Your team pulls from HubSpot, Stripe, Postgres and three ad platforms every time someone needs a number. The exports take hours. The numbers never match. And every board meeting opens with thirty minutes of reconciliation nobody planned for.

Vero builds your complete data foundation, warehouse, automated pipelines, clean data models and live dashboards on your own cloud in 5 to 7 days, without you hiring anyone.

Data Sources

Connected systems

Stripe, Chargebee

HubSpot, Salesforce

PostHog, Mixpanel

Google Ads, Meta Ads

PostgreSQL, REST APIs

Vero · Query engine

Ask your data a direct question.

Connected to your pipeline

MRR Churn Pipeline Adoption

Answers

Where you work

Slack channels & DMs

Chat interface

Scheduled digests

Team notifications

Delivery

Reports & Alerts

Automated dashboards

Board-ready reports

Anomaly detection

Threshold alerts

Days to launch — warehouse, pipelines, and dashboards live

$0k+

Saved annually versus a full-time data engineer hire

Weeks the same build takes without Vero

Of engagements delivered on a fixed scope and timeline

Vero is ready

Accuracy 97.3% ↑ Your data

Definitions 42 ↑ Your rules

Generic AI 61% ↓ Assumptions

Answer accuracy by source

Vero

RAG

GPT

Gemini

Generic

Accuracy improves over time

Your data only Your definitions No assumptions

What makes Vero different from hiring a data engineer?

A data engineer takes six months to hire, costs $120,000 to $160,000 per year, and still only covers one layer of the stack. Vero has built this exact foundation across multiple teams. The architecture is proven. The process is repeatable. You get a production-ready data stack delivered by a specialist team, without the hiring cycle, the ramp-up time, or the ongoing headcount.

Vero is not a hire. It is a team with a track record, delivering a production system from day one.

See exactly what we build on your stack

[ THE PROBLEMS ]

Sounds familiar ?

Your data is broken and your team is working around it.

Most teams at your stage are not missing data. They are missing a foundation that makes it usable. Right now your team reconciles instead of decides. Every week that stays true, a competitor with clean infrastructure moves faster.

Get Started with Vero

Every team reports a different number

Marketing, finance and the dashboard show three different MRRs. Nobody knows which is right. Every board meeting opens with reconciliation instead of decisions.

Your most expensive tool is a spreadsheet nobody trusts.

Hours spent pulling, pasting, and reconciling data that should move automatically. The work gets done. The numbers still do not add up.

Every product release breaks your reporting

Schema changes break manually assembled exports. Your team spends the day after every release fixing reports instead of reading them.

Your AI roadmap is blocked by dirty data

You cannot build features, forecasts, or dashboards on data that is inconsistent and untested. The foundation is missing. Everything else is waiting on it.

Every business question is stuck behind a person

Someone on your team pulls the data, assembles it, and sends it across. You wait. Then you decide. Vero replaces that loop with a data layer your whole team queries directly.

[ What we build ]

The data foundation has three forms.

Unified Data Warehouse

Every source your data lives in, HubSpot, Stripe, Postgres, ad platforms, product analytics, connected and loading into one structured warehouse automatically. No manual exports. No CSVs. One place your whole team pulls from.

Clean Data Models

Your metrics defined once and applied consistently everywhere. Revenue is one number. Retention is one definition. No more reconciling at midnight before a board meeting.

Live Dashboards

First dashboards live in week one. MRR, pipeline, CAC, retention, ad spend, self-serve and auto-updated. Your team answers their own questions without waiting on engineering.

Build Your Data Foundation Today

[ Who this is for ]

Your role is different. The problem is the same.

If you recognise your situation below, Vero was built for you.

Founder or CEO, post-raise

You just closed a round. Investors want metrics. Your board wants a dashboard. Your team is still on a spreadsheet from year one. You cannot wait six months for a hire to fix this.

Head of Operations or RevOps

You know the answers exist somewhere across your tools. Getting them out means filing a request, waiting, and receiving something that answers the wrong question. You need one place to pull from, not another person in the loop.

CTO or Technical Co-founder

You know what dbt and Dagster are. You know your team needs them. But it is not on the roadmap and your engineers are on the product. You want it built right, in your cloud, and handed over cleanly.

Head of Growth or _{Performance Marketing}

You are running paid across Google, Meta, and LinkedIn with no single view of what is working. CAC, ROAS, and pipeline live in three separate platforms. Every budget decision is a guess until someone reconciles it manually.

If this sounds familiar, your data foundation is missing and it is costing you more every week it stays that way.

Book a 30-minute scoping call

Free 30-minute scoping call

We map your stack, your questions, and what done looks like for your business. No jargon. No sales pitch.

We find every place your data lives

We audit every source your numbers are scattered across and define the metrics that matter right now. Nothing gets missed.

We build the entire foundation

Sources connected, warehouse loaded, dbt models built and tested, Dagster orchestration deployed on your cloud. You own every line of it.

Your first dashboards go live

Real numbers. No spreadsheets. Your whole team answers their own questions without waiting on engineering or filing a request.

We stay on as your data team

We continue managing your data stack by adding new sources, improving models, building dashboards, and supporting new reporting needs without the cost of hiring, long ramp-up times, or handoff delays.

[ HOW VERO WORKS ]

From kickoff call to live dashboards

No discovery sprints that last a month. No architecture workshops before a single line is written. Vero runs a proven five-step deployment process refined across every client engagement. You do not pay for us to figure it out. We already know what to do.

[ WHY VERO ]

Why the teams who tried to build this internally came to us instead

Category	Building Internally	Hiring a Data Engineer	Vero by Datum Labs
Time to first dashboard	3 to 6 months depending on engineer availability and backlog	3 to 6 months hiring plus ramp-up time	5 to 7 days from scoping call to live dashboards
Cost	Engineering time pulled from product roadmap	$120,000 to $160,000 per year plus benefits and hiring time	Fixed-scope engagement, no ongoing headcount
Data layer expertise	Generalist engineers building outside their core skill set	One hire covering one layer with no supporting team	Specialists across ingestion, dbt, orchestration, and BI across dozens of stacks
After go-live	No clear ownership when pipelines break	Single point of failure, all knowledge in one person	Managed retainer with a full team accountable for the stack

Plan Your Data Foundation

[ TECH STACK ]

Built on the stack you already have

Vero does not ask you to replace your infrastructure. We build and deploy the full data stack on top of what you already use, in your own cloud account.

Data Sources

HubSpot

Stripe

Postgres

Google _Ads

Ingestion

dlt

Fivetran

Warehouse

BigQuery

Snowflake

ClickHouse

Transformation

dbt Core

Reporting and BI

Metabase

Looker

Power BI

Hex

Orchestration

Dagster

Infrastructure

Kubernetes on GCP

AWS

Azure

[ Case Studies ]

See What Changed After the Stack Went Live

SaaS · AI Voice Dictation

AI Voice Agent SaaS

Twelve vendor bills. Eighty-five accounts with no health view. No idea what a call actually cost or which customers were going silent. Vero unified 20+ sources into BigQuery and built a live COGS model and CSM health dashboard that surfaces at-risk accounts automatically.

From twelve disconnected billing portals to real unit economics and customer health in one view.

Read case study →

SaaS · AI Voice Dictation

AI Voice SaaS

Product events, billing, and ad spend across four separate platforms with no shared identity. Downloads were climbing but nobody could see who was actually engaged or which channels produced users who stayed. Vero unified 13 sources into ClickHouse and built dashboards that made those signals visible.

From four disconnected platforms to one engagement model with at-risk users flagged automatically.

Read case study →

Filed.

Trials were starting. Nobody knew which ones were engaging or where the deal came from. Product usage in Postgres, leads in HubSpot, and ad spend across three portals with no thread connecting them. Vero built the Lead-to-Cash model and trial health scoring across 12 sources on Snowflake.

From invisible trial funnels to per-workspace health scores and a full deal journey from first click to paid.

Read case study →

SaaS · Government Services

GovPlus

Nine systems. No warehouse. Complaints were rising, refunds were climbing, and no one could connect which products were driving it. Vero unified all nine sources into BigQuery and built cross-domain models that named the root cause. The team fixed it. The refund rate halved.

From 9 disconnected systems to one warehouse. Refund rate cut in half after root cause was identified.

Read case study →

Sales Operations · EU

Voltera

Meta ads, a Postgres CRM, and an MSSQL ERP with no connection between them. Deals were closing but true margin per deal was unknown. Commission, installation, procurement, and back office costs lived across five systems. Vero built the full-funnel model and connected it all in BigQuery

From disconnected systems to true margin per deal and full ad-to-installation funnel visibility.

Read case study →

[ Ready to Build? ]

Every week you wait, a decision gets made on the wrong number

Your competitors are not waiting. Book a free 30-minute call and walk away knowing exactly what your data foundation costs and when it goes live.

Book a free 30-minute call

Frequently asked questions

How is Vero different from hiring a data engineer?

Vero provides a specialist team to design, build, and manage your data foundation. Instead of hiring and onboarding a full-time data engineer, you get a proven implementation process and ongoing support.

How long does it take to build a data warehouse and reporting stack?

Timelines depend on the complexity of your systems, data sources, and reporting requirements. Most teams can begin seeing value significantly faster than a typical in-house build.

Is my data secure, and who owns it?

Yes. Vero runs in your cloud environment, and you retain ownership of your data, infrastructure, and reporting assets. Your team controls access, permissions, and the underlying data stack.

Can Vero support AI and natural language analytics?

Yes. A clean data foundation makes it easier to connect AI tools and analytics assistants to your business data, helping teams access insights without relying on manual reporting workflows.

What tools can Vero connect to?

Vero works with common business systems including CRMs, payment platforms, databases, product analytics tools, and advertising platforms. Data from multiple sources is unified into a single reporting layer.