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Productized Data Infrastructure

Data your entire team believes.

Vero builds the complete, production-grade data foundation for Seed and Series A SaaS startups — in 8–12 weeks. Reliable metrics in Slack. No data hire required.

4 active SaaS clients
8–12 week delivery
$25k–$30k setup

The full data stack, assembled and battle-tested

Sources

Stripe · HubSpot · Salesforce · Ads · Product

Ingestion

Fivetran · Airbyte · dlthub

Warehouse

BigQuery · ClickHouse · Snowflake

Transform

dbt Core/Cloud · MetricFlow · dbt tests

Query

Hex · Slack AI · Plain English

sourcemodelmetricinsightaction

01 / The problem

Conflicting numbers erode trust faster than any product bug.

MRR in Stripe doesn't match HubSpot. Which one do I show the board?
We hired an analyst 6 months ago. We still can't answer basic questions reliably.
Our dashboards are beautiful. No one trusts them.

These are the questions founders ask on the day they close a round — and the day before a board meeting. They're not data problems. They're trust problems. Vero solves the root cause: a data foundation your whole team agrees on.


02 / What we build

A complete data foundation. Handed off, not rented.

Every deliverable is production-grade and built to your stack and business logic. The exit criterion is client self-sufficiency — not a retainer dependency.

Full ingestion pipeline

Every relevant source — Stripe, HubSpot, Salesforce, Google Ads, Facebook Ads, Mixpanel, Amplitude — connected and tested via Fivetran, Airbyte, or dlthub.

Transformation and semantic layer

dbt Core or Cloud with MetricFlow. Agreed-upon, codified definitions for MRR, churn, CAC, and attribution. No more departments with different numbers.

Data quality enforcement

dbt tests on every critical model. Slack alerts when something breaks. You find out before your investors do.

Plain-English querying

Hex and Slack integration so any team member — not just engineers — can ask a question and get a reliable answer without a SQL ticket.

Orchestration via Dagster

Automated, monitored pipeline runs with observable lineage. Built to self-manage after handoff.

Proprietary SaaS Data Framework

Codified metric definitions and data model patterns from dozens of real engagements — not assembled from scratch for your company.


03 / How it works

Four phases. 8–12 weeks. Self-sufficient at the end.

01Week 1–2

Discovery & Requirements

We audit your current data sources, map metric definitions to business reality, and agree on success criteria before writing a line of code.

02Week 3–8

Build

Ingestion, warehouse, dbt transformation, semantic layer, orchestration, and data quality tests — built to your stack. AI-native delivery means faster iteration without cutting corners.

03Week 9–10

Activate

Slack integration, Hex workspace, alert configuration. Your team runs their first real queries against live data before we exit this phase.

04Ongoing

Sustain

Pipeline maintenance ($2–4k/mo) or embedded analyst retainer ($5–8k/mo). Retainer is optional — the foundation is yours either way.


04 / Pricing

Cheaper and faster than a full-time hire.

A senior data engineer costs $150–200k/year and takes 3–6 months to ramp. Vero delivers a production system in 8–12 weeks at a fraction of that cost — and you own everything after.

Setup Engagement
$25,000–$30,000

One-time. 8–12 weeks. Production system handed off.

  • Full ingestion pipeline (all major SaaS sources)
  • BigQuery warehouse setup
  • dbt Core/Cloud + MetricFlow semantic layer
  • Dagster orchestration
  • dbt quality tests on all critical models
  • Slack + Hex integration
  • Knowledge transfer and documentation
  • Self-sufficiency as the exit criterion
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Pipeline Maintenance
$2k–$4k/mo

Pipeline monitoring, alerting, and maintenance. Optional post-delivery.

Embedded Analyst
$5k–$8k/mo

Ongoing analytics coverage on top of the foundation we built.


05 / Why Vero

Practitioner-led. Not pitch-led.

Proprietary SaaS Data Framework

Codified metric definitions and model patterns from dozens of real engagements. We don't assemble your data stack from scratch — we apply a proven system to your stack.

AI-native delivery

We use Claude, MCPs, and a proprietary knowledge system to deliver faster without cutting corners. You get a better result in less time.

Self-sufficiency is the exit criterion

We don't succeed until your team can answer their own questions. The retainer is optional. The foundation is yours.

Ready to trust your data?

Stop defending the numbers. Start using them.

A 30-minute discovery call to understand your stack, your pain, and whether Vero is the right fit. No pitch deck. No obligation.

Book a discovery call