When everyone’s got the same LLMs, your model is your one advantage.
On Day 1, Olli stands up a private ML trained on your closed-won data plus 150K+ enterprise cycles. Building a living memory backed by hard math (not just LLM opinion), across every account you've ever worked. What he learns about you, stays with you.
When everyone else uses the same AI, you sound like everyone else.
Generic prompts. Generic outputs. Generic performance.Your true differentiation lives in capturing your hidden GTM data: the gut-feel, instinct, and creativity that only your best reps have, but isn’t documented anywhere.
A model trained on how you actually win.
Olli reads billions of GTM data points hiding across your stack, then pulls out the patterns from your closed-won deals with a private ML layer. Stacking them up against 150K+ similar enterprise cycles to fill in the gaps.Creating a “judgment” layer that can reason through how your team specifically wins. All tuned to your buyer profiles.
An unlimited context window.
A generic LLM is a photo: it sees a single point in time, with a small snapshot of context.
Olli works more like high definition video: he sees every deal you've ever run, and how they evolved overtime. Tracking every move that worked, every play that didn't.
A system that makes your next deal, easier to win than the last.
Every closed deal feeds the model. Every dismissed play teaches Olli what your reps wouldn't run. Every won deal sharpens the next recommendation.Your competitor can't buy this. They can only run it themselves, on their own data, from scratch. By the time they catch up, Olli has closed hundreds more of your deals.
What turns a generic LLM into your GTM advantage.
A private intelligence layer trained on your deals, your patterns, and your history, so every recommendation reflects how your team actually closes.
Output guidance for downstream LLMs (Claude, GPT, Gemini) so generic models behave like Olli
Self-training on every closed and dismissed deal
Cross-account pattern matching from 150K+ enterprise cycles
Memory across every deal Olli has touched in your account
Pattern recognition across calls, emails, and CRM activity
Time-series analysis on stage velocity, response cadence, content engagement
Got questions? We got you.
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Private VPC per enterprise customer on standard cloud infrastructure. SOC 2 Type II. Detailed security and architecture documentation available under NDA.
No. Each customer's model is trained on their data and their data only. Cross-account pattern matching uses anonymized aggregate signals from the 150K+ enterprise cycles dataset, never customer-identifiable data.
Generic LLMs are pattern-matching on language. Olli's private ML is pattern-matching on your sales motion: deal trajectories, multithreading patterns, stage velocity, call sentiment over time. Olli often uses a generic LLM downstream to write the email. The judgment comes from Olli's model. The wording comes from the LLM.
A machine learning system trained specifically on your data, running specifically for your team, with outputs only your team uses. Distinct from a generic LLM (like ChatGPT) which is trained on the public internet and serves every customer the same way.
