Rox’s $1.3B Bet Puts AI Agents on a Bigger Enterprise Mission

Rox just turned enterprise AI into a much bigger story. The San Francisco-based startup raised $100 million in a Series B round at a $1.3 billion valuation, giving it fresh capital to push AI research, build custom models and reach more companies.

General Catalyst and March Capital co-led the financing, with existing investors Sequoia Capital and Factory joining new investors Databricks Ventures and Prosperity7 Ventures. Rox said the money will support expansion across healthcare, the industrial sector, financial services, energy and technology, while its first year in the market produced annual recurring revenue growth of more than tenfold.

Rox Wants AI Agents Across the Revenue Engine

Rox is pitching more than outbound lead generation. Its platform documentation describes one connected system that covers prospecting, qualification, engagement, closing, renewal and account expansion, creating a broader role for AI agents inside enterprise sales teams.

The system can draw on CRM records, email, calendars, Slack, call transcripts, documents and internet sources. A knowledge graph resolves entities and conflicting values across those sources, then infers relationships between them. A governance layer applies one access model across systems, giving agents a shared account context instead of forcing them to work from isolated sales records.

That shared context matters before an outreach sequence even begins. The Outbound Agent documentation says the system validates a contact’s current role and email address, then supplements its records with data from more than 17 enrichment providers.

• Search results receive a matched or rejected label with reasons for exclusion.
• Approved matches can move into an outreach sequence, contact list or lead list.
• The agent can handle responses and book meetings.
• Teams can keep every send under manual review, pause autopilot and inspect booked meetings.
• Changes to a running agent remain drafts until a user saves or discards them.

Rox also states that its automation operates within user-defined parameters and requires initial configuration and continuing oversight. Customers include Puma, Groq and Ramp, while Rox’s customer-story index highlights deployments involving MongoDB, Couchbase and Puma Energy.

Those stories point to ambitious results: MongoDB took 45 days to move from a prototype into production, Ramp’s conversion rate rose by 10% to 15%, and Couchbase reached adoption exceeding 90% among more than 250 representatives. Puma Energy uses Rox to monitor customers in key markets.

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

Research Funding Is Spreading Across the AI Stack

Rox’s planned research spending fits an AI market that is funding every layer of the technology stack, from enterprise workflows to chips and cybersecurity. Sparxity closed a Series A led by ICM HPQC Fund, bringing cumulative funding secured by its team to $90M.

Lockheed Martin Ventures, GlobalFoundries, GS Futures, Cloudberry Ventures, TGFS and the EIC Fund joined the round. Angel investments also came from TIME100 AI leaders Richard Socher of Recursive Superintelligence and Nancy Xu of Salesforce-acquired Moonhub, while Atlantic and Silicon Catalyst continued their support.

Sparxity will use the financing to develop specialized chips for fine-grained dynamic sparsity, targeting up to 44× faster AI inference in ultra-sparse models by computing only what matters. The sparse-native computing company says it quadrupled revenue between 2024 and 2025 and continued its momentum in 2026.

Its foundation includes three tapeouts, more than 70,000 chips produced and 12 racks deployed, with more than 30 customers worldwide, including some of the globe’s largest supercomputing facilities. Reported results include 10× faster sparse solvers, 18× lower energy use for event-based machine learning and 20× shorter runtimes for optimization problems on selected workloads.

“The next era of AI will be defined not just by how much computing power we can deliver, but by how intelligently and efficiently we use it,” said Sparxity co-founder and CEO Hector Gonzalez.

Xu Owen He, a former Google DeepMind researcher and Sparxity strategic advisor, said, “Co-designing AI models, distillation pipelines and hardware around sparsity unlock a new level of computing efficiency.” Matthew Gould of ICM HPQC Fund said Sparxity’s architecture addresses the shift toward sparse activation and the structural limits of conventional hardware.

AI Funding Reaches Security and Healthcare Too

The same funding wave is opening new lanes beyond sales and computing infrastructure. Bay emerged from stealth with $50 million raised, and CEO Yuval Zacharia describes the company as an agentic cybersecurity startup.

Reach Security also announced that CRN, a brand of The Channel Company, included it on the 2026 Stellar Startups list in the Security category for a second year in a row. Reach Security is described as “the AI that operates security defenses at machine speed.” Stellar Startups must be six years old or younger, with selections spanning AI, business applications, big data, cloud, data center, data platforms and analytics, edge computing, IoT, networking/unified communications, security and storage.

Healthcare is drawing major commitments as well. Zus Health announced a $33 million Series B led by Drive Capital, with participation from Sanofi Ventures, HealthX Ventures and Alumni Ventures. Existing investors Andreessen Horowitz (a16z), F-Prime, Maverick Ventures and JAZZ Venture Partners also participated, bringing Zus’s total capital raised to more than $100 million.

Zus will invest the financing in its intelligent patient record platform, national healthcare data network and AI-powered clinical workflows. Together, these deals show where the next AI contest is moving: agents that understand enterprise context, chips that waste less energy, defenses that operate at machine speed and healthcare systems that connect fragmented information.

Rox’s $1.3 billion valuation places it at the center of that movement, but the real test begins now. Its capital must turn research, governed automation and shared data context into durable enterprise deployments across the markets it has chosen to pursue.

Stay connected via Google News

Follow us for the latest AI News