Retrieval can connect a question to relevant passages from your approved documents.
Find knowledge. See the source.

Ask a sample question of a small local demo knowledge base.
Interactive concept using sample data.
Your knowledge.
Your AI assistant.
Your Knowledge Base
Make approved documents and internal data easier to use.
Answers with Sources
Find relevant knowledge and make answers traceable.
Tailored Models
Select models and tools, with fine-tuning where it adds value.
Local Deployment
Plan hardware, access permissions and operation around your needs.
Your knowledge. Your AI assistant.
TOP PROJECT builds internal AI assistants with language models and a dedicated knowledge base. Depending on your requirements, the model and data can run locally or within your private infrastructure. The solution is designed around your information, access roles and available resources. Company knowledge is valuable but often scattered across folders, manuals and systems. An internal AI assistant makes it easier to reach: employees ask a question and receive an answer with relevant sources from approved information. We connect the model, retrieval and access roles around everyday work. Local deployment, private infrastructure and a tailored knowledge base are planned together. What matters is whether answers are useful, verifiable and permitted for the person asking.
Put company knowledge within reach
Source references make an answer easier to verify. The assistant can decline when evidence is missing.
A local deployment can keep document processing on your infrastructure when configured without external APIs.
We assess usefulness against an agreed workflow using your content and systems.
Find a practical starting point – small tasks from 100 € ↗Choose your use case.
Choose a goal and explore an example workflow that can be tailored to your business.
- 01Ask a question
- 02Retrieve permitted sources
- 03Check the answer
Your next step: we assess this workflow against your content, systems and requirements.
- 01Choose a task
- 02Find guidance
- 03Open the source
Your next step: we assess this workflow against your content, systems and requirements.
- 01Describe the task
- 02Use company knowledge
- 03Approve the draft
Your next step: we assess this workflow against your content, systems and requirements.
What you receive
- Agreed sources, access roles and update process
- Assistant with source retrieval and clear answer boundaries
- Evaluation questions, operating plan and handover
What shapes the scope
Hardware, data preparation and permissions are major scope drivers. Fine-tuning needs a clear justification; a knowledge base often works without training the base model.
Estimate your project ↗Internal knowledge base+
We organise approved documents, manuals and data sources into a searchable knowledge base, with planned updates and access permissions.
Answers with sources+
A retrieval-augmented generation system can use relevant company information and show its sources. We evaluate answers against your use cases and allow the assistant to acknowledge uncertainty.
Tailored language models+
We select an appropriate model and adapt instructions, tools and workflows. Fine-tuning is considered when suitable data and a measurable benefit justify it.
Local operation & access+
Running on your own hardware or private infrastructure depends on the model and requirements. Performance, maintenance, permissions and any external connections are agreed in advance.
Clear Goals
Planned together
The Right Tools
Built with purpose
Clear Handover
Tested and explained
From the idea
to a useful solution
- Understand
- Design
- Test & hand over
We clarify goals, users and existing systems. Together, we decide which problem to solve first.
We shape the workflow and user experience. A prototype or focused pilot makes the idea testable early.
We test the agreed functions, document the solution and help your team prepare to use it.
Your project.
Step by step.
TOP PROJECT builds internal AI assistants with language models and a dedicated knowledge base. Depending on your requirements, the model and data can run locally or within your private infrastructure. The solution is designed around your information, access roles and available resources.
Development
02
Project stage- Prototype & Feedback
- Development & Integration
- Testing & Review
What would you like to make possible?
LLMPrivate company GPT & LLM
AI / AUTOMATIONProcess automation & AI
CHATBOTSBusiness chatbots
WEBWebsites & software
TOURSVirtual 3D tours
MOBILEMobile apps & PWA
ARVRAR & VR
IOTIoT & smart city
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