Marketing, finance and product all pull different numbers from different tools and none of them agree. Every board meeting opens with reconciliation nobody planned for.

Vero builds your warehouse, pipelines and dashboards, so your whole team finally works from one number everyone trusts.

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

Week 1

Core infrastructure begins

$120k+

Potential hiring savings

4 to 6 weeks

Typical build window

100%

Fixed-scope delivery

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 ]

Q: 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.

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.

Dirty data block your AI roadmap

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

Real numbers, updated automatically, in the tools your team already checks. No waiting on an export. No asking someone to pull a report. Your team gets the answer the moment they ask the question.

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

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 _Marketing

You are running ads across Google, Meta, and LinkedIn, but you do not have a single view of what is working. CAC, ROAS, and pipeline live in three separate platforms. Every budget decision becomes a guess until someone reconciles the numbers 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, if the backlog allows	3 to 6 months, hiring plus ramp-up	Infrastructure in week 1, dashboards right behind it
Cost	Engineering time pulled off the roadmap	$120k to $160k a year, plus benefits	Fixed scope, no headcount
Data layer expertise	Generalists, outside their core skill	One hire, one layer, no backup	Specialists across ingestion, dbt, orchestration, BI
After go-live	No owner when it breaks	One person, one point of failure	A full team on retainer, accountable

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

Airbyte

Warehouse

BigQuery

Snowflake

ClickHouse

Transformation

dbt

Reporting and BI

Metabase

Looker

Power BI

Hex

Superset

Orchestration

Dagster

Infrastructure

GCP

AWS

Azure

Digital ocean

[ Case Studies ]

See What Changed After the Stack Went Live

SaaS · AI Voice Dictation

AI Voice Agent SaaS

A usage-billed AI voice platform serving 85 enterprise accounts across the US and EU. The product generates high volumes of call, cost, and engagement data billed against infrastructure from 12 separate vendors.

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

Read case study →

SaaS · AI Voice Dictation

AI Voice Dictation

A fast-growing voice-to-text AI product available across iOS, Mac, Windows, and Android. The platform runs a product-led growth model with paid acquisition across seven ad channels and subscription billing through Stripe and RevenueCat.

From four disconnected platforms to one engagement model, with at-risk users flagged before leaving.

Read case study →

SaaS · Tax Tech

Filed.

A product-led AI tax platform where prospects enter through ads, organic, and referrals, start free trials, and convert to paying workspaces. The company manages both a marketing funnel and a product trial base simultaneously across 12 data systems.

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

Read case study →

SaaS · Government Services

GovPlus

A SaaS platform built around government services where trust is the core product. GovPlus manages customer support, payments, and public reputation across multiple channels, serving users for whom a refund or complaint carries real consequences.

From nine disconnected systems to one warehouse, with the refund rate cut in half.

Read case study →

Sales Operations · EU

Voltera

A full-cycle solar sales operation based in the Netherlands, running Meta ad campaigns through to physical installation. Voltera manages leads, commissions, procurement, and back office costs across a multi-person sales team closing deals at scale.

From disconnected systems to true margin per deal and ad-to-installation funnel visibility, finally clear.

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, analytics engineer or data analyst?

A data engineer builds pipelines. An analytics engineer builds models. A data analyst builds dashboards. Most teams need all three, hired separately, ramped up separately, and coordinated by someone internally. Vero delivers all three as one team, with a deployment playbook we have run before, so you get the full foundation without the hiring cycle or the coordination overhead.

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.