Trust Lab, a Silicon Valley startup founded by Google’s former head of Trust and Safety, has bagged $15 million in venture capital funding to build AI-powered technology to detect and monitor harmful content on the internet.
The Palo Alto company said the $15 million Series A was led by U.S. Venture Partners (USVP) and Foundation Capital, two prominent investment firms betting on cybersecurity startups.
Trust Lab, the brainchild of Google veteran Tom Siegel, is positioning itself as an outsourced moderation shop with tooling that combines monitoring, compliance, and enforcement of harmful and illegal content at scale.
Trust Lab said its technology detects and monitors harmful content and actors using AI-enabled classifiers and rules engines and is currently used by government agencies in Europe, In-Q-Tel, and many leading social media companies, messaging platforms, and marketplaces.
Last year, the company inked a deal with the European Commission to assess the amplification of terrorism and extreme violence on social media with a 40-week project to track and measure proliferation of harmful content across eight European markets.
Trust Lab said its technology can also be used to identify harmful content and actors via “digital fingerprints” across platforms using network graphs.