Themis by Intellidata Intelligence that surfaces what matters.
Themis applies typology-driven analytics and machine learning across fraud, AML, CTF and behavioural risk to produce prioritised, defensible decisions. It surfaces risk that warrants attention.
- Detection typologies
- 0+Detection typologies
- Golden data sources
- 0+Golden data sources
- Fewer false positives
- Up to 0%Fewer false positives
- Investigator output
- 0×Investigator output
It is not a monitoring tool.
It is a financial crime intelligence platform.
Traditional systems detect transactions.
Themis understands behaviour.
Traditional systems escalate volume.
Themis prioritises quality.
Traditional AI overlays sit on legacy architecture.
Themis was architected for AI from inception.
Powered by explainable AI and machine learning. From detection, to investigation, to decision.
Built for precision in regulated environments
Less noise, more true positives, and outputs that hold up under scrutiny.
Data ingestion and modelling
Integrates with core banking, payments, insurance, CRM and ERP environments and external intelligence feeds, normalising data into a structured analytical model without disrupting operational systems.
Typology-driven detection
More than 550 typologies and analytical models across fraud, money laundering, collusion, syndication, terrorist funding and behavioural anomaly scenarios.
Behavioural and machine learning models
Supervised and unsupervised techniques, behavioural scoring, entity profiling and network mapping surface the patterns static rules cannot.
See a network in Maestro's link analysisRisk scoring and prioritisation
Every case is risk-weighted and ranked by likelihood, severity and behavioural indicators, so investigators work high-value cases rather than alert volume.
Explainability and governance
Model outputs are traceable to their underlying drivers, so every risk decision can be justified internally, externally and to the regulator.
Deployment flexibility
Cloud, hybrid and on-premise, aligned to your security framework, data residency requirements and governance standards.
How Themis works
From raw client data to continuously improving AI models - every step designed for precision and explainability.
One number, eight profiles
Network mapping in one picture: details customer records share, like a phone number or an email address, join them into one network, a hop at a time. Redrawn from part of a network in Maestro's link analysis, on synthetic data.
Hops from the number
8 profiles in view
Trace a link
The whole network on that screen resolves to 29 parties, 15 shared identifiers, 66 links and 4 hops.
See the screen it comes from: exhibit M-05Every score comes apart
A risk score that cannot be explained is a liability. Each one decomposes into the typologies that produced it, scored on the scale they share.
Maestro ships light and dark, so every screen here comes in both.
Proof before commitment
Measurable output on your own data, benchmarked against your current process, before any full-scale commitment.
Rapid time to value
Proof of Value delivered in days. Full productive deployment in under three months.
Self-learning
Models improve with every deployment and every case resolved.
No third-party lock-in
Designed entirely in-house. No expensive external dependencies required to go live.
Built for your industry
Deployed. Measured. Proven.
A selection of engagements where Themis has been applied, across sectors, regions and mandates. All clients remain confidential.
$20.1M USD fraud identified
Funeral Policy Analysis
SADC · 5-year claims period reviewed
$2.8M USD fraud identified
Private Medical Scheme Analysis
APAC
$70K USD fraud identified
Boutique Medical Scheme Analysis
SADC · 3-year claims data
Medical Scheme Administrator
SADC · 17 funds · 3-year claims data
South African Bank Analysis
South Africa · Engaged by a top-5 global auditing firm
Financial Services Firm
SADC · Financial crime analysis and case management
National Election Fraud Analysis
West Africa · Assessment of potential systemic election fraud
COVID-19 Relief Fund Forensics
SADC · Risk profiling of potential relief fund beneficiaries
State-Owned Entity
SADC · Medical fraud, syndication and collusion detection
Engagement details are presented in anonymised form in accordance with client confidentiality agreements. Findings reflect fraud identified through Themis analysis, not necessarily total fraud exposure.
Intelligence must prove itself.
A Proof of Value delivers measurable insight within days - risk-prioritised outputs benchmarked against your current process, with full transparency on signal quality and investigative efficiency.
- No disruption to operations
- Measurable insight within days
- Explainable outputs from day one