Product
noombat follows every company you could sell to, files every dated move under the company that made it, scores each one against your definition of a good customer, and posts the companies worth a message today to the person who owns them.
How it works
Every company you could sell to, read daily from the public record and your tools.
Describe a good customer once. Every company is scored against it, wherever it sits.
Each dated move lands in the company's file. The clues say when to call.
Every morning: who is worth a message, why, and who to write to. In Slack or Teams.
What you get
Everything before the list exists to make the list right. Each screen is one question answered with a name and a date.
They read three pages and leave. This puts a company name on the visit.
The page they read, how long, where they came from, and how well the company fits.A name is not a lead. Every company that appears anywhere is scored against your definition.
Sector, size, geography, what is happening there: criterion by criterion, so the ones that do not fit stop taking up room.Every reaction is a person with a name, a role and an employer. We keep the ones who work at a company you want.
Your page and your leadership, your competitors' pages and their leadership; organic and paid.Twelve sites, three countries, one stock count. How a group went from five systems per site to one.
Which of them, and when. A dated event on the company's own timeline.
The public record, your website, your LinkedIn, your tools: eighteen kinds of line, in plain words.Your CRM, your website, your ads, your analytics, all read-only. The scoring learns how you sell.
What a closed deal looked like before it closed, which pages predict a conversation, who your spend reached. Nothing is written back.A short list of companies worth a message today, ranked, with the signals that put each one there.
Posted to Slack or Teams, to whoever owns the account, at 9:00. Nothing new to log into.The company file
Seven sources, one timeline per company, every line in the colour of what happened and tagged with where it was read. Open the example to see what a file holds after three months.
Reactions and comments, matched to a company.
Impressions and engagement, per company.
Who warms to them before calling you.
Name, role, employer, by company.
Registers, tenders, hiring, funding, press.
The company behind every visit.
HubSpot, Salesforce, Pipedrive, GA4, Slack, Teams.
What a line can be
Never a tool's name. Each kind has a colour, so a file reads at a glance.
For enterprise
Every connection reads. Nothing is written back to your CRM, your inbox or your ad accounts, and nobody on your team fills in a field.
A schema of your own, encrypted in transit and at rest, never shared with another customer, deleted when we part ways. Terms written for a security review, for teams in the EU and in the US.
Configured per customer: your countries, your sectors, your sources, the roles that buy. No generic intent score.
The list arrives in Slack or Teams; the file opens in the browser. Nothing new to log into, nothing new to learn.
Ask a question about your market in plain words and get an answer from your own data, with the lines it rests on.
Terms, a privacy policy and a data processing agreement, written for a security review.
Proof
Measured on one customer's own CRM, 2026. Read the case study
Thirty minutes on your market, your definition of a good customer, and what the first morning list would hold.