Enterprise knowledge search
Give employees one interface for finding information across documents, SaaS applications, support systems, and structured data.
Independent tool overview
Graft at a glance
Graft is an enterprise intelligence platform that connects company data and documents so teams can search, ask questions, summarize, extract, classify, predict, and build AI-assisted workflows.
Visit the official Graft site ↗
- Best for
- Organizations unifying search and AI workflows across internal systems
- Core use cases
- Enterprise search, Q&A, summarization, extraction, classification, and generation
- Integrations
- 150+ advertised data integrations plus APIs
- Security
- SOC 2 Type II; tenant isolation; encryption at rest and in transit
- Pricing
- Plan and quote based; confirm current terms with Graft
Overview
What Graft is
Graft is designed for organizations that want to apply AI to internal knowledge and operational data without building every data pipeline, retrieval system, model integration, and user interface themselves. It connects business systems and documents, then exposes that information through search, conversational answers, generative workflows, predictive classification, and APIs.
The platform advertises more than 150 data integrations, including systems such as Slack, Google Drive, Salesforce, Jira, Confluence, Zendesk, Amazon S3, Snowflake, MongoDB, and GitHub. Teams can add business-specific instructions, labels, feedback, and chained steps to make the resulting apps more relevant to their own processes.
Graft is best evaluated as an enterprise platform rather than a lightweight chat subscription. A successful rollout depends on source permissions, content quality, ownership, evaluation, and adoption—not merely connecting a model to a document repository.
Use cases
Who Graft is best for
The strongest fit depends on the job you need the product to complete, not the size of its feature list.
Document intelligence
Summarize, extract, classify, and generate content from large collections of business documents.
Operational AI workflows
Combine retrieval, predictions, prompts, feedback, and APIs into repeatable processes for support, analytics, and internal operations.
Capabilities
Core Graft features
Connected intelligence layer
Bring knowledge from many company systems into a shared search and AI experience.
Conversational answers with sources
Ask questions in natural language and follow links back to the underlying company documents or data.
Search across structured and unstructured data
Use semantic retrieval, metadata filters, and generated SQL where appropriate to answer different kinds of questions.
Generative and predictive apps
Create first drafts, extract information, summarize files, and classify items such as tickets, feedback, or emails.
Feedback and active learning
Use corrections and team feedback to tune classifications and improve application behavior over time.
Model and API flexibility
Use different foundation models for different jobs and integrate Graft capabilities into other systems through APIs.
Process
How the Graft workflow works
Step 1
Choose one measurable use case
Start with a bounded workflow such as support-answer retrieval, policy search, or feedback classification and define a quality baseline.
Step 2
Connect and scope sources
Add only the required systems, preserve access controls, and identify owners for stale, conflicting, or sensitive content.
Step 3
Configure and evaluate
Teach the application the needed labels and instructions, then test answers and predictions against a representative review set.
Step 4
Roll out with monitoring
Launch to a controlled group, review source quality and failure cases, and expand only after accuracy and adoption meet the target.
Cost
Graft pricing and free plan
Graft's public materials describe Starter, Grow, and Enterprise-style offerings, but they do not present one clearly current, unified price list across the site. Treat pricing as plan or quote based and confirm seats, AI-request allowances, integration needs, API access, support, and contract terms directly with Graft before purchasing.
Starter
Confirm with Graft
An entry configuration for a small team beginning with a limited number of seats and AI requests.
- Validate the current seat and request allowance
- Confirm included connectors and support
- Ask whether a trial or self-serve start is currently available
Grow
Confirm with Graft
A broader team plan with higher usage and additional reporting or integration capabilities.
- Confirm API access and usage caps
- Model cost against active users and request volume
- Verify annual renewal and overage terms
Enterprise
Custom quote
A customized deployment for larger organizations with governance, security, scale, and service requirements.
- SOC 2 Type II report is available to Enterprise customers under NDA
- Confirm SSO, tenancy, data residency, support, and professional services
- Request a quote based on sources, users, workloads, and contract length
Pricing checked . Check current pricing at the source ↗
Assessment
Graft strengths and limitations
Where it stands out
- Covers search, conversational answers, generation, extraction, and prediction rather than offering only a generic chatbot
- Connects a broad set of structured and unstructured enterprise sources
- Provides source links and multiple retrieval approaches for more inspectable answers
- Graft states that customer data is isolated by tenant and is not used to train its models
What to consider
- The public website does not provide a single transparent current price table, making direct cost comparison difficult
- Connecting many systems can amplify stale, duplicated, conflicting, or incorrectly permissioned information
- Useful results require source governance, evaluation data, workflow ownership, and ongoing feedback
- Vendor claims about time savings and accuracy should be validated with the organization's own content and users
- Model, connector, and API costs or limits may depend on the selected plan and implementation
Compare
Graft alternatives
The right alternative depends on the specific output, workflow, controls and budget your project requires.
Business Operations
Dust
Consider Dust for configurable team assistants and workflows grounded in company knowledge.
Explore Dust →Project Management
Notion AI
Consider Notion AI when most team knowledge already lives in Notion and a lighter integrated workflow is sufficient.
Explore Notion AI →Business Operations
Gemini Enterprise
Consider Gemini Enterprise for Google Cloud-centered enterprise search, agents, and governance.
Explore Gemini Enterprise →Questions
Graft FAQs
What is Graft AI?
Graft is an enterprise intelligence platform for connecting business data and documents to search, conversational Q&A, summarization, extraction, classification, generation, and API-based workflows.
What data sources does Graft connect to?
Graft advertises more than 150 integrations. Its public examples include Slack, Google Drive, Salesforce, Jira, Confluence, Zendesk, Amazon S3, Snowflake, MongoDB, GitHub, PDFs, and custom APIs.
How much does Graft cost?
Graft's public site does not provide one clearly current unified price list. Confirm the current plan, seat, usage, API, support, and contract terms directly with Graft.
Does Graft use customer data to train its models?
Graft's security page says it does not use customer data to train its models and that models trained for a customer's apps and use cases are accessible only by that customer's team.
Is Graft SOC 2 compliant?
Graft states that it is SOC 2 Type II compliant. Its security page says the report is available to Enterprise customers under NDA.
Can Graft answer questions from structured data?
Yes. Graft says its conversational workflow can translate certain questions into SQL and combine that with semantic search and metadata filtering across connected sources.
Bottom line
Our Graft verdict
Graft is most compelling for organizations that need more than a document chatbot and are willing to operationalize data access, evaluation, and governance. Its combination of enterprise search, source-linked Q&A, generative apps, predictive workflows, and APIs is broad. Buyers should run a scoped pilot and obtain a written price and implementation plan before committing.
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