HiveOS
AI Chief of Staff with sub-1ms PII masking & offline swarms
HiveOS is a dual-mode AI Chief of Staff and Autonomous Agent Operating System built for high-trust executive workflows and air-gapped local intelligence.
HiveOS Enterprise delivers your personal AI Chief of Staff (Bea) with 30-second meeting pre-briefs, sub-1ms local PII masking (Privacy Pills), 3-model Prism consensus across Claude, GPT, and Gemini, and a FinOps Router that cuts LLM spend by up to 78%.
HiveOS Desktop runs a 100% offline local multi-agent swarm directly on your hardware with zero cloud dependency.
Features
• Bea (AI Chief of Staff): Automated 30-second pre-meeting intelligence briefs and post-call action execution across Google Workspace, Slack, and CRM.
• Privacy Pills (Sub-1ms PII Masking): Local entity tokenization replaces names, emails, financials, and keys before any prompt leaves your perimeter.
• 3-Model Prism Consensus: Parallel verification across Claude, GPT, and Gemini to eliminate single-model hallucinations on high-stakes decisions.
• FinOps Router: Dynamic complexity scoring routes routine tasks to lightweight models and cuts LLM token spend by up to 78%.
• HiveOS Desktop (100% Offline Swarm): Air-gapped local multi-agent swarm running entirely on local GPU/NPU hardware.
Use Cases
• Founders & Executives: Walk into every customer, investor, or board call with a 30-second context brief and automated follow-up orchestration.
• Security-Conscious Enterprise Teams: Use frontier cloud LLMs with zero raw PII leakage via deterministic Privacy Pills tokenization.
• Regulated & Air-Gapped Workflows: Run multi-agent document analysis, coding, and research 100% offline with HiveOS Desktop.
Comments
Hey Fazier community! Maker of HiveOS here. We built HiveOS because enterprise teams and founders wanted an autonomous AI Chief of Staff without leaking raw PII to cloud LLMs or suffering single-model hallucinations. HiveOS Enterprise combines Bea (30-second meeting pre-briefs), sub-1ms Privacy Pills tokenization, 3-model Prism consensus (Claude + GPT + Gemini), and a FinOps Router (-78% LLM spend), while HiveOS Desktop runs a 100% offline local multi-agent swarm on your own hardware. Would love your feedback!
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Comments
Hey Fazier community! Maker of HiveOS here. We built HiveOS because enterprise teams and founders wanted an autonomous AI Chief of Staff without leaking raw PII to cloud LLMs or suffering single-model hallucinations. HiveOS Enterprise combines Bea (30-second meeting pre-briefs), sub-1ms Privacy Pills tokenization, 3-model Prism consensus (Claude + GPT + Gemini), and a FinOps Router (-78% LLM spend), while HiveOS Desktop runs a 100% offline local multi-agent swarm on your own hardware. Would love your feedback!
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