AIScale Proprietary Framework

Hybrid-Cloud Compliance Stack

Enterprise AI architecture for regulated industries

Deploy AI automation while maintaining zero data egress, full audit trails, and regulatory compliance (DOT, SOC2, HIPAA, GDPR)

What is HCCS?

The Hybrid-Cloud Compliance Stack (HCCS) is AIScale's proprietary framework designed specifically for deploying AI in regulated industries. It solves the fundamental conflict between AI innovation and regulatory compliance.

HCCS combines local-first AI inference (no data leaves your infrastructure) with cloud-based orchestration (for workflows, integrations, and management). This hybrid approach delivers the benefits of AI automation while maintaining strict compliance requirements.

Four-Layer Architecture

1

Local-First AI Layer

LLMs run on-premises via Ollama. Llama 3.3, Mistral, and other models execute entirely within your infrastructure. Zero data egress for inference.

2

Cloud Orchestration Layer

n8n workflows connect AI to your business systems. Automated triggers, conditional logic, and multi-step processesβ€”without touching sensitive data.

3

Secure Storage Layer

Supabase provides vector database (RAG), audit logs, and encrypted document storage. Full search capabilities with SOC2-grade security.

4

Compliance Automation Layer

Automated compliance checks, audit trail generation, role-based access controls, and incident response procedures. Built for DOT, SOC2, HIPAA, GDPR.

Key Benefits

πŸ”’ Zero Data Egress

All LLM inference happens on your infrastructure. Sensitive data never leaves your controlled environment for AI processing.

πŸ“Š Full Audit Trails

Every AI interaction is logged with timestamp, user, prompt, response, and metadata. Immutable logs for auditor review.

πŸ’° Cost Effective

No per-token API fees after initial setup. Predictable infrastructure costs scale with usage, not with external vendors.

🎯 No Vendor Lock-in

Open-source models and standard APIs. Switch models or optimize for your specific use case without rewriting integrations.

⚑ Low Latency

On-premises inference eliminates network round-trips. Sub-100ms response times for real-time applications.

πŸ” Compliance by Design

Architecture is compliant from day one, not as an afterthought. Built for DOT, SOC2, HIPAA, GDPR requirements.

Technology Stack

AIModels & Inference

  • β€’ Llama 3.3 70B & 8B
  • β€’ Mistral 7B
  • β€’ Qwen 2.5
  • β€’ Ollama (local inference)
  • β€’ Docker / Kubernetes

☁️Orchestration

  • β€’ n8n (workflows)
  • β€’ Apache Airflow
  • β€’ FastAPI (custom)
  • β€’ Webhook integrations
  • β€’ API connectors

πŸ—„οΈData & Storage

  • β€’ PostgreSQL
  • β€’ Supabase
  • β€’ pgvector (RAG)
  • β€’ Snowflake CRM
  • β€’ Encrypted storage

πŸ”Security & Compliance

  • β€’ RBAC (access controls)
  • β€’ MFA authentication
  • β€’ Audit logging
  • β€’ Encryption (AES-256)
  • β€’ Penetration testing

Ideal Use Cases

πŸš›

Transportation

DOT compliance automation, driver management, safety reporting

πŸ₯

Healthcare

HIPAA-compliant AI, patient support, document processing

πŸ’Ό

Finance

SOC2 architecture, risk assessment, compliance automation

🏒

Real Estate

Lead qualification, document generation, client communication

🏭

Manufacturing

Quality control, safety compliance, predictive maintenance

🎯

Agencies

Client onboarding, workflow automation, reporting

Implement HCCS in Your Organization

Schedule a free consultation to discuss how HCCS can solve your compliance challenges while enabling AI automation

Book HCCS Consultation