Charlemagne Labs, Inc

What Charlemagne Labs, Inc does

Charlemagne Labs, Inc is a private, for-profit company founded in 2025 that builds AI-based solutions for personal safety, security, and privacy, with a headcount of 1-10 employees. Its flagship product is Agent Charley, an on-device security agent powered by a proprietary Small Language Model (SLM) that performs real-time phishing defense, pre-submission data loss prevention (DLP) for MNPI, PII, and credentials, browser-level user-flow visibility for SOC teams, and agentic AI observability for AI tools installed on work devices. The architecture is explicitly privacy-preserving: all inference runs locally on the endpoint so that clipboard contents, form submissions, OAuth grants, and file uploads never leave the device for analysis, and the company combines this with proprietary threat intelligence gathered from dark web marketplaces and underground forums to keep its models current. The product deploys in under two minutes per endpoint with no infrastructure changes required.

The company monetizes Agent Charley through a tiered SaaS subscription with Basic, Team, and Enterprise plans, sold via a self-serve portal (dash.charlemagnelabs.ai) for smaller buyers and an enterprise direct-sales motion for accounts requiring SOC webhook integration and audit-ready activity exports. A promotional 1-month free Pro Plan trial (code JUNE2026) is currently offered. Its customer base spans organizations of all sizes needing on-device protection against AI-enhanced social engineering, with SOC teams as a secondary buyer unit prioritizing faster incident response and contextual browser visibility beyond traditional EDR. Charlemagne Labs also positions as a research-driven vendor, publishing an AI security blog and contributing frontier-model social-engineering evaluation work to Meta AI's Muse Spark Safety & Preparedness Report (November 2025), with earned media in WIRED (April 2026) and Fortune (June 2026) reinforcing its thought-leadership profile.

Founders include CEO Jeremy Philip Galen (12+ years at Meta in trust-and-safety ML), Co-founder and AI & Security Lead Staford Titus Selvaraj (cybersecurity researcher and published author), Lead Interaction Designer Kseniia Ha (ex-Meta), ML Expert Richard Whaling (former director of data engineering at M1 Finance), and Cybersecurity Consultant Wajih Ul Hassan (UVA computer science professor and 2024 NSF CAREER Award recipient). The company discloses no funding rounds, no investors, no board composition, and no revenue figures.

Name

Charlemagne Labs, Inc

Legal name

Charlemagne Labs

Website

https://charlemagnelabs.ai

Company type

Private

Founded year

2025

Operating status

Operating

Headcount range

1–10 employees

Short description

Charlemagne Labs builds Agent Charley, an on-device Small Language Model security agent that delivers real-time phishing defense, clipboard-based DLP, browser visibility, and agentic AI observability for enterprise endpoints and SOC teams via tiered SaaS subscriptions.

Ownership category

akta.pro rank

Product category

Endpoint Security Software

NAICS

Security Systems Services (except Locksmiths) (561621), Software Publishers (5132)

SIC

Services-Computer Programming Services (7371)

akta.pro primary industry

Threat Intelligence, Hunting & Adversary Emulation (BPAKAHAE)

Keywords

• On-device security agent
• Phishing prevention software
• Data loss prevention
• AI threat detection
• Endpoint security

Headquarters

HQ city

New York

HQ country

United States

HQ region

North America

Markets served

GTM type

B2B

Offering type

Software

Cost components

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

Revenue model

1. SaaS Subscription (Agent Charley): Tiered subscription model with Basic, Team, and Enterprise plans. Offers 1 free month promotional trial (code JUNE2026). Revenue from seat-based or tier-based licensing of the on-device security agent.

Pricing tiers

Go-to-market motion1 record

Distribution channels2 records

Marketing channels5 records

Core offering

Charlemagne Labs develops Agent Charley, an on-device security agent powered by a local Small Language Model (SLM) that provides real-time phishing defense, pre-submission data loss prevention (DLP) for MNPI, PII, and credentials, browser-level visibility to close EDR gaps, and agentic observability for AI tools on work devices. The product combines four security capabilities into a single agent that intercepts social engineering threats before employee clicks while keeping all sensitive data on-device.

Product overview

Charlemagne Labs offers Agent Charley as a unified 4-in-1 on-device security agent (phishing prevention, DLP, visibility, and agentic AI) that runs entirely on-device using a private SLM. The product provides real-time social engineering defense with cursor-level alerts, pre-submission data loss prevention by scanning clipboard contents before paste, closes EDR visibility gaps by capturing browser-level user flows, and upcoming agentic observability for AI tools on work devices. Deployment takes under 2 minutes per endpoint with no infrastructure changes required.

Differentiator

Problem solved

Functional benefit

Brands

• Agent Charley: On-device security agent powered by a local SLM that intercepts social engineering, provides pre-submission DLP scanning, and offers agentic observability for AI tools on work devices.

Products and services

• Agent Charley

Quantifiable outcome

• Deploys in under 2 minutes per endpoint with no infrastructure changes
• +1 more outcomes

Segments2 records

Ideal customer profiles2 records

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

AI capability4 records

Feature5 records

Scale indicators2 records

Recent moves6 records

Expansion highlights5 records

Emerging players

• Menlo Security: Menlo Security isolates browsing in the cloud to prevent phishing and browser-borne attacks against enterprise users. Comparable browser-layer phishing prevention thesis delivered via isolation rather than on-device AI agent.
• SlashNext: SlashNext uses AI to detect phishing, BEC, and social-engineering attacks across email, browser, and messaging channels. Directly comparable AI-driven phishing-defense thesis, though broader in channel coverage; positioned ahead of Charlemagne Labs in enterprise adoption.
• Island: Island provides an enterprise browser with embedded DLP, browser-level controls, and agentic governance. Comparable vision of pushing security controls into the browser layer where traditional EDR stops, but delivered as a full managed browser rather than an agent.

Direct peers

• Nudge Security: Nudge Security provides a SaaS platform that discovers and governs SaaS and AI tool adoption from the browser, coaching employees in real time. Comparable as a lightweight, browser-resident security agent with employee-coaching UX similar to Agent Charley.
• Abnormal Security: Abnormal Security uses AI to detect and block phishing, account takeover, and social engineering attacks at the email layer. Comparable AI-driven social-engineering defense approach, focused upstream at email rather than browser/clipboard, but addressing the same buyer and threat.
• Cyberhaven: Cyberhaven offers a browser-based data security and DLP agent that traces sensitive data flows inside the browser. Directly comparable to Agent Charley's browser visibility and clipboard DLP capabilities, with a similar endpoint-agent delivery model targeting enterprise SOC teams.
• Material Security: Material Security protects data inside mailboxes and adjacent productivity tools with detection and response workflows. Comparable as an AI-augmented detection-and-response product for the human attack surface, with similar enterprise SOC integrations.
• Tessian (now part of Proofpoint): Tessian applies AI to prevent data loss and phishing via email, including accidental mis-sends and credential theft. Closely comparable AI-driven human-layer security product, now backed by Proofpoint's distribution.

Broad incumbents

• CrowdStrike: CrowdStrike's Falcon platform provides endpoint detection, identity protection, and browser/email-layer telemetry as part of a broad security suite. Comparable as an endpoint-resident security vendor that already covers phishing-adjacent telemetry; a primary competitive incumbent.
• Zscaler: Zscaler's Zero Trust Exchange inspects browser, web, and SaaS traffic with inline DLP and threat prevention. Comparable in browser/SSE-level visibility and DLP; an incumbent whose installed base could natively absorb Charlemagne Labs-style prevention features.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat4 records

Key risks7 records

Key highlights7 records

Customer concentration

• Xx.com/charlemagnelabs
• YouTubeyoutube.com/@charlemagnelabs/shorts
• LinkedInlinkedin.com/company/106548206
• Instagraminstagram.com/charlemagnelabs
• TikToktiktok.com/@charlemagnelabs

Revenue estimate

Valuation estimate

Number of profiles

Profiles5 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 Charlemagne Labs, Inc