Design Principles & Safeguards

Argus includes a pre-ingestion data quality scoring pipeline that validates incoming data before it enters the correlation engine. Each ingestion job tracks quality metrics including normalized field counts, connector capability coverage, and confidence thresholds. The correlation engine uses weighted features with configurable rulesets to assign records to confidence bands: Auto-Merge for high-confidence matches, Review for human verification, and Reject for low-confidence data. This prevents the "garbage in, garbage out" problem that caused a €10 million implementation failure in Norway.

Argus supports four deployment models: Cloud-Hosted SaaS (fully managed), On-Premises (agency-operated within your infrastructure), Hybrid (sensitive data on-premises with cloud compute for AI workloads), and Government Cloud (FedRAMP-ready authorized infrastructure). Feature flags enable gradual rollout and tenant-specific capability configuration.

Knogin is headquartered in Ireland and operates under EU legal jurisdiction. Unlike US-based vendors subject to CLOUD Act and FISA 702 compulsion, Argus cannot be legally compelled to provide European law enforcement data to non-EU governments. Configurable data residency ensures EU-only storage when required. GDPR and Law Enforcement Directive compliance is architectural, not contractual.

Argus uses transparent per-user monthly pricing with four tiers: Starter ($499/month for small agencies), Professional ($2,499/month for mid-size departments), Enterprise ($12,999/month for large agencies), and Mission-Critical ($49,999/month for national operations). No embedded consultants required. No hidden implementation fees. Usage monitoring dashboards provide complete cost visibility.

Yes. Argus supports standard export formats including JSON for structured data, CSV for tabular exports, and PDF/A-3 for court-ready evidence packages. GraphQL and REST APIs provide programmatic access to all data. There is no proprietary format lock-in. If you need to migrate, your data leaves with you.

The BWC Analytics domain provides native integration with Axon Evidence.com, Motorola WatchGuard, Utility/CoreForce, and Getac camera systems. Footage is automatically transcribed, analyzed for professionalism scoring and event detection, and can be exported as court evidence packages with cryptographic chain-of-custody verification.

Argus implements multi-model ensemble reasoning that runs multiple AI models in parallel and combines outputs with consensus scoring. Adversarial validation generates counter-hypotheses to challenge conclusions and reduce confirmation bias. Every AI output receives cryptographic provenance (SHA-256 hashing with RFC-3161 timestamping). Alternative explanations and uncertainty bounds are included in outputs. This architecture is designed for EU AI Act compliance and court defensibility.

Target deployment is 90 days from contract to operational status. Pre-built law enforcement domain models eliminate the ontology engineering that extends competitor deployments to 3-5 years. Feature flags enable gradual rollout, pilot with one unit, validate, expand agency-wide.

No. Argus is designed for agency operation with self-service configuration. The Administration & Configuration module provides tenant management, user administration, feature flag controls, and usage monitoring. Optional support packages are available but not required for operation.

Zero-trust architecture authenticates every request regardless of network location. Behavioral threat detection monitors for anomalous access patterns with automatic alerts. Tamper-proof audit logging uses cryptographic signatures to prove logs haven't been altered. Supply chain protection continuously monitors all dependencies for known vulnerabilities with Content Security Policy and Trusted Types to prevent code injection.