Oscilar, the AI Risk Decisioning™ platform, and Markaaz, the global business identity and intelligence platform, announced a strategic collaboration to embed Markaaz's verified business intelligence into Oscilar's unified no code risk stack. By bringing together Oscilar's AI-native architecture with Markaaz's deep business-firmographic and ownership intelligence, the partnership will enable enterprises and financial institutions to automate and enhance risk decisioning across onboarding, fraud, credit, and compliance.

Through this collaboration, Oscilar will integrate Markaaz's world-class global business intelligence data, which includes detailed entity profiles, ultimate beneficial ownership (UBO) linkages, firmographic attributes and real-time monitoring signals, into its platform. This integration enables Oscilar's customers to embed rich business-identity intelligence into their risk workflows—empowering no-code and low-code risk teams to access actionable business data in sub-100 millisecond decision loops.

"Markaaz embeds business entity verification directly into our decisioning workflows, so risk teams get the full picture exactly when they need it," said Neha Narkhede, Co-Founder and CEO of Oscilar. "That means when a fintech is onboarding a merchant or a bank is underwriting a B2B loan, they're seeing UBO linkages, firmographic data, and real-time monitoring signals in the same interface where they're already evaluating fraud and compliance risk: no separate lookups, no engineering required."

"This partnership with Oscilar marks a pivotal moment for Markaaz," said Hany Fam, Founder and CEO of Markaaz. "By providing our business intelligence  to Oscilar's AI-native decisioning engine, we're empowering institutions to assess, onboard and monitor business relationships with unparalleled speed and confidence—helping them stay ahead in a dynamic risk landscape."

Together, Oscilar and Markaaz are creating a new paradigm for business-entity risk decisioning—one where deep business intelligence is seamlessly embedded into autonomous, no-code workflows and continuous monitoring engines. The collaboration positions both companies to address the growing demands of global digital commerce, compliance complexity and AI-driven fraud.