Building it yourself takes 6 months. Von works on day 1.

You can — and it’ll work great for the first few questions. But you’ll hit three walls fast.

1. Context window. Claude has a 1M token window, and a single call transcript runs 10–20K tokens. This means it can't analyze more than 50 calls, which are usually just 10 deals. So when you ask it a question, it analyzes just a small sample and drops the rest.
2. Keyword vs. semantic. MCPs do keyword search. Ask “which deals are at risk?” and Claude only finds calls where someone literally said “risk.”
3. Every user, every setup. No org-wide access, no shared memory. You manage dozens of individual setups instead of one platform.

They can build a demo in a weekend. They cannot build a production system.

There are seven categories of questions a revenue AI must answer, and they get exponentially harder. Category 1 (simple analytics) is the weekend build. By Category 4 (cross-deal analysis across structured and unstructured data), you need a pre-processing engine, a vector database, a semantic search layer, a context engineering framework, and an organizational memory system.

We spent $3.5M on R&D in 2025 and will spend $8M+ in 2026 building this stack. Bloomreach, a $250M+ ARR tech company, tried for 6–12 months with dedicated engineers and couldn’t get it to production. The honest math: 3–5 engineers for 6+ months, and you’ll still end up with something that handles maybe 20% of what Von does on day one.

Von is built on top of Claude and GPT; we use the best model for each task. What you’re paying for isn’t the model. You’re paying for the intelligence layer that makes the model useful for your business: the context graph that learns your revenue motion, the pre-processing engine that runs nightly, the semantic search across unstructured data, and the organizational memory that means every user benefits from every correction.

Without that layer, Claude is as brilliant as a new hire on their first day—that’s it. With Von, it’s a tenured VP of RevOps who’s been at your company for years.

And the tokens you’d consume trying to recreate Von’s capabilities in Claude would cost more than a Von subscription.

One admin connects your systems (Salesforce, call recorder, email, etc.), which is one-click with OAuth for each. Von then spends 3–7 days autonomously building a context graph of your business. No engineering resources, no field mapping, no configuration.

After that, we share a summary of what Von understands about your business: pipeline stages, revenue definitions, win/loss patterns, terminology. You spend about an hour reviewing and correcting anything that’s off. Then you’re live.

Most teams are getting value within the first week. Bloomreach went from first login to 400 users in 30 days.

Von is SOC 2 Type 2 certified, ISO compliant, GDPR compliant, and has completed independent penetration testing. We store data in our own AWS infrastructure, and every company gets its own isolated model. We never share data across customers and never use your data to train models for anyone else.

We have enterprise agreements with Anthropic and OpenAI that explicitly prevent them from training on your data. When you terminate, your data is deleted within 30 days.

Yes. Von shows its full reasoning. Every data source queried, every step of logic, and the specific queries it ran is all fully auditable.

As one customer put it: “Von is like an employee. I’m actually able to audit its work and see its reasoning.”

Every Salesforce update requires explicit user approval before execution. Von never makes changes without your sign-off.

You’re not starting over—you’re upgrading. Several of our customers came to us mid-build.

Most customers find that Von covers so much ground that the internal build becomes unnecessary. And because Von is month-to-month, there’s no risk. If your internal solution eventually surpasses Von, then cancel. In our experience, the gap only widens. We ship improvements every week with a dedicated team of AI engineers focused solely on this problem.

Yes, we offer a free two-week trial, which starts after the 3–7 days of context-building process. You connect your systems, Von builds the context graph, then you use it for real work.

After the trial, it’s month-to-month. There are no annual contracts, and you can cancel anytime. We’re confident enough in the product that we don’t need to lock you in.