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Harness Diverse Intelligence Sources to Stay Ahead of Evolving Cybercrime
Paques Data Fusion Platform is an all-in-one analytics intelligence platform that unifies data scraping, crawling, analysis, and visualization, powered by advanced AI and machine learning. Its deep learning capabilities bring context and knowledge to every analysis, enabling superior sentiment analysis, hoax detection, and comprehensive monitoring of cybercrime activities.
Designed for data fusion at scale, it consolidates intelligence from social media analytics, web media, financial data pools, and secure digital environments into a single, trusted foundation. With Bahasa Indonesia–ready Natural Language Processing (NLP), Paques Data Fusion Platform makes sense of data across languages, formats, and forums, transforming vast and complex datasets into actionable insights for countering cybercrime.
Paques Data Fusion Platform Architecture
Identify early indicators of illicit digital activities through continuous, real time intelligence monitoring.
Fuse insights from multiple sources: financial data pool, social media analytic data pool & crawler, and secure data environments—into one trusted view
Uncover relationships and hidden networks through comprehensive intelligence analysis
Accelerate forensic investigations with a centralized environment built for investigative teams
Paques Data Fusion Platform User Interface
Direct access to financial data pools, fraud transaction systems, and institutional reports
Social media (Twitter/X, Facebook, etc.) and online news portal
Telegram, WhatsApp, and other private forums (where legally accessible)
Credential marketplaces, illicit trade forums, and covert communities
PDFs, CSVs, XMLs, JSONs, and more
Identify narratives, influence clusters, and key actors across digital ecosystems
Continuously evaluate entities with dynamic risk profiling
Integrate intelligence from financial data pools, social media analytics, crawler feeds, and secure environments into a unified view
Monitor evolving conversations and detect early shifts in sentiment or issue lifecycles
Expose hidden relationships across accounts, transactions, and entities to reveal complex fraud rings
Deliver real-time alerts, risk indicators, and cross-institutional investigative workflows
Detect, profile, and monitor coordinated bot activities
Correlate and analyze threat data from hidden online communities and marketplaces
Preserve and analyze financial evidence with complete chain of custody integrity for comprehensive cybercrime investigations and regulatory requirements
Deduplicate and match‑merge entities (names, addresses, IDs) using probabilistic matching for a single source of truth
Continuously refine detection and analysis through machine learning
Ensure responsible data handling aligned with governance and regulatory standards
Gain a single, comprehensive perspective across financial data pools, social media, private communications, and dark web communities—making it easier to detect and monitor cybercrime activities while eliminating blind spots
Receive real-time alerts enriched with context and relationship mapping to act decisively when time matters most
Collect, preserve, and trace digital evidence with the rigor required for investigative and legal standards
Operate confidently with enterprise‑grade governance, evidence handling, and data protection standards fully embedded
Menara MTH, 18th Floor
Jl. M.T Haryono Kav. 23,
Jakarta 12820 Indonesia
+6221-8378 2364
info@paques.id
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