A local trust layerbetween your data and AI

RangerIO runs detection and extraction models locally on your device, then organizes verified facts and relationships in an intelligence dossier that helps validate responses and reduce hallucinations. This provider-independent architecture works across AI models without sacrificing control or safety.

Detect sensitive context

Identify personal, confidential and regulated information before it enters a prompt.

UNDER THE HOOD: Local inference combines context-aware entity recognition with deterministic pattern matching and validation.

Control what can leave

Every outbound request is inspected, and sensitive values are replaced before approved context is sent.

UNDER THE HOOD: Fail-closed protection, reversible tokenization and local restoration.

Build reusable intelligence

Extract facts, rankings and relationships that can be reused across workflows and AI providers.

UNDER THE HOOD: Intelligence is cached at ingestion — rankings, patterns, relationships — cutting repeated processing and keeping answers consistent.

Preserve an audit trail

Record what was inspected, transformed, shared and restored throughout the workflow.

UNDER THE HOOD: Timestamped, tamper-evident events provide traceability across the complete data-to-AI lifecycle.

Technical architecture

Designed to simplify AI security

Edge-AI architecture lets you deploy quickly and scale with ease.

Foundational capabilities

Local Privacy Engine

Local models detect and classify sensitive data on-device.

The heavy privacy work happens locally.

Intelligence cache

Maintain a private ledger to optimize queries and costs across AI providers.

Reduce AI costs. Avoid data lock-in.

Trust Gate

Nothing leaves until it is scanned, approved, and grounded in trusted source material.

Fewer hallucinations. A complete audit trail.

Connect to Any AI

Use enterprise LLMs, frontier models, or open-source providers — and switch whenever you need.

Select best of breed models and providers.