N2ONE AiA · Private LLMs on your data
Private LLMs. On your data. In your control.
Deploy a secure LLM stack in your tenant (Azure or on-prem). Bring your own models, connect governed data with RAG, and roll out agents with audit-ready guardrails.
Security & Compliance · Visit our Trust Center →AiA — Private LLM Appliance
Stand up a private LLM in your tenant to explore options and prove KPI impact on your own data.
What you can add
- Bring your model (Azure OpenAI, OpenAI, Anthropic, Llama, Mistral)
- RAG across files, SQL/Blob, SharePoint/OneDrive, web
- Prompt shields, PII/PHI redaction, policy guardrails
- Evaluation harness & quality dashboards
- Agents: chat, SQL query & reporting, workflow approvals
- Run your own use-cases
LLM add-ons: Coding · Support · eCommerce · ERP · Queries · RAG
Scale & Host on Azure (Private)
Private VNet, Key Vault, SSO, cost controls, autoscaling, monitoring — keep everything inside your tenancy.
Enterprise Scale & Compliance
SSO/SAML, RBAC, audit trails, encryption, residency — policy templates for regulated teams (Azure & FedRAMP environments).
Get the AI Blueprint
A practical plan to choose your model and data sources, set guardrails, wire RAG, and phase agents safely.
AiA · Private LLM Appliance
Make AI yours — securely, measurably, on your data.
Stand up a private LLM in your tenant (Azure or on-prem). Connect governed data with RAG, add policy shields, and scale with workflow agents. No SaaS lock-in — your security, your standards.
- Q1
Appliance live & secure — model endpoints, SSO/RBAC, logging, and policy shields.
- Q2
RAG & data model — wire contracts/lineage, key KPIs, and private retrieval.
- Q3
Multi-project ops — assistants in the flow (chat, SQL, approvals), eval dashboards.
- Q4
Scale & automate — agents with SLOs, quality gates, and residency controls.
Run in your tenant
Azure VNet / on-prem, Key Vault, monitoring; reuse your controls.
RAG across sources
Files, SQL/Blob, SharePoint/OneDrive, sites; governed retrieval.
Agents that obey
Chat, SQL & reporting, approvals — with audit trails.
Compliance ready
SSO/SAML, RBAC, redaction, residency; policy templates.
Why teams choose AiA
Optimize IT investments with a modern private-LLM stack.
Run in your tenant (Azure or on-prem), reuse your security controls, and scale costs only with usage— no SaaS lock-in, no shadow copies of data.
- Use existing SSO/RBAC, Key Vault, logging & monitoring
- Lower maintenance via standard connectors & data contracts
- Consolidate point tools with one governed assistant layer
Start simple. Scale when it works.
Ship one private-LLM workflow
Choose a model, connect 1–2 sources, go live with RAG and guardrails — with a before/after KPI readout.
- 1 assistant · 1 system · RAG
- Model routing & prompt policies
- Success criteria & evaluation baseline
- Fixed-scope monthly
Operationalize & add agents
Harden the pilot, add 1–2 workflows, monitoring & eval loops, approvals — optional LoRA/fine-tuning.
- Agents with approvals & SLOs
- Policy templates, lineage & dashboards
- Optional LoRA/fine-tune · quarterly reviews
Your AI. Your cloud.
Run in your Azure or on-premises environment — VNet isolation, encryption, audit, residency.
- SSO/SAML, RBAC, key management
- Audit log · quality thresholds · redress
- Quote-based annual
Governance that grows with you
All data stays in your tenant — physical server option or Azure cloud.
Data contracts & lineage
Declare sources, retention, and consent. See what the assistant can access and why.
Access & privacy controls
SSO/SAML, RBAC, least-privilege, PII/PHI redaction, data residency & retention.
Evaluation & quality
Safety filters and prompt shields with offline tests and dashboards for continuous improvement.
Trusted where accuracy matters
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