Rox Raises $100M Series B at $1.3B Valuation to Advance AI Research

Reuters reported on November 11, 2026, that Rox had raised $100 million in a Series B round valuing the San Francisco-based startup at $1.3 billion. General Catalyst and March Capital co-led the financing as Rox prepares to expand its AI research and enterprise reach.

Existing investors Sequoia Capital and Factory participated alongside new investors Databricks Ventures and Prosperity7 Ventures. Rox said it will put the capital toward AI research and custom-model development while widening its enterprise customer base in healthcare, the industrial sector, financial services, energy and technology.

The company said annual recurring revenue grew more than tenfold during its first year in the market. Its customers include Puma, Groq and Ramp.

A Platform Beyond Lead Generation

Rox is pitching more than outbound lead generation. Its platform documentation describes one connected system covering prospecting, qualification, engagement, closing, renewal and account expansion. That scope allows one deployment to address both new-business development and revenue from existing accounts.

Rox says the platform can draw on CRM records, email, calendars, Slack, call transcripts, documents and internet sources. Its knowledge graph resolves entities and conflicting values across sources and infers relationships, while a governance layer applies one access model across systems. The aim is to give agents a shared account context instead of leaving them to work from isolated sales records.

Before a contact enters an outreach workflow, the Outbound Agent documentation says the system validates the person’s current role and email address, supplementing its records with data from more than 17 enrichment providers. Search results carry a matched or rejected label with reasons for exclusion; approved matches can be transferred to an outreach sequence, contact list or lead list. The agent can also handle responses and book meetings.

A team can keep every send under manual review, pause autopilot and inspect booked meetings. Changes to a running agent remain drafts until the user saves or discards them. Rox also states that its automation operates within user-defined parameters and requires initial configuration and continuing oversight.

Customer Deployments and Reported Results

Rox’s customer-story index says MongoDB took 45 days to move from a prototype into production, Ramp’s conversion rate rose by 10% to 15%, Couchbase reached adoption exceeding 90% among more than 250 representatives, and Puma Energy uses Rox to monitor customers in key markets. The examples cover deployment speed, sales conversion, workforce adoption and account monitoring rather than a single measure of value.

Rox cautions that these performance figures reflect individual configurations and may not represent other deployments. Actual results can vary with data quality, CRM configuration, outreach volume, market conditions and target audience, so the examples do not establish a standard outcome for new customers.

Research Plans and Returning Investors

The planned research spending fits an agenda already described on Rox’s research page. Its work includes task-specific models and agent architectures, systems for evaluating agent behavior, and production infrastructure intended to make agents reliable in real-world revenue environments. Custom-model development therefore sits within a broader engineering program rather than standing alone as a model-building exercise.

Rox’s company page identifies Ishan Mukherjee as cofounder and CEO, Shriram Sridharan as cofounder and CTO, Diogo Ribeiro as cofounder and CGO, and Christopher Ré as cofounder for research.

General Catalyst is a returning lead investor. It announced on November 19, 2024 that it had led Rox’s Series A and said more than 35 enterprise sales teams had adopted the product during its public beta, including MongoDB, Confluent and Ramp.

The Series B gives Rox capital to pursue model development and a larger enterprise footprint simultaneously. The central test is whether its early revenue growth and individually reported customer outcomes can be reproduced across the wider range of industries it is now targeting.