Your Private AI Infrastructure
We install, fine-tune, and maintain private & secure large language models (LLMs)—along with the automation, orchestration, and compliance frameworks that support them—inside your secured AWS, Azure, or Google Cloud.
Every prompt, process, and workflow remains within your perimeter.
If you don’t yet have a private cloud, Trinzik provisions and secures it for you.
Own it: Your AI runs inside your cloud, not a vendor’s.
Contain it: No external data sharing or public endpoints.
Operate it: Chat-style interface and local automations, fully private.
Evolve it: Add fine-tuning, retraining, or new models without disruption.
The Secure Way to Leverage AI
Trinzik installs and fine-tunes Private LLMs within your cloud—AWS, Azure, or Google—where every interaction remains contained and auditable.
No shared networks. No external telemetry. No accidental exposure.
What We Deliver
- Cloud setup and configuration (built or secured by Trinzik)
- Private LLM installation, fine-tuning, and validation
- Model hardening, monitoring, and optimization
- Custom React chat interface that looks like ChatGPT but runs entirely inside your perimeter
- Local agentic orchestration (e.g., n8n) for secure workflow automation
Your teams gain the same AI capabilities they expect—backed by full compliance, governance, and visibility.
Why Private AI
- Own, don’t rent: Your platform, in your cloud, under your control.
- Stop leaks by design: Security is structural, not behavioral.
- Lower total cost: Avoid seat-based enterprise pricing.
- Compliance built-in: SOC 2, HIPAA, GDPR, ISO 27001 aligned.
- Fast deployment: Typical go-live in ~4 weeks.
- Transparent audit trails: Integrates with your SIEM or monitoring stack.
- Scalable architecture: Add fine-tuning, RAG, or analytics as needs evolve.
- Upgrade safely: Update or replace models inside your perimeter.
Trinzik builds ownership.
Enterprise subscriptions rent access.
How Teams Use It
Teams use a secure, web-based chat interface running entirely inside your cloud. They can upload documents, summarize contracts, draft content, analyze data, or trigger automations; all contained within your infrastructure. Every action is logged and governed by your organization’s security framework.
Industries We Serve
Trinzik’s Private LLM platforms are built for organizations where data control, compliance, and auditability are essential:
- Law & Professional Services — Contract analysis, research, and drafting with no client-data exposure.
- Healthcare & Life Sciences — HIPAA-aligned automation and clinical documentation.
- Financial Services & Insurance — SOC 2–aligned compliance reporting and document intelligence.
- Higher Education & Research — FERPA-compliant research assistants and data governance automation.
- Public Sector & Government — GovCloud or on-prem deployments for secure records and citizen services.
- Enterprise & Manufacturing — Private automation for HR, operations, and supply chain workflows.
Each deployment is customized for your regulatory landscape and IT policies.
Enterprise AI Subscriptions vs. Private LLM
| Category | Enterprise AI Platforms (ChatGPT Enterprise, Copilot, Gemini) | Trinzik Private LLM & Automation Platform |
|---|---|---|
| Annual Cost | $100K+ (seat minimums, usage-based billing) | Infrastructure + Trinzik deployment (typically <25% of enterprise plans) |
| Cloud Ownership | Vendor-hosted, multi-tenant | Your AWS, Azure, or Google Cloud account (built by Trinzik if needed) |
| Data Retention | Logs/telemetry stored in vendor systems | All data stays inside your environment; no third-party access |
| Privacy Controls | Policy-based; user-dependent | Architectural containment; no toggles or opt-outs to manage |
| Automation & Orchestration | Limited external APIs | Local agentic workflows behind your firewall |
| Reranking/Search Models | Proprietary vendor APIs | Open-source rerankers hosted locally for zero exposure |
| Compliance Visibility | Vendor attestations | Direct alignment with SOC 2, HIPAA, GDPR, ISO 27001 under your governance |
| Deployment Timeline | Vendor-managed; variable | Fully operational in ≈4 weeks within your infrastructure |
| Upgrade Path | Controlled by vendor roadmap | Fine-tune, retrain, or swap models on your schedule |
FAQ
Q: Does Trinzik host our AI?
A: No. Trinzik installs and maintains your AI environment inside your cloud. You own and govern it.
Q: What if we don’t have a cloud environment yet?
A: We provision and secure one for you—AWS, Azure, or Google Cloud—and deploy your AI stack within it.
Q: Does any data leave our system?
A: No. All LLM operations, automations, and reranking occur within your infrastructure. External APIs are optional and fully auditable.
Q: Can Trinzik fine-tune our model on internal data?
A: Yes. We handle secure fine-tuning using anonymized or structured examples inside your cloud—no data ever leaves your perimeter.
Q: How long does deployment take?
A: Most projects reach production in about four weeks, including provisioning, configuration, and validation.
Q: Can we expand or upgrade later?
A: Absolutely. Trinzik’s modular architecture supports adding new models, automations, or orchestration layers at any time.
Own Your AI Infrastructure. Keep Your Data Private.
Trinzik delivers more than a model, we build a complete AI environment you own, running inside infrastructure you control. From cloud setup to fine-tuning, orchestration, and automation, every layer operates securely within your perimeter.