For sales and GTM leaders juggling HubSpot, Outreach, Gong, and Slack, Nex is an agent-native GTM platform that studies team workflows and deploys AI agents to run tasks like CRM hygiene, meeting prep, and pipeline monitoring automatically.
Presence & Market Position
Tracked · below panel floor — earned mentions are accruing toward the next scored window.
Measures earned, engagement-weighted share of voice across the GTM voices panel. Methodology →
Nex is positioning itself as the AI GTM engineer a company doesn't have to hire — describe a workflow in plain language, and the platform builds and runs it across a connected stack of CRM, email, calendar, and outreach tools, aimed at sales and revenue teams who feel the gap between what a dedicated GTM engineer could automate and what their headcount allows. Founded by former HubSpot platform engineers, the company is early in its public life. Presence in GTM conversation reads as a quieter footprint so far, the pattern of a new entrant introducing a category rather than one already being debated across the market.
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Business Profile
Nex is a young company, founded in 2025 by Nazz Mohammad and Francisco Dias, both former HubSpot platform engineers. Dias was the fourth engineer on HubSpot's CRM before its IPO; Mohammad ran product for HubSpot's largest customer platforms. The team is small and based in San Francisco, and went through Y Combinator's Summer 2026 batch. Investors include HubSpot founder Dharmesh Shah, Freshworks founder Girish Mathrubootham, and venture firms Boldcap Ventures, TogetherFund, Leonis Capital, and Cur8 Capital.
Agent Readiness
Measures how easily your agents can build on it — API, MCP, CLI, SDK, docs depth. Methodology →
Nex ships agent-facing surfaces as the core of the product: a CLI, a portable SKILL.md agent-skill file, and an MCP server exposing a full tool suite, with plugins built for Claude Code, Cursor, Windsurf, Codex, and other agent frameworks. Its own GTM workflows, including CRM hygiene, meeting prep, and deal monitoring, already run as autonomous agents across a connected stack of 1,000+ integrations, built from natural-language prompts rather than code.
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