Organize company knowledge. Find what matters. Keep it current.
Precise Knowledge Management
The right information, with a clear source, current version and the right access.
We build systems that help teams find information in company documents, verify it against the source and work with current versions according to their access permissions.
The documents exist. The information still has to be assembled by hand.
Policies, instructions and reports live in different places. One document has several versions, another exists only as a scan, and the missing explanation sits with a colleague. Before using the information, people have to find it, confirm that it is current and check whether they are allowed to rely on it.
We connect the whole path from document to usable knowledge.
We process PDFs, scans and tables, connect extracted information to its source and version, configure access-aware search, and set up updates and quality checks. When an AI answer is useful, it is grounded in retrieved material and linked back to the document.
What changed
- Verifiable answers linked to the relevant document and passage
- Document processing that retains the structure of tables, sections and scanned layouts needed for search and review
- Fast hybrid search in PostgreSQL with pgvector and a choice of self-hosted or cloud embedding models
- Access controls and tenant boundaries applied when information is retrieved
- Clear version handling so superseded material can be removed from current results while updates are indexed
- Regression tests that check retrieval quality on agreed questions before changes reach production
Sources, current versions, access and quality are designed into the system.
Sources before answers
When the system generates an answer, it uses retrieved material and shows the supporting source so the user can verify it.
Quality checks before release
Regression tests measure search relevance and answer coverage on agreed domain questions before changes reach production.
Structure-preserving parsing
Extraction retains table hierarchies, column relationships and document flow where they are needed for search and review.
Database-enforced permissions
Tenant boundaries and access rules are applied during retrieval so results reflect what each user is permitted to see.
Controlled document versions
Superseded documents can be removed from current results while updated material is indexed in the background.
Infrastructure that fits the constraints
Use self-hosted models in private infrastructure or connect commercial APIs. We choose and tune the search architecture for the documents, access requirements and operating environment.
From a work question to the relevant place in a document.
A user finds the relevant passage together with the document, version and source link. If the available material does not support an answer, the system says so and provides a path for further review. Teams can measure search quality, update behaviour and access compliance.
Ways to work together
Knowledge System Build & Handover
Certo studies the documents and work scenarios, designs the processing and search architecture, establishes quality checks, and transfers a documented system to your team.
You own the code, data pipelines and test suites. Your team receives the documentation and operating process needed to maintain and extend the system.Knowledge System Development & Operations
Certo maintains document processing and updates, monitors search quality, investigates failures and develops the system as new material and use cases appear.
Quality measures, update times and responsibilities are agreed for each engagement and tracked throughout the work.Start with the information your team struggles to find.
Tell us which documents people use, who needs access and where delays or mistakes happen. We will identify a useful first scenario and define how to verify the result.