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Cambridge Terahertz

Cambridge Terahertz provides a discreet, terahertz-based concealed weapons detection system that screens individuals as they walk naturally through entrances. The 2-pound sensors mount like security cameras and use AI to interpret imaging data, generating anonymized threat alerts without capturing personal data, making it suitable for healthcare, enterprise, and government facilities.

Traction 10/10
San Francisco, California, United States · HQ · Inferred
Founded 2022 (estimated)171K+ followers
  • Internet of Things
  • Artificial Intelligence
  • Hardware
  • Cybersecurity
  • Enterprise Software
Updated 1 month ago

Funding

Raised to date

$12MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

Funding rounds are not available yet.

Founders

3 founders

Nathan Monroe

CEO

Sunnyvale, United States

Since Jan 2022 · 4 yrs 10 mos

  • Ex-Microsoft
  • MIT

MIT PhD

Anand Dixit

CTO & Co-Founder

San Francisco, United States

Since Feb 2023 · 3 yrs 9 mos

  • Stanford
  • Carnegie Mellon

Oracle Principal HW Eng.

Refael Whyte

Former Co-Founder

  • Ex-Microsoft

Microsoft intern

Product

Problem

Traditional security screening methods, such as metal detectors and X-ray systems, are expensive, personnel-intensive, and intrusive, often requiring physical pat-downs. These systems also suffer from high false positive rates and fail to detect non-metallic threats like ceramic weapons, explosives, or 3D-printed firearms, creating operational inefficiencies and security gaps in settings like hospitals and corporate campuses.

Solution

Cambridge Terahertz provides a compact, real-time, and non-intrusive concealed weapons detection system using terahertz imaging technology. The system employs lightweight, wireless sensors—weighing just 2 pounds—that mount like security cameras on walls, ceilings, or entrance systems, screening people as they move naturally without stopping or forming lines. Proprietary AI interprets high-resolution terahertz data to identify the type, shape, and location of concealed objects, both metallic and non-metallic, with minimal false positives. Privacy is protected by design: AI analyzes the imaging data while security operators receive only anonymized alerts showing threat location, with no personal data captured. The technology emits less power than a smartphoneable and is FCC-certified, and deployments take minutes rather than days, with a subscription model enabling affordable scaling across multiple entrances.

Target Audience

The primary target audience includes hospitals and healthcare systems, corporate enterprises such as campuses and data centers, government agencies, and schools seeking non-intrusive, scalable concealed weapons detection to meet security and compliance requirements.

Features

  • Compact, wireless terahertz imagers weighing 2 pounds for concealed object detection through fabric, bags, and packages
  • Real-time screening of individuals walking naturally through entrances, with no stopping, lines, or checkpoints
  • AI-powered detection engine identifying guns, knives, explosives, 3D-printed weapons, contraband, and electronic components
  • Privacy-by-design architecture where AI interprets images and human operators receive only anonymized threat alerts
  • Encrypted wireless data transmission and centralized SaaS application for policy management and alert display
  • Secure REST APIs for integration with existing security and video management systems
  • Adaptive AI that aggregates anonymized data across sites to continuously improve detection accuracy
This profile is AI-generated and may contain inaccuracies.