HAIEC
SaaS · Enterprise
Holistic AI Ethics & Compliance. Deterministic governance engine for EU AI Act, NIST AI RMF, ISO 42001, NYC LL144.
From agentic workflows, voice AI, RAG and MCP integrations to AI compliance certifications and enterprise-scale delivery. Subodh KC, former Fortune 50 AI Strategy CTL, founder of KestrelVoice, co-founder of HAIEC. Dallas-based.
SaaS · Enterprise
Holistic AI Ethics & Compliance. Deterministic governance engine for EU AI Act, NIST AI RMF, ISO 42001, NYC LL144.
SaaS · Production
AI voice operations. Answer every call, book appointments, run the front desk 24/7.
SaaS · Live
Daily AI intelligence for CTOs. Strategic briefings on what shipped, what shifted, what matters.
npm · MIT
Runtime health monitor for LLM apps. Drift, hallucination risk, latency, JSON quality — drop-in for any client.
PyPI · MIT
Python distribution of llmverify. Audit + compliance checks for LLM outputs, same deterministic core.
Enterprise · SOC 2
Thousands of documents → one chronological timeline. AI extraction for legal discovery, claims, audits.
Desktop · Free
AI detection + permanent redaction of SSNs, cards, names, 50+ PII types. Local processing only.
Web app · Beta
Case files, deadlines, document packets. AI-assisted court evidence builder. Public beta.
Enterprise · Early access
Find the needle in a billion haystacks. AI pattern detection across terabytes of logs.
OSS · Windows
Queue web pages now, print them later. Free Windows app with browser extension.
OSS · MIT
Find unauthorized AI use across your codebase and stack. Telemetry-free, on-premise.
OSS · GitHub Marketplace
Static AI/compliance scan in your CI. Drop-in GitHub Action — fails the build on policy drift.
Private beta
Open-source intelligence layer for HAIEC. Public-signal AI-risk reconnaissance on any org or repo.
OSS · Apache 2.0
Tactical frameworks for decision-making — ResetFrame™, PM cheat sheet. Built for high-stakes rooms.
Private beta
AI-assisted patent drafting. Decompose ideas into atomic claims, forge defensible specifications.
Comprehensive guides to the AI regulations that matter most — informed by the HAIEC compliance engine and Zenodo-published research.
A Technical Methodology for Tracing AI Accountability Across Nine Abstraction Layers
Nine-layer technical specification for documenting instruction propagation from hardware to outputs. 127-checkpoint audit protocol, cryptographic verification, abstraction-distance risk scoring.
Why Reproducibility Matters More Than Accuracy
Reproducibility-first architecture for detecting linguistic bias in job descriptions. Rule-based pattern matching, version-controlled lexicons, cryptographic evidence generation for legally defensible documentation.
Institutional Lessons from Construction Governance for AI Risk Regulation
Analyzes institutional evolution of construction governance and applies structural lessons to AI risk regulation. Proposes a phased governance maturation model drawing from mechanization, electrification, occupational safety, professional licensing, and insurance enforcement.
A Framework for Production-Grade, Compliant AI
Practical framework for transitioning from AI experimentation to production systems that survive regulatory scrutiny.
A Systematic Analysis
Common architectural and organizational failure modes in enterprise AI adoption, with patterns and counter-patterns.
Bridging AI strategy, implementation, and governance
Comprehensive methodology bridging strategy, execution, and governance for enterprise-scale AI deployment.
Irregular updates on AI governance, compliance frameworks, and what's actually working in enterprise AI implementation. No spam. No fluff.
Join 500+ practitioners navigating AI compliance at scale