What Linkurious is

Linkurious is a French web-based graph visualization platform headquartered in Paris. Founded in 2013, the company sells primarily into the financial fraud, anti-money-laundering (AML), enterprise intelligence, and cybersecurity markets. Customers include major European banks (HSBC, BNP Paribas), French government anti-fraud agencies (ANTAI), and the International Consortium of Investigative Journalists (used the platform for Panama Papers and Paradise Papers analysis). Linkurious does not store its own data — it is a visualization layer that connects to an existing graph database, typically Neo4j or a compatible store. Pricing is enterprise-only and opaque, with deployments typically running $25,000–$100,000+/year per organization including professional services for setup.

Why Linkurious is in a different category from MemoryJar

Linkurious is sold to organizations that already have an IT department, an enterprise procurement office, an established graph database deployment (or budget to build one), and a multi-month implementation timeline. The buyer is a CISO, CDO, or fraud-prevention director — not an individual analyst. The implementation requires standing up Neo4j or a compatible graph database, importing data into that graph database via ETL pipelines, configuring Linkurious as the visualization layer, training analysts on the web UI, and ongoing operations to maintain the database and the application. MemoryJar is sold to individual analysts and small teams who install a desktop application and start working in 60 seconds. The deployment model, target buyer, price tier, and procurement complexity are different by design.

When Linkurious is the right answer

If your organization already runs Neo4j at scale, has dedicated graph engineers, and has a regulatory or operational need to query graphs of millions of entities — Linkurious is purpose-built for that scenario and MemoryJar is not. MemoryJar's data layer (encrypted local store for solo mode, embedded database for team mode) handles tens of thousands of nodes per workspace comfortably. For workflows involving millions of entities — large-scale AML across an entire bank's transaction history, for example — a graph-database-backed visualization tool is the right architectural choice, and Linkurious is one of the strongest options in that category.

When MemoryJar is the right answer

If your work involves analyst-built investigations rather than database-backed graph queries — a case file, a threat-intel report, a fraud investigation, an executive protection workup, a workflow analysis, an architecture review — MemoryJar's per-workspace model is the right fit. The analyst builds the graph by adding entities and relationships, attaches notes and evidence, runs analytics on the graph (Louvain communities, PageRank, shortest path, indirect correlations), and exports a court-ready evidence package. There is no graph database to provision. There is no IT department to coordinate with. There is no $25,000 minimum to clear before evaluation can begin.

Supply chain consideration

Linkurious SAS is a French company. For US federal customers under Section 889, EU vendors face additional review. For US Department of Defense customers, country-of-origin is a documented procurement consideration. For most US commercial customers, French vendor origin is acceptable but adds a step to vendor reviews. MemoryJar's American-made provenance simplifies the procurement story for US-only buyers.