Archia

D-

Compliance-ready MCP execution layer and runtime for building and deploying AI agents at enterprise scale with security-first architecture.

HQUS

Est2025

Size1-10

EU AI ActLimited Risk

Score

23.3 / 100

Evidence

2 items

Early-stage safety posture — basic practices exist but significant gaps remain.

Weaknesses:Governance Maturity, Technical Safety, Risk Assessment, Regulatory Readiness, External Engagement

Focus Areas

ai infrastructureagent deploymententerprise aisecurity

Safety Profile

Dimension Breakdown

Governance Maturitymedium

Published policies, corporate structure, safety mandate, whistleblowing, executive commitment.

1 evidence items

GM-01

Technical Safetymedium

Benchmarks, adversarial robustness, fine-tuning safety, watermarking, model cards, research output.

1 evidence items

TS-04

Risk Assessmentlow

Dangerous capability evaluations, thresholds, external testing, bug bounty, halt conditions.

Regulatory Readinesslow

ISO 42001, EU AI Act compliance, GPAI obligations, international commitments, incident reporting.

External Engagementmedium

Survey participation, research support, transparency, behavior specs, open-source contributions.

Indicator-level evidence, peer benchmarking, regulatory gap analysis, and quarterly monitoring.