Seed Round — Now Open

The privacy infrastructure for the world's next data layer

The shift from public to private data demands a new system of record. Pryvx enables data collaboration between telecoms, banks, and enterprises — without moving or exposing raw data. Deployed across 760M+ consumers.

Schedule a Call → Investment Thesis
Active Round · Equity
Target Raise $2.4M
Instrument Priced Equity
Remaining Allocation $1.9M
Pre-Seed Raised $415K
Collected Revenue Q1 2026 $14k
Use of Proceeds Market Expansion
& Product Dev
Timeline Apr 7 – Jun 5, 2025
Current Backers
Norrsken Antler Amigos VC Sting
760M+
Consumers Reached
2,000+
Data Attributes
100TB
Processed Daily
$6B
TAM in 2025
The era of training AI on public data is ending. The next frontier is private data — locked inside telecoms, banks, and enterprises. Whoever builds the trusted infrastructure to unlock it creates the new system of record.
The Problem

80% of high-value data is locked in silos

AI models are starving. The data they need exists — but compliance, trust, and economics prevent it from ever leaving its silo.

⚖️

Privacy & Compliance

GDPR, PDP Act, and CCPA make raw data sharing illegal across organizational boundaries. Penalties create existential enterprise risk.

💰

Economic Friction

Sending, storing, and securing third-party data costs more than the value it returns. The economics of centralized data sharing are fundamentally broken.

🔒

Trust & Data Silos

Competitors won't share even when both parties win and regulations allow it. Data sovereignty concerns prevent cross-border collaboration.

Telecoms hold $212B in untapped data value — mobility patterns, network usage, device signals, verified identities — but can't monetize any of it.

The Solution

Privacy-enhanced data collaboration

Pryvx sends computation to data — not data to computation. Zero data movement. Absolute sovereignty. Real-time insights.

📡
Data Providers
Telecoms & Banks

Pryvx Platform

Privacy Enhanced & Decentralised Data Collaboration

Credit Scoring Fraud Prevention Identity Verification Retail Media Ad Targeting
🏢
Data Consumers
FinServ, Retail, AdTech
Commercial Use Cases

Live in production today

🏦

Credit Scoring

Enrich lending models with telecom behavioral signals — payment patterns, mobility, network usage — without exposing raw data.

🛡️

Fraud Prevention

Real-time SIM-swap detection, KYC verification, and cross-institutional fraud signal sharing via encrypted computation.

🆔

Identity Verification

Phone-number based identity graphs with carrier-verified signals for onboarding and authentication flows.

📊

Retail Media & Ads

Privacy-safe audience building using first-party telecom data as the post-cookie targeting alternative.

Market Opportunity

$6B TAM growing to $17.4B by 2030

The combined Privacy-Enhancing Technology and Data Clean Room market is at an inflection point, driven by regulation and signal loss.

TAM $17.4B
SAM $6.5B
SOM $22–55M
2025 TAM
$6.0B
↑ 23.8% CAGR
2030 TAM
$17.4B

📋 Regulatory Compliance

GDPR, CCPA, and strict APAC data localisation laws are forcing enterprises to adopt privacy-preserving computation. Financial penalties create existential risk.

🍪 Signal Loss in Advertising

Third-party cookie deprecation forces advertisers toward privacy-preserving alternatives using first-party telecom data. DCR adoption growing at 38.5% CAGR.

🔐 Rising Cyber Threats

SIM swapping, account takeover, and payment fraud require real-time cross-institutional collaboration without exposing PII.

🤖 AI/ML Adoption

Organizations need privacy-preserving methods like Federated Learning to train models on sensitive, distributed datasets across borders.

Traction

Deployed with tier-1 operators, adopted by leading enterprises

Supply-side deployments give Pryvx access to 760M+ consumers across APAC. Demand-side adoption validates commercial use cases.

Supply Side Data Providers

Telkomsel (Indonesia)
CDR & CRM monetization for FinServ, FinTech, Retail
160M users
Reliance Jio (India)
Market intelligence, KYC, SIM-Swap via APIs
600M users
XLSmart & Indosat
NDA & LOI signed — pipeline
LOI

Demand Side Data Consumers

Boost Bank (Malaysia)
Commercial negotiation — credit scoring
14M users
Amartha
Commercial pilot — microfinance lending
4M users
Sahamati / RBI Ecosystem
India's Account Aggregator framework
1000+ banks
WPP & Indian Ad Agencies
Evaluation agreement — audience targeting
Eval
Perfios, Finvu, BajajFinServ
Financial services infrastructure partners
200M tx/yr
Technical Moat

Compute-to-Data: the paradigm shift

While incumbents require data to move to their cloud, Pryvx sends algorithms to where data lives. Zero data movement. Absolute sovereignty.

Incumbents · AWS, GCP, Snowflake

Centralized DCR

✕
Data movement — requires copying to central cloud
✕
Sovereignty violation — breaks data localisation mandates
✕
High cost — egress fees & storage duplication
✕
Single-party trust — centralized control model
✕
Batch latency — not suited for real-time use cases
Pryvx · Distributed Architecture

Decentralised DCR

✓
Data stays at source — computation moves to data
✓
Native compliance — automatic regional alignment
✓
Lower costs — zero duplication, zero egress
✓
Distributed trust — multi-party participant control
✓
Edge-enabled — real-time processing at source
5-Year Projection

Capital-efficient path to scale

Based on signed Telkomsel deployment, LOIs with major APAC telecoms, and active commercial pilots on the demand side.

$32M
Total 5Y Revenue
$14M
Total 5Y Costs
58%
Terminal Margin
$14K
Collected Revenue Q1 2026
Projected Revenue Growth (USD)
$56K
2026
$1.1M
2027
$2.9M
2028
$7.8M
2029
$20.7M
2030
Founding Team

Built at the intersection of telecom, AI, and cybersecurity

Gaspar Wosa
Gaspar Wosa
Co-Founder & CEO
Telecom

Deep telecom industry expertise with operator-level relationships across APAC.

Ericsson HPE Egon Zehnder
Jayesh Kenaudekar
Jayesh Kenaudekar
Co-Founder & CTO
AI / Machine Learning

ML engineering background with focus on federated learning and distributed computation.

Linköping Univ. Mycronic
Margit Arctaedius
Margit Arctaedius
Co-Founder & CPO/CFO
Cybersecurity

Cybersecurity product leadership with enterprise go-to-market experience.

Darktrace Minut Lund Univ.
Go-To-Market

Three expansion scenarios with compounding network effects

Scenario A · 3–5 Years

Asia-First Expansion

Deepen APAC traction. Win SEA + India before attacking global markets. Lowest risk with strong regulatory tailwind and proven beachhead.

Timeline: 3–5 years
$35–50M ARR
Scenario B · 4–6 Years

Telco Vertical Conquest

Use Telkomsel + Jio as lighthouse clients to win all global Tier-1 telcos. Highest LTV with $1–5M ACV deals in a defensible niche.

Timeline: 4–6 years
$60–100M ARR
Scenario C · 5–7 Years

Privacy Data Marketplace

Monetize the 760M+ user base as a privacy-safe data exchange platform. Highest upside with platform network effects.

Timeline: 5–7 years
$150M+ ARR
Invest

$1.9M remaining for 1–2 strategic investors

Pryvx is building the privacy infrastructure layer for the next decade of data collaboration. Join Norrsken, Antler, and Amigos VC.

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hello@pryvx.com · Founded 2024 · Stockholm, Sweden