Complete data integration.
Deep visualisation.
Mnemosyne Intelligence Suite unifies graph analysis, temporal investigation, geospatial mapping, and LLM-assisted reasoning in one integrated platform — built for team investigations, deployed on your own infrastructure.
Intelligence analysis needs more than link charts
Understanding networks of people, organisations, and transactions requires graph algorithms, temporal reasoning, and geospatial context — capabilities that live in separate tools today.
Fragmented tools
Link analysis, mapping, timelines, and databases live in separate tools. Context is lost at every handoff. Relationships that span tools remain invisible.
Manual at scale
Identifying key players, detecting communities, and correlating temporal patterns requires algorithmic support. Manual review misses what algorithms find in seconds.
Vendor lock-in
Enterprise platforms require cloud connectivity and proprietary formats. Sensitive investigations need tools that work air-gapped, on-premise, under full control.
What changes
Mnemosyne Intelligence Suite addresses all three.
Graph, map, timeline, and AI share one model. Select once — every view follows. No copy-paste, no context lost.
Centrality, communities, anomalies — surfaced in seconds. The analyst directs; the platform computes.
Runs on your infrastructure. Sensitive work stays local; cloud models engage only when policy allows.
Data to intelligence in three steps
Import from any source. Analyse with algorithms and AI. Deliver structured intelligence products.
Import
Multi-source ETLCSV, JSON, REST APIs, STIX 2.1 bundles. Schema auto-detection. Three-stage entity resolution across sources.
Analyse
Graph + Temporal + GeoCentrality, communities, structural analysis. Temporal playback. Geospatial mapping. LLM reasoning. All views synchronized.
Deliver
Intelligence productsBriefs, network reports, entity profiles, risk assessments. Every finding traceable to source.
One semantic layer between your data and your decisions
Many sources converge into a single ontology — the narrow waist where objects, properties and links are defined. Analytics and applications fan back out from that one truth.
Dashboards, reports, alerts, workflows and agents — every product reads from the same ontology, so what one team sees, every team sees.
Analytical capabilities
Six capabilities operating on a shared ontology. Each handles a different analytical dimension. Results propagate across all views.
Graph Analysis
NetworksCentrality, communities, bridges — the structure behind the data.
Temporal Intelligence
TimePlayback, burst detection, change points — networks in motion.
Geospatial Mapping
PlaceLive maps with heatmaps and trajectories, wired to the graph.
LLM Integration
AI partnerAn LLM that reads the graph directly through structured tool calls.
Pattern Detection
SignalsLaundering structures, call-response chains, propagation patterns.
Data Ingest
SourcesMulti-source ingest with entity resolution into one semantic model.
Deep dive
Networks, decoded
Centrality metrics rank actors across multiple definitions — immediate reach, bridging importance, structural uniqueness. Modularity-based community detection reveals cluster structure at multiple scales; articulation points and bridges pinpoint the single links whose removal fractures the network.
- Centrality across multiple definitions — from direct reach to structural influence
- Modularity-based community detection, hierarchical
- Articulation points, bridges, structural holes, latent-link prediction
Five LLM analysis modes
Each mode builds on the previous. Chat discovers, Enrich refines, Anomaly surfaces, Report documents, Agent investigates.
Conversational Analysis
CHAT MODEAsk questions in natural language. The LLM queries nodes, runs algorithms, computes paths, and explains results — all through structured MCP tool calls. Every answer is grounded in graph data.
What you deliver
Traceable, structured outputs for analysts, case officers, or regulatory authorities.
Intelligence Briefs
Structured reports from graph data. Executive summary, findings, network analysis, timeline, recommendations.
Network Reports
Community structure, centrality rankings, bridges, structural holes. Visual maps with algorithm overlays.
Entity Profiles
Per-entity dossiers: properties, relationships, temporal activity, geospatial footprint, risk assessment.
Risk Assessments
Entity and network-level scoring based on centrality, community position, anomaly flags, temporal patterns.
Ready to see it in action?
Graph analysis, temporal playback, and LLM reasoning — in one browser-native environment.
Get in touch
Whether you are evaluating intelligence analysis tools, consolidating fragmented workflows, or exploring LLM-assisted investigation — describe your use case.