Company
Sumu
PORTFOLIO›SUMU›DATA ROOM
ACTIVE RAISEOPEN TO INVESTMENT
CYBERSECURITY· DUAL USEactive

SUMU

"The cloaking layer for the modern stack: Eliminating traffic analysis attacks, fingerprinting, and risk - across both the DNS and HTTPS layers."

STAGE
Pre-Seed
FOUNDED
2024
HQ
United States
TEAM
4 people
CybersecurityDNS SecurityTraffic ObfuscationPrivacyNetwork DefenseEncryption

SUMU's patented traffic obfuscation engine introduces controlled uncertainty into DNS and HTTP traffic, disrupting the classifiers used for surveillance, profiling, competitive intelligence, AI traffic analysis, and metadata harvesting. By making every connection statistically indistinguishable from every other, SUMU removes the identifying patterns that turn metadata into intelligence.


SUMU is a cybersecurity company focused on protecting DNS & HTTPS traffic privacy through patented traffic obfuscation technology. The company's core innovation is a traffic obfuscation engine that injects "intelligent noise" into encrypted DNS or HTTPS traffic, preventing pattern-based website fingerprinting and snooping even when queries are already encrypted.


While standard encryption protects the content of queries, it does not hide traffic patterns that allow adversaries to infer which websites a user is visiting. SUMU addresses this gap by adding obfuscation layers that make traffic patterns indistinguishable, providing a higher level of privacy for organizations and individuals operating in surveillance-sensitive environments. The technology is relevant for defense, enterprise, and privacy-conscious sectors where network traffic analysis poses a threat.


The company holds a granted patent on its traffic obfuscation methodology, positioning it as a foundational privacy layer for encrypted DNS and HTTPS communications. As encryption adoption accelerates across enterprise and government networks, SUMU provides the critical next layer of defense: protecting not just what is queried, but the metadata patterns that reveal who is querying and when.

Sumu
CybersecurityDNS SecurityTraffic ObfuscationPrivacyNetwork Defense
EXISTING CUSTOMERS
None at this time.
TARGET CUSTOMERS
MSPs
OEM
Defense Agencies
Intelligence Community
Enterprises with Sensitive Communications
Privacy-Conscious Organizations
Government Networks

AI MARKET INTELLIGENCE

Generate an AI-powered market intelligence report for the Cybersecurity sector using live web data.

CybersecurityDNS SecurityTraffic ObfuscationPrivacyNetwork DefenseEncryption

Uses live internet data · Powered by Gemini

KEY FINANCIALS

No financial data entered yet

PERFORMANCE TREND SIMULATOR

PERFORMANCE TREND SIMULATOR— 24-month projectionSEEDED: Sumu
24 months
6mo5yr10yr

SUBSCRIPTIONS / SALES

Starting subscriber count

%

New subscribers as % of base

$

Monthly revenue per subscriber

%

% of subscribers lost monthly

SALES VARIABLES

$

One-time / transactional revenue M1

%

Monthly compounding growth

COST VARIABLES

$

Monthly burn (salaries, ops, rent)

%

Cost scaling as team grows

%

COGS / delivery cost

$

Marketing + sales cost per new sub

$81K

MONTH 24 REVENUE

44

MONTH 24 SUBSCRIBERS

$12K

MONTH 24 NET PROFIT

Month 20

BREAK-EVEN

$17K

LTV (EST)

97.0%

NRR (EST)

23.4%

RULE OF 40

$200

CAC

Revenue streams vs total costs over 24 months

M1M2M3M4M5M6M7M8M9M10M11M12M13M14M15M16M17M18M19M20M21M22M23M24$0$20K$40K$60K$80K
  • Subscription Rev
  • Sales Rev
  • Total Costs

Illustrative projections only. Not financial advice.

P&L PROJECTIONS

No data available.

ANNUAL SALES / SUBSCRIPTIONS

No sales data available. Add products and forecast entries first.

INVESTMENT DETAILS

OPEN TO INVESTMENT

INVESTMENT ROUND DETAILS

ROUND SIZE

$0

INSTRUMENT

N/A

PRE-MONEY VAL

$0

No tranche data entered yet.

- Develop, test & patent HTTPMask (HTTPS) - Harden the DNSMask MVP - AI optimization & adversarial testing - Pilots with enterprise & provider partners - Compliance, licensing & IP - Position for licensing / strategic acquisition

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KEY DIFFERENTIATORS

1

Patented traffic obfuscation engine injecting intelligent noise into encrypted DNS traffic

2

Prevents pattern-based website fingerprinting even with DoH/DoT encryption already in place

3

Addresses traffic analysis gaps that standard DNS encryption does not cover

4

Foundational metadata privacy layer for defense, enterprise, and surveillance-sensitive environments

COMPANY MILESTONES

2
COMPLETED
0
IN PROGRESS
3
PLANNED

TEAM & INVESTORS

CORE TEAM
S

Scott Allan

CRO - Business Development

C

Chad Smith

Co-Founder and CFO

A

Alireza Vahid

Co-founder & Chief Technologist

H

Haadi Jafarian

Co-founder & Chief Scientist

M

Matt Bauer

Co-Founder and CEO

ADVISORS
S

Soeren Orlowski

Advisor

A

Amir Niakanlahiji

J

John Jordan

Advisor

S

Stephen Candelmo

Chief Counsel

C

Chris Butler

Advisor

DATA ROOM DOCUMENTS

Documents require approved access

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Disclaimer: All investment possibilities, financial models, and projection tools presented are illustrative only, do not constitute financial, legal, or investment advice, and Qu4tro Labs does not guarantee any results, performance outcomes, or return on investment.