What is Locstat LightWeaver and how does it work?

Locstat LightWeaver is a graph intelligence platform for analysing high-volume, complex data, including fraud, AML, customer analytics, supply chain, and location intelligence use cases. It works by ingesting batch and streaming data, applying graph analytics, AI/ML, event rules, and geospatial processing to detect patterns and risks in real time.

What countries does Locstat LightWeaver operate in?

Locstat LightWeaver is based in Cape Town, South Africa, and the product materials reference use with African clients such as Stanbic Bank Uganda and other Zimbabwean payment-related companies. Broader country availability is not clearly specified.

Who is Locstat LightWeaver best suited for?

Locstat LightWeaver is best suited for enterprises that need graph-based analytics and real-time risk detection, especially banks, financial institutions, insurers, fintech and regtech teams, payment platforms, retailers, logistics and supply chain operators, telecoms, and law enforcement organizations.

How do I contact Locstat LightWeaver support?

You can contact Locstat at info@locstat.co.za.

Does Locstat LightWeaver have a plan for teams or businesses?

Yes, Locstat LightWeaver is positioned for business and enterprise use, but a specific team plan or pricing tier is not publicly listed.

Does Locstat LightWeaver offer an API or integrations?

An official public API or API documentation is not listed. The platform does support integrations through data capture and onboarding from batch sources, real-time streams, message queues, sensors, and third-party systems.

Locstat LightWeaver: Overview, Features, Pricing & Funding

Locstat LightWeaver is a graph intelligence platform for organisations that need to analyse high-volume, complex data, including financial crime, transaction monitoring, customer analytics, supply chain, and location intelligence use cases.

Key capabilities include:

Flexible data capture and onboarding for real-time streams and batch data from disparate sources, including sensors, message queues, and third-party systems, with an integrated data lake.
Graph analytics and visualisation built on graph database technology, with support for Apache TinkerPop and Gremlin for graph traversal, helping teams explore relationships between entities such as people, organisations, and transactions.
Complex event processing using no-code, dynamic rules that model logic, time, uncertainty, and graph algorithm metrics to detect patterns and trigger alerts.