Connect everything
Every GTM system – CRM, calls, docs, product – lands in one place, automatically.
POWERED BY
CLAUDE
CLAUDEBecome GTM AI-native.
Now, not in ten months
Deploy the agents you want, or build your own with no code. Vasco grounds each one in a context graph of 750+ sources, so the answers hold up when you check them.
Claude doesn’t say “I’m not sure.”
It says “here’s your pipeline summary.”And it’s wrong in a way that looks exactly like being right.
Read the full case study – “Claude Cowork is impressive”
Claude on raw CRM data: 21.9% accuracy. Claude with the Vasco Context Graph: 99.5% accuracy on the same Monthly Business Review.
Same Claude intelligence. Finally, the full picture.
Unified on arrival
Related records link as they come in: accounts, contacts, revenue – connected, not just collected.
Root cause in one click
When a number moves, trace it to the signal that caused it. Not just what changed, but why.
Who it's for
Built for every team in the revenue motion.
Revenue OperationsSee the number. Know why it moved.Learn moreMarketingStop funding the wrong accounts.Learn moreSalesKnow where deals stall and why.Learn moreCustomer SuccessCatch churn before it happens.Learn moreProductConnect usage to revenue outcomes.Learn moreRevOps for AI teamsGive your agents a trusted data layer.Learn more
What you'd have to build
Six categories of work between your agent and a real answer.
Each is its own engineering project. Tap through to see what each layer actually contains — and what it costs to build before you have one.
01/ 06
One account. Seven systems. No link.
Acme Corp is account_8842 in Salesforce, cus_K9aBz in Stripe, workspace_117 in your product, plus 47 contacts scattered across Gong, Slack and Outreach. Your agent reasons over seven strangers, not one company.
You'd build
- account-level resolution
- domain → account matching
- contact rollups
- merge-survival
- continuous (not batch)
Account timeline, with every conversation placed in stage.
Deal in CRM. Calls in Gong. Tickets in Zendesk. Threads in Slack. Contracts in DocuSign. Without reconstruction and conversation placement, your agent sees fragments – not Lead → MQL → SAL → Won.
You'd build
- event-level extraction
- per-account journey graph
- out-of-order merge
- conversation placement
- stage attribution
One question. Three different numbers.
“MQL conversion rate?” returns 23%, 31%, or 18% depending on which dashboard your agent reads. None match what your team actually agreed an MQL is.
You'd build
- semantic layer
- definition → SQL translation
- versioning
- audit history
- multi-team support
$180K closed sounds fine. The target was $240K.
Numbers without targets are noise. Your agent has no way to read the plan, so every answer is missing the most important context: variance.
You'd build
- plan store
- targets by Q · segment · rep
- variance compute
- re-forecasting
- what-if scenarios
Flagged at-risk. Doesn't know it's lost 4-of-4.
The agent flags a deal. It has no idea that stalled stage 3 + no exec sponsor + competitor named has lost four of the last four times.
You'd build
- historical pattern store
- continuous learning
- outcome tagging
- analogous-deal retrieval
You can see it stalled. You can't see why.
The “why” lives in a Slack thread, a Gong call, an email exchange. Linking “competitor mentioned Mar 14” → “velocity dropped 60% Mar 21” isn’t a query – it’s a research project.
You'd build
- unstructured → structured extraction
- causal linking
- cross-channel attribution
- causes (not correlations)
Total realistic build: ~9 months for version one.
Vasco ships this on day one. One MCP endpoint. Same data layer underneath every agent we've built and every one you'll build.
Insights from Revenue Leaders
How revenue teams use Vasco to move faster.
Centralize first. Buy the layer. Build the edge.Read more
“It is the line we already draw. We buy our GTM context graph, Vasco, so we can build our agents on top.”
The real question isn't build vs. buy — it's centralized vs. scattered. Get alignment there, and the right choice follows naturally.
Kyle Norton
CRO, Owner.com
Claude Cowork is impressiveRead more
“The question isn't whether Claude Cowork is useful. It's whether the data underneath it is trustworthy enough to act on.”
Same Claude intelligence — 21.9% accuracy on scattered data, 99.5% on the Vasco context graph.
Vasco Research
Claude accuracy report
Customer StoryRead more
“With Vasco, we prioritize what matters most, make high-leverage decisions, and avoid side quests that don’t move the needle.”
Joseph Zaghloul
Partner & COO
Customer storyRead more
“With Vasco, I feel like we're no longer running blind. It’s our secret weapon for maintaining focus, achieving predictable sales, and presenting data with confidence to investors.”
Thierry Ajaltouni
Co-Founder, Vessel.co
Forward Deployed RevOps
Don't want to set it up yourself? We'll do it with you.
Your progress on week one.
Our revenue operations experts embed directly with your team and work alongside you.
CRM audit & cleanup
We go inside your CRM first. Fix stage mapping, reconcile sources. Where most projects stall — we start here.
Motion & channel mapping
Define your GTM motions once, correctly. Every query returns a consistent answer.
Your first agents
First custom agent, first automated workflow, first report that runs itself.
Ongoing as you evolve
This isn't onboarding. It's a RevOps function from day one.
CRM audit & cleanup
We go inside your CRM first. Fix stage mapping, reconcile sources. Where most projects stall — we start here.
Motion & channel mapping
Define your GTM motions once, correctly. Every query returns a consistent answer.
Your first agents
First custom agent, first automated workflow, first report that runs itself.
Ongoing as you evolve
This isn't onboarding. It's a RevOps function from day one.
Move fast. Stay compliant.
Vasco is audited and certified by industry-leading third party standards.
You don't have 18 months to build this from scratch.
Connect your CRM. Describe your business. Deploy agents that reason – in days.