Your CRM never says “we don’t know.”
gtminfra reads an account’s reality, keeps receipts, and hands your reps the pitch a founder would give.
Evidence keeps its receipt.
One page per account: CRM context on top, then a hard wall between what we can prove and what we think.
Your reps don’t speak the buyer’s language. Fine.
Whatever you sell, every term on an account page explains itself where it stands.
“Silver Health serves on inside a , and their workloads are .”
Four rules, enforced by design.
Everything the system does falls out of these. All four are running in this section. Try them.
Evidence and judgment never share a sentence.
Verifiable facts with sources on one side, labelled opinion on the other. The wall is structural, not stylistic.
Unrecognized defaults to noise.
Every string maps through a canon into signal, context, or noise. Anything unrecognized is noise. The canon fails closed.
Every claim shows its trail.
A brief is only as good as where it came from. Open any claim and the sources fan out: the call, the blog, the deal.
- calldiscovery call, their platform lead
- blogtheir post on the migration
- crmopen deal, stage 2 notes
The artifact is the deliverable.
Every run rebuilds the persistent, searchable brief. The database is the record; the rendered page is derived and safe to delete.
An agent digs between syncs.
Connect your stack once. Every few hours a run re-reads everything and rebuilds each account page.
The product, recorded.
Four and a half minutes, one account, start to finish. Loads only when you click.
Questions,with receipts.
Everything worth knowing before you point it at your own accounts.
Book a demo ↗My reps aren’t technical. Isn’t that the problem?
That is the product. Every technical term on an account page explains itself in place, and the assessment is written in sales language: qualification, likely pain, pitch angle, who to contact. The fluency lives in the layer, not in the rep’s head, so the weeks a new rep spends learning to sound credible mostly disappear.
Where does the data come from?
The honest answer: whatever you connect, and nothing else. Your CRM, call notes, email threads, and the public trail an account leaves: engineering blogs, careers pages, docs. Connectors and sync schedules are yours to configure, and every claim keeps a link back to its source.
Why does it say “unknown” so much?
Because the canon fails closed. Anything it cannot verify or recognize is either noise or unknown, never silently promoted to signal. Most enrichment tools optimize for a full-looking record. We think an honest gap is worth more than a confident guess, and reps who have been burned by bad data tend to agree.
Does it replace my CRM?
No. It reads your CRM and sits underneath it. The pipeline, stages, and reports stay where they are; gtminfra is the layer that tells you what is actually known about each record, so a rep opens one page before a call instead of ten tabs.
Is this only for AI companies?
No, twice over. It does not serve models or watch latency; it reads those signals in your buyers’ world. And AI infrastructure is just the first use case it ran against: the categories, the canon, and the assessment are defined by whatever you sell. Any product with a technical buyer works the same way.
Has this actually run?
Yes. The design documents a system that ran inside a company selling AI inference infrastructure: about 1,650 accounts, 3,800 contacts, 2,000 infrastructure signals, and 180+ call transcripts. The build pack includes the failure register from that run, because the mistakes are the most useful part.