual.

CB Insights
Looking for a leg up on competitive, customer and technology insights?
CB Insights puts confidence and clarity into your most strategic decisions.
See how. Join a demo.
Join a demo
Trusted by the world's smartest companies to:
  • Predict emerging trends
  • See competitors' playbooks
  • Stalk the smart money
  • Identify tomorrow's challengers
  • Spot growing industries
  • Kill analyst data work
Let's see how we can help you!
MicrosoftWalmartWells Fargo

Compare Continual to Competitors

BigML Logo

BigML offers a cloud-based machine learning (ML) service to enable smart business analytics. Through the company's interface users analyze their data and build predictive models. It was founded in 2011 and is based in Corvallis, Oregon.

Aible Logo

Aible has developed an AI software that offers services including data cleansing, feature creation, model training, data scoring, model deployment and quantifying impact to help business users.

Cognida Logo

Cognida is a consulting and software engineering company that helps enterprises in their journey from data to decision intelligence. It offers data engineering, AI advisory, data and cloud analytics strategy, DevOps, cloud, and other services. Its services revolve around data, business, and engineering and offers deep insights from client's organization data repositories. The company was founded in 2022 and is based in Lincolnshire, Illinois.

Dataiku Logo

Dataiku develops a centralized data platform to help businesses in their data journey from analytics at scale to enterprise artificial intelligence (AI). Its solutions include data preparation, visualization, machine learning, analytic applications, and more. The company serves the banking sector, pharmaceuticals, manufacturing telecommunication sector, and more. It was founded in 2013 and is based in New York, New York.

2021.AI Logo

2021.AI serves the growing need for applied AI across the globe. Its data science expertise in combination with its Grace AI platform offers a true AI differentiator for clients around the world. With Grace, data scientists can solve some of the most complex problems, or directly implement its pakcaged solutions related to churn predction, chat-bots, fraud detection, and much more.

Seldon Logo

Seldon Technologies builds global infrastructure for machine learning (ML) operations. It accelerates the adoption of machine learning to improve business performance and manage risk. It enables data scientists to speed up the process of data interpretation. It was founded in 2014 and is based in London, United Kingdom.

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.

Join 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.