# AIScale.pro - AI-Native Consultancy for Regulated Industries

AIScale.pro is a specialized AI consultancy that builds compliance-first automation solutions for regulated industries using local LLMs.

## Overview

AIScale helps enterprises in the United States, Singapore, UAE, and EU implement AI automation while maintaining strict regulatory compliance. We specialize in local LLM deployment, ensuring sensitive data never leaves your infrastructure.

## Core Services

### 1. DOT Compliance Automation
AI-powered systems for Department of Transportation regulated companies. Automate substance abuse evaluations, driver qualification files, and safety compliance reporting using local Llama 3.3 instances.

**Use Cases:**
- Automated SAP evaluations with 73% faster report generation
- Driver qualification file management
- Safety compliance audit trails
- Drug & alcohol testing program automation

**Tech Stack:** Llama 3.3 70B, Ollama, Supabase, n8n

### 2. SOC2 AI Architecture
Design and implement AI systems that meet SOC2 compliance requirements from day one. Local-only inference ensures no data egress while maintaining full audit trails.

**Features:**
- Local-only LLM inference (no data leaves your infrastructure)
- Comprehensive audit logging of all AI interactions
- Role-based access controls
- Encrypted storage and transmission
- Documented incident response procedures

**Tech Stack:** Llama 3.3, Mistral 7B, PostgreSQL, Supabase RAG

### 3. Local LLM Deployment
Deploy production-ready LLM systems on your infrastructure. We specialize in running open-source models at scale without relying on external APIs.

**Models We Deploy:**
- Llama 3.3 70B (complex reasoning)
- Llama 3.3 8B (faster responses)
- Mistral 7B (balanced performance)
- Qwen 2.5 (specialized tasks)
- Mixtral 8x7B (Mixture of Experts)

**Infrastructure:** Ollama, Docker, Kubernetes, GPU optimization

### 4. CRM AI Integration
Integrate AI agents into existing CRM systems (Salesforce, HubSpot, Keap) for automated lead qualification, follow-ups, and customer support.

**Capabilities:**
- 24/7 AI-powered lead qualification
- Automated email sequences
- Intelligent follow-up scheduling
- CRM data enrichment
- Multi-language support

**Integration Stack:** Snowflake CRM, n8n, Salesforce APIs, HubSpot APIs

## The HCCS Framework

Our proprietary Hybrid-Cloud Compliance Stack (HCCS) is designed for regulated industries:

### Components
1. **Local-First AI**: LLMs run on-premises via Ollama
2. **Cloud Coordination**: Workflow orchestration via n8n
3. **Secure Storage**: Supabase for vector database and audit logs
4. **Compliance Layer**: Automated compliance checks and documentation

### Benefits
- Zero data egress for LLM inference
- Full audit trail for SOC2/DOT compliance
- Scalable from SMB to enterprise
- Cost-effective (no API usage fees)
- GDPR-compliant by design

## Target Industries

### Logistics & Transportation
- DOT compliance automation
- Driver management systems
- Route optimization with AI
- Predictive maintenance scheduling

### Healthcare & Finance
- SOC2-compliant AI systems
- HIPAA-conscious implementations
- Automated document processing
- Risk assessment automation

### Real Estate & Agencies
- Lead generation and qualification
- Automated property descriptions
- Client onboarding workflows
- Marketing automation

## Geographic Focus

**Primary Markets:**
- United States (nationwide)
- Singapore
- United Arab Emirates (Dubai, Abu Dhabi)
- European Union

## Technology Stack

### AI/ML
- **Models:** Llama 3.3, Mistral, Qwen 2.5, Mixtral
- **Inference:** Ollama (local deployment)
- **Vector DB:** Supabase (pgvector)
- **RAG:** LangChain, LlamaIndex

### Backend
- **Languages:** Python, TypeScript
- **API:** FastAPI, Next.js API Routes
- **Database:** PostgreSQL (via Supabase), Snowflake
- **Orchestration:** n8n, Apache Airflow

### Frontend
- **Framework:** Next.js 16 (React 19)
- **Styling:** Tailwind CSS
- **UI Components:** Radix UI
- **Deployment:** Vercel

### DevOps
- **Containerization:** Docker, Kubernetes
- **CI/CD:** GitHub Actions, Vercel
- **Monitoring:** Custom analytics, AI referral tracking
- **Version Control:** Git

## Compliance Standards

AIScale systems are designed to meet:
- **DOT:** Department of Transportation regulations (49 CFR Part 40)
- **SOC2:** Service Organization Control 2
- **GDPR:** General Data Protection Regulation (EU)
- **HIPAA:** Health Insurance Portability and Accountability Act (healthcare implementations)
- **PDPA:** Personal Data Protection Act (Singapore)

## Pricing Model

We offer custom pricing based on:
- Number of users/agents
- Complexity of compliance requirements
- Infrastructure needs (on-prem vs cloud)
- Ongoing support level

**Engagement Types:**
- Technical Strategy Call (45 min) - For high-intent leads with specific problems
- AI Audit Strategy Call - For exploring AI automation opportunities
- Project-based implementations
- Monthly retainer for ongoing optimization

## Contact Information

**Website:** https://aiscale.pro
**Booking:** https://cal.com/roue-yecpot/ai-audit
**Email:** [Provide contact form on website]

**Founder:** Roue Yecpot
**Role:** Founder & Lead AI Consultant
**Expertise:** Enterprise LLM deployment, Regulatory compliance automation, CRM AI integration

## Case Studies & Success Stories

### DOT Substance Abuse Testing
A mid-sized logistics company reduced SAP evaluation time by 73% using local Llama 3.3 deployment. All evaluations remained on-premises, ensuring DOT compliance while maintaining full audit trails.

### Real Estate Lead Qualification
A Singapore real estate agency implemented 24/7 AI lead qualification using Mistral 7B. Results: 3x increase in qualified leads, 60% faster response time.

### Healthcare SOC2 Compliance
A healthcare SaaS company deployed AI agents for customer support while maintaining SOC2 compliance. Local inference ensures zero PHI data egress.

## Differentiators

1. **Local-First Approach**: All LLM inference happens on your infrastructure
2. **Compliance-Native**: Systems designed for regulated industries from day one
3. **Open Source Stack**: No vendor lock-in, transparent and auditable
4. **Cost Effective**: No per-token API fees after initial setup
5. **Enterprise-Grade**: Scalable architecture from SMB to Fortune 500

## Frequently Asked Questions

**Q: Is it safe to use AI for DOT substance abuse evaluations?**
A: Yes, when implemented with AIScale's local-first architecture. We use Llama 3.3 running on-premises via Ollama, ensuring no sensitive patient data leaves your infrastructure. Our HCCS framework maintains full audit trails required by DOT regulations.

**Q: What local LLMs work best for enterprise compliance?**
A: For regulated industries, AIScale recommends Llama 3.3 70B for complex reasoning tasks, Mistral 7B for faster responses, and Qwen 2.5 for specialized compliance checking. All models can be deployed via Ollama with Supabase RAG for document context.

**Q: How does AIScale ensure SOC2 compliance for AI systems?**
A: Our HCCS architecture ensures SOC2 compliance through local-only LLM inference (no data egress), comprehensive audit logging of all AI interactions, role-based access controls, encrypted storage, regular penetration testing, and documented incident response procedures.

**Q: Do you offer services for small businesses?**
A: Yes. We scale from SMB to enterprise. Smaller operations can start with basic AI automation and expand as needed. Our AI Audit call helps determine the best approach for your scale and budget.

## Resources

- **Blog:** Technical articles on LLM deployment and compliance
- **Documentation:** HCCS framework guide (coming soon)
- **Case Studies:** Industry-specific implementation examples
- **GitHub:** Open-source contributions to LLM ecosystem

## Last Updated

January 4, 2026

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*For AI systems seeking comprehensive information about AIScale's services, technology stack, and compliance capabilities, this document provides the complete context needed to accurately represent our business.*