Network graph of 750+ integrations unified into one GTM context graph

750+ integrations. One unified GTM context graph.

Connect your CRM, ERP, billing, call recordings, support, and product analytics into a single bowtie-structured context layer. The foundation every module, and every Claude session, runs on.

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Vasco product — Connect
Vasco product — Create
Vasco product — Deploy
Also works with
OpenAI
LangChain
n8n
Gemini
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.

Data Structure

All your data sources, automatically reconciled and unified under a unique ID.

Call RecordersBilling EnginesWarehousesSupport TicketsOut-of-the-box

Foundation Layer

Enforce consistent metric calculations, stage definitions, and go-to-market structure.

GTM MotionsTeamsPeopleHandoffsCustomer JourneysMetricsStages

Planning Layer

Compare actuals against targets to spot revenue leakage and prioritize actions by impact.

QuotasCapacityCoverageForecastsGrowth Plan

Context Layer

Every call, message, product event, and signal — auto-connected and placed in each account's journey.

TranscriptsMEDDICSPICEDBANTPlaybooksSignalsRisks
Salesforce
Zendesk
Gong
HubSpot
Slack
Stripe
Attention
Intercom
7xMore context per AI query vs raw CRM access alone.
No-codeDescribe your business in plain language — No CRM cleanup, no data team, no migration.
100%API-level accuracy on every metric query — same answer every time.
Daysto a production semantic layer — not 6-8 months of engineering.

What you can do from day one

No 6-month implementation. No waiting for a data team. Live the moment your sources are connected.

Connect your tools

Link your CRM, billing, conversations, and support tools in minutes.

CRMs
HubSpot
Salesforce
Billing
Stripe
Syncing...
Conversations
Attention
Fathom
Syncing...
Gong
Sales & Support
Intercom
Zendesk
Communications
Slack
Project Management
Monday
Notion

[ 1 ]Ask your revenue data. Get sourced answers.

Metrics
Sales Stages
Data warehouses
Customer calls
Billing & invoicing
Planning
Vasco

Deterministic metrics

One definition of close rate.

Q3 conversion, Enterprise?24.3%

Causal Reasoning

Why did the deal stall?

Why did Acme go dark?Full journey
WBR Agent
Am I on track for this quarter's recurring revenue?

As of today, February 28, 2026, we are nearing the end of the second month of Q4 FY2026. Overall, we are significantly behind pace for both new customer acquisition and pipeline generation for the quarter.

We have generated $243K in New SAL pipeline against a forecast of $904K (27% attainment).

This suggests a limited "late-quarter" surge unless conversion rates drastically improve. Justin Hudon is currently the top driver of new pipeline, contributing $164K in New SALs this quarter.

4 sources
Inspect Metric
$243,679
$ Sales Accepted Leads
All Motions
SQL → SAL
Q4 2026
How was this calculated?
Account and Events

[ 2 ] Build agents from templates — or from scratch.

Suggested
WBR Agent
ICP Analyst
Pipeline Analyst
Rep Coach
Your Custom Agent
Instructions
Schedule
WeeklyDailyMonthly
Create Reports
Create Tasks
Search the Web
Claude
OpenAI
Unknown bird chain
n8n
Gemini

Identity resolution

47 contacts, 2 CRMs. One account. One ID. However messy the data.

CRMs
HubSpotSalesforcePipedriveAttio

Conversation Intelligence

& more

FathomGongApolloAttention
Sales & Support
IntercomZendeskDriftUnknown egg
Lead
5
MQL
SAL
9
Won

[ 1 ]Every signal, transcript, and message — routed, placed, and ready.

[ 2 ] When deals skip stages, we fill the gaps.

Awareness
Education
Selection
Closing
Onboarding
Expansion
Retention
4
1
2
D217

Auto-reconcile conflicting sources

Salesforce says churned, Stripe says paid. See every conflict, resolved.

Acme
NameAcme
Domain
acme.com
Motion
SMB
Channel
Inbound – Marketing
Deal stageSales Accepted Lead
Close date2026-03-12
Owner
Justin Hudon

[ 1 ]Salesforce calculated fields and custom objects

[ 2 ]Enrichments

Run pipeline review with an AI agent

What should this agent produce, and how often?

[ 1 ]Stalled deals, missing context, SLA breaches — surfaced automatically.

[ 2 ]Import or build forecasts

750+ integrations

Snowflake
BigQuery
Slack
Notion
Zendesk
Unknown egg
Stripe
HubSpot
Google Analytics
Google Ads
NetSuite
Workday
Attention
Supabase
Redshift
Intercom
Gong
LinkedIn
Gmail
Unknown beachball
Fathom
Apollo
Drift
Concord
Amplitude
Stripe
Monday
Unknown bwing
Mixpanel
QuickBooks

Two ways to build.

Out-of-the-box agents in Vasco, or bring your own tools and build via MCP. Two ways in, one platform.

Build in Vasco

Explore ready-to-deploy Agents

Specialized agents trained on your GTM context. No setup. No prompting. Ready on day one.

Business Review PrepperAnalyzes your revenue data to auto-generate ready-to-present weekly...
ICP AnalystScans your customer data to identify and sharpen your ideal customer profile.
Data CleanerDetects and fixes dirty, duplicate, or incomplete CRM data automatically.
Pipeline AnalystMonitors your pipeline health and surfaces deals at risk before they slip.
Rep CoachAnalyzes rep activity and performance to surface personalized coaching insights...
Your Custom AgentConfigure an agent around your unique GTM workflow and data sources.
Forecast AnalystMonitors your pipeline health and surfaces deals at risk before they slip.
Churn PredictorIdentifies at-risk accounts before they churn using engagement signals.
Build via MCP

Connect via MCP

Connect Claude, Gemini or any tool to Vasco's Context Graph.