Rox
Also known as: Rox AI, Rox.com
AI native revenue operating system that deploys a swarm of agents, one per account, to research, monitor, engage, and manage customer relationships across the sales stack.
Rox is an AI native revenue operating system, sometimes described as an agentic CRM, that aims to consolidate the fragmented sales stack and challenge incumbents like Salesforce and HubSpot. Rather than another point tool, it deploys a swarm of AI agents, assigning a dedicated agent to each customer account. Those agents work constantly in the background to monitor customer activity, research prospects, identify risks and opportunities, and recommend the next best action. Founded in 2024 by Ishan Mukherjee, the former chief growth officer of New Relic, Rox reached a one point two billion dollar valuation in a 2025 round led by General Catalyst, on roughly eight million dollars of ARR, after an earlier fifty million dollar raise seeded by Sequoia. It reached general availability in September 2025 and reports more than five thousand organizations.
Each account agent unifies internal and external data into a deep understanding of its account, then acts on it. The platform launches automated, personalized outreach across email and LinkedIn, manages opportunities and reporting, monitors deals for risk, provides full meeting assistance and call analysis, and auto completes RFP documents from customer and product data. A copilot lets reps interact with the system through chat or voice, and agents surface recommended next steps rather than acting entirely unattended. Rox positions this as freeing account executives and managers from manual research and data entry so they can focus on closing.
Rox's defining architectural choice is that it runs its agents directly inside a customer's existing data warehouse, so company data stays within the customer's own systems rather than being copied out. The company frames this as making legacy SaaS integrations seamless while keeping data secure, and it integrates with Salesforce, Zendesk, and ERPs. The approach is aimed squarely at large, regulated buyers: Rox reports customers across financial services, energy, healthcare, manufacturing, semiconductors, and sovereign AI stacks, and cites results like a ninety percent reduction in prep time at Ramp and fifty percent faster ramp for new reps at New Relic. In late 2025 it partnered with Microsoft to surface its revenue agents inside Microsoft Copilot.
Rox runs a hybrid go to market that mixes self serve and sales led motions. Its site offers a start now, skip demos entry and a free Starter plan for individuals with limited features, alongside a pay only for actions model and full service, white glove enterprise deployment reached through a sales conversation. Detailed pricing is not published. Competitively, Rox sits between revenue intelligence tools like Gong and Clari, AI SDR platforms like 11x and Artisan, and a new wave of AI native CRMs, differentiating on autonomous action rather than analysis alone. The open question, given its valuation relative to reported ARR, is whether enterprises will entrust core sales processes to autonomous agents at scale.
Vendor details
Canonical URL
https://rox.com
Category
GTM / revenue agent
Subcategory
Agentic revenue operating system (agent swarm CRM)
Funding status
Independent, very well funded. Founded in 2024 by Ishan Mukherjee (former New Relic chief growth officer and Pixie co founder), Rox reached a $1.2 billion valuation in a 2025 round led by General Catalyst, on roughly $8 million ARR. Earlier it raised $50 million (seed led by Sequoia, Series A led by General Catalyst, with GV); PitchBook lists $199 million raised across 17 investors.
Company status
independent
Use cases & customers
Primary use cases
Target customers
Deployment options
Integrations
Integrates with Salesforce, Zendesk, and ERPs and connects to the existing sales stack, and runs its agents directly inside the customer's data warehouse to make legacy SaaS integrations seamless while keeping data in the customer's systems. Its revenue agents are also surfaced inside Microsoft Copilot.
In practice
Your reps burn hours on account research and data entry before every deal. Rox assigns a dedicated agent to each account that unifies the data, monitors for risk, drafts outreach, and updates the CRM automatically.
Your data cannot leave your environment for compliance reasons. Rox runs its agents directly inside your existing data warehouse, so customer data stays within your own systems while the agents still act across your stack.
Your team lives in Microsoft Copilot and a separate CRM. Rox surfaces its revenue agents inside Copilot and connects to Salesforce and your ERPs, so reps get next step recommendations where they already work.
Sources & related URLs
Related / legacy domains
Capability coverage
6.0 / 14 capabilities · 43%
| Integrations & Tool CallingIntegrates deeply with Salesforce, Zendesk, ERPs, and the broader sales stack, and runs agents directly within the customer's data warehouse to make legacy SaaS integrations seamless while acting across those systems (updating the CRM, launching campaigns), comprehensive integration breadth and depth. | Full |
|---|---|
| Workflow OrchestrationOrchestrates a swarm of AI agents, a dedicated agent per account, that autonomously monitor, research, engage, and manage relationships and execute playbooks across the entire customer lifecycle, a genuine multi agent orchestration engine. | Full |
| Knowledge Grounding & RAGUnifies all internal and external customer data into a deep, queryable understanding that grounds every agent action, with the warehouse native architecture keeping that grounding close to the source data, a comprehensive grounding capability central to the product. | Full |
| Human Oversight & GuardrailsOffers an AI copilot (chat and voice) and next step recommendations that keep account managers and AEs in control, reviewing agent suggestions and actions, a human oversight surface, though there is no runtime guardrail enforcement engine. | Partial |
| Security, Identity & GovernanceEmphasizes enterprise grade security and compliance, keeps customer data within existing systems so it does not leave the warehouse, and serves highly regulated sectors including financial services, healthcare, and sovereign AI stacks, a strong governance posture, though specific certifications and identity controls are not itemized. | Partial |
| Observability & AuditabilityContinuously monitors accounts and deals, surfaces risks and opportunities, tracks customer behavior, and provides opportunity management and reporting, strong revenue observability, though centered on account and deal monitoring rather than full agent execution tracing. | Partial |
| Memory & State PersistenceEach account agent continuously monitors and builds understanding of its account, but this persistent understanding is the unified customer data grounding rather than a distinct, documented runtime agent memory layer. | Unable to verify |
| Deployment & Data ResidencyRuns its agents directly inside the customer's existing data warehouse so customer data never leaves their own systems, a strong data residency and deployment locality property, though it is delivered as a managed platform rather than a fully self hosted install. | Partial |
| Prebuilt Agents, Templates & PacksShips prebuilt agents (per account revenue agents, RFP autofill, meeting assistant, copilot) and executes predefined sales playbooks, reusable prebuilt building blocks, though configured to each customer rather than an open marketplace. | Partial |
| Triggers & Channel CoverageRuns outbound across email and LinkedIn or social and continuously monitors accounts for risks, opportunities, and behavioral trends that trigger agent actions, solid triggering and coverage, though outbound spans two channels rather than a broad multichannel set. | Partial |
| Model Flexibility & RoutingBuilt as an AI operating system on frontier models, but no user facing model choice, bring your own key, or routing gateway is documented. | Unable to verify |
| APIs, SDKs & MCP ExtensibilityIntegrates broadly and surfaces its revenue agents inside Microsoft Copilot, but no public developer API, SDK, or MCP server for building on the platform is clearly documented. | Unable to verify |
| Testing, Debugging & OptimizationProvides reporting and analysis of accounts and calls, but no user facing agent testing, simulation, or evaluation and optimization framework is documented. | Unable to verify |
| Browser & Computer UseAgents research accounts and generate LinkedIn posts, but no agent driven browser automation, LinkedIn automation, or general computer use is documented. | Unable to verify |
Pricing
Free Starter ($0, individuals, limited) · hybrid PLG + sales-led · pay-only-for-actions + full-service enterprise deployment · detailed pricing not public
Hybrid: free Starter for individuals; pay-only-for-actions usage-based paid model; full-service enterprise deployment quoted via sales
Included quota
Hybrid PLG plus sales-led. Free Starter ($0): individuals, limited features, light pipeline generation, self-serve start now with no demo required. Paid: pay-only-for-actions usage model; enterprise is a full-service, white-glove deployment (onboarding, managed deployment, ongoing training) reached via Contact Sales. Specific paid prices are not published. Runs agents inside the customer's data warehouse; integrates with Salesforce, Zendesk, ERPs; agents surfaced in Microsoft Copilot. Enterprise-grade security and compliance.
What is public
That there is a free Starter ($0), a self-serve start-now entry, a pay-only-for-actions paid model, and a full-service enterprise deployment. No specific paid prices are published.
Billing mechanics
Free Starter for individuals; usage-based pay-only-for-actions paid tier; custom, full-service enterprise deployment quoted via sales.
Cost watchouts
Usage-based per-action pricing can scale unpredictably across many accounts; enterprise full-service deployment adds services cost; warehouse-native model assumes an existing data warehouse.
Variable cost rationale
The paid model is pay-only-for-actions (usage-based), so cost scales with agent activity across accounts and can be hard to predict, and enterprise deployments are custom, full-service, and quoted via sales. With no published prices and a warehouse-native, high-touch enterprise motion, total cost is opaque before a sales conversation.
Additional watchouts
Paid pricing is opaque (pay-only-for-actions, custom enterprise). Entrusting core sales processes to autonomous agents is a cultural and technical bet. Warehouse-native deployment requires a suitable data warehouse. Early-stage packaging.
Overage / add-ons
Paid model is pay-only-for-actions (usage-based); cost scales with agent actions/volume. Enterprise deployments are custom-quoted.
Sales call required
No — self-serve available
Free / trial
Free Starter plan ($0) for individuals with limited features (light pipeline generation). Self-serve start now, skip demos entry available.
Lowest paid plan
Not public. A free Starter plan ($0) exists for individuals with limited features; paid usage follows a pay-only-for-actions model, and enterprise is a full-service, white-glove deployment quoted through sales. Specific paid prices are not published.
Commercial notes
Positioned as an enterprise revenue OS replacing a fragmented stack; high-touch, white-glove enterprise motion with a PLG on-ramp. Valuation ($1.2B) is high relative to reported ARR (~$8M), so pricing and packaging are still maturing.
Key ambiguities
No public paid prices; the pay-only-for-actions model and enterprise deployment cost are known only via sales. Free Starter is limited.
Cancellation / refund
Free Starter is no-cost. Paid and enterprise terms not published.
Support SLA / resale
Enterprise deployments include comprehensive onboarding, managed deployment, and ongoing training (white-glove). Enterprise-grade performance, security, and compliance.
Missing data
No published paid prices; per-action costs, tier structure beyond Starter, and enterprise deployment pricing are all non-public.
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