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Kednus

Kednus provides an AI-native audit control platform for regulated digital asset operations, offering deterministic reconciliation, audit-grade evidence lineage, and post-quantum-ready cryptography to streamline compliance workflows. The platform integrates agentic AI surveillance with configurable evidence retention, and three of its subsystems carry provisional patent applications. It is designed to fit existing compliance systems, reducing audit cycles by 80% for enterprises.

Seattle, United States · HQ
6300+ followers
Updated yesterday

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Regulated digital asset operations face increasingly complex compliance requirements, including AI governance, anti-money laundering, and data lineage standards. Traditional audit processes are slow, manual, and lack the deterministic evidence trails needed to satisfy examiners and regulators across frameworks like EU AI Act and ISO 42001.

Solution

Kednus engineers an audit control framework specifically for regulated digital asset operations, combining deterministic reconciliation, audit-grade evidence lineage, and post-quantum-ready cryptography. The platform runs real-time agentic AI surveillance that monitors model bias, drift, and agent boundaries, then generates immutable evidence with full lineage. It slots directly into existing compliance workflows via a federated GraphQL API gateway, with per-tenant rate limiting and full audit trails on every invocation. Users can connect, configure, and map to frameworks like EU AI Act, ISO 42001, or SOC 2, then activate continuous monitoring and automated audit report generation.

Target Audience

Primary customers are enterprise digital asset operations, including VASPs, regulated trading platforms, and Big 4-grade audit firms that need continuous compliance monitoring and audit-ready evidence across multiple regulatory frameworks.

Features

  • Deterministic reconciliation engine that matches transactions with verifiable, reproducible results for examiner review
  • Agentic AI surveillance covering model bias checks, drift detection, and agent boundary audits across distributed systems
  • Post-quantum-ready cryptography integrated into the evidence ledger for future-proof data protection
  • Configurable long-horizon evidence retention with immutable, hash-linked audit trails
  • Compliance API Gateway (CAG-15) using GraphQL federation, OAuth 2.0/OIDC authentication, and persisted-query identifiers
  • AML/CFT Monitor (AMP-01) with sanctions screening, deduplicated alert generation, and composite risk scoring for high-volume VASP workloads
  • Real-time analytics dashboard showing compliance rate, audit speed, data accuracy, and cost reduction metrics
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