EQ-Seer connects and reads your plant data, then puts your operators' intuition on top of it. Problems get caught while they're forming, and the fix that worked is there the next time they show up.
Most plants already have the data. It just lives in systems that don't talk to each other, and the reasoning that ties it together sits with a few people who know the line by feel.
Control systems, historians, ERP, quality, CMMS and batch records each hold a piece of the story. Nobody sees the whole run at once.
Two or three long-tenured people know why the line really behaves the way it does. When they take a day off, or retire, that reasoning leaves with them.
A small drift becomes scrap or downtime before anyone connects the readings. The post-mortem happens after the line is already stopped.
One loop that gets sharper every time a problem comes back.
Control systems, historians, ERP, quality, CMMS, batch records and documentation come into one live picture of the line.
EQ-Seer builds a picture of what "good" looks like from the plant's own history — the readings that come with product that ships.
Live output is compared to that profile. Equipment and process deviations surface while there's still time to act.
Operators and techs see the likely cause next to what has actually fixed it before on that asset.
The tech records the new fix at the machine — voice, video, photo or a note — tagged to the asset and symptom, marked whether it worked.
The same live truth about the plant, read the way each role needs to read it, from the machine to the boardroom.
Operators and technicians get the likely cause and the fix that worked last time, right at the machine — then capture the new fix in seconds without leaving the job.
Compare live batches against a known-good profile built from your own history, and trace every deviation back to the parameter and asset behind it.
Technicians see the likely cause and the repairs that actually worked on that asset, then log the new fix where the work happens so the next person isn't starting from scratch.
Watch scrap, downtime, MTTR and repeat failures in one place, and give every shift the reasoning that lives with your two or three most experienced people today.
The expertise that usually walks out the door at retirement becomes an asset that stays: across shifts, across sites, and through every change in the crew.
Structured signals and unstructured documents land in one graph, tied to the assets that generate them. Every node is a real document, defect, part, procedure or parameter. Every edge is a link your plant couldn't see before.
EQ-Seer watches live output against the profile of a good run and surfaces equipment and process deviations before they turn into scrap or downtime. When something breaks, the likely cause shows up next to the fixes that have worked on that exact asset.
At the machine, a tech records what they did the way that's quickest: a voice memo, a short video, a photo, or a note. EQ-Seer files it to the asset and symptom and marks whether it actually worked. Ask Bob in plain language and get the answer back, sourced from your own plant.
EQ-Seer reads from the systems on your floor. No rip-and-replace, read-only by default, and you can start on a single line.
EQ-Seer is built to sit inside an OT environment without asking you to loosen it.
EQ-Seer reads from your systems and never writes back to control.
Cloud, private cloud, or on-prem / edge for restricted networks.
Full tenant isolation: each plant's knowledge graph is isolated and individualized to that plant, never pooled with another customer's.
Role-based access, SSO / SAML, and an audit trail on every action.
Our SOC 2 Type II examination is underway. Ask for our current security package and status.
Bring a line and a problem you already know. We connect a slice of your data, agree on one number to move, and show you what the graph sees in a couple of weeks.