OmnentisAutomation consulting · San Diego
Automation for the work nobody should still be doing by hand.
The report rebuilt from scratch every month. The dashboard nobody quite trusts. The inbox that never ends. The PDFs there is never time to read. We build the thing that handles them, and it runs where you want it — on your servers, or on ours.
No pitch and no slides. We ask questions about how your work actually gets done, and you find out whether this is worth doing.
How the checking works
Everything the system pulls out gets a confidence score. Anything that lands below the line you set doesn’t get quietly guessed at — it gets flagged and sent to a person. Move the line up and fewer mistakes get through, and more of somebody’s day goes to checking. Drag it and see.
- 65kept automatically
- 23sent to a person to check
- 98%right, once those are checked
- 12 minof checking, across 6 documents
An illustration of the process, not results from any project: 88 invented sample items across 6 documents, 6 of them wrong on purpose — which is why it scores 93% on its own with the line at the bottom. One check is counted at 30 seconds, and anything a person checks counts as put right. Real numbers come from testing against your own documents.
In their words
“During his time with CCHDO group at Scripps Institution of Oceanography, Noah developed an AI-assisted metadata extraction workflow for scientific cruise reports and helped move it from prototype development toward production use. His work was validated against manual extraction and demonstrated that the workflow could process our report reliably while substantially reducing the amount of manual effort required.”
One real project, described in detail.
We built a workflow for Scripps Institution of Oceanography that reads very long research cruise reports and indexes them, so somebody can search them accurately instead of reading end to end.
The write-up says what it does, how it was checked and what it runs on. Where a figure isn’t confirmed yet, the page says so rather than rounding one up.
Start here
How could we help you?
Pick the one that sounds most like your week. Each goes straight to the part of the next page that describes it.
- Somebody has to read the whole report to find the ten things in it that matter.
- The same report gets rebuilt by hand every month.
- Nobody trusts the dashboard, because nobody knows when it was last updated.
- The inbox eats an hour a day and none of it needs judgment.
- The data we need is on a website and there is no way to export it.
- Two systems hold the same information and neither one agrees.
- We paid for an automation once and it stopped working.
Why this exists
Most of the week goes to work a machine should have handled.
Copying numbers out of a PDF into a spreadsheet. Rebuilding the same report because the source data moved. Scrubbing back through a recording to find who said the thing about the drainage. Retyping a table that already existed as a table somewhere else.
None of that is the job anyone was hired for. It is the tax on the job — and it lands hardest on the people who are best at the part that actually needs a person.
The point of this company is to give that time back. Not to replace the judgment, the writing or the sign-off. To clear the hours in front of them.
The person who knows which task eats the most hours.
Organizations of roughly ten to two hundred people with a lot of recurring manual work inside them. Usually we end up talking to an operations manager or a project manager — the person who knows exactly which task eats the most hours every month and has never had a good option for it.
It tends to fit environmental and land-use consulting, research institutions, and engineering and professional services firms, because that is where long documents, recurring deliverables and data that can’t leave the building all show up in the same week.
If your IT or compliance people have already turned down a cloud tool, that’s a normal starting point here rather than a problem. It’s most of the reason this is built the way it is.
Why this is different
Three things most vendors won’t put in writing.
It runs where you want it
Everything is containerized. If you have a server, a machine in a closet, or a private cloud account you already trust, that's where it goes — it installs inside your environment and your files never leave it. Most automation tools are cloud software, which is why plenty of firms have already heard “no” from their own IT or compliance people.
And if you'd rather not run it, we host it for you. Plenty of organizations have no server and no IT team, and “go and build somewhere to put it first” is a poor answer to a report that eats three days a month. Same software either way, so the choice is reversible: moving it onto your own hardware later is a deployment, not a rebuild.
You get to see how accurate it is
Before anything goes live we build a test set: real documents from your work, with the correct answers filled in by hand. Then we measure the system against it and show you what it scored, whatever that number turns out to be.
Anything the system isn't confident about gets flagged and routed to a person instead of quietly guessed at, and you decide where that line sits. Most vendors can't answer “how do I know it's right?” with much beyond a demo that went well.
It's built to keep working
Something that runs once in a demo isn't finished. It's finished when it survives an expired token, an API that starts returning something slightly different, and a Tuesday when nobody's watching.
In practice that means real error handling, logs a person can actually read, and a message to a human when something needs attention — rather than silence and a gap in your data that somebody finds two months later.
Worth a conversation?
Twenty minutes, and you’ll know whether there’s anything here for you. If the honest answer is that a change to your process fixes it and you don’t need us, we’ll tell you that.