Private AI Governance Infrastructure

The Private AI Governance Platform for Regulated Enterprises

Prevent EU AI Act fines of up to €35M and eliminate €4M in annual shadow AI losses — deploy governed AI inside your own infrastructure at fixed cost.

Calculate Your Shadow AI Exposure
Shonix control plane: workspace views, data flow, and governance inside your environment

Shadow AI Is Already Costing Enterprises Millions

$4.6M

Average cost of a single AI-related breach incident for major enterprises.

+$670K

Increase in breach cost directly attributed to Shadow AI implementations.

€35M

Potential EU AI Act penalties reaching 7% of global annual revenue.

$4M+

Cumulative annual Shadow AI exposure for standard large enterprises.

Private AI Infrastructure

Private AI Infrastructure for Enterprises

Run large language models and agents entirely inside your air-gapped or on-premises perimeter—on dedicated systems where prompts, embeddings, and model artifacts stay within the boundary your security team defines, with no third-party training on your data.

  • Data residency & perimeter control — Keep prompts, embeddings, and outputs within contracts you already sign with customers and partners.
  • Identity & existing stacks — SSO, RBAC, and audit exports align with how security teams already operate—without opening an unmanaged egress path to public AI APIs.
  • Governed inference — Policy, redaction, and logging sit in front of models so Shadow AI is replaced by an approved path.

See the Private AI architecture for how governance, private LLM capacity, and the enterprise platform fit together.

Private AI platform: operational dashboards and governed copilots inside your environment

Platform UI: governed workspaces—not shared public inference endpoints.

Architecture

The Private AI Architecture

A unified control plane for your AI lifecycle—from private inference to compliant fine-tuning entirely inside your perimeter. Security, infrastructure, and AI teams share one view of what runs where, with no raw data leaving your air-gapped boundary.

  • Private inference engine

    High-throughput, low-latency inference on your hardware, with zero raw data leaving your environment.

  • Air-gapped control plane

    Policy, routing, and audit enforced at the gateway—models and telemetry stay on systems you operate, without reliance on external inference services.

  • Sovereign fine-tuning & adapters

    Compliant training and adapter pipelines on GPUs that remain inside your facility—suited to regulated and high-assurance workloads.

Continue to the 3-layer stack

Enterprise applications

Shonix control plane

Privacy gateway
Model router
RBAC & SSO
Audit & logs
On-prem GPUs
Air-gapped inference

Inference and training remain inside your trusted, non-internet-routed boundary.

The 3-Layer Enterprise Private AI Infrastructure Stack

A unified approach to moving from unmanaged risk to architectural control.

1. Governance Layer

Policy enforcement, audit trails, and risk scoring for every prompt and model interaction across your organization.

  • Real-time PII Redaction
  • Bias & Fairness Auditing

2. Private LLM Infrastructure

Air-gapped and on-premises deployments that keep your intellectual property and model weights entirely within your firewall.

  • On-Prem GPU Acceleration
  • Custom Finetuning Pipelines

3. Enterprise AI Platform

The workspace for assistants, autonomous agents, and RAG-powered workflows integrated with corporate data.

  • Multi-Agent Orchestration
  • Departmental Assistants

Assistants

Departmental and role-specific copilots on governed infrastructure—with identity and data boundaries you control.

Agents

Autonomous task execution with approvals, tool allowlists, and full audit trails aligned to your risk posture.

Workflows

RAG-powered pipelines connecting people, systems, and models—without expanding Shadow AI surface area.

Compliance Ready

Designed For The EU AI Act Era

Shonix AI bridges the gap between technical innovation and regulatory rigor. Our platform provides the specific documentation, transparency logs, and risk assessments required by the EU AI Act’s high-risk system classifications.

ISO 42001

Aligned with the international standard for AI Management Systems.

SOC 2 Type II — Audit preparation in progress, targeted Q4 2026

Enterprise-grade security controls for the AI lifecycle.

Data privacy and EU regulatory compliance visualization

Shonix AI Lite

Give teams a safer on-ramp to AI at work: guided experience that reinforces good habits before you roll out full platform capabilities. Product flow and logic are unchanged.

Open Shonix AI Lite
  • Reduce accidental sensitive data in prompts
  • Aligns with broader governance messaging
  • Connects to your enterprise pilot motion

Structured AI Adoption Creates Measurable Productivity Gains

Organizations transitioning from ad-hoc "Shadow AI" to governed corporate AI see an immediate boost in operational throughput.

Efficiency Gain Potential 20%–40%

Observed in departments ranging from legal and finance to customer operations after implementing governed assistants.

Protect Your IP

Shonix AI ensures that proprietary codebases, financial models, and customer strategies never leave your perimeter to train public models—through enterprise AI governance and private LLM infrastructure.

Shadow AI Exposure Calculator

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Move From Shadow AI Risk To Enterprise AI Control

Join enterprises building the future of compliant productivity.

Talk to our team

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The Team

Shubham Saraswat

Founder and CEO

Founded SN Digitech and scaled it into a global enterprise AI delivery company operating across the US, UK, Europe and Canada. Leads product strategy, enterprise sales and execution at Shonix AI.

Soni

COO

Enterprise operations leader with 7+ years managing large-scale AI system deployments, compliance processes and delivery across global enterprise customers.

Bernd Ferber

Strategic Advisor

Global business strategy, geopolitics and enterprise market expansion expertise. Guides positioning, partnerships and long-term growth across regulated and security-sensitive industries.