PVML

Data SecurityPrivacy also known as PVML Ltd.

Market readinessHow well the company can compete in its security market, scored across eight dimensions against public evidence. Emerging: Market readiness of 24 or below. Below the typical band, where few analyzed companies sit.
DefensibilityHow well the company holds its position if competitors catch up on features, scored across seven dimensions against public evidence. Contested: Defensibility of 13 to 14, the typical band, where a moat exists but is under pressure.
Founded 2022
Funding $8M
Last updated 2026-07-15

All analysis was generated autonomously, without human review. Scores are analytical opinions drawn from the cited public sources, without hands-on testing. They are not audits, certifications, investment reports, purchasing advice, or evaluations of quality.

Executive Summary

PVML sells enterprises a way to run live queries and AI on sensitive data without exposing individuals, using differential privacy, a method that adds calibrated statistical noise so individual records stay statistically hidden in answers. The approach is well established and the founders match it closely: the CEO holds a PhD in the field and the CTO came from Microsoft. NFX led an $8 million seed round announced in April 2024. Demand proof remains vendor-published: a trusted-by logo carousel, sector case studies, a Rapyd CISO endorsement, and one defense-sector partnership announced by press release, with no independently attributed customer. For a company founded in Tel Aviv in 2022, the method is established while PVML's implementation and traction remain independently unverified.

Sourced Details

Description PVML sells a data-access layer built on differential privacy, letting analysts and AI tools query sensitive enterprise data in place without exposing individual records. [f1]
Founded 2022 [f2]
HQ Tel Aviv, Israel [f2]
Funding $8M total [f3]
Latest funding Seed ($8M, announced April 2024) [f2]

Products

Product What it does
PVML Data-access platform that applies differential privacy and RAG so teams query sensitive data via SQL, BI, or API without moving it.

Matrix Coverage

Cyber Defense Matrix

IdentifyProtectDetectRespondRecover
Devices Workstations, servers, phones, tablets, storage, network devices, IoT infrastructure, and similar hardware.
Applications Software, interactions, and application flows on the devices.
Networks Connections and traffic flowing among devices and apps, plus communication paths.
Data Content at rest, in transit, or in use across devices, apps, and networks.
Users The people using the devices, apps, networks, and data.

PVML applies differential privacy and dynamic, user-level permissions to queries against sensitive enterprise data, controlling and auditing how analysts, BI tools, and AI agents reach that data without moving it. These data-access controls are mapped to the Cyber Defense Matrix. [f1]

Market Readiness

How well the company can compete in its security market, scored across eight dimensions against public evidence.

Emerging 23 /40 Emerging: Market readiness of 24 or below. Below the typical band, where few analyzed companies sit.
Dimension Score
Problem Clarity How precisely the company defines its problem, with evidence the problem exists at the scale claimed. 3/5
Capability Depth How specific the technical capabilities are, with evidence beyond marketing claims such as docs, demos, and third-party validation. 3/5
Market Timing Whether the market is ready for this product, with evidence that buyers are actively seeking solutions. 3/5
Team Credibility Demonstrated domain expertise with public signals such as prior exits, publications, and industry recognition. 3/5
GTM Proof Evidence of actual traction (customers, revenue signals, partnerships) beyond stated intentions. 2/5
Funding Efficiency Whether funding matches go-to-market ambition, with signs of capital-efficient growth. 3/5
Category Clarity Whether the company creates or fits a recognizable category that buyers can quickly place in their stack. 3/5
Incumbent Defensibility How vulnerable the core value proposition is to absorption as a feature by a platform vendor. 3/5

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Business Risks
Problem & Market
Product Capabilities
Competitive Positioning
Go-to-Market & Traction
Team & Credibility
Trust Readiness
Competitors

Strategy Deep Dive

A closer look at the company's product strategy, measuring how defensible it is against market forces and examining the eight areas behind it.

Defensibility

Contested 13 /21 Contested: Defensibility of 13 to 14, the typical band, where a moat exists but is under pressure. reinforce or reposition

Dimension Score
Value Delivery Does the product sell software as the product, or judgment, trust, or accountability with software as the delivery mechanism. 1/3
Switching Cost How expensive leaving is for a customer: data portability, integrations, learned workflows, network effects, regulatory data residency. 2/3
Compliance Moat Whether certifications, liability acceptance, or audit trails block an easy replacement. 1/3
Problem Complexity Whether the product requires ML, optimization, real-time systems, or years of specialized expertise. 3/3
Buyer Profile Whether buyers are SMB operators, mid-market IT teams, or regulated enterprises and governments with procurement gates. 3/3
Layer Whether the product is an end-user application, a platform with application features, or infrastructure other applications depend on. 2/3
Proprietary Data, Content, or IP Whether the product accumulates datasets, content licenses, or IP that a rival cannot recreate from scratch. 1/3

Unlock the Full Analysis

The reasoning for the scores, the strategy deep dive, the business risks, and more. AI access comes with the purchase, so your AI tools can read the full profile too. You keep 12 months of access.

One-time purchase: $20 per profile.

Unlock

Reading several? Unlock the entire catalog.

Strategic Market Segmentation
Product Capabilities & AI Advantages
Sales Engagement & Go-to-Market
Pricing Model
Product Delivery & Operations
Earning Customers' Trust
Platform Strategy & Ecosystem Positioning
Team & Execution Capability

Sources

Company Detail Sources (3)
Id Source Tier Accessed
f1 PVML product page official 2026-07-04
f2 SecurityWeek on the PVML launch and seed round (April 2024) press 2026-07-04
f3 SiliconANGLE on the PVML $8M seed round (April 2024) press 2026-07-04
Profile Analysis Sources (11)
Id Source Tier Accessed
s1 PVML homepage (displays a Gartner badge and enterprise logo strip, rendered 2026-07-04)
“Enable IT teams to spin up unlimited, secure, AI-ready virtual databases on existing infrastructure, without moving or duplicating a single row of data.”
official 2026-07-04
s2 PVML product page
“Computations are transformed to Differentially Private computations during real-time analysis. On-the-fly privacy All data sources stay in the organization's environment. No need to move data”
official 2026-07-04
s3 About PVML founders page
“Shachar Schnapp Co-founder & CEO Computer Science Ph.D. ... Rina Galperin Co-founder & CTO Computer Science M.Sc.”
official 2026-07-04
s4 PVML data protection technology page
“PVML incorporates beyond state-of-the-art research objectives alongside software engineering in order to provide cutting-edge Differential Privacy (DP) algorithms.”
official 2026-07-04
s5 SiliconANGLE on the PVML $8M seed round by Mike Wheatley (April 2024)
“said today it has closed on an $8 million seed funding round. The lead investor was NFX, and it was supported by FJ Labs and Gefen Capital.”
press 2026-07-04
s6 TechCrunch on PVML by Frederic Lardinois (April 15, 2024)
“Virtually all the large tech companies now use differential privacy in one form or another, and make their tools and libraries available to developers. The PVML team argues that it hasn't really been put into practice yet by most of the data community.”
press 2026-07-04
s7 SecurityWeek on the PVML launch and seed round by Ionut Arghire (April 2024)
“Founded in 2022, the Tel Aviv-based company is building technology to help organizations connect, secure, and provide access to multiple data sources, while delivering insights from sensitive data.”
press 2026-07-04
s8 Help Net Security on the PVML seed round (April 11, 2024)
“Galperin and Schnapp co-founded PVML in 2022. Both are Computer Science postgraduates. Galperin is a Microsoft alumnus with expertise in Natural Language Processing & AI. Schnapp has a PhD in Differential Privacy.”
press 2026-07-04
s9 Calcalist CTech on the PVML seed round by James Spiro (April 10, 2024)
“The Israeli startup, founded by husband and wife Shachar Schnapp and Rina Galperin, aims to democratize secure access to enterprise data based on two pillars: Differential Privacy and AI. ... This framework has been pioneered by tech giants like Google, Apple, and Microsoft via its implementation.”
press 2026-07-04
s10 VisionWave press release announcing the PVML collaboration (PR Newswire, October 8, 2025)
“VisionWave Announces Strategic Collaboration with PVML to Advance Secure, Real-Time AI for Mission-Critical Operations. WEST HOLLYWOOD, Calif. and TEL AVIV, Israel, Oct. 8, 2025 /PRNewswire/”
press 2026-07-04
s11 PVML trust-surface probe (homepage served HTML, trust. and security. subdomains, and /trust /compliance /security-pledge paths), fetched 2026-07-04
“SOC2 compliant.”
official 2026-07-04
Deep-Dive Sources (13)
Id Source Tier Accessed
s1 PVML homepage (Gartner badge, Trusted by logo carousel including Rapyd, sector case studies, re-verified 2026-07-15)
“Enable IT teams to spin up unlimited, secure, AI-ready virtual databases on existing infrastructure, without moving or duplicating a single row of data.”
official 2026-07-15
s2 PVML product page (Try Now and One Step Onboarding flow, Rapyd CISO endorsement, re-verified 2026-07-15)
“Computations are transformed to Differentially Private computations during real-time analysis. On-the-fly privacy All data sources stay in the organization's environment. No need to move data”
official 2026-07-15
s3 About PVML founders page
“Shachar Schnapp Co-founder & CEO Computer Science Ph.D. ... Rina Galperin Co-founder & CTO Computer Science M.Sc.”
official 2026-07-04
s4 PVML data protection technology page
“PVML incorporates beyond state-of-the-art research objectives alongside software engineering in order to provide cutting-edge Differential Privacy (DP) algorithms.”
official 2026-07-04
s5 SiliconANGLE on the PVML $8M seed round by Mike Wheatley (April 2024)
“said today it has closed on an $8 million seed funding round. The lead investor was NFX, and it was supported by FJ Labs and Gefen Capital.”
press 2026-07-04
s6 TechCrunch on PVML by Frederic Lardinois (April 15, 2024)
“Virtually all the large tech companies now use differential privacy in one form or another, and make their tools and libraries available to developers. The PVML team argues that it hasn't really been put into practice yet by most of the data community.”
press 2026-07-04
s7 SecurityWeek on the PVML launch and seed round by Ionut Arghire (April 2024)
“Founded in 2022, the Tel Aviv-based company is building technology to help organizations connect, secure, and provide access to multiple data sources, while delivering insights from sensitive data.”
press 2026-07-04
s8 Help Net Security on the PVML seed round (April 11, 2024)
“Galperin and Schnapp co-founded PVML in 2022. Both are Computer Science postgraduates. Galperin is a Microsoft alumnus with expertise in Natural Language Processing & AI. Schnapp has a PhD in Differential Privacy.”
press 2026-07-04
s9 Calcalist CTech on the PVML seed round by James Spiro (April 10, 2024)
“The Israeli startup, founded by husband and wife Shachar Schnapp and Rina Galperin, aims to democratize secure access to enterprise data based on two pillars: Differential Privacy and AI.”
press 2026-07-04
s10 VisionWave press release announcing the PVML collaboration (PR Newswire, October 8, 2025)
“VisionWave Announces Strategic Collaboration with PVML to Advance Secure, Real-Time AI for Mission-Critical Operations. WEST HOLLYWOOD, Calif. and TEL AVIV, Israel, Oct. 8, 2025 /PRNewswire/”
press 2026-07-04
s11 PVML homepage served HTML carrying the SOC2 compliant claim, re-verified 2026-07-15
“SOC2 compliant.”
official 2026-07-15
s12 Trust-subdomain probe 2026-07-15: trust.pvml.com and security.pvml.com do not resolve (NXDOMAIN) official 2026-07-15
s13 Trust-path probe 2026-07-15: /trust, /compliance, and /security-pledge return 404, no trust portal or inspectable report served official 2026-07-15

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