--- title: "Vasco — The Revenue Data Layer for AI Agents" description: "What Vasco is — the revenue data layer for AI agents; how it connects your sources and returns sourced, deterministic answers." canonical: "https://vasco.app" --- # The revenue data layer purpose-built for AI agents Vasco structures your CRM, billing, calls, and support data into a semantic layer where every metric is sourced, every definition is locked, and every answer is deterministic. AI agents and GTM teams work from one accurate source of truth instead of conflicting reports. Primary actions: [Start for free](https://my.vasco.app/get-started) · [Talk to sales](/request-demo) ## The problem: agents are confidently wrong on raw CRM data Connect Claude (or any LLM) directly to your CRM and GTM stack via MCP and it will confidently get the numbers wrong. Asked "how are we pacing on Q3?" against raw CRM access, an agent reports pipeline as "on track, 102% of target" with high confidence — when the underlying data integrity is closer to 22%. The connectors work; the architecture between them doesn't exist. See the field report: [Claude Cowork is impressive — the infrastructure it assumes you have](/claude-case-study). ## Two ways to build One platform, two ways in: - **Out-of-the-box agents in Vasco** — specialized agents trained on your GTM context, with no setup or prompting, ready on day one. - **Bring your own tools via MCP** — connect Claude, Gemini, or any MCP-compatible client to Vasco's Context Graph. See [Builders](/builders). ### Ready-to-deploy agents - **Business Review Prepper** — auto-generates ready-to-present weekly/quarterly business reviews from your revenue data. - **ICP Analyst** — scans customer data to identify and sharpen your ideal customer profile. - **Data Cleaner / Data Medic** — detects and fixes dirty, duplicate, or incomplete CRM data automatically. - **Pipeline Analyst** — monitors pipeline health and surfaces deals at risk before they slip. - **Rep Coach** — analyzes rep activity and performance to surface personalized coaching insights. - **Forecast Analyst** — builds and tracks forecasts against plan. - **Churn Predictor** — identifies at-risk accounts before they churn using engagement signals. - **Custom agents** — configure an agent around your own GTM workflow and data sources. Browse the full set on the [Agent Marketplace](/agents/marketplace). ## The Revenue Context Graph — the brain for AI agents Every metric, signal, transcript, and contact is automatically reconciled and connected through a Context Graph, so revenue agents can reason about *why*, not just *what*. It is built in four layers: 1. **Data Structure** — connect your CRM and GTM tools (call recorders, billing, data warehouses, support/ticketing) into a single, structured revenue data model. 2. **Foundation Layer** — define revenue metrics, stages, attribution, GTM motions, teams, handoffs, and the bowtie model, so every team works from the same definitions. 3. **Planning Layer** — set quotas, map capacity and coverage, and build forecasts. 4. **Context Layer** — layer in signals, transcripts, qualitative frameworks (MEDDIC, SPICED, BANT), playbooks, and risks so the story behind the numbers is explicit (champion, sentiment, engagement, intent, churn risk). Why it matters, in numbers: **7x** more context per AI query than raw CRM access alone; **no-code** setup (describe your business in plain language — no CRM cleanup, data team, or migration); **100%** API-level accuracy on every metric query (same answer every time); live in **days**, not the 6–8 months a semantic layer normally takes to engineer. ## What you can do from day one Live the moment your sources are connected — no six-month implementation, no waiting on a data team: - **Connect your tools** — link your CRM, billing, conversations, and support tools in minutes. - **Ask your revenue data** and get sourced answers. - **Build agents** from templates or from scratch. - **Identity resolution** — 47 contacts across 2 CRMs reconciled into one account with one ID, however messy the data. - **Auto-reconcile conflicting sources** — when Salesforce says churned and Stripe says paid, see every conflict resolved. - **Run pipeline review with an AI agent** — stalled deals, missing context, and SLA breaches surfaced automatically. ## Done-with-you setup (Forward Deployed RevOps) Don't want to set it up yourself? Vasco's revenue-operations experts embed with your team and build alongside you. A typical first week: **CRM audit & cleanup** (fix stage mapping, reconcile sources), **motion & channel mapping** (define your GTM motions once, correctly), **your first agents** (first custom agent, workflow, and self-running report), and **ongoing** support as you evolve — a RevOps function from day one, not just onboarding. ## Security & compliance Vasco is audited and certified to industry-leading third-party standards, including **GDPR** and **SOC 2 Type II**. ## Get started You don't have 18 months to build this from scratch. Connect your CRM, describe your business, and deploy agents that reason — in days. - [Start for free](https://my.vasco.app/get-started) - [Talk to sales](/request-demo)