Built by people who lived through forecast theater.
QuotaVyn was founded in 2022 in New York by a sales leader and an ML engineer who spent years watching good sales teams miss quarters because their forecasting tools were built on stage data, not behavioral evidence. We decided to fix that.
Why we built QuotaVyn
Jason Goldberg spent eight years managing B2B SaaS sales teams in New York. Every Q4 looked the same: Friday pipeline calls where reps moved deals to Commit, a forecast number that felt internally negotiated rather than data-derived, and a board slide that required a six-paragraph explanation of why the number changed since last month.
In late 2021, Jason started building a spreadsheet model to settle an argument with himself: if he compared his team's open deal activity against the behavioral patterns of every deal they'd closed in the past 18 months, could he predict which current deals were actually going to close? The model was right more often than his gut and more often than the rep-stated stages.
In 2022, Jason brought in Marcus Chen — an ML engineer who'd worked on applied behavioral modeling — and they built the cohort scoring engine that became QuotaVyn. The premise: your own closed-won deals contain the answer. You already have the training data. You don't need an industry benchmark — you need a model built on your wins.
QuotaVyn is not a call recording tool, not a rep surveillance system, and not another CRM plugin that tracks stage duration. It is a behavioral pattern matcher: every open deal compared against the cohort of deals that actually closed at your company.
The people behind the scoring model
Eight years leading B2B SaaS sales teams before founding QuotaVyn in 2022. Built the first scoring prototype in a spreadsheet — comparing open deal activity against 18 months of closed-won history — before writing a line of product code.
ML engineering background in applied behavioral modeling. Designed the cohort-scoring algorithm and the multi-source activity reconciliation engine that deduplicates signals across Salesforce, Gong, and Gmail. Builds models for prediction accuracy, not demo appeal.
Former product lead at a revenue intelligence platform. Ran the RevOps tools she later shipped. At QuotaVyn, owns the VP Sales and RevOps use-case roadmap — everything from coaching signal displays to board-ready PDF export workflow.
How we build
We build for people who take forecasting seriously.
If you're ready to replace gut feel with behavioral evidence, we'd like to show you the model.