nRev AI
Also known as: nRev
GTM operating system where revenue teams describe workflows in natural language and deterministic agents run signal detection, enrichment, CRM, LinkedIn, and outbound.
nRev AI is a go to market operating system that lets revenue teams build and run the entire GTM motion by describing what they want in natural language.
Its AI builder turns a prompt into a drag and drop editable workflow, and its agents are deterministic, using AI for decision making but following structured step by step logic so outcomes are predictable and auditable. nRev covers signal detection, enrichment, CRM automation, LinkedIn growth, website visitor tracking, and outbound in one platform, replacing a stack of point tools, and it maintains more than 100 managed integrations, including Salesforce, HubSpot, LinkedIn, Slack, Gmail, Calendly and Apollo, each on OAuth 2.0.
Prebuilt GTM playbooks such as a competitor prospect tracker, a LinkedIn growth engine, signal based outbound, website visitor tracking, CRM clean up and a founder led sales accelerator launch in minutes. Developers can also work through the nRev CLI, API access and a Claude Code integration. nRev reports SOC 2 Type II certification with role based access controls, AES-256 at rest and TLS 1.3 in transit, provides a visual execution trace on every run and real time dashboards, and includes human in the loop controls. Plans run from Nudge at $149 a month with 15,000 credits to Done for You at $2,499 a month with 300,000 credits, with 2,500 free credits per new workspace and a free Test Mode.
Vendor details
Canonical URL
https://www.nrev.ai
Category
GTM / revenue agent
Funding status
Seed. Investors include Blume Ventures, Antler India, Sparrow Capital, Indian Silicon Valley, and Kunal Shah.
Company status
independent
Use cases & customers
Primary use cases
Target customers
Deployment options
Integrations
Native, self maintained integrations to Salesforce, HubSpot, Apollo, LinkedIn, and Instantly with OAuth 2.0 on every integration and no middleware, operating on whole lists at once.
In practice
Your team wants to reach accounts the moment they engage with a competitor. You launch the competitor prospect tracker playbook, and signal based triggers on competitor engagement, job changes and website visits start outbound through your own integrations.
Your CRM is full of stale records. The CRM clean up playbook runs against whole lists in Salesforce or HubSpot through native OAuth integrations, and you try it first in the free Test Mode on sample data without spending credits.
You will not let an automation touch real lists unreviewed. A play goes live only after approval, a Slack human in the loop can sample generated sequences, as PriceLabs does with every fourth one, and the visual trace shows what ran on every run.
Sources & related URLs
Related / legacy domains
Agentic Index coverage score
9.5 / 14 capabilities · 68%
| Integrations & Tool Calling | Full |
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Native, self maintained integrations to Salesforce, HubSpot, Apollo, LinkedIn and Instantly use OAuth 2.0 on every integration, with no middleware, and operate on whole lists at once. Sourcenrev.airead 2026-10-01 |
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| Workflow Orchestration | Full |
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The platform orchestrates the entire GTM motion end to end across signal detection, enrichment, CRM automation, LinkedIn growth and outbound, with deterministic step by step execution paths. Sourcenrev.airead 2026-10-01 |
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| Knowledge Grounding & RAG | Partial |
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The structured knowledge is nRev's own, and the customer's data arrives per run. nRev's GTM Ontology and Knowledge House map GTM tools and language, which nRev says are trained on more than ten thousand automations, its own accumulated asset and not a structure over the customer's material. That is what lets a natural-language prompt compile into a workflow. Customer data reaches the agents through native integrations to Salesforce, HubSpot, Apollo and LinkedIn, read at execution time against whole lists. There is no stated ingestion of the customer's own documents, collateral or playbooks into an indexed layer the agents query. Sourcenrev.ai/solutions/revops and nrev.airead 2026-09-01 |
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| Human Oversight & Guardrails | Full |
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nRev ships native human-in-the-loop approvals, and workflows go live only with approval, so a play a team composes in natural language does not start touching real lists until someone signs it off. A customer story shows the mechanism inside a running workflow, not only at deployment. PriceLabs routes every fourth generated sequence through a Slack human-in-the-loop while the rest proceed, a configured sampling gate on autonomous output. Determinism supports it, since a reviewer approves a defined path, not an open-ended agent. Sourcenrev.ai/solutions/revops and nrev.airead 2026-09-01 |
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| Security, Identity & Governance | Full |
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Role based access controls and OAuth 2.0 authentication on every integration sit beside SOC 2 Type II certification, AES-256 at rest and TLS 1.3 in transit. nRev's RevOps FAQ calls it SOC 2 compliant without a type, it names no audit firm or trust center, and it does not publish the SOC 2 report. Sourcenrev.airead 2026-10-01 |
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| Observability & Auditability | Full |
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Every run has a visual execution trace, alongside real-time dashboards. Determinism is the point. Agents follow structured step-by-step paths, not open-ended reasoning, which nRev says makes outcomes predictable and auditable, with no black boxes. Because every step is a defined node, the trace shows what ran, in what order, and where it stopped, and checkpointing records the point of failure. Sourcenrev.ai and nrev.ai/solutions/revopsread 2026-09-01 |
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| Memory & State Persistence | Not documented |
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The platform keeps run state, not memory. Checkpointing saves progress so a failed run resumes from the point of failure, not the start, with auto-retry on transient failures, which is durability within a single execution. There is no named memory layer with a scope or a lifetime, and no stated state that accumulates across runs so that what an agent learned about an account last week conditions this week's play. Sourcenrev.ai and nrev.ai/solutions/revopsread 2026-09-01 |
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| Deployment & Data Residency | Not documented |
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The platform runs in the cloud only, and there is no stated self hosting, on premise or data residency option. Sourcenrev.airead 2026-10-01 |
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| Prebuilt Agents / Templates / Packs | Full |
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Prebuilt GTM playbooks such as competitor prospect tracker, LinkedIn growth engine, signal based outbound, and CRM clean up launch in minutes, and published Plays are free to copy. Sourcenrev.airead 2026-10-01 |
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| Triggers & Channel Coverage | Full |
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Work fires on signal based triggers including LinkedIn activity, competitor engagement, job changes and website visitors, with scheduled refresh cadences across email, LinkedIn and CRM. Sourcenrev.airead 2026-10-01 |
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| Model Flexibility & Routing | Not documented |
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AI is used within deterministic paths where it adds value, but there is no stated user facing model choice or routing. Sourcenrev.airead 2026-10-01 |
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| APIs / SDKs / MCP Extensibility | Full |
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nRev has three developer surfaces for its own platform. The nRev CLI (nrev-lite) builds lists and runs enrichment from the terminal, API access serves custom integrations, and a Claude Code integration builds automations. Documentation is hosted at docs.nrev.ai. Sourcenrev.airead 2026-10-01 |
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| Testing, Debugging & Optimization | Full |
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The customer gets a sandbox to run before anything goes live. A free Test Mode executes a workflow without consuming credits, with first runs against sample data, so a RevOps team sees what an agent will actually do before it touches a real list. Alongside it the platform estimates credit usage before a run, so the cost of a change is visible in advance too. Combined with the visual execution trace on every run, a team can alter a play, try it, read the result and only then ship it. Sourcenrev.ai/pricing and nrev.airead 2026-09-01 |
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| Browser / Computer-use | Not documented |
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LinkedIn growth and outbound run through integrations, and there is no stated browser automation or computer use. Sourcenrev.airead 2026-10-01 |
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The Agentic Index coverage score grades every vendor Full, Partial or Not documented against the same 14 buyer facing capabilities, from public evidence only. Each capability links to how all vendors in the index score on it. How this evidence is graded
Pricing
Nudge at $149 a month with 15,000 credits, Growth $399 with 40,000, Scale $999 with 110,000 and Done for You $2,499 with 300,000. nRev Elite is custom. Every new workspace gets 2,500 free credits and a free Test Mode.
Monthly plans priced by included credits. Workflows consume credits per row or per group, depending on the node type and its configuration, and nRev Elite is priced custom.
Included quota
Nudge carries 15,000 credits, Growth 40,000, Scale 110,000 with 5 hours a month of GTM support, and Done for You 300,000 with 20 hours. Every new workspace gets 2,500 free credits, and Test Mode consumes no credits.
Cost watchouts
Credit consumption scales per row and per run, so large lists or frequent workflows increase cost. Underlying data and enrichment vendor usage may also apply.
Variable cost rationale
Credits are metered per row or per group as workflows run, so the bill grows with list size and with how often workflows run. High volume plays can consume credits quickly. Each plan's monthly credit allowance sets the base, and an estimate of credit usage shows before a run is confirmed. Test Mode runs use no credits. Additional credits can be bought once the allowance runs out, at a rate that is not published, so nothing public caps the bill.
Overage / add-ons
Additional credits can be purchased as needed. Usage scales with rows and workflow volume.
Sales call required
Mixed (some tiers require a call)
Free / trial
Free tier with 2,500 credits and a free Test Mode.
Lowest paid plan
Nudge at $149 a month with 15,000 credits
Key ambiguities
The dollar rate for credits beyond a plan's allowance is not published. nRev Elite is custom.
Support SLA / resale
Scale includes 5 hours a month of GTM support, and Done for You 20 hours.
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Alternatives to nRev AI
The closest documented capability profiles to nRev AI among GTM and revenue agents tracked by Agentic Index, ordered by similarity on the same 14 point evidence the rankings use. No vendor pays for placement.
- Botify10.0 / 14Adds documented Browser & Computer Use
- Outreach8.0 / 14A lighter documented profile than nRev AI
- Podium9.0 / 14Adds documented Memory & State Persistence
- SiftHub9.0 / 14Fuller documented coverage on Knowledge Grounding & RAG
- Totango8.0 / 14A lighter documented profile than nRev AI
- Amplemarket9.5 / 14Adds documented Memory & State Persistence
Similarity is computed from each vendor's Agentic Index coverage score evidence, axis by axis, not from the totals. How this evidence is graded