$800 billion is spent on sales forces every year. 70% of it is wasted on work machines can do.

After 15+ years scaling sales at Google, Meta, and high-growth startups, we kept watching the same problem compound: great salespeople spend less than a third of their time actually selling. The rest goes to admin, research, and manual work that adds no competitive advantage.

AI was supposed to solve this. Four gaps are keeping it from delivering:
𝗥𝘂𝗹𝗲𝘀 𝗘𝗻𝗴𝗶𝗻𝗲 — AI tools have no sales methodology. Generic prompts just automate broken processes faster.
𝗖𝗼𝗻𝘁𝗲𝘅𝘁 — AI doesn't know your ICP, your win patterns, or your positioning. Static prompts, not dynamic intelligence.
𝗢𝗿𝗰𝗵𝗲𝘀𝘁𝗿𝗮𝘁𝗶𝗼𝗻 — Agentforce and Breeze only work inside their walled gardens. The pain isn't lack of tools — it's that none of them connect.
𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 — Every cloud AI tool is a data leakage risk. Your competitive intelligence doesn't belong in someone else's infrastructure.

Selling at Scale closes all four. Our Sales OS encodes Google/Meta-level methodology into AI agents that know your business, orchestrate your entire stack — HubSpot, Gong, Clay, Apollo, Slack — and run on a Mac Mini inside your office. No data leaves your firewall. You can unplug it.

𝗥𝗼𝗯𝗼𝘁𝘀 replace repetitive roles: prospecting, qualification, meeting booking — 24/7, at a fraction of SDR cost, with zero attrition.

𝗕𝗼𝗼𝘀𝘁𝗲𝗿𝘀 make your AEs and managers 2-3x more productive: meeting briefs in minutes, automatic CRM updates, deal coaching based on your own win patterns.

We've built this system multiple times at scale. Now we build it for you — in 90 days instead of three years.

Selling at Scale

Marco Grossi

This department is responsible for setting the strategic direction and overall management of the organization.

Selling at Scale

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Selling at Scale

Org chart

Teams

Executive Leadership

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