TakeShape

TakeShape

AI-driven agent builder and data orchestration runtime.

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Source: Dealroom estimates

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More about TakeShape
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TakeShape is a data-first platform that connects, transforms, and activates fragmented enterprise data, providing a runtime for AI-driven agents. The company's core product is an API mesh that unifies multiple services and data sources, such as REST and GraphQL APIs, into a single, optimized GraphQL endpoint. This enables developers to build and deploy features faster, bridging the gap between legacy backend systems and modern front-end experiences.

Founded in 2018 by Mark Catalano and Andrew Sprouse, the company originated from the founders' experience running a creative agency where they built internal tools to streamline development. This led to the creation of a platform designed to empower front-end developers by removing backend development bottlenecks. TakeShape participated in the 2019 Comcast NBCUniversal LIFT Labs Accelerator powered by Techstars, which helped the founders refine their product and secure a pilot with Comcast. The company has raised a total of $1.65M over three seed funding rounds, with investors including Netlify and Comcast.

The platform serves developers and teams building content-driven applications, offering features like a headless CMS, a visual data modeling editor (ShapeDB), and data orchestration capabilities. It supports popular front-end frameworks like NextJS and Gatsby. The business model appears to be subscription-based, with different pricing tiers such as Professional, Business, and Enterprise, in addition to a professional consulting arm for custom AI solutions. Recently, TakeShape has expanded its focus to AI, offering an agent builder that leverages its data pipeline to create specialized AI agents for business-specific outcomes, featuring capabilities like semantic search and Retrieval-Augmented Generation (RAG).

Keywords: API mesh, data orchestration, GraphQL API, headless CMS, Jamstack, data pipeline, AI agent builder, front-end development, composable architecture, data integration, serverless, REST API, data modeling, enterprise data, AI-driven agents, RAG, semantic search, full-stack development, API unification, data transformation

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