Shape

Shape interprets natural language queries against a data stack to turn complex data questions into actionable insights. It presents an AI data analyst experience that aims to make data accessible to teams and individuals who need fast, understandable answers without writing SQL. The tool emphasizes conversational interpretation and the ability to request reviews from analysts when needed. It is designed to fit into existing data environments and scale with user needs.

It highlights that natural language allows users to interact with computer systems in ways that simplify data access and decision making. The product aims to change how people explore data by making analytics more approachable for a broader audience. It implies that the product can adapt to different data contexts and use cases.

The product centers on AI-powered analytics that include ad-hoc querying, AI-generated analyses, and visualizations embedded into dashboards or products. It notes collaboration features such as a Slackbot and the option to embed analytics via an API and React components. The narrative suggests a focus on accuracy, security, and trustworthy results through structured reviews and clear caveats.

Shape outlines plans for scalable use with a free-form data-on-demand concept, mentions SOC 2 Type I, and provides tiered pricing for different team sizes. It signals integration potential with Slack, Microsoft Teams, and data stacks, and references enterprise customization with white-glove onboarding.

Use cases

• Get fast answers from your Slackbot
• Embed analytics in your product or workflow