Overview

Graft is an enterprise AI platform that creates an intelligence layer over organizational data. It enables teams to build production-ready AI applications—such as conversational search and data-driven insights—without requiring machine learning expertise or infrastructure management. By unifying structured and unstructured data, Graft empowers businesses to deploy sophisticated AI solutions that deliver measurable outcomes across various sectors.

Founder story

Graft was founded in 2021 by CEO Adam Oliner, who previously led AI efforts at Slack. Recognizing the gap between the excitement surrounding generative AI and the technical reality of building scalable applications, Oliner created Graft to remove the barriers to entry for businesses looking to operationalize AI without building complex infrastructure.

What it does

• • Unifies structured and unstructured data across 150+ sources, including text, images, audio, video, and graphs
• • Provides a model-agnostic platform supporting proprietary, open-source, or custom models without vendor lock-in
• • Features an intuitive chat interface for self-service knowledge discovery and data-driven decision-making
• • Offers templatized apps like visual search and customer champions for rapid deployment on customer data
• • Ensures enterprise-grade security and privacy, guaranteeing that customer data is never used to train shared AI models.

Who it's for

• Enterprise Engineering Teams
• Data Analysts
• Business Operations Leaders
• AI Product Managers

Why it works

• Removes the need for specialized machine learning expertise, allowing companies to deploy production AI in minutes
• Its intelligence layer integrates directly with legacy systems and SaaS tools, bridging the gap between data silos
• Model-agnostic architecture prevents vendor lock-in, enabling organizations to swap or upgrade models as technology evolves
• Provides secure, cited answers that are personalized by role, tone, and specific business instructions.

Growth strategies

• Scaling templatized AI apps to serve specific verticals like manufacturing, legal, and hospitality.
• Expanding deeper integrations with enterprise data stacks to capture growing volumes of unstructured information.
• Leveraging patents in neural networks and data management to differentiate from generic AI wrappers.
• Positioning as the enterprise bridge from AI experimentation to scalable, production- grade business value.

Alternatives

• Twilio Segment
• Workato
• UIPath
• Automation Anywhere

Comparison overview

• vs Twilio Segment: Twilio Segment focuses on customer data platform (CDP) infrastructure and event streaming, whereas Graft is specialized in building an intelligence layer for conversational AI and unstructured data analysis across enterprise knowledge bases.