Privacy Pal

What Privacy Pal does

PrivacyPal develops an on-device AI data protection platform that intercepts sensitive information — PII, PHI, PCI, and IP — at the point of typing across Mac, PC, iOS, Android, and browser, and substitutes it with statistically accurate, context-preserving synthetic data ("Privacy Twins") before any prompt reaches an external LLM such as ChatGPT, Claude, Gemini, or Microsoft Copilot. The platform combines a real-time interception engine (340ms average latency), on-device Data Security Posture Management (DSPM) that classifies sensitive data at every endpoint, and an agent governance layer covering Claude Code, Copilot, and the Model Context Protocol. Network-grade DSPM, an SDK for Node.js and Python, and an OpenAI-compatible sovereign gateway extend coverage to B2B SaaS sidecar deployments and self-hosted enterprise environments.

The product portfolio is tiered: PrivacyPal Home at $9/device/month for consumers, Pro at $15/seat/month for SMEs with CRM/Slack/Notion connectors and SSO, Max at $50/seat/month for enterprises adding on-device DSPM and Privacy Agents, and Cloud with custom annual pricing for sovereign self-hosted deployments. Distribution combines a product-led growth motion (free trials, direct download), enterprise field sales into regulated verticals (healthcare, banking, legal, telecommunications), and developer/SDK distribution via npm and PyPI. The company is headquartered in Boca Raton, Florida, has 11-50 employees, and is the subject of a January 2026 commitment letter under which Vocodia Holdings Corp (OTC: VHAI) will acquire a 51% controlling stake, with Jason Melo (Paxos co-founder, 8x patent holder) slated to become CEO upon closing.

Name

Privacy Pal

Legal name

Privacy Pal LLC

Website

https://privacypal.ai

Company type

Private

Operating status

Operating

Headcount range

11–50 employees

Short description

PrivacyPal is an on-device AI data protection platform that substitutes sensitive PII, PHI, PCI, and IP with synthetic Privacy Twins before prompts reach any LLM, serving consumers, SMEs, and regulated enterprises across healthcare, banking, legal, and telecommunications via tiered subscriptions, SDK distribution, and sovereign cloud deployment.

Ownership category

akta.pro rank

Product category

AI Data Governance & Privacy Software

NAICS

Software Publishers (5132)

SIC

Services-Computer Programming, Data Processing, Etc. (7370)

akta.pro primary industry

AI Privacy Engineering & Data Governance (PII, consent, retention) (HDAAAKAB)

akta.pro secondary industries

Privacy-Preserving Data (De-identification, Anonymization, PII Redaction) (HDAAALAG), Privacy-Preserving On-Device ML (secure enclaves, TEEs, differential privacy) (HDAAAJAH), Data Loss Prevention (DLP) & Sensitive Data Discovery (PHI/PII) (HLACAJAC), Privacy-Preserving ML & Data Protection (e.g., federated learning, differential privacy) (HDAAAMAD)

Keywords

• AI data privacy
• LLM governance software
• Data security posture management
• On-device AI protection
• PII redaction platform

Headquarters

HQ city

Spokane

HQ country

United States

HQ region

North America

Markets served

GTM type

B2B and B2C

Offering type

Software

Cost components

Technology or R&D, Personnel, Marketing or Sales, Infrastructure, Operations

Revenue model

1. SaaS Subscription (Per-Seat): Tiered per-seat monthly or annual subscription for PrivacyPal Pro and Max. Pro at $15/seat/month ($180/yr), Max at $50/seat/month ($600/yr). Primary revenue stream targeting teams and enterprises.
2. Consumer Subscription (Per-Device): PrivacyPal Home at $9/device/month for individuals and families — up to 5 devices on one family plan. Targets non-enterprise consumers wanting AI privacy at home.
3. Enterprise Cloud (Custom / Annual): PrivacyPal Cloud sold as sovereign self-hosted deployment with custom annual pricing — sold via direct enterprise sales to regulated industries (healthcare, FSI, defense, telco) requiring full data sovereignty.

Pricing tiers

Go-to-market motion3 records

Distribution channels4 records

Marketing channels5 records

Core offering

PrivacyPal develops on-device AI data protection software that intercepts sensitive information (PII, PHI, PCI, IP) at the moment it is typed and substitutes it with statistically accurate, context-preserving synthetic data called Privacy Twins before any prompt reaches an LLM. The platform is delivered across four tiers (Home, Pro, Max, Cloud) plus an SDK for embedding the encode/decode engine into B2B SaaS products.

Product overview

PrivacyPal is a multi-tier AI governance platform built around the Privacy Twin engine — a language-based privacy technology that substitutes sensitive data with statistically accurate, context-preserving synthetic data before it reaches any LLM. The platform consists of four consumer-facing products: PrivacyPal Home ($9/device/month) for individual and family use; PrivacyPal Pro ($15/seat/month) for small-to-midsize teams requiring CRM, Slack, and Notion connectors with SSO and audit logging; PrivacyPal Max ($50/seat/month) for AI-native enterprises adding on-device DSPM, Claude Code and Copilot governance, Privacy Agents, Private MCP, and org-wide controls; and PrivacyPal Cloud (custom annual pricing) for regulated enterprises requiring self-hosted sovereign deployment with network DSPM across databases, lakes, and vector stores. A PrivacyPal SDK is available as an add-on for Node.js and Python developers to integrate Privacy Twin encoding directly into applications.

Differentiator

Problem solved

Functional benefit

Brands

• PrivacyPal Pro: SME governance - install once, secure every AI. On-ramp for individuals, firms and growing teams with desktop and browser agents intercepting sensitive data across ChatGPT, Claude, Gemini, Copilot.
• PrivacyPal Max
• PrivacyPal Home
• PrivacyPal Cloud

Products and services

• PrivacyPal Home Consumer AI privacy layer for families, freelancers and individuals. One-click install covering ChatGPT, Claude, Gemini, Copilot and Perplexity across web, desktop and mobile with no configuration required and nothing uploaded to PrivacyPal servers. Priced at $9/device/month with a family plan up to 5 devices and a 5-day free trial.
• PrivacyPal Pro SME AI governance platform for individuals, firms and growing teams (1 to ~100 seats). Desktop and browser agents intercept sensitive data across ChatGPT, Claude, Gemini and Copilot, with CRM/Slack/Notion/SQL connectors, team policies, role-based rules, audit log, SSO and SCIM. Priced at $15/seat/month billed annually at $180/seat/year with a 5-day free trial.
• PrivacyPal Max Enterprise AI governance platform for AI-native enterprises and agentic workflows. Includes everything in Pro plus the first on-device DSPM across every endpoint, Privacy Agents (Detection & Authorization, Adversarial Defense, Legal and Financial), governance for Claude Code, Microsoft Copilot and the MCP layer, Private MCP gateway, org-wide AI controls and agent marketplace access. Priced at $50/seat/month billed annually at $600/seat/year.
• PrivacyPal Cloud Sovereign deployment tier for organizations demanding full data sovereignty. Combines a self-hosted AI governance gateway with network-grade DSPM across databases, data lakes, RAG pipelines, vector stores and agent memory. Deployable on AWS, Azure, GCP, bare metal or air-gapped; OpenAI-compatible API with zero-knowledge architecture. Custom annual pricing with 24/7 SLA and dedicated solution engineer.
• PrivacyPal SDK Software development kit that lets developers integrate Privacy Twin encode/decode functionality directly into their applications. Available for Node.js 18+ (with TypeScript) and Python 3.10+, plus a REST API. Exposes encode, decode, encodeBatch, encodeFile and chatWithAI operations with streaming SSE support and an OpenAI-compatible endpoint.

Quantifiable outcome

• 10M+ sensitive elements governed in real time across customer endpoints
• +8 more outcomes

Named customers6 records

Segments6 records

Ideal customer profiles7 records

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

Integration14 records

AI capability9 records

Feature8 records

Partnerships

One partnership is on record.

• NVIDIA Inception ProgramcoreStrategic or Co-development PartnerPrivacyPal is a proud member of NVIDIA Inception — a program for AI startups. The partnership focuses on optimizing on-device AI protection for next-generation edge AI hardware and on-device language models. PrivacyPal co-markets this as a credibility signal for AI-native enterprise buyers.

Scale indicators7 records

Recent moves6 records

Expansion highlights6 records

Direct peers

• BigID: Data discovery, classification, and privacy management for enterprise data—now extending into AI governance. Comparable to PrivacyPal's on-device DSPM and regulated-industry compliance angle.
• Concentric AI: AI-driven data security posture management that discovers, classifies, and remediates sensitive data across cloud and SaaS. Directly comparable to PrivacyPal Cloud's network-DSPM capabilities.
• Cyera: Cloud-native data security platform providing DSPM, data classification, and AI-era sensitive data governance. Closest DSPM-only competitor to PrivacyPal's on-device and network posture management.
• Nightfall AI: AI-native data loss prevention platform that detects and protects sensitive data (PII, PHI, credentials) across SaaS, email, and generative AI tools. Closest functional analogue to PrivacyPal's PII/PHI detection and redaction layer for AI applications.
• Securiti: Unified data privacy, governance, and security posture management platform with AI/SaaS coverage. Comparable to PrivacyPal's combination of DSPM, AI governance, and multi-regulation compliance posture.
• Strac: AI-aware DLP and data classification that redacts sensitive content across SaaS apps, browsers, and AI tools. Competes head-to-head with PrivacyPal on browser/endpoint-level protection of sensitive data going to AI.
• Skyflow: Data privacy vault and APIs that isolate, tokenize, and govern sensitive PII/PHI for AI and SaaS applications. Overlaps with PrivacyPal's tokenization/twin approach for keeping sensitive data out of LLM prompts.
• Harmonic Security: Data protection purpose-built for generative AI and LLM usage, applying content inspection and redaction to enterprise AI workflows. Directly comparable to PrivacyPal's interception of sensitive prompts before they reach external LLMs.
• LayerX Security: Browser-level security and DLP extension that governs data movement into SaaS, GenAI and shadow-IT tools. Direct peer on the endpoint/browser-based AI interception approach that PrivacyPal's Pro/Max relies on.

Emerging players

• Protect AI: Security platform focused on AI/ML systems and model supply-chain protection. Adjacent to PrivacyPal's AI-governance thesis with overlap on prompt-injection defense and secure AI deployment.

Market position

Strengths4 records

Weaknesses5 records

Competitive moat6 records

Key risks5 records

Key highlights7 records

Customer concentration

• GitHubgithub.com/PrivacyPal
• Xx.com/benandjerrys

Compliance5 records

Revenue estimate

Valuation estimate

Number of profiles

Profiles2 records

Funding overview

Funding rounds

Investors

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Privacy Pal