Today we're announcing Von, the AI RevOps headcount purpose-built for revenue teams. Von connects to your CRM, call recordings, emails, calendars, and data warehouses, maps your deals, relationships, and conversations, and delivers finished work for anyone on the revenue team — decks, dashboards, PDFs, Slack notifications, territory plans written directly back into Salesforce. We launched in early access a few months ago and customers are already reporting results that sound like they can't be real. A 95% drop in ad-hoc RevOps requests. An entire 400-person revenue org adopted Von in three weeks. Analysis that took hours is coming back in minutes. This post is the full story of what Von is, how it works, and why we built it.
The capacity problem (and what's on the other side of it)
It's the first day of a new quarter. Your CEO wants last quarter's results. Your board wants talking points. Your pipeline needs to be cleaned up before anyone can forecast accurately. Territories need rebalancing across 20,000 accounts. Deal desk performance needs analysis. And your RevOps team, the people responsible for all of it, will need days to weeks to deliver any single one of those.
That's the capacity problem revenue teams have been living with for years. The work is essential. The people who do it are good. There just aren't enough of them, and there never will be.
But the cost of that bottleneck goes beyond slow reports. When RevOps is buried in ad-hoc requests, there's an entire category of high-value work that never gets done at all. The analysis that would tell you why deals actually stall. The cross-referencing of what reps say on calls against what's in your CRM. The scoring of every discovery call against your methodology. That work isn't in anyone's backlog because nobody has the bandwidth to even consider it.
Now picture what changes when every member of the revenue team has their own AI VP of RevOps at their side. The sales manager doesn't file a ticket to prep for one-on-ones. She does it herself, in minutes. The CRO doesn't wait three days for board deck data. He builds the deck directly. The CS leader doesn't guess which renewals are at risk. She asks Von to analyze conversation signals across the entire book.
The ad-hoc queue disappears. And when the queue disappears, teams operate faster and senior RevOps leaders stop being a help desk and start being what they were always supposed to be: the strategic engine of the revenue org.
That's what we built Von to do.
What Von is
Von is AI RevOps headcount for your revenue team. I'm deliberate about that word. Headcount. When you hire someone, you expect capacity, ownership, and finished work. You don't expect a suggestion or a summary. That's the standard Von holds itself to.
The user describes what they need. Von determines what's required, whether that's SQL, SOQL, Python, predictive analytics, one agent or a hundred agents working together, and delivers the output in whatever format the work demands. You never have to decide which agent to invoke or which workflow to configure.
Von doesn't just answer your questions. It handles your tasks.
Why it works on day one
When users first log into Von, it already understands your pipeline, your products, your acronyms, and your sales methodology. It responds in the business language your team actually uses.
That's because of the context graph. Before anyone logs in, Von connects to your CRM, call recordings, emails, and data warehouse and builds a deep map of how your revenue org actually operates. That process takes a few days and requires very little from your team to get started. The context graph is why Von already knows your business before you give it your first task.
But the context graph is only the foundation. What makes Von's finished work genuinely trustworthy is what your team builds on top of it.
Your RevOps admins teach Von how your company thinks about its data. What does ARR mean here? How do you calculate renewals? What's your territory logic? How does LATAM revenue recognition differ from the US? Those definitions become shared organizational knowledge. When your admins invest that time, the entire org gets RevOps at their fingertips. A sales manager in London and a CRO in San Francisco both get answers built on the same trusted definitions.
Chris Hudson, Director of Revenue Technology at Cresta, described it well: "We can trust the answers from Von because of the org memory. We set the definitions. This is what ARR is, this is how we look at renewals. And then every other person in the company gets the same trusted answers."
Von works out of the box and the people who guide it stay in control of what "right" looks like for your business.
What we're seeing from customers
At Qualified, ad-hoc requests to the RevOps team dropped 95% after rollout — a number their VP of RevOps shared after seeing how quickly the team self-served once Von was live. Kieran Snaith, their SVP of RevOps, said: "Managers prep for their own one-on-ones, reps pull their own pipeline data, and leadership gets real-time answers. We went from being a bottleneck to being strategic advisors."
At Bloomreach, the story is even more striking. They'd spent months trying to make a general-purpose AI tool work for their revenue team, including dedicated engineering resources, but couldn't productionize it across the org. Within 30 days of trying Von, they rolled it out wall-to-wall and rolled back the previous tool entirely. Adoption went from 20 users to 400 in three weeks — with little training or enablement from their team. Amanda Cole, their CMO, called it "the fastest adopted technology we have implemented at Bloomreach." She also said something that stuck with me: "The moment I started interacting, I realized that Von understood our language and our context. I did not have to do anything. It already responded in the business language we used. And the answers were right." That last sentence is the one that matters. The answers were right.
A discovery call impact analysis that used to take 4 to 5 hours at Bloomreach now takes 20 minutes. That's not a marginal improvement. That's a different category of work.
At Tinuiti, a Salesforce screen flow build was cut from 2 hours to just over an hour, and sales leadership projects that Von will cut weekly pipeline review meeting time in half. Lindsay Dembinski put it simply: "What Von really gave us back was time."
At Cresta, Chris described Von as "an employee I can give a task to. I can actually audit its work and see its reasoning and its thinking, without me hiring a traditional headcount."
Who uses it and what they do with it
CROs and revenue leaders build board decks, run forecast analysis, and get instant answers on pipeline health and team performance. Eric Choronzy, CRO at DemandScience, calls Von his "number one sidekick." He used to spend days prepping for board meetings. Now he builds the entire deck in under an hour. His framing: the old loop was signal → discussion → report → analysis → alignment → meeting → decision → rollout → execution. With Von, it's signal → decision → execution → iterate.
RevOps teams audit pipeline health, build scoring models, handle Salesforce administration, and eliminate the ad-hoc reporting queue entirely. Taylor Kelly, Head of Revenue Operations at Tapcart, said: "Von handles the analysis and insights that would normally require hiring another full-time analyst."
Sales leaders and AEs prepare for forecast calls, one-on-ones, and customer meetings with full account context pulled from every prior touchpoint and conversation. CJ Oordt, Sales Director at Coalesce, described it as "having a research assistant who knows every conversation and note and can recall exactly what I need, exactly when I need it."
Customer success and renewals identify churn risk by analyzing conversation signals from calls and emails across the renewal book. Sydney Showalter-Parisi, Head of Renewals and Expansion at 15Five, said: "This is analysis I previously couldn't justify dedicating headcount to."
Marketing and enablement connect campaigns to pipeline, run win/loss analysis, score calls against custom rubrics, and build competitive intelligence in minutes instead of weeks.
What makes this different
The market is full of AI products for revenue teams right now. Most of what's out there falls into one of a few categories: chatbots that sit on top of your CRM, platforms where you build and wire together your own agents, toolkits of pre-built bots that each do one narrow thing, or BI layers that require you to know which dashboard to open. All of them ask the user to do the orchestration.
Von does the orchestration itself.
The other difference is architectural. General-purpose AI tools can be brilliant on a single deal or a single data source. But they start from zero every time. They have no memory of your sales process, your terminology, or what they learned yesterday. They're a brilliant new hire on their first day, every day.
Von is built on top of foundation models, but it learns your business upfront — pipeline stages, playbook, win/loss patterns, Salesforce metadata, call recordings — and compounds from every interaction. It can reason across hundreds of deals and dozens of data sources simultaneously because it's already stored, vectorized, and pre-processed your data. A VP asking about 200 deals gets a real answer, not a sampled guess.
Von also automatically selects the strongest foundation model for each task and keeps pace with new models as they're released. Your team never has to evaluate, switch, or manage models.
Enterprise-ready from day one
Von is SOC 2 compliant, with full security documentation at trust.vonlabs.ai. The platform respects your existing Salesforce permissions and validation rules and always requests confirmation before making changes to records. Your data is never used to train models for other customers. You can see the SOQL queries Von runs, the data sources it references, and the logic it applies. Every answer is fully auditable.
Who we are
My co-founder Apoorva Verma and I previously built Rattle, a Salesforce-Slack integration platform used by hundreds of revenue teams. We're backed by Insight Partners, Lightspeed, Sequoia Capital, and GV. The thing I hear most from customers is that working with our team feels different. We're accessible. We're in the details. We care about whether this actually works for your team, not whether we hit a logo count.
Try it
Von is available now at vonlabs.ai. See Von in action in a six-minute walkthrough, or book a demo and we'll set up a free trial with your live data so you can see what Von does with the tasks your team is actually working on.
Everyone on your revenue team needs a VP of RevOps at their side. That's Von.
