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.
On-Premise Enterprise AI
Deploy secure, on-premise AI automations that execute inside your local network. Zero data leakage. Total compliance. The ultimate enterprise alternative to public cloud LLMs.
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We'll respond within one business day. No data leaves your network during evaluation.
Solutions
A secure chat and reasoning workspace for every employee, served by open and commercial models running entirely on your hardware.
Build and orchestrate multi-step AI workflows that act on internal systems — with human-in-the-loop approvals and full traceability.
First-class APIs and adapters for your CRM, ERP, data lake, ticketing, and identity systems — no data ever transits a third party.
Immutable, exportable audit logs of every prompt, action, and data access — the evidence your auditors and regulators expect.
Granular role-based access control with SAML/OIDC single sign-on, integrating cleanly with your existing identity provider.
Version, deploy, and retire models across nodes from one console — with signed artifacts and reproducible rollouts.
Killer feature
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.
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.
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.
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
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 |
Comparison reflects typical enterprise configurations. ChatGPT, Claude, JeffyAI, and Ollama are trademarks of their respective owners and are referenced for comparison only.
Pricing
Transparent, capacity-based licensing with no per-token surprises. Every tier runs entirely on your infrastructure.
Custom/ annual
Single-node deployment for one team or business unit.
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We'll respond within one business day. No data leaves your network during evaluation.
Custom/ annual
Multi-node deployment with full automation and governance.
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We'll respond within one business day. No data leaves your network during evaluation.
Custom/ annual
Fully isolated deployment for regulated and critical sectors.
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We'll respond within one business day. No data leaves your network during evaluation.
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 data egress by default, AES-256 at rest and TLS 1.3 in transit, an immutable audit trail of every prompt and action, and air-gap-ready operation with signed, verifiable installation bundles.
See SafeLocal deployed against your own architecture. No data leaves your network during evaluation — on-prem, in your VPC, or fully air-gapped.
Tell us where to reach your security team
We'll respond within one business day. No data leaves your network during evaluation.
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.