Nex is an AI agent built to clean CRM data, revive cold deals, and score leads against what a business actually closes, priced at $49 a seat with vendor-estimated savings of $200 to $500 a month per workflow.
Somebody on every revenue team ends up doing the unglamorous work.
Duplicate contacts. Deals that went quiet three weeks ago and nobody followed up. Leads scored against a generic checklist instead of what the business actually closes. Most teams either let it pile up until it becomes a quarterly cleanup project, or they pay for a handful of point tools to chip away at pieces of it.
Nex is built to take that job over. The company calls itself an AI GTM engineer, and its landing page frames the pitch directly against general purpose assistants: it says it automates work like CRM cleanup, large list qualification, and revenue recovery "at large volumes, that break general purpose agents." Connect it to HubSpot, Gmail, Slack, and a calendar, and it maps how the team actually works, deal stages, follow-up cadence, escalation triggers, before deploying agents against specific jobs.
The clearest way to see what it does is the list of prebuilt agent templates on the site. A CRM Hygiene agent audits contacts and companies for duplicates, missing fields, and stale records, then proposes fixes for a person to approve. A Closed-Lost Re-engagement agent scans for deals gone cold for 90 days or more, pulls the deal history and loss reason, and drafts a reconnection email grounded in that context. Every draft and every proposed change requires approval before anything goes out. There is also a Deals Going Dark agent that watches email, Slack, and calendar for silence on active deals, and a Lead Scoring agent that scores inbound leads against a company's own closed-won patterns rather than a generic MQL rubric.
Nex attaches a savings estimate to each of these on its own site: $200 to $500 a month for CRM hygiene, $300 to $400 for closed-lost re-engagement, $200 to $400 for catching deals going dark, $300 to $500 for lead scoring. Those numbers come from Nex, not an independent audit. The page does not say whether an estimate reflects a RevOps analyst's time, a point-tool subscription it replaces, or something else. Worth reading them as a vendor's estimate, not a verified benchmark.
The actual cost of the tool sits on its pricing page: a Pro plan at $49 per seat per month, which includes $100 of monthly AI usage, unlimited data sources and workflows, and access to more than a thousand app integrations. A 7 day free trial comes with $25 of usage included before billing starts. A Team tier sits above that with unlimited seats, custom integrations, dedicated onboarding, and a SOC 2 report on request, priced by quote. If Nex's own estimate for even one workflow, CRM hygiene at $200 to $500 a month, holds up in practice, a single $49 seat pays for itself. That is the pitch. It has not been tested against an outside benchmark here.
Nex is also backed by people who know this exact workflow. Dharmesh Shah, the HubSpot founder, and Girish Mathrubootham, who founded Freshworks, are both listed as investors on the company's own site, alongside a handful of venture funds. That is a meaningful signal about who believes the CRM cleanup problem is worth solving. It is not evidence that the product performs as described.
A few places this is probably wrong for someone. Everything here assumes the GTM stack already lives in tools Nex can connect to: HubSpot, Gmail, Slack, a calendar. A team running a smaller or nonstandard stack, or one without enough deal history for pattern matching to mean much, will not get much out of it yet. The approval step on every email and every proposed CRM change is a real safeguard, but it also means this is not a hands off fix. Someone still has to review what it drafts. And a business in a regulated industry, or one simply uncomfortable connecting its CRM and inbox to a third party agent, has a legitimate reason to wait.
The CRM cleanup job has always been the kind of work that is important and never quite urgent enough to get done. Whether an agent doing it actually changes that calculus, or just becomes one more system somebody has to check on, is the part worth watching.