One specialty, not a catalogue
Looker, LookML, BigQuery, dbt. Nothing else is sold here.
Numbers your team can trust.
Already on Looker: we audit and fix it. Moving to Looker: we model and migrate. LookML, BigQuery, dbt. Remote, in writing, at a fixed scope.
The problem
Three teams, three revenue numbers, all of them "correct".
Finance excludes refunds, sales counts signed-not-invoiced, the exec dashboard sums something in between. It is not a tooling problem: it is a semantic layer that is missing or unmaintained. Neuravoid builds it, repairs it and keeps it alive, in Looker and BigQuery.
A quote within 24 hours
You describe your context, you get a scope, a timeline and a quote within one business day. No surprises after that.
Asynchronous delivery
Written brief, delivery as reviewed, versioned code with an explainer video, one call if you want one. No staffing, no mandatory meetings.
Offers
Five offers, one subject: Looker.
Start with the audit if you already run Looker. Start with the migration if you want to get there. The retainer takes over once the foundation is sound. Every offer has a scope and a timeline; the quote arrives within one business day.
LookML audit
Five days to find what slows your explores and breaks trust in your dashboards, with the fixes delivered on a branch.
Timeline 5 business days
See detailsBigQuery + dbt + Looker semantic layer
One definition per metric, modelled in dbt, exposed in LookML, governed. Your three revenue numbers become one again.
Timeline 3 to 5 weeks
See detailsMigration to Looker
From Looker Studio, Tableau or Power BI: we model in LookML what deserves it, re-point the dashboards that matter, train the analysts. 4 to 8 week engagement.
Timeline 4 to 8 weeks
See detailsAnalytics agents
Conversational Analytics, Gemini in Looker, Looker MCP: a 4-week pilot so your teams can question data in plain language and get correct answers.
Timeline 4 weeks
See detailsLooker retainer
Three days a month of remote Looker engineering: LookML changes, new explores, review of your analysts' code, analyst training. Cancel any month.
Timeline 3 days / month
See detailsReference implementations
Code you can read before you write to us.
Three complete, public semantic layers built the way we build them for clients: dbt on BigQuery, LookML, dashboard, linter and continuous integration. One per sector.
E-commerce
Margin, average order value, repeat rate, one revenue number. Public thelook_ecommerce dataset, 13 metrics, 3 explores.
Healthcare
30-day readmissions, length of stay, chronic conditions, patient field protection. Synthetic Medicare data in OMOP format, 17 metrics.
Fintech
Payment volume, chargebacks, churn, loan book and delinquency. Generated synthetic data, customer history, 56 metrics, 134 tests.
How we work
In writing, as reviewed code, on video.
01
You write
Three lines on your stack, what is broken and the deadline. Answer within one business day with a scope and a price.
02
We scope in writing
Structured brief, access, list of deliverables. A 30-minute call if you want one.
03
Neuravoid delivers
Code delivered separately, written report, explainer video. You review, then integrate.
04
You decide what is next
Retainer, next offer, or nothing. No commitment beyond the offer you bought.
Frequently asked questions
What people ask before signing.
Why only Looker?
Because it is what Neuravoid runs in production and the only area where a result in five days can be guaranteed. A generalist "data and AI" consultancy cannot promise that.
Do you work on site?
No. Everything is delivered remotely and asynchronously. That is what makes fixed scopes and short timelines possible.
Can you work on a day rate or as staff augmentation?
The Looker retainer replaces staffing: three days a month, remote, no required presence. For one-off needs, the fixed-scope offers cover most cases.
What about broader data engineering, generative AI, automation?
The data engineering Looker needs (dbt, BigQuery) is included. Standalone Looker Studio dashboards, generative AI outside analytics, automation: out of scope, we say so honestly and point you elsewhere.
How fast can you start?
A LookML audit usually starts within ten business days. Longer engagements are scheduled at the brief.
Describe your context.
Your stack, what is broken, the deadline. Three lines are enough. Written answer within one business day.
Write to NeuravoidOr directly by email
contact@neuravoid.io