---
title: Sign Up For a Free Trial of The Graph.Build Platform
description: This is the sign-up page for the Graph.Build free trial.
---

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Menu

- Platform
- AI context
  
  [Context for AI](https://graph.build/ai-context) [Semantic layer](https://graph.build/semantic-layer) [GraphRAG](https://graph.build/graphrag) [MCP & agent access](https://graph.build/mcp) [Ontologies explained](https://graph.build/resources/ontology)
- Resources
  
  [Blog](https://graph.build/blog) [Graph fundamentals](https://graph.build/resources) [Documentation](https://graph.build/documentation)
- Company
  
  [About us](https://graph.build/about) [Consulting](https://graph.build/consulting-services) [Contact](https://graph.build/contact)

[Book a demo](https://graph.build/enquire/book-a-demo)

Model

[Studio](https://graph.build/graph-build-studio) [Visual graph modelling](https://graph.build/graph-modelling-tool) [Ontologies & vocabularies](https://graph.build/platform-architecture#ontology)

Transform

[Transformers](https://graph.build/graph-build-transformers) [Knowledge graph ETL](https://graph.build/knowledge-graph-etl) [Change data capture](https://graph.build/graph-build-transformers#cdc)

Write

[Writers](https://graph.build/graph-build-writer) [Database compatibility](https://graph.build/graph-databases) [Deployment](https://graph.build/platform-architecture#deployment)

You are here

[The graph engineering lifecycle](https://graph.build/knowledge-graph-building)

Design, configure, engineer, iterate and automate graph model production: the whole lifecycle, without writing bespoke ingest code for each project.

Model

[Studio](https://graph.build/graph-build-studio) [Visual graph modelling](https://graph.build/graph-modelling-tool) [Ontologies & vocabularies](https://graph.build/platform-architecture#ontology)

Transform

[Transformers](https://graph.build/graph-build-transformers) [Knowledge graph ETL](https://graph.build/knowledge-graph-etl) [Change data capture](https://graph.build/graph-build-transformers#cdc)

Write

[Writers](https://graph.build/graph-build-writer) [Database compatibility](https://graph.build/graph-databases) [Deployment](https://graph.build/platform-architecture#deployment)

AI context

[Context for AI](https://graph.build/ai-context) [Semantic layer](https://graph.build/semantic-layer) [GraphRAG](https://graph.build/graphrag) [MCP & agent access](https://graph.build/mcp) [Ontologies explained](https://graph.build/resources/ontology)

Resources

[Blog](https://graph.build/blog) [Graph fundamentals](https://graph.build/resources) [Documentation](https://graph.build/documentation)

Company

[About us](https://graph.build/about) [Consulting](https://graph.build/consulting-services) [Contact](https://graph.build/contact) 

[Book a demo](https://graph.build/enquire/book-a-demo)

Free trial

# Fourteen days of the platform, in your own account

The trial is the real thing rather than a sandbox: Studio, the Transformers and a Writer, deployed where your data already is. There is nothing to download and no account to create, because it runs in your infrastructure rather than ours. It starts with a conversation, and most people get more out of it if that conversation is a demo first.

[Book a demo first](https://graph.build/enquire/book-a-demo) [Ask about the trial](https://graph.build/sign-up/free-trial#form)

Get in touch

## Tell us where it needs to run

Which cloud, and roughly what you want to load. That is enough for us to send the right guide and to have something useful to say when we reply. If you would rather see it before you deploy it, say so here and we will set up a demo instead.

- You are sent the next-steps guide straight away
- A person replies to help with the deployment
- Fourteen days from the day it is running, not from today

length

 14 days

runs in

 your AWS, GCP or own hardware

includes

 Studio, Transformers, a Writer

rather see it first

[book a demo](https://graph.build/enquire/book-a-demo)

questions

[explore@graph.build](mailto:explore@graph.build)

trial enquiry name, work email, target cloud

This is a message to us, not a login. There is nothing to log into: the platform runs in your account. You get the guide immediately and a person shortly after.

What you get

## All three component types, not a viewer

A trial that can only model is a trial that cannot answer the question people actually have, which is whether the graph ends up in their database.

### Studio

The visual modelling environment. Design an ontology or a property graph schema, import one you already have, and generate the mappings from it.

produces OWL, RML, R2RML

### Transformers

Point them at your own sources. SQL, Kafka, JSON, CSV, XML, spreadsheets and REST all have a Transformer, and they apply the mapping the model produced.

output RDF or CSV

### A Writer

Loads the result into your graph database over SPARQL, Cypher or Gremlin. This is the step that turns a trial from an evaluation into something you can show people.

targets your database

### Help getting it running

Someone from the team walks the deployment with you and stays reachable for the fortnight. The point of a trial is a real result, and a fortnight spent on a Helm chart is not one.

support for the full 14 days

Before you ask

## What people check first

[Ask something else](https://graph.build/contact)

Should I do this or book a demo?

A demo, almost always, and then this. Forty-five minutes on your own domain with nothing to install will tell you more than the first three days of a trial, because it answers whether the platform fits your problem before you spend a fortnight finding out. Come to the trial knowing what you want to build and the fourteen days are worth having.

Do I get a login immediately?

No, and that is deliberate rather than a queue. The platform runs inside your own account, so there is nothing for us to log you into. Sending this form gets you the next-steps guide, and we get in touch to help stand it up in your environment.

Where does it run, and what does it need?

On AWS, on Google Cloud, or on your own hardware. The components are containers, so the requirement is somewhere to run containers and network access to whichever sources and graph database you want to use. The architecture page has the detail.

Does my data leave our infrastructure?

No. That is the main reason the trial is deployed rather than hosted. Sources are read inside your account, transformed inside your account, and written to a database inside your account.

What happens at the end of the fourteen days?

Nothing automatic and nothing deleted from your side. Whatever you modelled is a set of standard files, OWL and RML, which are yours either way. If you want longer because a source took a while to get access to, ask.

Can we extend it, or run a second one later?

Yes to both, and neither is unusual. Getting access to a source inside a large organisation routinely takes longer than the trial does, and a fortnight that was mostly spent waiting for a database credential is not a fortnight anyone learned from. Ask.

Platform

[Studio](https://graph.build/graph-build-studio) [Transformers](https://graph.build/graph-build-transformers) [Writers](https://graph.build/graph-build-writer) [Database compatibility](https://graph.build/graph-databases) [Platform architecture](https://graph.build/platform-architecture)

AI context

[Context for AI](https://graph.build/ai-context) [Semantic layer](https://graph.build/semantic-layer) [GraphRAG](https://graph.build/graphrag) [MCP & agent access](https://graph.build/mcp) [Ontologies explained](https://graph.build/resources/ontology)

Resources

[Blog](https://graph.build/blog) [Graph fundamentals](https://graph.build/resources) [Choosing a graph database](https://graph.build/graph-databases) [How to build a knowledge graph](https://graph.build/knowledge-graph-building) [Documentation](https://graph.build/documentation)

Company

[About us](https://graph.build/about) [Consulting](https://graph.build/consulting-services) [Contact](https://graph.build/contact)

Legal

[Privacy policy](https://graph.build/privacy-policy)

Get in touch

No newsletter. If you want to talk about a model, or want to be kept posted, the contact form is the way in.

[Contact us](https://graph.build/contact)

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