CommerceV3 is not a stack of services bolted together. It’s a single operating layer — engineered by senior operators, orchestrated by AI, and tuned to the way commerce actually buys in 2026. One team. One invoice. One system that gets sharper every week you’re on it.
CV3 was started by people who shipped commerce for a living and got tired of stitching eleven vendors into one quarterly plan. The company is the system we wished existed when we were on the brand side.
Every senior pod here has run the work before — at retailers you know, on stacks you’ve heard of, through launches that actually shipped. No junior learners on your retainer. The person who walks you through the strategy is the person executing it in week nine.
The other half of the team is engineering. Real engineers — the kind who build pipelines, ship orchestration code, and own the platform that runs your retainer. That’s the part most agencies don’t have. It’s the part that makes CV3 an operating layer instead of a service desk.
Together: 11 senior partners across hubs, ~60 specialists behind them, one shared platform. You hire one team. You get the whole company.
CV3 combines deep commerce operations, enterprise SaaS execution, and AI-native systems thinking to build durable modern commerce infrastructure.
A global technology visionary, Ambarish sets the strategic direction, leveraging over two decades of experience in scaling global SaaS companies and deep expertise in strategy and engineering. As the founder of Basis Vectors and Knowlarity, he brings an unparalleled track record in driving disruptive, AI-led growth.
An IIM Ahmedabad and IIT Delhi graduate and an operator with 20 years of experience, Rahul leads CV3’s growth as a technology-driven commerce platform. Focused on revenue expansion, customer lifecycle optimization, and building the operating rigor that converts a performance eCommerce platform into a durable compounding SaaS asset.
A Chief Revenue Officer with 30+ years of experience building creative and media solutions for brands, agencies, and startups. Via an extensive network, David has the uncanny ability to uncover and engage with decision makers, influencers, and buyers. He thrives on building strategic relationships and driving new business growth.
Anyone can claim “senior team” and “AI-native.” These are the parts that hold up after the first ninety days.
Every account is staffed with a named senior pod from kickoff. Strategy isn’t delegated to an account manager — the person setting direction is the person building it.
A real platform sits underneath every retainer. It connects the channels, runs the routines a human would forget, and surfaces what to do next. Senior operators decide; the system does the heavy lifting.
Acquisition, lifecycle, GEO, content, CRO, analytics — all run from the same platform with shared context. No vendor handoffs. No conflicting dashboards. No meeting tax to keep eight teams aligned.
Tier-locked retainers. Same operating depth at every level — only velocity and volume scale. No surprise invoices, no resold tool margin, no annual ratchet. Month-to-month, both directions.
The short version of our last seven years, in four moves.
Sixteen years in, brands were juggling eight specialist vendors per quarter. The coordination tax already cost more than any single workstream. We rebuilt around senior-only delivery.
Folded paid, lifecycle, content and CRO under one senior team and one invoice. The agency model worked — until the work changed underneath it.
AI assistants quietly became the dominant discovery surface for high-margin DTC. We rebuilt the delivery model around it: GEO, AEO, Agentic CRO, AI UGC — all run from one platform.
35 services orchestrated by a single internal platform. 150+ commerce brands. $1.2B revenue under management. One team. One stack. Every quarter, sharper.
Written down once. Reviewed quarterly. Still all four.
Every vendor boundary is a place where momentum dies. We collapse boundaries because that’s where the compounding lives.
The marginal cost of doing the next correct thing should be near zero. A platform that orchestrates — not a human ticket queue — is how that works.
Models are tools. Operators are the judgment. We pair senior humans with deep automation because either, by itself, ships average work.
Quarter-by-quarter sprints look productive and decay fast. A system that keeps getting sharper is the only durable advantage in this market.
Snapshot from the unified dashboard. Same one the senior pods report on.
Bring the current stack, the last twelve months of revenue, and the growth question sitting open. Thirty minutes. We’ll tell you whether CV3 is the right operating layer for the next phase — and exactly why or why not.
