AI Infrastructure for Revenue Teams
More strategy, less engineering
Trained on 10,000+ live sales & marketing engines across industries
Everything you can Delegate to nRev on Day One.
Pick a playbook. It goes live in minutes.
Steal Competitors' Deals
Find prospects who are evaluating tools in your space; accounts and decision makers. These are half-sold prospects. Sell to them in 1/5th the typical sales cycle.
Signal Based Outbound
Track companies that are in-market for your offering; focused on initiatives you solve, industry regulation change that triggers need + 25 more.
LinkedIn Growth Engine
Not just cold outbound automation but holistic growth; ICP engaging with your content, your competitors' content, relevant topics, warm network and more.
Website Visitor Tracking
Don't let the people already on your website and LinkedIn page leave; automated ICP filtering, personalised email, LinkedIn and BDR notification to call.
New Pipeline from CRM Data
Champion moved to new ICP account; Lookalike accounts from closed won deals; Referrals from champions; and half closed deals forgotten.
NREV CAPABILITIES
See us in Action
Ditch your 25-tool GTM stack.
Enrichment, outbound, LinkedIn, competitive intel, social, workflows. Most GTM teams pay for each one separately, then lose weeks wiring them together. nRev runs all of it.
Not a better tool. A GTM Intelligence Platform.
nRev isn't a better version of what you already use. It's a different layer. Describe what you want in plain English. GTM agents figure out the how, build it, and run it.
GTM agents that consult, then build
Describe a revenue problem. The agent asks the right questions, picks the right playbook, and deploys it.
Every action logged and reversible
No black boxes. You see exactly what ran, why it branched, and you can undo any step.
Intelligence that compounds
Trained on 10,000+ real GTM automations. Every workflow your team runs makes the next recommendation sharper.
One Platform. Two Ways In.
Visual Workflow Builder
For RevOps and Marketing Ops. Describe what you want or pick a playbook.
nRev CLI for Claude Code
For GTM Engineers. Build lists and enrich in your terminal.
Install CLI
Bring nRev's GTM magic into Claude Code ✨
Give your Claude Code a Phd in Revenue Operations.
- Rapid-fire List Building 🚀
- On-demand Data Enrichments 💎
- Agentic actions via On-Demand MCPs 🤖
SEND THIS TO CLAUDE CODE (OR ANY AGENT OF YOUR CHOICE)
Please install the nRev CLI for me.
Run this command in the terminal:
pip install nrev-liteOnce installed, initialize the connection:
nrev-lite initA browser tab will open — let me know when it does so I can approve access. Once I approve, confirm with:
nrev-lite statusIntegrations
Featured Stories
How Mindtickle Automated Pipeline Generation Inside CRM
Pipeline was capped by SDR bandwidth - reps stuck researching instead of selling. nRev built an autonomous engine that monitors social signals, competitor activity, and champion movement, then drops qualified leads straight into Salesforce every week - no manual prospecting, no extra headcount.
How PriceLabs Built an AI-Powered Outbound Engine
Scaling outbound globally used to mean hiring an army of researchers and copywriters. PriceLabs built a 3-layer AI engine that researches accounts weekly, generates hyper-personalized multilingual sequences daily, and routes every 4th one through a Slack human-in-the-loop - shipping quality outreach at scale without adding headcount.
How Mysa.io Built an AI-Powered Intent Engine for Pipeline Growth
Outbound was guesswork — reps chasing accounts with no signal of real intent. nRev built a multi-source intent engine that watches hiring activity, website visitors, and competitor engagement, then auto-researches the hottest accounts and ships personalized LinkedIn and email sequences with built-in sending limits and reply detection.
How Oloid Scaled Outbound by Scaling Experiments, Not Cost
Enterprise outbound stalled because no one could tell which triggers, personas, or messaging actually booked meetings. nRev built a GTM experimentation layer that detects live signals, tracks champion movement, and expands TAM dynamically — running parallel outbound experiments that surface real opportunities without new tools or headcount.
How SentiSum Built an AI-Powered LinkedIn Growth Engine
Anonymous website traffic was walking away un-worked, and personalizing outreach by hand didn't scale. nRev built a three-layer engine that de-anonymizes visitors, enriches and ranks each prospect with AI research on tech stack and sentiment, then runs compliant LinkedIn sequences — turning passive traffic into researched, prioritized opportunities.
Production-Grade Infrastructure
The integration layer is ours, not yours.
SOC2
Zero
100%
Managed Integrations
Built for GTM Speed
Minimal Token Cost
Security & Compliance
Full Observability
Retry & Recovery
Pricing & ROI
Nudge
For testing a GTM workflow or two. Lightweight runs, low volume.
Growth
A handful of outcome-driven workflows on a regular cadence.
Scale
5 hrs/mth GTM support
Multiple workflows running in parallel.
Done for you
20 hrs/mth GTM support
Heavy workflow load across your full GTM motion.
FAQs
Still got Questions?
We got you
- Sales & Revenue Operations Managers
- Marketing Operations & Growth Ops
- Customer-Success Ops & Renewal Managers
- GTM Engineers who own the tech stack
They’re used per row or per group depending on the type of node used and the configuration settings.
The credits to be consumed are also visible on top of each node.
You can roughly estimate by multiplying the credits shown above each node with the number of rows being processed.
Running them in Standard Mode will still consume credits based on your usage.
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