Open-Source Revenue Intelligence
Ask nothing. Know everything.
AI agents that connect to your existing Stripe, Postgres, and CRM — unify fragmented records, detect anomalies, and explain the “why” behind every metric. Delivered to Slack before your first meeting.
< 3 hrs
Setup to first insight
93%
Record-matching accuracy
< 2 hr lag
Data freshness
Automated
Monday reports
80%
of companies cannot operationalize AI on their own data.
$47B
spent annually on data modernization programs
73%
of migration projects exceed their timeline by 2x+
12+
disconnected data systems in the average SaaS team
You shouldn't need a six-month migration to understand what happened to your revenue last week.
How It Works
From connected systems to daily intelligence in three steps.
01
Plug in your existing tools
Read-only connectors to Stripe, Postgres, MySQL, and your CRM. No migration project, no warehouse dependency. Connect in minutes, not quarters.
Stripe
Connected
Postgres
Connected
HubSpot
Connected
MySQL
Connected
02
Resolve who is who, automatically
Vesh matches customer records across every system into a single canonical entity graph. MRR, churn, and retention are computed from canonical definitions — so every team sees the same numbers.
Resolving customer records across systems...
Stripe
cus_NhJ8kLm
sarah@acme.io
plan: growth
Postgres
user_4871
Acme Corp
seats: 47
Resolved → Acme Corp
ent_00472MRR: $4,230 · health: at-risk · seats: 47 · NRR: 89%
03
Get answers in Slack every morning
A daily brief with key metrics, anomaly alerts prioritized by business impact, and weekly synthesis — all delivered where your team already works. No dashboards to check.
Daily Revenue Brief — Jan 15
$1.24M
MRR
+$18K
Net New
3.1%
Churn
Anomaly Detected
Enterprise churn spiked 2.4x vs 30-day avg. Root cause: 3 accounts using Feature X < 3x/week churned simultaneously.
Confidence: 94% · View lineage →
Trust Layer
Every number has a source.
Every insight has a confidence score.
Vesh doesn't ask for blind trust. Full lineage from summary to source record, confidence percentages on every metric, and human-in-the-loop for uncertain matches.
$ vesh trace “MRR dropped $15K”
Insight
confidence: 94% · generated: 08:22 UTC
Anomaly Detection
method: rate_of_change · severity: 0.87
Metric: churn_mrr = -$33K
records: 8 · confidence: 0.96
Entity: Acme Corp (ent_00472)
stripe:cus_NhJ8 (0.98) ↔ postgres:4871 (0.91)
Source: stripe.subscriptions[sub_Abc123]
status: active → canceled · extracted: 07:45 UTC
Loved by our customers
Here's what people are saying about us
Sarah Chen
@schen_saas
Vesh found a product issue driving churn that we'd missed for 3 months. It correlated feature usage data with cancellation patterns across our Stripe and Postgres data — something we'd never joined together manually.
Demetria Giles
@dgilescfo
Playing around with @veshai. I'm back logging key thoughts, details and soundbites from MRR trends, churn drivers, and expansion signals from the past week. So far, it's a data team's dream come true.
Ryan Delk
@rdelk
Don't take it from me: @veshai is magic. We went from weekly manual data pulls to daily automated revenue briefs in under a week. The anomaly detection caught a billing issue before our finance team noticed.
Marcus Webb
@marcwebb
The entity resolution alone is worth it. We had the same company appearing as 14 different records across Stripe and Postgres. Vesh merged them in minutes with 98% confidence.
Sarah Chen
@schen_saas
Vesh found a product issue driving churn that we'd missed for 3 months. It correlated feature usage data with cancellation patterns across our Stripe and Postgres data — something we'd never joined together manually.
Demetria Giles
@dgilescfo
Playing around with @veshai. I'm back logging key thoughts, details and soundbites from MRR trends, churn drivers, and expansion signals from the past week. So far, it's a data team's dream come true.
Ryan Delk
@rdelk
Don't take it from me: @veshai is magic. We went from weekly manual data pulls to daily automated revenue briefs in under a week. The anomaly detection caught a billing issue before our finance team noticed.
Marcus Webb
@marcwebb
The entity resolution alone is worth it. We had the same company appearing as 14 different records across Stripe and Postgres. Vesh merged them in minutes with 98% confidence.
Jeremy McPeak
@jwmcpeak
I just got access to @veshai, and holy crap! It is well thought out, and I can see this being my go-to revenue intelligence layer going forward. Well done! I'm looking forward to seeing how the app progresses.
Fabrizio Rinaldi
@linuz90
I'm keeping @veshai open all the time, and I'm using both for simple journaling and long-form anomaly analysis. It's rare to see a single app work so well for both technical and executive audiences.
Jonathan Sima
@jdsimao
All righty. I have to say @veshai has really matured to a point where speed, focus, and a few bits of structured data context make it dramatically better than manual analysis.
Priya Nair
@priyanair_ops
Saved our VP of Finance 4 hours every Monday. The weekly digest arrives before they even open their laptop. Confidence scores on each metric means we actually trust the numbers now.
Jeremy McPeak
@jwmcpeak
I just got access to @veshai, and holy crap! It is well thought out, and I can see this being my go-to revenue intelligence layer going forward. Well done! I'm looking forward to seeing how the app progresses.
Fabrizio Rinaldi
@linuz90
I'm keeping @veshai open all the time, and I'm using both for simple journaling and long-form anomaly analysis. It's rare to see a single app work so well for both technical and executive audiences.
Jonathan Sima
@jdsimao
All righty. I have to say @veshai has really matured to a point where speed, focus, and a few bits of structured data context make it dramatically better than manual analysis.
Priya Nair
@priyanair_ops
Saved our VP of Finance 4 hours every Monday. The weekly digest arrives before they even open their laptop. Confidence scores on each metric means we actually trust the numbers now.
48h
Time to first value
23%
Churn reduction in 60 days
93%
Entity resolution precision
87%
Insight approval rate
From messy data
to clear decisions.
Join the companies replacing dashboard complexity with proactive intelligence.