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SERVICE 001

AI Application Development

Build AI-powered products around your data and workflows. We develop assistants, knowledge-search tools, document-processing applications, and custom interfaces, with attention to data access, evaluation, and useful outputs.

DiscussYour Build

Problem we solve

Useful AI products need more than a model call. Product teams must connect trusted data, clear user journeys, evaluation, access controls, and operator feedback into one application.

What Raum builds

Raum Network designs and develops AI applications for knowledge retrieval, document processing, assisted decisions, and task-specific interfaces. We work from user workflow through production integration.

Architecture and technology

001

Product interface and workflow design

002

Retrieval, data pipelines, and source controls

003

Model orchestration, evaluation, and guardrails

004

APIs, observability, deployment, and handover

Use cases

001

Internal knowledge and research tools

002

Document intake, extraction, and review workflows

003

Customer or operator-facing AI product features

Delivery process

001

Map users, decisions, data sources, and success criteria

002

Design a narrow working flow before expanding scope

003

Integrate data and model behavior with evaluation checkpoints

004

Test, document, and prepare release with operating owners

Engineering evidence

001

Source-aware answers and traceable application behavior

002

Evaluation cases agreed before production release

003

Access, failure, and escalation paths documented

SERVICE FAQ

Questions before scope starts.

Q.001What makes an AI application production-ready?

Clear user workflow, reliable data access, measured outputs, security boundaries, and ownership after launch. Model selection alone does not make product ready.

Q.002Can Raum work with existing AI tools?

Yes. Scope can include existing models, data sources, product interfaces, and engineering systems where integrations are technically appropriate.

START WITH CONTEXT

Bring product, system, and delivery constraints.

We will use them to define a technical scope, practical milestones, and next engineering step.

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