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AI agents that run RevOps workflows on autopilot.
Connects AI agents to live data across CRMs, email, and Slack to build a unified context graph. Automates CRM hygiene by identifying duplicates, stale records, and missing fields. Re-engages closed-lost deals by drafting context-aware emails based on past deal history. Detects when active deals go dark across communication channels and flags them for follow-up. Scores inbound leads dynamically against actual closed-won patterns rather than generic criteria.
Replaces manual data entry and generic CRM workflows with AI agents that act on real-time organizational context. Provides enterprise-grade security with SOC2 Type 1 compliance, multi-tenancy, and role-based access control. Plugs into any compatible agent framework via REST API or MCP, allowing a single context graph to serve multiple agents. Minimizes AI hallucination by fetching live, permission-restricted information at inference time. Reduces operational overhead by consolidating RevOps tasks like lead scoring and data hygiene onto a single platform.
Category: Business & Operations
Team Size: 2-10
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Nex AI is an organizational context platform that connects AI agents to real-time business data. It automatically syncs with CRM systems, email, Slack, and data warehouses to build a living context graph of people, relationships, and deal pipelines. By unifying structured and unstructured data, Nex allows AI agents to autonomously handle go-to-market workflows like CRM hygiene, lead scoring, and closed-lost re-engagement.
Founded in 2024 by Najmuzzaman Mohammad and Francisco Dias in San Francisco. The Y Combinator alumni previously managed core platforms at HubSpot, with Dias serving as a founding engineer on the HubSpot CRM. They built Nex to provide an intelligence layer that gives AI agents true organizational awareness.
