SafeLocal AI — 100% On-Premise Secure Enterprise AI

Public cloud AI leaks. DIY AI is unmanaged.

!Sending sensitive CRM, financial, and patient data to ChatGPT or Claude means surrendering control to third-party servers.

!Stitching together raw Ollama or JeffyAI setups leaves you with no governance, no compliance, and no enterprise integration.

Two ways to deploy

Private AI that fits your business

Built for small and mid-size teams — not just enterprises. Pick the setup that matches how your company works. Both run entirely on your own hardware, with nothing leaving your network.

Solution 1 · Per desktop

Private AI on every employee's computer

A self-contained AI assistant installed on each workstation. It's closed and runs 100% locally — works without internet, and no data ever leaves the device.

One private assistant per employee, on their own PC
Runs fully offline — closed and local
Simple one-click Windows install
Nothing ever leaves the machine

Solution 2 · Office appliance

One secure AI appliance for the whole office

A dedicated AI hardware box that runs locally inside your offices and serves everyone through your internal company server — one shared, managed brain for the whole team.

One appliance shared by the whole team
Runs locally on your internal office server
Central management and access control
Nothing leaves your local network

Both solutions include

Runs 100% on your hardware
Everyday automations & chat
Access control & audit logs
Connects to your internal tools
One-click setup & updates
Local data — GDPR-friendly

Killer feature

Secure External Enrichment Workflow

Standard offline chatbots can't touch the outside world. SafeLocal can — safely. Take a real example: automatically preparing a sales rep for a client meeting. SafeLocal gathers public intelligence anonymously, merges it with your most sensitive CRM data locally, and synthesizes the executive brief strictly on-premise. The external world informs your AI without ever seeing your data.

01

Outer Loop · 01

Anonymous Fetch

SafeLocal queries public web sources anonymously for external client data — news, filings, org charts, market signals. Requests carry no internal identity, no prompts, and no CRM data.

Identity-stripped egress

02

Inner Loop · 02

Private Cross-Referencing

Sanitized public data is piped one-way, securely, into your local infrastructure. It is staged behind your firewall where internal automations can reference it — but nothing flows back out.

One-way secure ingestion

03

Local Node · 03

On-Premise Synthesis

A local LLM merges the external data with confidential internal CRM records to produce a secure, deal-ready client brief — entirely on your hardware.

0% of internal data leaves the building

The enterprise comparison

SafeLocal vs. Cloud SaaS AI vs. DIY Open-Source

A factual capability comparison for enterprise security and procurement teams evaluating on-premise AI against public cloud LLMs and unmanaged open-source stacks.

Capability	SafeLocal Enterprise	Cloud SaaS AI (ChatGPT Team / Claude)	DIY Open-Source (JeffyAI / Ollama)
Data Privacy	100% Isolated — never leaves your network	Third-Party Servers — processed by the vendor	Local but Unmanaged — no policy enforcement
Internal System Automation	Native Enterprise APIs — CRM, ERP, data lake	Prohibited / Cloud-Restricted — no access to internal systems	Lacking Management UI — manual scripting only
Deployment	One-Click MSI / Server — corporate-ready installers	Cloud Only — no on-prem option	Manual Terminal Config — CLI assembly required
Secure External Enrichment	Yes — Dual-Loop (public data in, nothing out)	No — your data goes to the vendor	No — not available
Compliance (SOC 2 / GDPR / HIPAA)	Built-in & Auditable — evidence on demand	Shared-Responsibility — vendor-dependent	Your Problem — no built-in controls
Access Control & Audit	Enterprise RBAC + Logs — SSO / SAML / OIDC	Limited Admin — vendor console	None — DIY only
Support & SLA	24/7 Enterprise SLA — dedicated engineering	Tiered Support — plan-dependent	Community Forums — best-effort

SafeLocal vs ChatGPT → SafeLocal vs JeffyAI →

Comparison reflects typical enterprise configurations. ChatGPT, Claude, JeffyAI, and Ollama are trademarks of their respective owners and are referenced for comparison only.

Pricing

Simple licensing, sized to your team

Pick by how you deploy — per desktop, one office appliance, or a full multi-site rollout. No per-token surprises. Everything runs on your own hardware.

Desktop

Custom / per seat · annual

Private AI on each employee's own computer. Great for small teams getting started.

Per-seat annual license
Local standalone install (Windows)
Fully offline — zero data leaves the device
Email & business-hours support

Get a quote

Office Appliance

Custom / per appliance · annual

One secure AI box for the whole office, shared over your internal server.

One on-prem appliance for the team
Shared via your internal company server
Central management + access control
Onboarding & priority support

Request a quote

Enterprise

Custom / organization

Multi-site rollouts with advanced governance and compliance.

Everything in Office Appliance
Multi-node & air-gapped options
SSO, audit & exportable compliance evidence
Dedicated engineer + 24/7 SLA

Talk to sales

Security posture

Built for security teams that assume breach

SafeLocal inverts the cloud AI model: instead of sending your data to the model, we bring the model to your data. Every layer is designed around a default-deny posture, least privilege, and complete auditability.

Zero egress by defaultNo data leaves your perimeter unless an explicit, audited policy allows it.

AES-256 & TLS 1.3Encryption at rest and in transit across every node and connector.

Immutable audit trailEvery prompt, action, and data access is logged and exportable.

Air-gap readySigned, verifiable installation bundles for fully isolated networks.

Request a demo

Bring enterprise AI inside your perimeter

See SafeLocal deployed against your own architecture. No data leaves your network during evaluation — on-prem, in your VPC, or fully air-gapped.

Request a Demo

Technical FAQ

Answers for security & procurement

SafeLocal uses a dual-loop architecture. The Outer Loop performs anonymized public web retrieval through an isolated egress proxy that carries no internal identifiers, prompts, or CRM data — only generic public lookups ever leave your perimeter. Retrieved public data is sanitized and piped one-way into the Inner Loop, where a local LLM running entirely on your hardware merges it with confidential internal data. No internal data, embeddings, or prompts are ever transmitted externally, and all outbound traffic is governed by default-deny egress policies with full audit logging.

SafeLocal scales from a single workstation to multi-node GPU clusters. A typical departmental deployment runs on one server with an NVIDIA A100/H100 (or 2× RTX 6000 Ada), 128 GB RAM, and 2 TB NVMe storage. For organization-wide rollouts we provide a reference architecture for Kubernetes-based GPU clusters. CPU-only inference is supported for smaller models in edge or constrained air-gapped scenarios.

Yes. SafeLocal is designed for fully air-gapped operation. Models, dependencies, and updates are delivered through signed, offline installation bundles. In air-gapped mode the Outer Loop enrichment is disabled, and all inference, automation, and internal integration run entirely within your isolated network with no outbound connectivity required.

SafeLocal is engineered to be SOC 2 ready, GDPR compliant, and HIPAA aligned. Because all processing occurs on infrastructure you control, data residency, retention, and access are fully governed by your own policies. SafeLocal ships with RBAC, immutable audit logs, encryption at rest and in transit, and exportable compliance evidence to accelerate your audits.

DIY open-source stacks such as raw Ollama or JeffyAI give you a model runtime but no enterprise layer. SafeLocal adds managed deployment (one-click corporate MSI/server installers), enterprise RBAC and SSO, native automation APIs to your internal systems, the Secure External Enrichment pipeline, centralized audit and governance, and a 24/7 enterprise SLA — turning an unmanaged experiment into a compliant production platform.

Your AI. Your Hardware. Completely Safe & Local.