Infrastructure layerfor GTM

An evidence-first approach to GTM.

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RAW STRINGSmarket noise:
all the account's data

INTEL LAYERunified AI tooling,
wired to your SaaS

REASONING LAYERfilters 99% of noise,
keeps what you need

GATE CHECKScategorisation:
signal, context, noise

Your reps don’t speak the buyer’s language. Fine.

AI needs deep domain knowledge: every 3 months, that’s 50 new jargons to learn.

Make your reps fluent in what they sell. Every term on an account page explains itself, where it stands.

Rep hiring → first result10–12 weeks→4 weeks

“Silver Health serves on inside a , and their workloads are .”

See a real ai infra account page

Signals into a fireball.

gtminfra knows the technical pain point and acts as the translating layer for GTM teams. It helps sales turn raw signals into pipeline.

meridian-roboticscrm: open deal, stage 2, demo scheduled

blog.meridian-robotics.comraw source

Serving stack, Q3 notes We run self-hosted vLLM on spot GPU pools, and peak-hour serving cost is now the line item we watch most closely.

what it means for salesserving cost at scale is the live painconfirmed · written to the account page

Plugged into your stack.

Connected to the tools you already run. Every account is re-researched continuously. Hot deals refresh more often. Findings are written back into your tools, so reps never have to leave them.

HubSpothot · faster sync

Apollo

Clay

Sumble

Meet noteswrites back

Slack

$ researchmeridian-robotics syncing · live

How it works

01
Understand your ICP
We set it up for you, starting from a deep read of your ideal customer profile.
02
Map the market
We map your market from first principles: the categories, the canon, and what disqualifies.
03
Build your database
A structured database for your company, hosted on your own infra.

Like GitHub, but for sales.