Private AI vaults
Create separate vaults for SOPs, financials, customer data, products, HR, legal, and support knowledge so answers stay grounded in the right source set.
Private AI features
Private AI features for local LLMs, Mac Studio, and no cost tokens.
Private Vault Pro is tuned for private AI on a local LLM. Launch the app, drag in your content, and start asking questions against private vaults on your Mac or Mac Studio with no cost tokens in local mode.
Confidential company information should stay under your control. Private Vault Pro keeps your AI answers local and private instead of sending sensitive content to the cloud.
Three steps
- Launch the app.Private Vault Pro checks the local model setup automatically at startup.
- Drag your content over.Drop PDFs, Word docs, Google Docs, URLs, notes, spreadsheets, and support docs into the right vault. For Google Docs and URLs, choose daily, weekly, or monthly updates.
- Ask your vault.Use a local internal assistant or publish a local customer chat agent with no token meter in local mode.
Feature overview
Everything needed to turn company content into private AI answers.
Private Vault Pro is built for teams that want a local LLM to answer questions from approved business content without sending private documents to cloud AI systems. It starts simple: open the app, drag in PDFs, Word docs, Google Docs, URLs, SOPs, customer data, product notes, financials, or policy documents, then ask your vault.
When the source is a Google Doc or URL, choose a daily, weekly, or monthly refresh schedule so the vault keeps the most up-to-date approved information.
For confidential company info, keeping AI local is the point: your files, retrieval index, and answers can remain private on hardware you control.
Local LLM answers
Use Ollama and Mac-hosted models for private answers that run locally, with citations and evidence from your own files.
No cost tokens locally
Local mode avoids token-based API billing. Cloud providers remain available when you want paid comparisons or hosted model testing.
Mac Studio performance
Estimate answer speed and concurrency on Mac Studio hardware before upgrading or moving a customer-facing agent to dedicated Mac capacity.
Local first
Built around no-token local answers.
No Token LLM mode
Run answers through local Ollama models so private source text stays on the Mac and local answers have no cost tokens.
Token-based models when you want them
Optional cloud providers are available when you want to pay for tokens, compare quality, or benchmark local results against hosted models with estimated cloud costs based on the model used.
Fine tuned for local LLM
Retrieval, citations, local-only controls, model warming, and response cost views are designed around practical Mac-hosted private AI.
Model lab
Test different models against each other.
Compare local models, compare local against cloud, or run two selected models together. Private Vault Pro keeps answers grounded in the same vault evidence and can include cloud token costs based on the selected provider and model.
Ollama
OpenRouter.ai
Anthropic
OpenAI
Google Gemini
Custom Endpoint
ModelModeCostAnswer
Llama 3.2Local$0Fast
Qwen 3 8BLocal$0Balanced
ClaudeCloudModel costCompare
GPTCloudModel costCompare
Searchable feature details
Feature pages search engines can understand, written for buyers who compare options.
Teams evaluating private AI usually want clear answers about local LLM setup, token costs, cloud provider support, model testing, and Mac Studio hosting. Private Vault Pro puts those decisions in the product, including cloud cost estimates based on the model used, instead of forcing a separate installation or benchmarking project.
Model comparison
Compare local LLM answers against OpenAI, Anthropic, Google Gemini, OpenRouter.ai, or a custom endpoint using the same vault evidence, with cloud cost estimates tied to the model selected.
Stress Test
Measure answer latency, throughput, failures, and consistency under load before trusting a vault with employee or customer support.
Concurrent Test
Simulate multiple employees or customers asking at once to see how your local LLM and Mac hardware respond.
External static IP
Use your own network, or pair with MacStudioHosting.com when a private AI chat agent needs easier external availability.
Performance
Know what your Mac Studio can handle.
Stress Test
Run a finite benchmark against a selected vault and model to measure latency, throughput, failures, and answer consistency under load.
Concurrent Test
Simulate multiple users asking at once so you can see how a local model behaves before publishing an internal or customer-facing agent.
Hardware time estimates
See estimated answer time on another Mac or Mac Studio, including higher-memory and higher-GPU configurations, before spending money on hardware.
Current Mac3.8sQwen 3 8B answer
Mac Studio1.4sEstimated upgrade time
Concurrent users25Load-test target
API cost$0Local LLM mode
Vault creation
Drag content in and you are done.
Vaults can be organized by department, customer data, SOPs, financials, products, HR, legal, or any other private category. Google Docs and URLs can refresh daily, weekly, or monthly so answers stay current as source material changes.
PDFPolicies, manuals, reports
WordSOPs, contracts, internal docs
Google DocsDaily, weekly, or monthly refresh options
URLsScheduled updates keep vault answers current
External access
Use your own Mac, or connect it to hosted Mac Studio capacity.
Private Vault Pro can run on your own hardware. For teams that want a local LLM agent available outside the office with an external static IP, the Mac Studio hosting option gives the private AI story a straightforward path.
Self-host locally
Keep vaults and answers on a Mac you control.
Host on Mac Studio
Use dedicated Mac hardware when you do not want to manage your own machine.
Reach customers externally
Pair your local LLM agent with a static IP for customer support and partner access.