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Continual

1.0.0

7

0

Apps
Develop predictive models using a modern data architecture.
Input:
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Continual screenshot
Updated: Jun 15, 2021 Free + from free tier available

Description

Continual is an AI platform that provides an integrated AI assistant, or copilot, for various applications. This copilot from Continual integrates deeply with your application's data and APIs, aiming to help users increase their productivity and results.

Designed to connect easily to application data and APIs, the copilot is built to understand your application thoroughly and can both query data and perform actions to support users.

Continual's React components and headless SDK simplify the process of adding the copilot to your application and creating experiences powered by a unified copilot engine.

The platform supports both AI-driven and human feedback, facilitating effective evaluation and workflows for fine-tuning. This iterative process allows the AI copilot to continuously learn and improve its performance.

Continual's key features include delivering instant answers, automating user workflows, and enabling intelligent experiences. It also provides capabilities like inline citations, headless interactions, and threaded conversations to improve user engagement.

Furthermore, Continual delivers comprehensive visibility and analytics for the copilot, ensuring transparency in its operation. With these features, the platform aims to lower engineering and maintenance costs, enhance performance and reliability, and shorten time to market.

Intended to be simple to set up initially and infinitely customizable for future application needs, Continual seeks to be a reliable AI copilot platform for both startups and large companies.

Pricing Plans

Model
freemium
Packages
1 Package
Price Start From
free tier available
Payment Model
Not specified

Releases

The first version of Continual has been launched.

Reviews

Pros & Cons

Pros

Cloud-based predictive modeling solutions

SQL is used for application creation

Compatible with BigQuery, Snowflake, Redshift, and Databricks

Cons

Focuses on SQL

Limited to cloud data platforms

Relies on modern data stacks

Q&A

New Released

New Released