Meridian embeds analytics leaders and engineers who make your stack tell one story your team and your AI can act on. No migrations or new platforms.
Concierge, not self-serve.
The ways brands usually get this done.
Platforms
Fast dashboards from templates. Breaks the moment your business doesn't fit the template.
Agencies
Headcount that closes tickets. No one owns whether the numbers are actually right.
In-house team
The right answer at scale. But it's four skill sets, not one, and each senior hire is slow, expensive, and a single point of failure.
Applied AI
Clean data still gives AI confidently wrong answers.
Trustworthy AI analytics comes from a governed layer of your business definitions, not a smarter chatbot. We build it on the stack you already own, you keep every asset, and we stay accountable for accuracy as your business changes.
No new platform | No lock-in | Your definitions, in your repo
21%
→
Answer accuracy, same AI model, before and after a governed definition layer
Anthropic internal results, 2026
In practice
What a normal week looks like.
Monday, 9:04am, in Slack
"Why did contribution margin dip last week?"
The driver breakdown, from governed definitions, before the coffee's done. No ticket, no analyst queue.
Mid board meeting
"What's repeat rate on the spring cohort?"
Answered live, and it matches the dashboard, because both read from the same definitions.
New hire, day one
"What counts as an active subscriber here?"
The answer is in code, versioned and tested. Not in a veteran's head or a stale wiki page.
Before committing the promo budget
"How much headroom is actually there?"
A forecast with the assumptions visible, so the debate is about the plan, not the numbers.
amp went from metrics nobody trusted to a growth equation the whole company could bet on.
Health & Fitness SaaS
Free audit
Found no reliable growth equation and metrics nobody trusted.
$4k fixed, 4 weeks
One trusted core metric layer: the growth equation, defined and tested.
Scope expands
Marketing, product, and ops reporting, added as the work earned it
Embedded partner
Now including governed AI self-serve, live in production.
amp grew from under $1M to $30M ARR in that year. Data maturity stayed ahead of the business the whole way, so the right bets got pressed early and wrong turns got caught before they got expensive.