Smart Document Intelligence
Makes unstructured PDF archives searchable, extracts key fields, and links knowledge across documents.
Faster Answers
Find the right passage across files with semantic search—not just keywords.
Reusable Data
Turn PDFs into structured fields your systems can process.
Decisions With Context
Linked knowledge shows relations between documents, people, and cases.
What is the challenge?
Most companies sit on valuable information locked away in unstructured PDFs — classic dark data. Traditional search finds file names and keywords, but not meanings or relationships. Document Intelligence turns hidden knowledge into searchable, usable insight.
What is the solution?
We combine structured data extraction with semantic search. On upload, AI extracts key fields (e.g., total price, date, vendor) for precise filtering. In parallel, Document Intelligence understands content and answers natural‑language questions across documents.
- Structure booster: Extracts key fields from PDFs/scans for table‑like filters.
- Knowledge agent: Semantic search returns answers, not just hit lists.
Real‑world use cases
- Procurement: Filter offers by price/date, compare maintenance scope — faster shortlists.
- HR & Recruiting: Filter candidates by criteria, detect skills even without keyword matches.
- Contract management: Find expiring contracts, identify auto‑renewal clauses — reduce risk.
- Real estate & assets: Filter by area/ZIP, analyze reports semantically — precise matching.
Why invest now?
- Less search time: Up to 80% faster research through semantic answers.
- Better decisions: Structured comparability replaces gut feeling.
- Fewer errors: No manual copy‑over from PDFs.
- Scalability: Works from 10 to 10,000 documents with the same effort.