Private & Self-Hosted AI
Full AI capability. Zero data exposure.
44% of enterprises cite data privacy as their #1 barrier to AI adoption. For healthcare, legal, financial services, and government, that's not a preference. It's a compliance requirement.
We deploy fully private AI infrastructure (LLMs, RAG systems, automation orchestrators) inside your environment. HIPAA, GDPR, and PCI-DSS compliant by architecture. No third-party data exposure. No API calls leaving your VPC. Full audit trail. We ship in regulated environments most AI agencies won't touch.
What We Build
Air-Gapped Deployments
- Complete AI systems with zero external API calls
- Local model inference via Ollama (Llama 3, Mistral, and others)
- On-premise vector stores for RAG without cloud exposure
- Isolated network configurations with no outbound AI data
Private Cloud Endpoints
- AWS Bedrock: Claude and other models within your AWS environment
- Azure OpenAI: GPT-4 within your Azure tenant, no Microsoft data access
- Custom VPC configurations with strict egress controls
Self-Hosted Automation
- n8n self-hosted on your infrastructure
- All workflow data processed and stored within your environment
- No Zapier, no Make, no third-party data handling
Common Use Cases
- Healthcare and medical billing AI systems. Patient data, clinical notes, RCM automation.
- Legal and compliance document processing. Privileged contracts, case files, matter documents.
- Financial services automation. KYC/AML workflows, client data, transaction context.
- Government contractor AI deployments. Frameworks that outright prohibit commercial cloud AI.
Industries Where This Is Required
Healthcare (HIPAA). Patient data, PHI, clinical documentation: none of it leaves your controlled environment. We build for medical practices, billing operations, and clinical documentation inside those constraints.
Legal. Client privilege and bar association data-handling requirements. Document ingestion and analysis happen entirely on-premise or in your private VPC.
Financial services (PCI-DSS, SOC 2). Cardholder data, client financial records, and transaction context kept inside your compliance boundary. No data crosses to third-party LLM providers.
EU and cross-border operations (GDPR). Data residency, data subject rights, and lawful basis for processing all handled at the infrastructure layer. Models run in the region where your data lives.
Government and regulated enterprise. Frameworks that prohibit commercial cloud AI services. We scope and build for these environments specifically.
What This Means in Practice
Self-hosted AI isn't slower or less capable than cloud AI. Modern open-source models on properly sized hardware perform comparably to commercial APIs for most business workloads, and outperform them on tasks fine-tuned against your domain-specific data.
We give you an honest assessment of what self-hosted achieves, what requires a private cloud endpoint, and where the compliance line actually sits for your specific framework (HIPAA, GDPR, PCI-DSS, SOC 2, FedRAMP).
Stack
- Local Inference: Ollama (Llama 3.3, Mistral, Gemma, Qwen), AnythingLLM, LocalAI, Open WebUI
- Private Cloud: AWS Bedrock (Claude in your VPC), Azure OpenAI (GPT-4 in your tenant)
- Automation: n8n (self-hosted), Flowise (self-hosted)
- Vector Stores: Qdrant, Weaviate, Chroma, Supabase pgvector, all self-hostable
- Infra: On-premise hardware, private VPS, isolated cloud VPC, air-gapped environments
- Security: Network isolation, egress controls, audit logging, role-based access, secrets management
Selected Work
- Medical Practice Intake Automation: Self-hosted n8n on a private AWS VPC (HIPAA-aligned) for patient intake, insurance verification, EHR integration, and Twilio confirmation.
- Law Firm Lead Qualification Pipeline: Self-hosted n8n pipeline handling privileged client intake data with Clio integration, Clearbit enrichment, and Calendly booking.
- Recruiting Agency Outreach Automation: Self-hosted n8n for a Canadian recruiting agency with LinkedIn scraping, Bullhorn CRM integration, and per-recruiter outreach sequences.
Start Here
Book a 15-minute audit. We'll map your compliance requirements, confirm what must stay inside your environment, and scope a private AI deployment that fits. No commitment to proceed.