Operating intelligence for manufacturers

The truth about your operation, around the clock.

An analyst, a data scientist and a project manager that never go home. VERUS watches your ERP, maintenance, HR and CRM data all day, every day, finds what’s going wrong and where the money is, and keeps the fixes on track.

Watch the two-minute tour Ask for a demonstration

Good morning! Here’s what I found.

VERUS found

ScrapWork center HB03: $24,421 in scrap in March, against a usual $10,705.
On timeFour customers below 85% on time last week. One at 33%.
CustomerThe largest customer: no call, visit or email in 107 days.

On the demonstration group, before anyone asked a question.

Read-only

It cannot change your systems.

The details +

There is no way in the software to write back to your systems. It is not a setting someone can turn on.

Inside your network

Your data stays on your machine.

The details +

VERUS runs on one machine inside your network. People see what their job needs: a plant manager sees their plant, an owner sees every company. Nobody sees a named employee: headcount, turnover and absence show as counts and rates.

AI optional

Turn it off and it all still runs.

The details +

You choose the provider. The model is used to map a new system, to answer questions typed in your own words, and to build an agent from a sentence. When mapping, it sees table and column names, counts, and masked samples: numbers rounded into ranges, text reduced to its shape, anything personal removed, and sensitive columns such as pay never sent. When answering, it sees the rows of that one answer. Turn it off and nothing leaves; the dashboards, the watches and the morning brief all keep working. Your definitions, codes and rules stay on your machine whichever provider you use.

Shows its work

Every number says where it came from.

The details +

Every number comes with where it came from, how it was calculated and how current it is. When the data behind a number can't be trusted, the number says so. The everyday measures run on definitions your people confirm: in our tests across five systems, 173 of 173 questions answered that way came back right. Questions typed in your own words lean on an AI model and are not as reliable yet; the evidence page gives the numbers.

What it does

Three jobs, done all day, every day

It does the reporting your people build by hand today, and points at the processes that need fixing. No new system to feed.

The analyst

Does the daily reporting, so nobody has to build it.

The details +

Yesterday's numbers by line and department, against the same day last week, on one page every morning.
Dashboards for each job: the plant manager's plant, the owner's companies side by side.
Plain answers to questions, with the number, how it was calculated and how current the data is.
Your own documents searched too: the quality manual answers, with the page it came from.

The data scientist

Watches everything, all day and all night, for what has changed.

The details +

Every line, machine, customer and supplier watched for spikes, slow drifts and early warnings.
Before a watch is switched on, it is tested against the past year, so you see what it would have caught.
Need to dig deeper? Build your own agent in one sentence, run it once or on a schedule, and share it with your team.
Bad data called out: catch-all reason codes, promise dates changed after shipping.
Findings ranked by what they cost in dollars where that can be measured, with outside prices such as steel and resin brought in where they touch your costs.

The project manager

Keeps the fixes on track until they are done.

The details +

A finding becomes a plan with steps, owners and due dates.
The plan carries the measure it will be judged by, taken when the plan is accepted.
On the review date it measures again and says whether the plan worked.
Open plans show up in the morning brief until they are closed.

What it catches

Found before anyone asked a question

On the demonstration group: two manufacturers, three years of records. Two of these are problems in the data itself, which sit under every report built on it. VERUS calls those out first.

$24,421

in scrap at one work center in March, against a usual $10,705

33%

on time for one customer last week; four customers were below 85%

107 days

since anyone called, visited or emailed the largest customer at one company

1,252

order lines whose promise date was moved to the ship date after shipping, so on time looked better than it was

50%

of all downtime booked to one catch-all reason code, so the breakdown by reason means little

1 month

raised in a year by the scrap-against-steel agent: the one the market didn't explain

See it

Two minutes inside the real product

Told by VERUS himself: a plant manager’s morning, an agent described in one sentence, and the owner’s view.

Or meet VERUS in a one-minute film.

Take a closer look. These are the real screens.

Yesterday, what crossed a line, and the plans under way, on one page before the first meeting.

Less work, not more

Manage by exception, not by meeting

Only what crossed a line

VERUS watches every number all day and brings you only what crossed a line: a spike, a slip, a big customer gone quiet. Everything else needs no meeting to review.

No data project

It reads the systems you already have, where they are. Nothing to move, nothing new to feed, no data entry.

It finds the broken processes

Promise dates changed after shipping, a catch-all reason code, one shift coding scrap its own way. Fix the process, not the report.

The outside world, every morning

Prices for your key materials, industrial production, energy, rates and the trade news that names your materials, customers or competitors. It separates what the market did from what you did.

The details +

From public sources: producer prices, Federal Reserve industrial production, energy and diesel prices, employment, central bank decisions and exchange rates, and trade and government news. A starter agent watches scrap cost on every work center against steel prices: it stays quiet when the market explains the move, and speaks up when it doesn't. On the demonstration, steel mill products rose 1.7% in August and plastic resins fell 1.0%, and both showed up in the plant manager's brief.

Setting it up

Up and running without a data project

I work out the rest myself. I only ask what I can’t.

Connect

Give it the address and a read-only login. ERP, MES, maintenance, quality, warehouse, HR, CRM, your data warehouse, spreadsheets: if it has a database, an API or exports files, VERUS can read it.

It maps itself

It works out your tables and codes, and already knows how many common products store their records.

A few yes-or-no questions

Where it isn't sure, it asks your people. A maintenance system took five.

It keeps itself current

Installed on one machine in about six minutes. Fast-changing records pulled through the day, the rest overnight.

Who it’s for

Built for the people who run the plants and own them

Plant managers

Their plant only. Yesterday's numbers, the problems that need a decision, and the plans under way, without waiting on an analyst.

Operations leadership

Every plant on the same definitions, straight from the systems, with a warning wherever the data can't be trusted.

Owners and boards

Every company side by side, read from the systems rather than from a monthly pack, with problems flagged the week they start.

Situation by situation: the first 100 days after an acquisition, an add-on, a new leader’s first weeks, and more

Where it stands

VERUS is built, and ready for its first companies. It runs today on a demonstration group: two manufacturers, one in the United States with two plants and one in Canada, with three years of ERP records and HR, CRM and maintenance systems alongside. Several companies in one installation work today. One view across companies that each run their own installation is next, built with the first group that needs it. Every result we have measured is on the evidence page.