The reasoning engine for your organization.

Romb understands how your organization makes sense of a problem, works it through, and decides. Then it reasons with you, from work your teams have already done.

Book a demoSee how it works

Example. Asked: should we run the spring promo again? Romb reasons across what Growth, Pricing and Finance have already worked out and answers: yes, with the price phased back in, because last spring's cohort left at the first full-price bill. Each source is cited.

Not long ago, data was a by-product of doing business. Then companies gave it infrastructure, a discipline, and a chief officer.

What teams learn from that data is worth even more, and it never got the same treatment. The findings, the reasons behind each decision, the way each problem was worked through: they still live in threads, decks, and the heads of whoever was in the room.

Romb is the infrastructure for it. An engine that learns how your organization reasons, and puts that reasoning to work for everyone, and everything, that needs it.

how it works

Every answer starts as someone's work.

The first answer on this page cited Growth, Sep 18. That day, Priya Shah finished two weeks of work on why retention dipped: the answer posted in a thread, the ticket closed, the notebook saved.

In most organizations, this is where it ends.

Finish the work. Romb does the rest.

No write-up, no form. Romb notices the work is done and drafts the insight from it: the thread, the ticket, the notebook. Priya reads the draft and confirms.

Now it has depth.

Every insight keeps three things together.

what
The Q3 retention dip came from the spring promo cohort.
why
They reached their first full-price bill in July. No other cohort moved.
how
Cohorts by signup month, split by channel, reactivations excluded.

Most tools keep the what, at best. Romb keeps all three, so the next person inherits the reasoning, not only the result.

Then it takes its place.

One point in the record of what your teams have worked out. The same thing is happening wherever work gets finished: a ticket closes, a test reads out, a thread lands on an answer.

Romb also reads back through work that is already done, so the record is full from the first week.

Connected to everything it touches.

Each insight is linked to what it builds on, what it replaced, and where another team saw it differently. What forms is more than a store of findings. It is how your organization reasons: what it checks first, which approaches hold up, where judgment was needed.

  • what was learned
  • what was decided
  • the approach that got there
  • how one bears on another

Above it, a system of agents.

They work around the clock, so the reasoning is ready before the question is. People confirm what goes in.

Your company's best thinking, in every seat.

Romb answers where the question comes up: in the channel, in the brief, before the meeting, as new work starts. What comes back depends on what the moment needs.

productsix weeks later
DK

Dana Kowalski

Has anyone looked at why retention dipped in Q3? Board prep is Thursday.

Rombapponly visible to you

Yes. Growth traced it to the spring promo cohort reaching its first full-price bill in July. No other cohort moved.

  • Q3 retention dipPriya Shah, Sep 18
  • Decided: model promo cohorts separatelyGrowth, Sep 22
  • Promo cohort analysisapproach, used four times

See the reasoningShare in the channel

Message #product

Ask RombHelen Park, COO

Why is enterprise churn up when the Q2 pricing fix worked?

The reasoningacross three teams

because
The fix cleared up tier confusion for new contracts only.
Pricing, May 30
and
Renewals signed before May still carry the old tiers.
Sales Ops, Jun 12
but
The confusion comes from two of those tiers, not all five.
Support, Jun 30
so
The fix worked where it applied. Extending it to those two tiers at renewal is the open decision.

Which two tiers?Who owns the decision?Show the renewals at risk

InboxMonday, 8:00 AM

Rombto Lena Ortiz, Growth

Monday brief: three things for Growth this week

new this week, not yet worked on

Activation in EMEA fell 9%.

Three hypothesesranked by what caused it before

1
A step added to onboarding on the 14th.The cause in 3 of 7 past drops.
2
The payment provider change in two markets.Flagged by Finance on Sep 30.
3
School holidays.Ruled out twice before.

First check: cohorts by signup date. The approach that settled it last time.

  • Spring promo: the price step-up decision is due Friday
  • Pricing and Support read the tier confusion differently
STRAT-118To doTomás Rivera, Strategy

Forecast demand for the Denver launch

Size weeks one to eight for both Denver zones.

opened
just now
due
Oct 30
labels
launch, forecast

Before you startthe approach that held up

Austin launch playbook

1
Start from comparable cities, not the national average.py
comps = similar_cities("Denver", k=3)
base = demand.loc[comps].groupby("week").mean()
2
Count reactivations separately. They get counted twice.sql
select week, is_new, count(*) as customers
from orders
group by week, is_new  -- reactivated apart
3
Trust week four over week one.py
# week one runs hot on the launch promo
fit = model.fit(base[base.week >= 4])

Used four times. Last by Marcus Lee, Aug 4.

Answers are just the beginning.

Asking is the smallest thing you can do with a reasoning engine.

  • It starts before you ask.A pattern emerging across teams. A gap in what is known. A number about to move. It forms the hypotheses before anyone asks the question.
  • It executes complex work, end to end.It constructs the methodology from the context, approaches and playbooks your teams have already built, carries it out, and verifies the result. Where it is not certain, it stops and asks.
  • It is where agents come to reason.Build your own on it. Bring the rest. Every agent then reasons from the same ground, and writes back what it learns.

Book a demo to see this in person.

Your teams stop starting over.

The CEO asks why enterprise churn increased. Most of the answer already exists, scattered across teams and tools.

Already answered, synthesized from your teams' work, every claim sourced.

A new hire spends months relearning what the organization already knows.

They start with the full picture of what has been worked out, and how.

Your best analyst leaves, and two years of judgment leave with them.

The judgment stays, and keeps working for everyone who comes after.

Reasoning, not retrieval.

enterprise search

Finds the document you searched for.

Romb connects it to everything related, and answers from what your teams have confirmed.

semantic layer

Standardizes what your metrics mean.

Romb captures the reasoning built on top of them: what was learned, why, and how.

connected AI

Reasons over whatever it can reach, raw and unvetted, from scratch each time.

Romb becomes the trusted layer agents reason from.

They retrieve, define and connect. Only Romb captures the reasoning your organization already produced, and reasons with it.

The questions we hear on every first call, answered plainly.Read the FAQ

See it reason.

Thirty minutes, live, on the kind of questions your teams work through.

Or meet us at CDAO Fall in Boston, October 26 and 27.

Book a demo