2Trust.AI gives organizations a way to adopt artificial intelligence with confidence by providing a complete governance and assurance layer for every model they deploy.
Modern enterprises are under pressure to innovate quickly with AI, yet each deployment introduces operational, regulatory, and reputational risk. Existing tools focus on model performance or data security in isolation, leaving a gap around verifiable accountability, auditability, and compliance with emerging global standards.
2Trust.AI fills that gap by continuously evaluating how models behave, how they use data, and how their outputs align with policies, business rules, and regulatory expectations such as the EU AI Act and leading North American frameworks. It brings transparency into an area that has historically been a black box.
The platform connects directly to production systems, monitors real-world interactions in real time, and applies automated guardrails so teams can detect unexpected responses before they escalate into incidents. It generates clear evidence trails and automated documentation that previously required manual effort, enabling compliance, legal, and engineering teams to speak the same operational language. Enterprises can integrate the system with their existing infrastructure in hours, not months, and gain a unified view across internal models, commercial LLMs, and custom agentic workflows.
For business leaders, 2Trust.AI reduces the uncertainty that slows adoption. For engineering and product teams, it removes the friction of proving compliance. For legal and risk teams, it provides defensible transparency and the audit-ready reporting required by regulators and customers. As AI becomes woven into every workflow, companies need a foundation that lets them innovate faster while staying inside their risk tolerance. 2Trust.AI serves as that foundation, giving enterprises the assurance that their AI is operating safely, responsibly, and in alignment with their strategic goals.