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Platform

Your infrastructure, your choice

Some teams can run in our cloud. Others must keep data in their own Azure or on site. The value is the same way of working, with the control you actually need, without the product becoming three different systems.

The same colleagues. The control your information requires.

SaaS, your Azure or an on-site server is not a taste question. It is where the drawing and the order may sit. You choose by requirement, not by a demo. Colleag.ai is the same product in all three. You will recognise the salesperson who only had one hosting story, and the security lead who said no.

On-premises deployment

Run Colleag.ai entirely on your own servers. Your data never leaves your network. This option is suitable for organizations with strict data sovereignty requirements or air-gapped environments.

Microsoft Azure deployment

Deploy in your own Azure tenant, leveraging your existing Microsoft infrastructure and security policies. Colleag.ai integrates with Azure Active Directory, Azure DevOps, and other Microsoft services your team already uses.

Hybrid and cloud options

For teams that want the convenience of managed infrastructure with control over sensitive data, hybrid deployment keeps product data on-premises while using cloud compute for processing. Fully managed cloud deployment is also available for teams that prefer it.

Key benefits

  • On-premises deployment for full data sovereignty
  • Azure deployment in your own Microsoft tenant
  • Hybrid options that keep sensitive data local
  • Managed cloud deployment for teams that prefer simplicity
  • Same functionality regardless of deployment model

Read more

Where should product knowledge live, with you, in your Azure, or as SaaS? Colleag.ai is the same product in all three. It is not an ERP you move to the cloud, and not a PLM with a new hosting line. It is the colleagues, and the data stays inside the boundary you set.

Product knowledge can sit with you, in your Azure, or as SaaS. Colleag.ai is the same product in all three. What you choose is where the boundary sits for the files and the ERP read, not a new ERP in the cloud.

It is not a PLM with a new hosting line. The colleagues, the SOPs and the read-only Monitor connection come along. The data stays where you put it.

How this differs from ERP, PLM, LCM and project systems

ERP
ERP hosting is a different business. Colleag.ai reads your ERP where it already runs.
PLM
On-prem PLM does not decide where AI context may live.
LCM
An LCM licence does not set data sovereignty for the agents.
Project management systems
Jira Cloud is not an answer to where the drawing may be processed.

What Colleag.ai does here that those systems do not

  • The same capability wherever you run it
  • Data does not cross the line you set
  • No model training on your files

See it in action

Book a 30-minute demo and see how Colleag.ai handles this for your team.

Book a demo