🗺️Revenue Operating System

Shriram Sridharan, Co-founder/CTO

Enterprise software has always evolved through paradigm shifts. In Cloud 1.0, the world moved from on-premise software to the cloud. This shift redefined assumptions: systems were no longer built for scarcity and rigidity of on-prem but for the abundance and elasticity of the cloud. Rigid infrastructure gave way to flexible services, enabling CRMs and business applications to scale like never before.

In Cloud 2.0, with the rise of data warehouses like Snowflake, Redshift, and BigQuery, enterprises began pulling data out of CRMs and into centralized analytical estates. This unbundled the system of record from the system of engagement — CRMs became just one of many sources, while dashboards and BI sat on top of the warehouse. But this also led to a proliferation of point tools: sellers now relied on a sprawl of apps for research, contacts, meetings, and enrichment, while CRMs devolved into after-the-fact logging systems.

Now we are entering the AI-native era, which brings another paradigm shift. Models are the new compute, context windows the new memory, and reasoning replaces static workflows. And just as the cloud unbundled, AI is driving a rebundling. The system of record and system of engagement are converging again into a single layer — what we call the Revenue Operating System. A unified system of context powers agent swarms that not only store information but also act on it, collapsing fragmented workflows into one seamless experience.

The Revenue Operating System

At its foundation is the System of Context: a data fabric that unifies private enterprise data with public data — from CRMs, support systems, product usage, email, and Slack, all the way to news, filings, and job postings. Unlike legacy CRMs, where revenue data is trapped in rigid forms, the System of Context is warehouse-native, event-driven, and designed to integrate seamlessly with the enterprise data stack.

On top of this foundation run our Agent Swarms — fleets of intelligent, always-on agents that continuously work on behalf of sellers. They automate low-value tasks like research, scheduling, and data entry, while surfacing high-value insights and next steps exactly when they’re needed. This allows sellers to focus on what matters most: building relationships and closing revenue. For revenue teams, the outcomes compound: higher revenue per rep, faster deal cycles, and lower churn.

We designed Rox to meet sellers where they are — across iOS, Mac, Slack, API, and Webapp — delivering a beautiful experience that integrates into the rhythm of work, instead of forcing reps into yet another login screen. Rox also has the ability to build custom apps with prompt to code that

Built for Security, Scalability, and Battle-tested

From day one, Rox was designed with security by design: governance at the core, in-VPC deployments for enterprises, and deliberate model choices for compliance and safety.

Rox is multi-region deployed, consuming billions of tokens and orchestrating millions of agents in live customer environments. This is not a prototype. It is a battle-tested, enterprise-ready system already powering some of the world’s best revenue teams.

Looking Ahead

The Revenue Operating System unites context and action in one AI-native layer: a system that understands and remembers, and a swarm that acts and accelerates. This is not a thin layer on top of legacy CRMs — it is a reimagining of enterprise business systems from the ground up, built for the AI era.

For sellers, that means freedom from repetitive, low-value work and more time spent doing what humans do best — building trust, nurturing relationships, and closing deals. For revenue leaders, it means higher revenue productivity per rep, faster pipeline velocity, and reduced churn. And for CXOs, it means finally aligning revenue systems with modern enterprise data strategy: governed, secure, warehouse-native, and built to scale.

At Rox, our mission is ambitious: to earn the right to run the world’s revenue data and supercharge every seller with intelligent agents. We’re just getting started, but the impact is already real.

In public beta, Rox already has been:

• Multi-region deployed

• Managing 450B tokens under consumption

• Orchestrating 25M agents in production

• Governing 150TB of data

Starting Sep 16, 2025, Rox is Generally Available and open for business.

If this future excites you, I’d love to hear from you: [email protected]

This journey wouldn’t be possible without our incredible team—a powerhouse of talent combining years of experience from AWS, StreamSets, Confluent, and Ramp, alongside accomplished researchers, passionate graduates from top institutions, and IOI/IMO gold medalists. I’m beyond proud of what we’ve built together and thrilled for the exciting chapters that lie ahead!