About
Most data setups deliver the basics. The edge is the hard part.
Meridian exists for that gap: people who understand the business side and the data and AI world, who come in alongside your data team or as it, and raise the whole thing past tool drift and day-to-day triage to where the numbers are an advantage.
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.
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
A trusted core metric layer in weeks, not quarters, at a fixed price. 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.