San Francisco, CA, USA
  |  By Continual Team
Continual is proud to announce that we are now SOC 2 Type 1 compliant and SOC 2 Type 2 in progress. This certification demonstrates our core commitment to your data security and privacy. We expect to make additional announcements around our security certification efforts over the coming months. Beyond third party attestations, Continual is built from the ground up for data security, privacy, and governance at enterprise scale.
  |  By Bethann Noble
Microsoft Copilot is an LLM-powered AI assistant embedded across Microsoft software including its 365 productivity apps Word, Excel, PowerPoint and Teams. Copilot AI assistance features are designed to boost productivity and creativity by providing a natural language interface to knowledge, insights and workflows in Microsoft products.
  |  By Continual Team
The rise of generative AI and the massive popularity of OpenAI’s ChatGPT has led to widespread recognition that software applications are about to fundamentally change. Generative AI offers the potential to both deliver breakthrough new application capabilities and transform the way people interact with software.
  |  By Bethann Noble
The past year has seen an unprecedented AI hype wave triggered by the launch of OpenAI’s ChatGPT. Analysis abounds on whether the hype is real, where value will accrue and whether generative AI-first product builders have a real shot at category disruption or creation. As frenzied R&D and market activity continue unabated, market maps and take after take continue to drop hot. But what about revenue?
  |  By Tristan Zajonc
If you’re building an application today, one of your top product priorities for 2024 is almost certainly adding an AI copilot to your application. AI copilots – AI assistants powered by large language models (LLMs) and deeply embedded into applications – offer one of the most compelling opportunities to reimagine applications since the dawn of the internet.
  |  By Continual Team
OpenAI DevDay 2023 is upon us. We're excited by what some of the announcements mean for Continual and will be revealing more about Continual soon. In the meantime, you can watch the livestream and replay here: There's never been a better time to build an AI copilot for your application.
  |  By Brendan McKenna
The cost of DNA sequencing continues to decline exponentially. With the average cost of sequencing mammalian DNA hovering around $1,000 in the beginning of 2023, startups like Ultima Genomics and Illumina are working to decrease the cost to between $100-$200. That’s about the same as a new pair of Brooks running shoes! As the sequencing cost drops, the quantity of genetic data to study and analyze explodes, making it even more important to leverage machine learning techniques.
  |  By Brendan McKenna
GitHub Actions is a powerful continuous integration and continuous delivery (CI/CD) platform that allows developers to automate build, test, and deployment pipelines. Workflows automatically build and test code whenever an event occurs, such as a pull request or a deployment of merged pull requests to production. Best of all, you can use it without leaving the comfort of your own repository!
  |  By Bethann Noble
With inflation and other disruptive market dynamics massively impacting consumer behavior, is it any surprise that personalization tops the list of strategic actions for CMOs in 2023? Yep, people tend to stick around when digital products and experiences fulfill their personal needs quickly and accurately. And topping the list of powerful tools for personalization? Machine learning and AI, of course, from product recommendations to targeted offers based on digital customer and behavioral data.
  |  By Andrew Tsao
If you’ve been following commentary on the modern data stack recently, you may have noticed the tent’s steadily getting bigger. There also appears to be a growing ecosystem of companies that are beginning to take the next step, going from what a modern data stack can look like, to now internalizing this concept in their very own product solutions.

Maintain continually improving predictions – from customer churn to inventory forecasts – directly in your data warehouse. No complex engineering required.

Continual sits on top of your cloud data warehouse and makes it easy to build, deploy and maintain predictive models that never stop learning from your data. These models can predict anything, from customer LTV to equipment failure. Try it for free.

Built for modern data teams:

  • Zero Infrastructure: Maintain features and predictions directly in your data warehouse without new infrastructure.
  • Shared Feature Store: Share feature definitions defined in SQL across your team to accelerate model development.
  • Declarative AI Engine: Build state-of-the-art models that leverage all your data without writing code or pipelines.
  • Feature Time Travel: Avoid data leakage with point-in-time correct features from a collaborative feature store.
  • dbt Integration: Leverage your existing dbt models and workflow to radically reduce the complexity of operational AI.
  • CI/CD Friendly: Fully govern features, models, and policies with a declarative workflow that enables GitOps.

Operational AI for Modern Data Teams.