Enterprise
Run the Archy AI Platform in your own environment
Some workflows cannot run on shared infrastructure. For those, the Archy AI Platform and any of its products can be deployed as PaaS into your environment, with your data fully isolated and the setup customised to your processes.
For architecture, security and platform teams evaluating AI workflows at enterprise scale.
The enterprise offer
Three commitments, for the platform and every product.
PaaS in your environment.
We deploy the platform, or the products you choose, into your environment as PaaS.
Full data isolation.
Your data is kept separate from other customers' data.
Customisation.
We adapt workflows, integrations and configuration to the way your organisation works.
Where it runs, how isolation is set up, what we customise and how it is supported are agreed for each deployment.
What you get
What every deployment includes, and what we tailor to you.
| Every enterprise deployment includes | Tailored to your organisation |
|---|---|
| The Archy AI Platform, or any of its products, deployed as PaaS in your environment | The environment and region it runs in |
| Full data isolation from other customers | The products and services you start with, and what comes next |
| Your own AI solutions built on the platform, around your processes | How isolation is set up for your organisation |
| One LLM provider or several, with your solutions insulated from provider changes | Which LLM providers and models you use |
| Built-in RAG and knowledge management, ArchyKnowledgebase when your knowledge lives in many systems and agents need to understand how concepts relate, and connections to your own RAG systems or vector databases | Which files, databases, object storage, other systems, RAG systems and vector databases ArchyKnowledgebase connects to |
| Connectivity through the platform MCP server and OpenAPI | Which of your systems connect, and how people sign in through your identity provider |
| Tracing, audit records and run history for every workflow | How that information reaches your monitoring |
| Customisation for your processes and integrations | Scope of customisation, support model and commercial terms |
Every enterprise deployment includes
- The Archy AI Platform, or any of its products, deployed as PaaS in your environment
- Full data isolation from other customers
- Your own AI solutions built on the platform, around your processes
- One LLM provider or several, with your solutions insulated from provider changes
- Built-in RAG and knowledge management, ArchyKnowledgebase when your knowledge lives in many systems and agents need to understand how concepts relate, and connections to your own RAG systems or vector databases
- Connectivity through the platform MCP server and OpenAPI
- Tracing, audit records and run history for every workflow
- Customisation for your processes and integrations
Tailored to your organisation
- The environment and region it runs in
- The products and services you start with, and what comes next
- How isolation is set up for your organisation
- Which LLM providers and models you use
- Which files, databases, object storage, other systems, RAG systems and vector databases ArchyKnowledgebase connects to
- Which of your systems connect, and how people sign in through your identity provider
- How that information reaches your monitoring
- Scope of customisation, support model and commercial terms
Tailored items are settled in discovery and written into your proposal.
Deployment overview
How an enterprise deployment fits together.
- ArchyAgents workbench
- Products
- ArchyKnowledgebase, the Data and Knowledge Platform
- The platform and your chosen products run inside your environment.
- They work with your data and knowledge sources, isolated from other customers.
- People sign in through the identity setup agreed for your deployment.
- Tools and systems connect through the platform MCP server and OpenAPI.
- If included, ArchyKnowledgebase gathers knowledge from your files, databases, object storage and other systems, maps the concepts in it and how they relate, and makes it available to your agents through advanced RAG pipelines. It can also connect the RAG systems or vector databases you already run.
- How operational information reaches your monitoring is agreed with you.
- The model providers and where they run are agreed with you.
Questions architects ask
The details we settle with you.
Each enterprise deployment is scoped individually. Here is what we cover in discovery.
Identity and access
Who can sign in, with which account, and what each role can see and do. We agree how the platform and each product you deploy connect to your identity provider, and how roles map to your teams.
Data handling
Your data is fully isolated from other customers. In discovery we document which data the platform stores, where it is stored, how long it is kept, and how it is removed at the end of the engagement.
Model providers
Your solutions can use one LLM provider or several, and the platform insulates them from provider changes. We agree which providers and models your deployment uses, and where requests are processed.
Audit and observability
Teams need to see what a workflow did and why. The platform records traces, audit entries and the history of agent workflow runs. We agree how long your deployment keeps them and how they reach the tools your operations team already uses.
Integrations
The platform connects through its MCP server and OpenAPI. Products bring their own integrations, such as WordPress import in ArchyPress, social network connections in ArchySocial, and Jira and Confluence (including export of PRDs and architecture documents) for ArchyAssistant. We agree which of them your deployment needs, and which of your systems connect to the platform.
Support
We agree support contacts, hours and escalation as part of your proposal.
Enterprise by product
Start with one product or the whole platform.
Every product page has its own enterprise section with the starting point for that product.
ArchyAgents
The workbench and user interface for the platform, in your environment.
ArchyAgents enterprise ArchyPress
Editorial publishing in your environment.
ArchyPress enterprise ArchySocial
The social post studio in your environment.
ArchySocial enterprise ArchyStarter
Initial product definitions from an idea, in your environment.
ArchyStarter enterprise ArchyAssistant
The AI assistant for Jira and its dedicated agents, in your environment.
ArchyAssistant enterprise ArchyKnowledgebase
Data pipelines, a knowledge graph, advanced RAG and your own RAG systems, in your environment.
ArchyKnowledgebase enterprise
Getting started
From first call to a running deployment.
Conversation.
Tell us about the workflows, the constraints and the products you are considering.
Discovery.
Together we define the architecture, data sources, integrations and constraints for your environment.
Proposal.
You receive a written scope covering deployment, customisation, support and commercial terms.
Deployment.
We set up the platform in your environment and keep it maintained and updated as agreed.
Frequently asked questions
The Archy AI Platform and its products — ArchyAgents, ArchyPress, ArchySocial and ArchyAssistant — as well as ArchyKnowledgebase and the standalone ArchyStarter application. You can start with one, add others later, and build your own solutions on the platform.
In your environment, as PaaS. The exact environment and region are agreed in discovery.
This is agreed in your proposal, together with maintenance and updates.
No. Enterprise deployments provide full data isolation. How isolation is set up for your organisation is documented in discovery.
Yes. Start with a technical walkthrough of one of your workflows, and try ArchyPress, ArchySocial, ArchyStarter or ArchyAssistant on your own work.
This page does not list certifications or compliance attestations. Tell us what your organisation requires, and we will tell you what we can evidence for your deployment.
Pricing depends on the products, the environment and the scope of customisation and support. You receive it in your proposal.
Enterprise
Tell us where the platform needs to run.
Share your environment, your constraints and the workflows you have in mind. We will come back with the questions that matter for a first scope.