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JAIM GmbH builds secure, scalable AI solutions and orchestration layers for enterprises — combining AI, IAM, security, consulting, development, and training.
Putting artificial intelligence into production takes more than a language model. It takes a layer that connects models, enterprise data, applications, identities, and security controls — and that runs reliably, every day.
Building that layer yourself ties up a platform team, demands permanent operational readiness, and must stand up to data protection and regulatory scrutiny at any time. For many companies that effort is out of proportion to the actual goal: using AI inside their processes. The orchestration layer is infrastructure — not a competitive advantage.
01
Architecture, integrations, and a platform team of your own. Months pass before the first application goes live.
02
Availability, updates, model changes, and cost control. An ongoing duty, not a project.
03
GDPR, the EU AI Act, and auditability require controls and documentation that grow with every use case.
Identity & Access Management has already taken this path. Few companies still run their own identity infrastructure when they can consume it as a service. The same logic applies to AI orchestration.
JAIM provides the orchestration layer, connects it to your systems, and operates it for you. You keep control over your data, your permissions, and your use cases — without a platform team of your own. You book the layer, we run it. Your data stays yours.
The service covers every building block that sits between a language model and a working business process.
A single point of access to all language models. Depending on the use case we integrate additional AI models without anything changing for your applications.
Connectors to your business systems, documents, and knowledge sources. With targeted access instead of blanket permissions.
AI steps become part of existing processes: trigger, enrich, decide, write back.
Connected to your identity provider. What a user may not see in the source system, they will not see through the AI either.
Input and output validation, complete logging, protection against data leakage and prompt injection.
Traceable usage and transparent cost per department, process, and model.
The service is aimed at organizations that want to use AI in production without building the required platform themselves.
Four steps from the first conversation to running operations.
01
We clarify use cases, data sources, and permission and compliance requirements. The result is a binding scope.
02
We set up the layer, connect systems and identities, and take the first use case into production.
03
Availability, updates, model maintenance, monitoring, and support are handled by JAIM.
04
Further use cases run on the same layer — without a new project setup.
The first production use case is usually live within a few weeks.
Both paths lead to an orchestration layer. They differ in who builds it, who operates it, and who is accountable for it.
| Criterion | Build in-house | As a service |
|---|---|---|
| Time to first use case | Months | Weeks |
| Investment | Upfront build and operating cost | Predictable monthly cost |
| Staffing | Your own platform and operations team | No dedicated team required |
| Compliance evidence | Produced and maintained by you | Prepared and documented, included |
| New AI models | Changes to your own architecture | Included in the service |
| Scaling | Your own capacity planning | Grows with usage |
Would you rather build the orchestration layer yourself? Then our consulting and development offering is the right path.
Go to AI Orchestration ConsultingThe service is built so that you can defend it in front of data protection officers, auditors, and regulators.
What companies most often want to know before booking.
JAIM operates the orchestration layer: model access, connectors, guardrails, logging, and monitoring. Your systems, your data, and the authority over which use cases get built stay with you.
JAIM operates the entire service in Frankfurt am Main. Your data never leaves Germany. Data and environments are separated per customer and encrypted in transit and at rest.
No. Your content is processed solely to answer your requests and is never used to train models.
Yes. The service is vendor neutral by design. Depending on the use case we integrate additional models — including ones you provide yourself. The point of access stays the same for your applications.
That transition is anticipated. Configuration, workflows, and documentation are handed over, and we support your team through the takeover.
After the assessment we set up the layer and take the first use case into production. This usually happens within a few weeks.
The effort of operating and proving out your own AI platform grows with every new requirement. Consuming the layer as a service lets you start straight away with what actually matters: the use case.
You pay for usage, not for building.
Talk to us about your use cases. The initial consultation is free and without obligation.
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