TakeShape

TakeShape offers a data-first platform that connects, transforms and activates data spread across enterprise systems, and exposes it as a runtime for AI agents. The platform combines a universal API connector supporting REST, GraphQL, OpenAPI and AWS Lambda endpoints with a data pipeline that handles mapping, transformation and normalization into a combined data model. Data is then indexed and vectorized to support semantic search, contextual discovery and retrieval-augmented generation.

On top of this data layer, the product provides multi-LLM agent orchestration, coordinating specialized agents (for example data processing, analysis and action agents) through a runtime orchestrator with function calling, guardrails and evaluations. Unified data and tools are surfaced through GraphQL and MCP endpoints with governance rules intended to control agent access, while OpenTelemetry-based observability, tracing and runtime monitoring cover both the pipeline and the agents.

The company frames its product against four obstacles it says enterprises face when adopting agents: data siloed across platforms such as Shopify, Salesforce, Stripe and Zendesk; integration complexity; gaps between legacy backends and modern frontend experiences; and difficulty moving generative AI beyond proofs of concept into production.

Business model

TakeShape sells a platform product to enterprises, with website conversion paths consisting of booking a demo and starting a free trial.

Traction

The company lists Comcast, GE, Valvoline, JFKT4, Adoorn and Better Health among organizations it identifies as customers or industry leaders using the platform.