Assistants
Departmental and role-specific copilots on governed infrastructure—with identity and data boundaries you control.
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.
Average cost of a single AI-related breach incident for major enterprises.
Increase in breach cost directly attributed to Shadow AI implementations.
Potential EU AI Act penalties reaching 7% of global annual revenue.
Cumulative annual Shadow AI exposure for standard large 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.
See the Private AI architecture for how governance, private LLM capacity, and the enterprise platform fit together.
Platform UI: governed workspaces—not shared public inference endpoints.
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.
High-throughput, low-latency inference on your hardware, with zero raw data leaving your environment.
Policy, routing, and audit enforced at the gateway—models and telemetry stay on systems you operate, without reliance on external inference services.
Compliant training and adapter pipelines on GPUs that remain inside your facility—suited to regulated and high-assurance workloads.
Shonix control plane
Inference and training remain inside your trusted, non-internet-routed boundary.
A unified approach to moving from unmanaged risk to architectural control.
Policy enforcement, audit trails, and risk scoring for every prompt and model interaction across your organization.
Air-gapped and on-premises deployments that keep your intellectual property and model weights entirely within your firewall.
The workspace for assistants, autonomous agents, and RAG-powered workflows integrated with corporate data.
Departmental and role-specific copilots on governed infrastructure—with identity and data boundaries you control.
Autonomous task execution with approvals, tool allowlists, and full audit trails aligned to your risk posture.
RAG-powered pipelines connecting people, systems, and models—without expanding Shadow AI surface area.
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.
Aligned with the international standard for AI Management Systems.
Enterprise-grade security controls for the AI lifecycle.
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 LiteOrganizations transitioning from ad-hoc "Shadow AI" to governed corporate AI see an immediate boost in operational throughput.
Observed in departments ranging from legal and finance to customer operations after implementing governed assistants.
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.
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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.
COO
Enterprise operations leader with 7+ years managing large-scale AI system deployments, compliance processes and delivery across global enterprise customers.
Strategic Advisor
Global business strategy, geopolitics and enterprise market expansion expertise. Guides positioning, partnerships and long-term growth across regulated and security-sensitive industries.