Ginkgo-AI
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Ginkgo-AI
The Control PlaneArgus Integration ServerSecurity & ComplianceAudit & Lineage
Root Cause AnalysisForensic AccountingPredictive Budgeting
Document IntelligenceEntity ResolutionAnomaly & Pattern DetectionRisk & Compliance AnalysisInvestigative Agents
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Home / Capabilities
Horizontal capabilities

Reusable capabilities,
governed by default

Five industry-agnostic capability modules that run on the control plane and power every vertical solution pack and Decision Module.

Looking for application-layer outcomes? Root Cause Analysis, Forensic Accounting, and Predictive Budgeting are Decision Modules — Layer 5 of the control plane.
Capability 1

Document Intelligence

Extract, classify, summarize, and compare unstructured documents at scale — with provenance to the source span and governance-layer classification applied at ingestion.

ExtractionClassificationSummarizationComparisonSource provenance
  • Contracts and agreements. Extract obligations, dates, and conditions across thousands of documents. Every extracted element cites the source paragraph.
  • Clinical notes and records. Summarize patient records with PHI classification enforced at Layer 3 before any content leaves the governed surface.
  • Regulatory submissions. Parse dense regulatory filings, cross-reference against requirements, and surface gaps — every finding attributed to the source document.
Capability 2

Entity Resolution & Relationship Mapping

Resolve the same entity appearing under different names or identifiers across disparate systems — and map the relationships between entities into a navigable graph.

Cross-system resolutionCanonical identityRelationship graphDisambiguation
  • Financial investigations. Resolve beneficial owners, affiliated entities, and transaction parties across ledgers, registrations, and correspondence — despite inconsistent naming.
  • Vendor and procurement. Identify duplicate vendors, related parties, and shell entities across procurement records before a finding becomes an audit issue.
Capability 3

Anomaly & Pattern Detection

Surface statistical outliers, behavioral anomalies, and emerging patterns in structured and semi-structured data streams — every flagged item attributed to the source record.

Statistical outlier detectionBehavioral pattern analysisTime-series analysisAttribution
  • Financial controls. Flag transactions that deviate from established patterns — amount, frequency, counterparty, or timing — before they accumulate into a material finding.
  • Claims and billing. Detect billing anomalies, duplicate claims, and pattern deviations across large populations — with examiner-ready output.
Capability 4

Risk & Compliance Analysis

Map organizational activities, policies, and controls against regulatory obligations — surface gaps, assess exposure, and produce documentation-ready compliance evidence.

Obligation mappingGap analysisControl assessmentEvidence packaging
  • Pre-audit preparation. Map existing controls to applicable requirements. Surface material gaps before the examiner does. Produce an evidence package in audit-ready format.
  • AI governance. Apply NIST AI RMF Govern, Map, Measure, and Manage functions continuously, not as a point-in-time assessment.
Capability 5

Investigative Agents

Autonomous, policy-bound agents that gather, correlate, and surface evidence across connected systems — every action logged before execution.

Policy-bound autonomyCross-system evidence gatheringCorrelationPre-execution logging
  • Complex investigations. Deploy an agent scoped to a specific investigation, operating across the Argus-connected data environment — every action logged, every inference cited.
  • Continuous monitoring. Standing agents that monitor specific conditions, surface emerging evidence, and escalate according to policy.

Which capability moves the needle for you?

Tell us the outcome you are chasing and we will show you the capabilities — governed end to end — that get you there.

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