The roster
Revenue teams we've rebuilt from the forecast call outward.
Reference customers
From a circular-fashion scale-up closing the largest deal in company history, to a leading Data & AI boutique building a commercial engine to match its book, to a Paris computer-vision deeptech where we built the sales machine from scratch — two SDRs, one sales rep, three playbooks — these are the revenue teams that run on ValueOrbit. Customer-approved. Numbers verified by their finance teams.
These are averages across the active book of ValueOrbit customers as of Q1 2026, measured against each customer's own pre-engagement baseline. No cherry-picking, no hero metrics from one account. Ask us for the underlying methodology and we'll send it.
These three engagements represent the buyer archetypes ValueOrbit serves best: the seed-to-Series-A scale-up building a repeatable enterprise motion, the established services boutique whose commercial discipline needs to match the ambition of its book, and the deeptech turning long enterprise POC cycles into a forecastable pipeline.
A circular-fashion platform with strong PMF and global brand partnerships, readying for Series A. We installed SPEED-MC², trained the commercial team, and embedded methodology into the daily CRM workflow — and landed the largest deal in company history along the way.
A leading Data & AI partner for luxury and retail, building a commercial engine to match the ambition of its book. We deployed the Revenue Intelligence Platform on top of Salesforce and installed the pipeline, forecast and deal-review discipline to scale predictably.
A Paris-based computer-vision deeptech selling AI store-analytics into enterprise retail and luxury. We built the commercial engine from the ground up: hired and onboarded two SDRs and a sales rep, defined the lead-gen, deal-management (SPICED-X) and forecasting playbooks, coached the team into a weekly cadence — and the new team closed two large enterprise deals inside the first cycles.
A circular-fashion platform partnering with leading global brands, progressing from seed to Series A. No shared qualification language, limited pipeline visibility, no structured deal-review rhythm. The commercial engine needed to match the ambition of the mission.
Combined advisory + platform engagement. Full GTM diagnostic, tailored SPEED-MC² training for the commercial team, platform deployed on top of the existing CRM, and ongoing coaching with structured deal reviews embedded into the daily workflow.
Landmark enterprise contract closed — the largest in the company's history. Shared sales language across the team. Consistent methodology adoption on all active opportunities. Pipeline predictability in place ahead of the Series A fundraise.
A leading Data & AI services partner for luxury and retail, with strong brand-name engagements and a pipeline of high-value opportunities. What the book needed next: a repeatable commercial discipline to match the ambition — pipeline visibility, forecast accuracy, and a deal-review rhythm the leadership team could trust.
ValueOrbit deployed natively on top of the existing Salesforce instance — no migration, no seat rip-and-replace. SPEED-MC² embedded in the pipeline. Deal-review cadence installed. Forecast roll-up wired into the leadership rhythm.
A commercial engine that scales predictably with the book. Pipeline hygiene embedded in the Salesforce workflow. Forecast the CRO can take to the board. Deal reviews the team runs on a weekly cadence without a spreadsheet assist.
Every customer above started exactly where you are — a revenue team with ambition, a pipeline with gaps, and a leader tired of guessing. The difference is the day they picked up the phone.