Find the buying signals already in your data
Connect your data warehouse in 5 minutes. First backtest in 10. Free forever for self-hosted; 30-day money-back on Cloud.
Beton's agent reads your data warehouse, finds patterns that predict revenue, and routes the revenue-driving ones to your CRM.
Open source under AGPLv3 — self-host or Cloud.
Squeeze more $ out of your pipeline
Four things that aren't true of any other revenue intelligence vendor on the market today.
Automated discovery
Beton's agent reads your schema and proposes signal hypotheses tailored to your product. You don't write rules, run SQL, or pre-list which events matter.
Backtested before live
Every hypothesis is validated against your own history before it routes anything. You see precision, recall, and lift over baseline — not vendor-trained black-box scores.
Tailored to your schema
Hypotheses are scoped to YOUR tables, your event taxonomy, your billing setup. No generic playbooks dropped in from another company.
Yes, a scoring vendor — but self-hostable
AGPLv3 source on GitHub. Run it on your own VM with no data egress, or use our cloud — same code. Security review for free.
How It Works
Four steps from product data to revenue action.
Connect Your Data Warehouse
Link PostHog or point Beton at any Postgres warehouse with a read-only role. Optionally add Stripe billing events for revenue-grade signals.
Beton Finds Patterns
The agent reads your schema and discovers patterns that predict revenue. Each candidate is backtested on your data; you approve the ones that beat your bar.
Your Pipeline Gets Filled
Approved signals fire on every match and route to Attio, Apollo, or any HTTPS endpoint via Webhooks. No rep clicks anything.
Your Reps Go After the Best Deals
Reps see signal context on every Attio record they open. Marketing targets the highest-fit accounts. CS catches churn risk before it shows up in MRR.
Connect Your Data Warehouse
Link PostHog or point Beton at any Postgres warehouse with a read-only role. Optionally add Stripe billing events for revenue-grade signals.
Beton Finds Patterns
The agent reads your schema and discovers patterns that predict revenue. Each candidate is backtested on your data; you approve the ones that beat your bar.
Your Pipeline Gets Filled
Approved signals fire on every match and route to Attio, Apollo, or any HTTPS endpoint via Webhooks. No rep clicks anything.
Your Reps Go After the Best Deals
Reps see signal context on every Attio record they open. Marketing targets the highest-fit accounts. CS catches churn risk before it shows up in MRR.
Built for Revenue Teams
Everything you need to turn product usage data into revenue signals.
Automatic Hypothesis Discovery
Beton's agent proposes signal hypotheses tailored to YOUR schema. You review and approve — no rule-writing, no analytics SQL.
Multi-Destination Routing
One detected signal fans out to Attio, Apollo, and any HTTPS endpoint via Webhooks. HMAC-signed, retried, and logged.
Bring Your Data Warehouse
Connect PostHog directly, or any Postgres warehouse with a read-only role. Same hypothesis-and-backtest flow on either source.
CRM Sync
Upsert Companies, People, and deal records in Attio when buying signals fire. Append-only on existing fields — never overwrites user-entered data.
Backtested Hypotheses
Every signal hypothesis is scored on your last 90 days of events — precision, recall, lift over baseline — before it routes anything to sales.
Self-Hosted, Open Source
AGPLv3 source on GitHub. Self-host on your own infra — no data leaves your stack — or run on our cloud. Same code either way.
See what the agent does
Three steps the agent walks every workspace: learn the business, learn the warehouse, surface the signals.
What the agent learned about you
Beton infers your business type, growth model, ICP, and product assumptions from your data and website — then uses that context to propose signal hypotheses tailored to your product.
Schema, joins, and lineage — figured out
Beton walks your warehouse, infers join keys across events, persons, sessions, and revenue tables, and shows you the schema it learned. No semantic layer to maintain.
Signals & backtest
Each auto-discovered signal shows conversion with vs. without, lift over baseline, statistical confidence, and estimated ARR — backtested before it ever fires.
Trusted by teams at
Stop guessing which users will convert
Connect your data warehouse and surface real buying signals — no rule-writing, no SQL.
Simple, Transparent Pricing
Self-host for free or use our managed cloud. No hidden fees.
Self-Hosted
Full control. Deploy on your own infrastructure with GPL license.
- Unlimited users
- All signal detection features
- All CRM integrations
- Sync data – weekly
- Signal detection – weekly
- Webhook & n8n support
- Bring your own LLM key
- Community support
- GPL licensed
Cloud
Managed hosting. No data storage on our side, instant setup.
- Everything in Self-Hosted
- Sync data – daily
- Signal detection – daily
- Managed infrastructure
- No data storage on Beton side
- Instant setup — connect PostHog in minutes
- Automatic updates
- Priority support
- 99.9% uptime SLA
Enterprise
For organizations with advanced security, compliance, and deployment needs.
- Everything in Cloud
- Sync data – every 4 hours
- Signal detection – every 4 hours
- Air-gapped deployment
- Role-based access controls
- White-glove onboarding
- Custom integrations
- Dedicated support
- SLA guarantees
Built by founders who lived this problem
Vlad and Aleks worked together at Handl.ai (YC) before starting Beton.
Vlad Nadymov
Founder & CEO
Co-founded Beton after watching every PLG team rebuild the same hypothesis-and-backtest flow from scratch. Previously: data and product roles at Handl.ai (YC), inDrive, Borzo Delivery, and Rainbow AI.
LinkedIn →Aleks Markelov
Co-Founder & CTO
Deep learning researcher turned engineering leader. Previously built AI-powered document processing at Handl.ai (YC) and developer tools at Manuscript. Studied at MIPT (Moscow Institute of Physics and Technology).
LinkedIn →From the Blog
Latest thoughts on revenue intelligence, product-led growth, and behavioral signals.
Frequently Asked Questions
What data sources does Beton connect to?
How is Beton different from writing my own signal rules?
Where do the signals go once they fire?
Is Beton really open source?
How much does Beton cost?
Do I need to give Beton write access to my warehouse?
Ship your first backtested signal this week.
Connect your data warehouse, approve the hypotheses that beat your bar, route the winners to your CRM. Open source, self-hostable, free to start.
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