Neotas is an AI-driven risk intelligence company specialising in enhanced due diligence and third-party risk management. As supply chains grow more complex and regulatory expectations intensify enterprises need risk intelligence that is continuous, connected, and automation-ready. Neotas provides a modular, no-code, API-first platform that combines open-source intelligence (OSINT), premium regulatory data, and configurable risk models to uncover behavioural, reputational, and integrity risks that traditional screening tools routinely miss.

Architected in alignment with MACH principles, Neotas enhances, rather than replaces, core enterprise systems. The platform integrates seamlessly into existing GRC, procurement, AML, ERP, and CRM environments via API, serving as a composable intelligence layer that delivers multi-domain risk visibility across TPRM, ESG, KYC, and HR screening within a single auditable framework. This means organisations can embed best-in-class risk intelligence into their current technology stack without architectural overhaul or vendor lock-in.

Their mission is to create trust in business relationships through transparency, intelligence, and integrity. For risk, compliance, and procurement professionals operating under growing regulatory pressure with finite resources, Neotas automates the repeatable work, surfaces the risks that matter, and delivers the depth of insight that auditors and boards demand. Neotas believes the most impactful technology adapts to the client’s process, not the other way around.

Recent innovations include agentic AI capabilities within our Investigative Platform, automating the multi-source research across corporate records, litigation, social media, adverse media, and sanctions that previously required hours of analyst effort. They have also expanded continuous monitoring with real-time alerts and escalation triggers, enhanced AI-driven risk classification to improve signal detection and reduce analyst workload, and introduced a configurable no-code workflow engine that allows organisations to define their own onboarding, questionnaire, and escalation processes without developer involvement.

Over the next 12–18 months, Neotas is focused on closing the gap between what automated screening tools can detect and what human investigators uncover, making investigative-grade intelligence accessible at enterprise scale through agentic AI. They are extending the platform toward increasingly autonomous risk workflows where routine assessments run end-to-end without human intervention and analyst effort is reserved for genuinely complex cases. And are deepening their API-first integration capabilities across the MACH ecosystem to make Neotas the default intelligence layer for any composable enterprise stack managing third-party risk.