Privacy Pal
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.
- Company typePrivate
- Founded-
- HeadquartersSpokane, United States
- Headcount11–50
- GTM typeB2B and B2C
- OfferingSoftware
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.
Privacy Pal firmographics
Firmographics- 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
Privacy Pal industry classification
Industry- 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
Where Privacy Pal is headquartered
LocationHeadquarters
- HQ city
- Spokane
- HQ country
- United States
- HQ region
- North America
Markets served
Privacy Pal business model
Business model- GTM type
- B2B and B2C
- Offering type
- Software
- Cost components
- Technology or R&D, Personnel, Marketing or Sales, Infrastructure, Operations
Revenue model
- 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.
- 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.
- 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
| Model | Billing | Price |
|---|---|---|
| Subscription | Monthly | Individual/family plan covering up to 5 devices — one-click install, works with every major AI app |
| Per seat | Annual | SME team plan — on-device interception, CRM/Slack/Notion/SQL connectors, team policies, audit log, SSO, SCIM |
| Per seat | Annual | Enterprise plan — all Pro features plus on-device DSPM, agent governance (Claude Code, Copilot, MCP), Privacy Agents, org-wide AI controls |
| Subscription | Annual | Sovereign self-hosted deployment with network DSPM — air-gap option, self-host on AWS/Azure/GCP/bare metal, OpenAI/Anthropic/Google compatible |
Go-to-market motion3 records
Distribution channels4 records
Marketing channels5 records
Privacy Pal product offering
Product offeringCore 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
Companies that use Privacy Pal
Customer profileNamed customers6 records
Segments6 records
Ideal customer profiles7 records
Privacy Pal technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration14 records
AI capability9 records
Feature8 records
Privacy Pal partnerships and signals
Strategic signalPartnerships
One partnership is on record.
- NVIDIA Inception ProgramcorePrivacyPal 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
Privacy Pal competitors and assessment
Company assessmentDirect 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
Privacy Pal social profiles
Digital presencePrivacy Pal compliance and trust
Trust signalCompliance5 records
Privacy Pal financial estimates
Financial estimateRevenue estimate
Valuation estimate
Privacy Pal leadership team
Management profileNumber of profiles
Profiles2 records
Privacy Pal funding detail
Funding detailFunding overview
Funding rounds
Investors
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Privacy Pal M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Privacy Pal
What does Privacy Pal do?
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.
Is Privacy Pal a public or private company?
Privacy Pal is a private company. It is classified as founder individual operated bootstrapped and is currently operating.
When was Privacy Pal founded?
Privacy Pal was founded in -1. It employs 11 to 50 people.
Where is Privacy Pal based?
Privacy Pal is headquartered in Spokane, United States, in the North America region.
How does Privacy Pal make money?
Three revenue lines are on record. SaaS Subscription (Per-Seat) is the primary driver. The others are consumer Subscription (Per-Device) and enterprise Cloud (Custom / Annual).
Who are Privacy Pal's main competitors?
Direct peers on record are BigID, Concentric AI, Cyera, Nightfall AI, Securiti, Strac, Skyflow, Harmonic Security and LayerX Security. Protect AI is listed as an emerging player.
Does Privacy Pal have an API?
Yes. PrivacyPal offers a REST API with an OpenAI-compatible endpoint that enables encode/decode functionality for protecting sensitive data before it reaches AI models. Available for Node.js and Python with identical API surface. Supports encode, decode, encodeBatch, encodeFile, and chatWithAI operations. The Cloud tier provides a self-hosted gateway that is API-compatible with OpenAI, Anthropic, and Google, allowing routing to GPT, Claude, Gemini, Mistral, Llama, or custom fine-tuned models. Developer documentation is at privacypal.ai/documentation/sdk.
What industry is Privacy Pal in?
Privacy Pal's product category is AI Data Governance & Privacy Software. Its primary akta.pro industry code is HDAAAKAB, AI Privacy Engineering & Data Governance (PII, consent, retention), with a secondary code of HDAAALAG, Privacy-Preserving Data (De-identification, Anonymization, PII Redaction). Its NAICS code is 5132 and its SIC code is 7370.