Clarivant Book a call

Data & analytics consulting — senior-led, few engagements by design

Decisions move
at the speed of
trust

We make the numbers your business runs on trustworthy enough to bet on — and ready for AI when you are.

Book a 30-min strategy call See the work →

30 minutes with the founder, no pitch. You leave knowing whether your problem needs a diagnostic, and what it would cover.

0.002% variance · $84M revenue pipeline, validated

Track record built at

  • Procter & Gamble
  • eBay
  • Adevinta

Led by founder Arturo Cárdenas — 15+ years in analytics, across 15+ countries.

Clarivant is a founder-led boutique data and analytics consultancy. It rebuilds BI stacks into governed dbt/Snowflake foundations that AI can query, validated to the cent, and serves clients in the US, Europe, Mexico and Latin America, remotely, in English or Spanish.

Is it real?

You’ve been burned before.

An agency that demoed partners and delivered juniors. Dashboards nobody opens because nobody trusts them. An AI roadmap that never touched your actual data. Meanwhile the board keeps asking the same question: can you defend these numbers?

Every number below survived an audit.

Exhibit A — the numbers that don’t match

(every team has one of these)

Cloud security platform (same engagement, anonymized)

Legacy BI to dbt Migration: 377 Objects to 51 Models

How we migrated legacy BI to dbt: 377 objects to 51 models in 45 days, 606% Year 1 ROI, 86% less complexity, 24–48× faster deployments.

Same engagement as the $84M revenue validation — one body of work, two operations measured separately.

Read the full case →
377 → 51
legacy BI objects to dbt models
606%
Year 1 ROI
86%
complexity reduction
24–48×
faster deployments, hard 45-day deadline hit

Grupo AFAL (Carl’s Jr Mexico franchise, 100+ locations)

Modern Data Foundation for Restaurant Franchise (Carl’s Jr / AFAL)

Enterprise data infrastructure from scratch — single source of truth across 100+ Carl’s Jr locations with real-time supply chain visibility.

Read the full case →
100+
locations on a single source of truth
Oracle EBS → Snowflake
migrated, with dbt + Tableau on top
Real-time
supply chain visibility for executives

Cloud security platform (Global SaaS, anonymized)

Revenue Analytics Rebuilt: $84M Validated, 5 Years of Pricing Debt Resolved

Rebuilt a cloud security platform’s revenue analytics — validating $84M to 0.002% accuracy, fixing 15 silent bugs, giving Finance direct control of pricing with no engineering tickets.

This engagement also included a full analytics platform modernization — read that half of the story below.

Read the full case →
$84M
revenue rebuilt and validated to the dollar
0.002%
revenue variance vs. source — 5× tighter than the engagement’s target
15
silent production bugs found
$472K
undocumented rate anomaly uncovered

How we prove a number

  • Variance is the gap between our rebuilt revenue figures and the client’s own source system.
  • The SaaS figures, the ROI and the variance, are the client’s own, stated in writing by its Finance leadership.
  • The franchise figures come from Grupo AFAL’s Director of Digital Transformation, in a signed testimonial.
  • The limit: the SaaS client is under NDA, so you can’t call them. Its numbers rest on that written statement, which we quote exactly.

“Clarivant built our data foundation from scratch.”

Federico Gonzalez Lutteroth Director of Digital Transformation, Grupo AFAL (Carl’s Jr) ✓ quoted verbatim

“Engineering excellence under an impossible timeline.”

Finance & Analytics Leadership Team Directors of Finance & Product Analytics, Global SaaS Company (anonymized) ✓ quoted verbatim

Two of the names

  • Grupo AFAL
  • Carl's Jr

The SaaS engagement is shown anonymized, under NDA. Grupo AFAL / Carl’s Jr is named, with a signed testimonial.

See all work →

Deep in restaurants & franchise, SaaS, and retail. See industries →

Who does the work?

The person on the call does the work.

Arturo Cárdenas scopes and delivers every engagement, backed by a small senior network. Never juniors handed the account.

From P&G’s supply chain to eBay’s M&A integrations to today’s client engagements — the same standard at every step, labeled honestly: career work as career, client work as client.

“The problem is rarely too little data — it’s the gap between having it and acting on it.”
Meet the founder and the track record →
Arturo Cárdenas, founder of Clarivant
Arturo Cárdenas Founder & Principal

How do we start?

Start small. Each step stands on its own.

  1. The call

    30 minutes

    Direct with the founder. Bring your messiest data question; leave with a straight answer about whether and how we’d fix it.

  2. Data Stack Diagnostic

    2–3 weeks

    Inside your actual systems, not a workshop about them. You get findings you can verify against source, a roadmap, and a fixed-price quote for the build. Stop here and you keep a roadmap any team can execute.

  3. Modernization Sprint

    6–14 weeks

    Fixed scope, fixed date. Legacy BI migrated to a governed stack, dashboards rebuilt, a semantic layer ready for AI. Working software every week, numbers validated to the decimal, full handover.

  4. Fractional Data & AI Partner

    Monthly

    Optional, after a sprint. We run and extend the stack with a capped number of senior hours a month. Offered only to teams we have already delivered for.

The diagnostic fee is 100% credited toward the build if you start within 60 days. Teams with a hard deadline can start at the sprint, with the diagnostic as its first phase. Every build is quoted at a fixed price, after the diagnostic.

See the services in detail →

Is the AI real?

AI on data you already trust.

LLMs answering business questions on your own governed data: semantic layer, guardrails, and implementation — delivered at both a 100+ location franchise and a global SaaS, measured on business results, never on demos.

Healthcare provider (anonymized)

Survey-to-AI Pipeline for Patient Insights

>90% AI classification accuracy, validated vs. hand-coded responses

The limit: it isn’t perfect. Low-confidence answers go to a person, and their corrections feed back into the prompts.

Read the AI case →

What if it goes wrong?

The risk sits with us, not you.

Stop after the diagnostic

If the diagnostic says don’t build, or you’d rather build with someone else, you keep the roadmap. No lock-in from the first step.

Board-ready by construction

Every figure is validated against your source systems before anything ships. Same standard as the revenue case above.

You keep the keys

Everything we build is yours — in your stack, documented, version-controlled, no proprietary dependencies. No consultant-only login, no black box, no support contract to keep it running after we leave. If we vanished tomorrow your team keeps going — we build so no single person, us included, is a point of failure.

SIGNATURE PAGE · countersign this file

Bring us the data nobody trusts.

The strategy call is direct with the founder. We take the engagements we can lead end to end — which means we turn some down.

Book the call — and we'll defend these numbers on the record.

0.002% revenue variance on the $84M rebuild — every dollar reconciled to source
Book a 30-min strategy call

30 minutes with the founder, no pitch. You leave knowing whether your problem needs a diagnostic, and what it would cover.

Not ready to book? Write to us: [email protected] A straight answer within one business day. Or read the questions buyers ask us →