Evidence-based answers
The application links answers to the sources used, allowing users to check the context.
Company Knowledge & RAG
RAG and company knowledge search from INNOTECH, with source references, access controls and answer evaluation.
OUR APPROACH
Documents, instructions and technical documentation are often spread across different places. We design a controlled path from source to answer: content ingestion, search, retrieval and presentation of relevant passages. Source updates and access permissions are part of the project.

CONNECTING THE BIGGER PICTURE
We connect people, data and applications. From an agent that finds the right information to a workflow that handles repetitive tasks, we design AI for your actual environment.
Explore applications & AI AgentsWHAT WE DESIGN TOGETHER
The application links answers to the sources used, allowing users to check the context.
The design considers who may view each document and how access changes are kept up to date.
We test retrieval and answers separately, using real questions and cases where evidence is insufficient.
FROM NEED TO IMPLEMENTATION
Scope, deliverables and responsibilities are agreed before implementation begins.
Connect your company knowledge →We agree on the user, available data and acceptance criteria.
We examine behaviour, exceptions and costs before expanding usage.
We connect access, monitoring, training and operational responsibilities.
USEFUL ANSWERS
Let's answer the first questions.
The required behaviour is explicitly defined: the application should state that it lacks sufficient evidence rather than presenting a guess as company information.
RAG connects answer generation with retrieved sources. Any need for further model customisation is assessed separately and is not assumed.

LET’S MOVE FORWARD.
Describe your environment and objective. We will start with what matters to your project.