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Custom development

When a standard agent is not enough,

we build your AI app.

we build your AI app.

We develop it for your use case: with your data and systems, operated permanently in the neuland.ai HUB.

Example · Data flow in quote review

Results in practice

SVT GmbH gains several weeks with its AI app.

SVT GmbH gains several weeks with its AI app.

The company runs its own application in the neuland.ai HUB and reports:

60 to 70%

lower review effort per document

SVT GmbH

We are now turning the several weeks of time we have gained into quality and higher productivity. The investment pays off from the very first order.”

Michael Schauerte, CEO of SVT GmbH

Michael Schauerte

CEO of SVT GmbH

From use case to application

Three steps to a productive application.

Three steps to a productive application.

Data sources, integrations and the operating model are settled before development begins. The illustrations show the example of a quote review.

Step 1

Initiation

Together, we identify the relevant use cases. The focus is on processes with real leverage, clear goals and a realistic benefit.

Step 2

Concept and architecture

We design the business and technical architecture. Data sources, integrations, security requirements and the operating model are defined up front.

Step 3

Development

We develop iteratively and integrate the result directly into the neuland.ai HUB, from the first prototype to productive use.

Step 1

Initiation

Together, we identify the relevant use cases. The focus is on processes with real leverage, clear goals and a realistic benefit.

Step 2

Concept and architecture

We design the business and technical architecture. Data sources, integrations, security requirements and the operating model are defined up front.

Step 3

Development

We develop iteratively and integrate the result directly into the neuland.ai HUB, from the first prototype to productive use.

Step 1

Initiation

Together, we identify the relevant use cases. The focus is on processes with real leverage, clear goals and a realistic benefit.

Step 2

Concept and architecture

We design the business and technical architecture. Data sources, integrations, security requirements and the operating model are defined up front.

Step 3

Development

We develop iteratively and integrate the result directly into the neuland.ai HUB, from the first prototype to productive use.

What makes your AI app

An AI app that keeps running after the project.

An AI app that keeps running after the project.

Not every workflow can be mapped with a standard agent. Then we combine a productive AI platform with targeted development where it is really needed.

Operated in the neuland.ai HUB

Operated in the neuland.ai HUB

Under the same permission management as your agents, in EU data centers, on‑premises or hybrid.

Connected to your systems

Connected to your systems

It works with your data from systems such as CRM, ERP or DMS, via connectors and APIs.

Developed further with you

Developed further with you

When new requirements arise, your Customer Success team expands the application with you.

Go to Customer Success

Fields of application

Fields of application where standard agents reach their limits.

Fields of application where standard agents reach their limits.

Make knowledge from long-established systems usable

Make knowledge from long-established systems usable

The AI app taps content from heterogeneous sources, from the old document management system to cloud tools, and makes it searchable in one place, without replacing existing systems.

Automate processes despite legacy IT

Automate processes despite legacy IT

The AI app connects emails, documents and line-of-business systems into end-to-end workflows, even when systems are inconsistent and intermediate steps are done by hand today.

Reliable decisions in regulated environments

Reliable decisions in regulated environments

It supports decisions in regulated environments with a traceable, auditable analysis of your documents and data sources.

AI that takes on tasks on its own

AI that takes on tasks on its own

It takes on tasks within fixed guardrails and works across internal and external sources; write steps wait for a human's approval.

FAQ

Questions about operation, duration and cost of development.

Questions about operation, duration and cost of development.

Who runs the finished application?

It runs permanently in the neuland.ai HUB, in the operating model of your choice: in EU data centers, on‑premises in your own infrastructure or hybrid.

Who runs the finished application?

It runs permanently in the neuland.ai HUB, in the operating model of your choice: in EU data centers, on‑premises in your own infrastructure or hybrid.

How long does development take?

That depends on the use case. We work iteratively, from the first prototype to productive use, and give you a time frame after the concept phase.

How long does development take?

That depends on the use case. We work iteratively, from the first prototype to productive use, and give you a time frame after the concept phase.

Does the solution fit our existing IT?

Yes. Already in the concept phase, we define data sources, integrations and the operating model so that the application fits into your existing system landscape.

Does the solution fit our existing IT?

Yes. Already in the concept phase, we define data sources, integrations and the operating model so that the application fits into your existing system landscape.

What does custom development cost?

We prepare the offer based on your use case. Individual development is an additional service, details in the pricing overview.

What does custom development cost?

We prepare the offer based on your use case. Individual development is an additional service, details in the pricing overview.

For which use cases is a dedicated AI app worth it?

Where standard agents reach their limits, for example: making knowledge from long-established systems usable, automating processes despite legacy IT, supporting decisions in regulated environments and taking on tasks that the AI completes on its own within fixed guardrails.

For which use cases is a dedicated AI app worth it?

Where standard agents reach their limits, for example: making knowledge from long-established systems usable, automating processes despite legacy IT, supporting decisions in regulated environments and taking on tasks that the AI completes on its own within fixed guardrails.

Who determines whether a standard agent is enough?

We check that with you: you describe the workflow and the systems involved, we clarify whether a standard agent is enough or a dedicated AI app is needed, and propose the first step.

Who determines whether a standard agent is enough?

We check that with you: you describe the workflow and the systems involved, we clarify whether a standard agent is enough or a dedicated AI app is needed, and propose the first step.

Does the AI app act without oversight?

No. It works within fixed guardrails; write steps wait for a human's approval.

Does the AI app act without oversight?

No. It works within fixed guardrails; write steps wait for a human's approval.

Who expands the application later?

When new requirements arise, your Customer Success team expands the application with you.

Who expands the application later?

When new requirements arise, your Customer Success team expands the application with you.

Your workflow is not standard.

Neither is your AI app.

We review it with you and show how a dedicated application takes it over.

Plan a solution

After your request

01

You describe the workflow and the systems involved

02

We check whether a standard agent is enough or a dedicated AI app is needed

03

You receive a proposal for the first step

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