
Graft served as an Intelligence Layer that operationalized foundation models over multimodal data. It connected internal documents, databases, and knowledge bases to AI models, enabling businesses to build production-grade solutions. The platform aimed to make it easy to apply AI technologies at scale for various use cases.
For exploring use cases, one user, 5,000 data points.
For small teams, up to 5 users, basic support, Google SSO.
Includes Starter features, 20 users, 15 API endpoints.
Customized plan for bigger teams or enterprise-grade features.
Last checked: 2026-03-09
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Graft is a paid tool. The Intelligence Layer for Enterprise AI
Graft served as an Intelligence Layer that operationalized foundation models over multimodal data. It connected internal documents, databases, and knowledge bases to AI models, enabling businesses to ...
Key features of Graft include: Foundation Model Operationalization, Multimodal Data Integration, Enterprise Knowledge Connectors, Scalable AI Solutions.
Graft is primarily designed for both businesses and individuals. The Intelligence Layer for Enterprise AI
Popular alternatives to Graft include Cohere, Google AI Studio, Mistral AI. Compare their features on Decod.tech to find the best fit.
Graft remains relevant in 2026. Graft served as an Intelligence Layer that operationalized foundation models over multimodal data. It connected internal documents, databases, and kno The pricing model is paid. Check reviews and comparisons on Decod.tech to decide.
Graft is offered as a paid tool. Detailed pricing is available on the official website. Check Decod.tech to compare with alternatives.