Scientific literature
Follow research areas, methods and publications.
RESEARCH INTELLIGENCE
Research & Surveillance
Organisations rarely lack information. The problem is identifying what actually matters.
Knowtive develops solutions that monitor, structure and prioritise information from relevant external sources — including scientific publications, patents, technologies, competitors, regulatory sources and technical signals.
01Sources→
02Acquisition→
03Deduplication→
04Entity extraction→
05Classification→
06Semantic matching→
07Ranking→
08AI summarisation→
09Alerts
RECURRING INTELLIGENCE
From search to ongoing intelligence
A one-off search answers a question now. Governed recurring surveillance follows a defined area over time with documented sources, consistent criteria and clear recipients.
Recurring searches, source provenance, deduplication and change detection create continuity. Relevance assessment, structured output and alerts make new findings usable.
01One-off search
VS.A bounded snapshot for a current question.
02Recurring surveillance
A governed process that detects, assesses and distributes change.
RESEARCH INTELLIGENCE
Multiple sources. One monitoring workflow.
Scientific literature, patent information, regulatory information, competitor activity and technology monitoring can be combined in one workflow and assessed against shared criteria.
Patent information
Identify patent families and technology positions.
Regulatory information
Monitor relevant change with clear provenance.
Competitor activity
Prioritise public signals by defined relevance.
Technology monitoring
Identify new concepts across varying terminology.
PATENT & LITERATURE SURVEILLANCE
Repeatable and traceable monitoring
Recurring searches find new records. Canonical identity and duplicate detection prevent repeated processing. Entity resolution consolidates name variants, relevance ranking prioritises results, and structured summaries support notifications.
ENTITY EXTRACTION
Find the meaning behind the words
Entity extraction can identify organisations, researchers, technologies, products and concepts. Semantic matching can surface relevant developments even when sources use different terminology.
A robust knowledge architecture makes those connections more consistent and explainable.
FROM INFORMATION NOISE TO SIGNAL
AI should reduce information overload — not create more
Filtering removes the clearly irrelevant. Classification organises findings. Ranking and prioritisation bring important items forward. Summarisation makes relevance faster to understand without replacing the source.
01Filtering
02Classification
03Ranking
04Summarisation
05Prioritisation
EXAMPLE — NOT A CUSTOMER CASE
Life-science surveillance across sources
A life-science organisation wants to follow a research area across publications, patents and other relevant sources. This is one knowledge-intensive example, not Knowtive’s only market.
01
Collect new records
02
Recognise duplicates
03
Identify relevant entities
04
Prioritise results
05
Create a weekly overview
06
Link back to sources
The workflow can connect to an AI Knowledge Assistant with verifiable sources.
POSSIBLE OUTPUT
A weekly overview designed for action
Output should make prioritisation easier while preserving source provenance.
WEEKLY INTELLIGENCE / UGE 32 Opdateret fredag 07:30
24New publications
08New patents
05Emerging topics
12Key organisations
HIGH-PRIORITY ITEMS
01Ny metode viser relevans for overvåget teknologiPublikation · relevans 94%Se kilde ↗
02Patentfamilie med nye krav identificeretPatent · relevans 91%Se kilde ↗
03Organisation øger aktivitet på kerneområdeMarkedssignal · relevans 86%Se kilde ↗
Knowtive makes knowledge useful.
Talk to Knowtive about intelligent monitoring
Start with the problem. Together, we can identify the combination of structure, search and AI that makes sense.
Let’s talk