About
The people who make the numbers trustworthy are hard to find and expensive to keep, at any size.
A good analytics or AI engineer costs roughly $200k, takes months to find, and leaves with the definitions in their head. So the budget goes to a tool instead, and then the tools disagree. Meridian is a small group of those people, working inside your accounts month to month, for the brands that can't justify the hire yet and the ones whose one data person is covering four jobs.
Engagement shape
Month to month, from a few thousand a month
Who does the work
Senior US and LATAM team, embedded in your channels
What you own
Every model, dashboard, definition, and AI skill, in your repo
Reseller relationships
None. We have nothing to place.
Month to month means we re-earn the work every month.
The options
Three questions worth asking whoever you're about to hire.
Option
Who owns the definitions?
Who actually does the work?
What does the price move with?
Analytics platform
They do
You, inside their templates
Your revenue
Enterprise agency
You, after the SOW
Juniors, after a senior sells it
Hours, with a high minimum
In-house hire
That person, until they leave
One person, four jobs
Headcount
Meridian
You, in your repo
The senior people who scoped it
Scope, not revenue
What we believe
Technology fails where business understanding is missing. So we staff the understanding.
How we work
We start with one gap, priced small enough that hiring us is not a decision anybody has to defend
Concierge, not self-serve. We bring the answer and absorb the complexity, even with AI in the loop
We stay past the handoff, because definitions drift and unmaintained systems degrade quietly
Everything we build becomes yours, so the work survives us parting ways
What we are not
Not a platform. We make sense of the tools you already have, and tell you when a better one is worth it
Not senior faces selling work that junior staff deliver
Not a body shop closing tickets with nobody owning whether the numbers are right
Not a reseller. If you already own something adequate, we will say so
Meridian is built in the gap between the people who run the business and everything that holds its data.
Being useful is the only thing keeping us around, as everything we build runs in your stack, under your name.
The team
Principals do the work. That is the whole model.
There is no layer beneath us that you have not met. Our sharpest playbooks are in consumer, subscription, and marketplace businesses, and the same people have run data programs in pharma, banking, media, utilities, and biometric identity.
Where our people worked before Meridian
Apple
JP Morgan
Genentech
Accenture
PwC
Citibank
UBS
PG&E
WME
Clear
CookUnity
David Yurman
Deel
Despegar
Tommy John
Sam Gil
Principal, Growth & Analytics
Previously: CookUnity, Accenture, Tommy John.
12 years turning analytics into decisions at consumer and marketplace businesses.
Focused on measurement people can act on, and on stopping confident decisions off noisy data.
Adi Ray
Principal, Enterprise Data & Security
Previously: Genentech, WME, David Yurman.
CISSP, MBA, with 20+ years in data security, governance, and enterprise architecture.
Has run multi-billion-dollar data programs across DTC, media, and healthcare.
DJ Mahadevan
Principal, Data Architecture
Previously: Apple, PwC, PG&E.
25+ years architecting mission-critical, petabyte-scale data platforms.
For Fortune 50 companies and venture-backed scale-ups.
Mati Delgo
Delivery Lead, LATAM
Previously: CookUnity, Despegar.
A decade scaling data operations for high-growth technology companies.
Runs delivery, which in practice means finding the resubmitted survey in week two.
Teams we've worked with
Fashion & Apparel | Wholesale
Food & Beverage | Licensing
Home & Kitchen | Omnichannel
Food Marketplace | SaaS
Autonomous Vehicles
Fintech | Financial Services
Health & Fitness | SaaS
Luxury Camper Vans | DTC
Maternity Apparel | DTC
Apparel & Fashion | DTC
Fashion & Apparel | Wholesale
Food & Beverage | Licensing
Home & Kitchen | Omnichannel
Food Marketplace | SaaS
Autonomous Vehicles
Fintech | Financial Services
Health & Fitness | SaaS
Luxury Camper Vans | DTC
Maternity Apparel | DTC
Apparel & Fashion | DTC
Fashion & Apparel | Wholesale
Food & Beverage | Licensing
Home & Kitchen | Omnichannel
Food Marketplace | SaaS
Autonomous Vehicles
Fintech | Financial Services
Health & Fitness | SaaS
Luxury Camper Vans | DTC
Maternity Apparel | DTC
Apparel & Fashion | DTC
Fashion & Apparel | Wholesale
Food & Beverage | Licensing
Home & Kitchen | Omnichannel
Food Marketplace | SaaS
Autonomous Vehicles
Fintech | Financial Services
Health & Fitness | SaaS
Luxury Camper Vans | DTC
Maternity Apparel | DTC
Apparel & Fashion | DTC
Fashion & Apparel | Wholesale
Food & Beverage | Licensing
Home & Kitchen | Omnichannel
Food Marketplace | SaaS
Autonomous Vehicles
Fintech | Financial Services
Health & Fitness | SaaS
Luxury Camper Vans | DTC
Maternity Apparel | DTC
Apparel & Fashion | DTC
Fashion & Apparel | Wholesale
Food & Beverage | Licensing
Home & Kitchen | Omnichannel
Food Marketplace | SaaS
Autonomous Vehicles
Fintech | Financial Services
Health & Fitness | SaaS
Luxury Camper Vans | DTC
Maternity Apparel | DTC
Apparel & Fashion | DTC
Get in touch.
Tell us what you are trying to figure out. If we can help, we will say how. If we are not the right fit, we will say that too, and point you somewhere better.
01
Free work first
We start by doing a real piece of work on your data, free, so the first thing you judge is output, not a pitch.
02
First build, fixed scope
One piece of work at a fixed price, scoped to a few weeks: a metric layer, a tracking plan, one agent or one pipeline, whichever gap you came with. Small enough to be safe, real enough to matter.
03
Scale when it earns it
Month to month from there, from a few thousand a month. You own every model, dashboard and definition.