A forward-deployed AI agency for sales operations. Not a systems integrator.
Roughly $4B raised from 19 investors led by TPG. Engineers embedded inside enterprises to wire AI into how they operate.
Built with Blackstone, Hellman & Friedman, and Goldman Sachs. Aimed at mid-size businesses, not the Fortune 100.
Both ventures are modeled on Palantir's forward-deployed engineer playbook: ship people who build inside the customer.
Models are commoditizing. The constraint is not intelligence, it is wiring AI into how businesses actually run: their process, their data, their people.
The labs are not attacking each other with these ventures. They are attacking Accenture and Deloitte. The services layer is the land grab.
Leadership wants AI in the sales motion this year. The VP got the mandate. Nobody handed them the plan.
"AI-powered" is on every deck. Buyers cannot tell a real product from a thin wrapper, and the demo is built to hide the difference.
Reps rebuild proposals by hand, tribal knowledge lives in one person's head, and the tools already paid for don't talk to each other.
Partner margins and referral fees fund the model. Scope is "everything," and the recommendation is always more software.
The new services ventures exist to push their parent lab's stack. The advice comes with the model pre-selected.
The buyer needs someone whose only revenue source is the buyer. That seat is empty.
The same motion the labs funded at $5.5B, run at boutique scale in the one function where the ROI math is cleanest.
We audit the stack: keep, consolidate, replace, build.
We join vendor calls on the client's side of the table.
We build what no vendor sells, on the client's accounts.
We train the reps. A system nobody uses is a logo on a slide.
Rep-hours are priced, cycle times are tracked, stack spend is contracted. Every claim can be checked against a number the client already has.
Every engagement hits the same shapes: proposals, CRM hygiene, tribal knowledge, tool overlap. Each build makes the next one faster.
A buyer trusts a specialist with a boundary more than a generalist with a rate card.
30 minutes. The client walks their stack and the initiative: what they run on, where deals slow down, what leadership expects by when.
Keep, consolidate, replace, build. A Leak Ledger with formulas shown, a lock-in register, three needle-movers, a do-NOT list, and a 90-day sequence.
We join vendor calls, pressure-test demos, and build the pieces no vendor sells. The client keeps everything.
Worked sample, fictional company, 18 reps: $584,900/yr estimated leak against $196k/yr stack spend. The plan claims only $247k of it, deliberately.
The engagement is priced against the leak it targets, so the value conversation is the client's own math, not our pitch.
Every build lives in the client's accounts: code, prompts, pipelines. No lock-in, including to us.
A day-60 and day-90 re-measure is built into every plan. Each engagement produces its own before-and-after evidence.
The founder runs an AI-agent production system: research, build, QA, and deploy through parallel agents. It is the same machinery the labs are selling at enterprise scale, run by one person.
proposals.salesoslabs.com, collateral.salesoslabs.com, and prompts.salesoslabs.com are live, free, and used as proof on sales calls.
AI-native services carry the margin profile of software with the trust profile of an advisor. That structure is the point, not a side effect.
Each one adds playbooks, eval harnesses, and a case study. The firm gets more valuable per engagement, not just more revenue.
Capital goes to pipeline generation, parallel delivery capacity on agent infrastructure, and productizing repeated builds into recurring SKUs.
OpenAI and Anthropic ventures are in talks to acquire AI services firms. Boutiques with proven, documented playbooks are the acquisition targets.
We are pre-revenue and will not hand you a hockey stick. Pick your own assumptions.
Live: salesoslabs.com, three free tools, the diagnosis system, and this motion.
And our homepage says so. The first two clients get preferential pricing in exchange for a case study.
Pipeline motion live. Discovery-call flow, the /roi pre-call tool, and the diagnosis system are operational.
Founder full-time from August 2026.
We would rather be early and honest than pad a logo wall. The candor is the brand.
Career seller. Sales at startups and publicly traded companies, most recently Salesforce. Runs deal cycles for a living and has sat through hundreds of vendor demos from the seller's side. Full-time on SalesOS Labs from August 2026.
Operator. Co-founded Illumeably, a digital media company with 5mm+ followers on socials.
Builder. Personally built the AI systems running his ventures: the outbound machine, Slack and Telegram assistants, content pipelines, and analytics.