TrustLab provides AI‑powered platforms for Trust & Safety teams to proactively discover high‑harm threats and efficiently label content. DetectAI uses autonomous agents to crawl multiple online ecosystems, stitch identities, and deliver high‑confidence, evidence‑rich leads, while ModAI combines large‑language‑model classifiers with human‑in‑the‑loop review to produce fast, cost‑effective, high‑quality data labeling. Both solutions integrate via APIs or dashboards and include audit trails and compliance certifications to help organizations intervene before threats reach their services.
Funding
$15M raised to dateRaised 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.
Founders
Product
Problem
Trust & Safety teams struggle to detect high‑harm threats that originate on off‑platform communities, leading to reactive damage control, costly manual investigations, and exposure to fraud, synthetic identities, and IP theft.
Solution
TrustLab offers AI‑powered platforms—DetectAI and ModAI—that shift safety operations from reactive moderation to proactive threat intelligence and efficient data labeling. DetectAI deploys autonomous agents that crawl multiple online ecosystems, identify coordinated malicious actors, and deliver high‑confidence leads with cross‑platform evidence. ModAI combines large‑language‑model classifiers with human‑in‑the‑loop review to produce fast, cost‑effective, high‑quality content labels and moderation data. Both solutions integrate via APIs or dashboards, provide audit trails and compliance certifications, and enable security teams to intervene before threats reach their own services, reducing investigation labor and protecting brand integrity.
Target Audience
Primary customers are Trust & Safety, fraud prevention, and content moderation teams at large online platforms, marketplaces, and media companies that need proactive threat detection and scalable labeling solutions.
Features
- Agentic AI workflows that automatically discover, link, and document high‑harm entities across forums, social networks, and marketplaces
- Dynamic coded‑language detection and keyword mining to stay ahead of evolving extremist or scam terminology
- Cross‑platform identity stitching that maps usernames, accounts, and bot farms across Instagram, YouTube, Telegram, and other services
- Structured, evidence‑rich leads with screenshots and linked accounts that feed directly into moderation tools or case management systems
- AI‑augmented multi‑modal data labeling with LLM‑as‑a‑Judge, expert human validation, and continuous learning loops
- Real‑time quality dashboards, audit trails, and compliance reporting (SOC 2 Type 2, GDPR, NIST CSF)
- Flexible integration via REST APIs or direct connectors to existing moderation and labeling pipelines