Revenue agents to secure and grow the world’s revenue

San Francisco, CA
We used Jev to retrieve sales data 20x faster, 10x cheaper, and 12% more accurate than GPT-5 Mini. Every time a Rox agent answers a query, it pulls from relevant transcripts, emails, CRM notes, news, and documents. We benchmarked two ways of retrieving them: LLM-based reranking Jev classification The results speak for themselves. Jev was faster, cheaper, and more accurate. Revenue agents require thousands of points of context to understand accounts, chart relationships, and execute on sales. This research will help us serve that context with frontier-level performance for our customers.
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2/ The results: Jev-Score approached the benchmark at 96% accuracy (12% higher than GPT-5 Mini) at much faster average speed per-query (GPT-5 Mini: 6.2s vs Jev-Score: 0.3s). This was served at significantly lower cost compared to production:
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2/ The results: Jev-Score approached the benchmark at 96% accuracy (12% higher than GPT-5 Mini) at much faster average speed per-query (GPT-5 Mini: 6.2s vs Jev-Score: 0.3s). This was served at significantly lower cost compared to production:
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2,000 years of sales outbound in 30 seconds. Today, Rox agents create opportunities at 87% cheaper than payroll….we’ve come a long way. BCE: 🕊️ ✉️ 1840: Penny Mail 1958: Rolodex 1978: Email 1993: On-Prem CRM 1999: Cloud CRM 2026: Revenue Agent Made with Opus 5.5 in Javascript.
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The #1 myth about AI for revenue: it’s only a Silicon Valley thing. Mining, manufacturing, energy, life sciences. The companies that built the economy are changing how they sell. Our founders interviewed each other about it:
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SF rent is up 26% YoY. Listings down 30%. Bidding wars & worse than NYC. @rkertzner_ is using Rox agents to hunt for a place with the same playbook F1000 sales teams run on If it works on a VP of Sales it might work on a Marina landlord...
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We see us 👀 & lots of good company!
I made a list of great startups to join. It's called the Breakout List. The list has 92 companies. These are the 20 with 25 or fewer employees: - Hone (@moritz_stephan, @CarloWillem, @oqbrady) - Normal (@ansonyuu, @hudzah) - Standard Intelligence (@G413N, @devanshpandey) - Tacit Labs (@ninklefitz, @AmDroste) - American Terawatt (@atroyn, @rslparker, @aranibatta) - Conduit (@clemvonstengel, @riopopper) - Convergent (Omkar Savant, Vivek Katara, @debnilsur) - Core Automation (@MillionInt, @_arohan_) - Engram (@dan_biderman, @EyubogluSabri, @realJessyLin) - Instinct (@noahrshinn) - Keenable (@styskin, Matthias Petri) - Lumaril (Mark Elliot, Ben Duffield) - Neion Bio (@Dimkell, Sam Levin) - Pangram Labs (@max_spero_, @bradley_emi) - Quadrillion (@echinaceous) - Re (@karnsaroya, @AnandDhillon, @thecliffwhite, @benaneesh) - Ricursive (@annadgoldie, @Azaliamirh) - Sail Research (@neilmovva, @blintzbase) - Trajectory (@rronak_, @michaelelabd, @QuantumArjun) - Watney Robotics (Sean Cheong, Ryan Gannon) Picks from Elad Gil, Charlie Songhurst, Keith Rabois, Mike Vernal, Alana Goyal, Sonya Huang, Ramtin Naimi, Marc Bhargava, Cory Levy, Aashay Sanghvi, Konstantine Buhler, John Luttig, Varun Gupta, Ray Tonsing and Avichal Garg. Disclosure: I'm a small investor in American Terawatt, Convergent, Standard Intelligence and Trajectory (in this post), and in Factory, Physical Intelligence and SF Compute (elsewhere on the list). I didn't vote. The full list is on Breakout List.
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Skip Dreamforce. Here’s what the biggest festival in GTM is missing this year: The data left Salesforce for the warehouse years ago, and sellers need a new way to get answers out of it. Rox’s answer is revenue agents. @ishanmkh explains the thinking:
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We saved $7M-$11M+ by bringing agent search in house. The team @rox_ai published our research on ask-web in July. We’ve been running it in production since March. Since then, we’ve served over 71M queries and saved ~$7-11M saved against frontier search at the same volume + comparable accuracy. Proud of this one. Rox Research doesn’t just publish papers; the team turns hard questions into real infrastructure our agents run on. And we’ve passed savings onto customers for real revenue-growing work.
Introducing ask-web: Rox’s in-house web search agent. ask-web sits on the cost-per-accuracy pareto frontier of the hyper-parameter grid when compared to frontier labs and commercial search agent providers. The agent delivers 91.3% accuracy at 1.03 cents per query on real production prompts. It has been running in production for more than 6 months with continuous evals. Inference partners: @togethercompute, @baseten, @modal Commercial Search vendors benchmarked: @perplexity_ai, @ExaAILabs, @p0. Frontier Search vendors benchmarked: @OpenAI, @AnthropicAI Exa, OpenAI and Anthropic excel on accuracy. Parallel and Perplexity are cost-efficient. Here’s the breakdown:
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The first era of AI was defined by the blank chat box. You’d have a task, open a chat, and ask it to do something. That model doesn’t hold up when you have a 100+ agents running. So we rebuilt the Rox homepage around how that actually works.
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Rox is booking Rev.io meetings in accounts they'd never looked at. Their new platform opened a market 5x the size. Auto-prospecting via Rox is how they’re selling into it without adding headcount: one agent per account, ~200 personalized emails per rep per day. Their reps went from picking up a phone to waking up to prospects wanting to learn more.
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40%+ of @rox_ai revenue agent actions are now autonomous tasks. Five months ago, it was only 1% of 328M actions. The pull from the world's largest enterprises is more violent and secular than we ever imagined. This report validates what we are seeing in the market 👇
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We took our entire US eng team to Hawaii last week. It’s the team behind 132 straight weeks of shipping and research pushing what AI can do for revenue. Hardcore builders, it turns out, are also great company on a boat!
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Founders & CEOs want their teams building agents. The people building them (and the sellers relying on them) feel the pain when they break. This week, we released an upgrade that makes it possible to build “Agentflows” that are much more reliable and flexible than typical workflows.
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try now: rox.com
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