Stop foodborne outbreaks before they happen.
Lumina is Factory Intelligence for the plant floor. Sensors placed where risk is highest continuously monitor critical surfaces and equipment. From pathogens and contamination to the first signs of a failing seal, the platform identifies problems in milliseconds and alerts the right people, so they can act before production is disrupted.
Continuous
Hundreds of samples per hour, around the clock, not periodic spot checks.
Instant
Risk signatures flagged in milliseconds, before contamination reaches Zone 1.
Pathogen-aware
Detect the specific pathogens, rather than simply identifying contaminated surfaces.
Audit-ready
Pathogen detections, swabbing data, and sanitation records all in one system.
01 · The status quo
Every failure on a line starts small: a colony, a residue, a drifting reading. Today’s plants catch them late, on paper, or not at all.
- 01
Limited coverage
Swabs, gauge checks, and walk-throughs reach a fraction of the surfaces and equipment where problems start.
- 02
The three-day blind spot
Culture takes 3–5 days. Between swabs, the surfaces of a running line are effectively dark.
- 03
Reactive response
Teams investigate after the fact, when the chain is already compromised.
- 04
Operational fallout
Downtime, holds, rework, waste, and recall exposure compound across sites.
- 05
Fragmented data
Handwritten logs and disconnected systems obscure patterns.
More swabs won’t fix a broken system.
We need a system built for prevention.
The moment
Oversight moved onto your surfaces.
Since January 2025, FSIS tests for all Listeria species, not just L. monocytogenes: on product, food-contact, and environmental surfaces. A positive is treated as evidence the sanitation program is not preventing the conditions where Lm takes hold, and it carries a corrective-action obligation.
More organisms, on more surfaces, means more positives. Every positive means an investigation, a corrective action, and a documented record.
The timeline, with primary sources02 · How it works
From invisible risk to operational signal, in four moves.
- Step 01
Compact Sensors
Mounted where risk is highest, compact sensors scan surfaces and equipment continuously while production runs.
- Step 02
Instant Identification
Every signal is matched against known issue signatures: a pathogen fingerprint, allergen carryover, dirty wash water, environmental readings that disagree, a machine that drops offline. All of it flagged in milliseconds, not days.
- Step 03
Immediate Action
The right people receive immediate notifications across channels they already use, with full event context.
- Step 04
Digital Workflows
Detections, sensor readings, swabbing data, and sanitation records become structured data feeding SOP triggers, verifications, and compliance exports.
Continuous sensing points your program at the right surface. It does not replace the confirmatory laboratory testing your regulatory framework requires, and it is not a release criterion. Your verification program keeps running exactly as it does now. How we draw that line.
03 · The engine
Continuous detection, the new gold standard.
A line-side camera reads a full spectrum off your surfaces, flagging risk signatures in milliseconds: what a swab finds days later, and a human eye never. Because it watches continuously, a rising signature is caught as it forms rather than after a culture comes back.
The same pipeline carries every signal: a pathogen signature, a drifting temperature, wash water failing spec, a machine that drops offline. Each new sensor type inherits the alerting, the issues, and the records the moment it comes online.
Spectral signatures are specific. The aim is to point sanitation at real risk, not to stop clean product. See the science this is built on.
04 · The math
A category measured in recalls, holds, and lost days.
11%
of annual revenue: what the world’s largest manufacturers lose to unplanned stoppages.
$10M+
with a quarter of recalls exceeding $30M in direct cost.
20%+
of consumers abandon a brand after a food safety incident
1,600
listeriosis cases and 260 deaths in the United States, almost all traced to contaminated ready-to-eat product.
Downtime and recall figures are industry estimates and vary widely by category, plant, and recall class, so treat them as an order of magnitude, not a quote. Downtime figure: Siemens, The True Cost of Downtime, 2022. Consumer-response figure: Jin & Pokhrel, 2016. Listeriosis incidence: US Centers for Disease Control and Prevention.
05 · Operator voices
The people who run these plants are describing the system we are building.
If we’re able to get data real-time, that’s a game changer. Not just for food, for the entire manufacturing industry. I think the value you can bring is early detection.
Moving from swab and contact-plate programs to a fuller picture will be an eye opener.
We’re wasting money for the worst-case scenario. If real-time feedback could lower overall concentrations, we could target intervention only where it’s actually needed.
06 · The platform
Everything the plant knows, in one system.
Sensors, lab reports, corrective action, and the documents that govern all of it have always lived in separate systems. That separation is why a problem found on a surface takes days to become a decision. Lumina is the layer where it stops being separate.
A live floor map of every sensor and zone. Lab PDFs parsed into structured results the moment they land. Issues that open themselves with the corrective action already drafted. Answers cited to your own SOPs. And an audit trail that writes itself as it happens.