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QoreNext builds AI agents that solve enterprise data problems — the kind that quietly undermine good decision-making, whether that's a CRM full of stale, duplicate, or incomplete records, or a screening process built on data no one fully trusts. Trade compliance and CRM data quality are two of the areas where this problem shows up most visibly today, and where our products are already live: Trade Screening and Denied Party List checks for compliance and risk teams, and continuous CRM validation and enrichment for RevOps and sales teams. Every product runs on the same governed pipeline — RPA, GenAI, and human review — so decisions are fast without sacrificing accountability. Every consequential change is logged, and every agent is reviewed before it ships. Our tools are also MCP-native, so they plug straight into AI assistants like Claude and Cursor with no custom integration. Beyond our core products, we build custom AI agents that automate a team's existing manual workflows. A team can describe the process in plain language, or simply hand over the emails and documents where it already lives, and we turn that into a production-grade agent, tested against real data and deployed into their environment, live in weeks rather than months.

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Rahul Sahgal is the Founder of QoreNext.

28 people are employed at QoreNext.

The NAICS codes for QoreNext are [51, 513].

The SIC codes for QoreNext are [737, 73].

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