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Safer and healthier environments through complete UV-C disinfection.

AHE   is in the books.We spent a few days in New Orleans talking with teams and individuals about where autonomous UV-C ...
08/20/2026

AHE is in the books.

We spent a few days in New Orleans talking with teams and individuals about where autonomous UV-C disinfection fits into their operations. A few highlights from the show floor:

→ Live demo of the A1 ADIBOT at the booth
→ A raffle drawing that made someone’s day — congrats to our winner Joli!
→ Closing it out with a private reception for the teams and partners who make this industry move

Thank you to everyone who stopped by our booth!

AHE Exchange is one of the few places teams can see autonomous UV-C disinfection up close.We're bringing the A1 ADIBOT t...
08/04/2026

AHE Exchange is one of the few places teams can see autonomous UV-C disinfection up close.

We're bringing the A1 ADIBOT to Booth 209 in New Orleans. Stop by to see how it navigates a floor plan on its own and how our UV-C autonomous disinfection robot fits into a real disinfection program.

While you're there: raffles, gachapon pulls, merch, and a few giveaways we haven't announced yet.

If your team is evaluating autonomous UV-C, this is a good place to start that conversation in person.
See you at Booth 209.

UV-C light doesn't distribute evenly across a space. Distance determines irradiance, and the relationship is not gradual...
08/04/2026

UV-C light doesn't distribute evenly across a space. Distance determines irradiance, and the relationship is not gradual.

This is governed by the Inverse Square Law, a fundamental principle of physics: as UV-C light radiates outward from its source, the same energy spreads across a progressively larger area. The result is a rapid decline in irradiance with every step back from the source.

In practical terms: double the distance, and irradiance falls to roughly 1/4 of its output at the source. Triple it, and irradiance drops to approximately 1/9.

For fixed-position UV-C emitters, this creates a structural challenge. Surfaces close to the source receive concentrated irradiance. Surfaces further away may receive irradiance levels too low to accumulate an effective dose when time is limited, with no mechanism to compensate once a cycle is underway.

This is where autonomous positioning becomes a meaningful variable. The ADIBOT A1 navigates to multiple points within a space, bringing the source closer to the surfaces that require it. Rather than working around the physics, it accounts for them — systematically, and without operator intervention.

Understanding the law is the first step to applying it effectively.

UV-C disinfection only works if it happens in an empty room. The A1 ADIBOT is built with that as a hard requirement, not...
07/29/2026

UV-C disinfection only works if it happens in an empty room. The A1 ADIBOT is built with that as a hard requirement, not an assumption.

PIR Motion Sensors detect heat and motion in the space and automatically pauses the disinfection cycle if someone enters.

Smart Safety Sign is placed at the room's entry point as a visible warning sign and also pauses disinfection when moved.

LiDAR Sensors give the A1 continuous awareness of its surroundings for navigation and obstacle detection.

No single sensor carries the whole job. Safety is layered by design.

07/22/2026

Consistency starts with understanding the basics.

UV-C intensity drops as distance increases, following the Inverse Square Law. Even a small change in placement can meaningfully affect how much energy actually reaches a surface.

Geometry, shadowing, and surface orientation all add real-world complexity, but the core principle holds: where you place the light determines the dose the surface receives.

That's why positioning gets treated as a variable to control, not an afterthought.

What questions does your team run into around dose consistency? Let us know in the comments.

Not every room calls for the same disinfection approach, and the A1 ADIBOT isn't built around just one protocol.Use Map ...
07/22/2026

Not every room calls for the same disinfection approach, and the A1 ADIBOT isn't built around just one protocol.

Use Map follows a pre-mapped disinfection program, so recurring disinfection runs are repeatable and consistent.

Auto-Explore determines evenly distributed disinfection points on the fly, which is best for environments that rearrange between cycles.

On-The-Spot holds the A1 in place for targeted treatment at a single point for spot treatment.

Three ways to run the same robot, so the mode fits the needs of the task.

07/15/2026

UV-C disinfection looks simple: turn on a light, walk away. The physics underneath it is not.

At 254 nm, UV-C energy is absorbed directly by microbial DNA and RNA. That absorption causes the formation of pyrimidine dimers that block replication, which is how the organism is inactivated.

But the science only holds up if the ex*****on does too. Timing, placement, and line-of-sight coverage determine whether a program delivers a consistent dose everywhere it's needed, or leaves gaps a UV-C cycle can't see around.

For facilities leaders, understanding this mechanism isn't academic. It's what separates a protocol that looks good on paper from one that holds up under real deployment conditions.

No two facilities run the same way: different floor plans, different protocols, different teams already juggling more th...
07/14/2026

No two facilities run the same way: different floor plans, different protocols, different teams already juggling more than one priority. We built the A1 ADIBOT to adapt to that reality, not the other way around.

3 Operating Modes let the A1 match how your space actually operates, from navigating point-to-point for autonomous disinfection to spot treatment for single-point use cases..

ADIS gives your team cloud-based task reporting and fleet management, so oversight happens from a dashboard, not from standing next to the robot.

Layered Safety combines onboard motion sensors with smart safety signage, so the disinfection cycle responds the moment someone enters the space.

Control shouldn't mean more manual work for your team. It should mean the robot fits into the systems you already have.

07/10/2026

Not all UV-C is delivered the same way.

The UV-C spectrum spans 200 to 280 nm, with peak germicidal effect in the 260 to 265 nm range, where DNA absorption is highest. Most validated UV-C systems operate at 254 nm, which sits just outside that peak and delivers strong, well-documented germicidal performance. That's why 254 nm has long been the industry standard for surface and air disinfection.

But wavelength is only part of the equation. Efficacy depends on dose: the right intensity, for the right duration, across the surfaces that need it. That's why dosimeter-based validation is the recommended protocol when establishing a UV-C disinfection program: measuring actual dose delivered to target surfaces, not assuming it from the spec sheet.

The A1 ADIBOT complements that validation with detailed operational data in real time. Every disinfection session is logged through the ADIS Portal, giving operators full visibility into when, where, and how disinfection is being performed.

The right wavelength, the validated dose, the documented details of a full session. That's what a defensible UV-C program looks like.

06/30/2026

Adding UV-C to a disinfection protocol is a clear step forward. Delivering it consistently — at the right dose, across every room, every shift — is where the work really begins.

That's what the A1 ADIBOT is built for.

In a 280-square-foot room, the A1 can achieve a 4-log reduction of C. diff in approximately 13 minutes at a dose of 100 mJ/cm² across the room. It navigates autonomously, bringing consistent coverage to each session without adding to the team's workload.

Every disinfection session is logged through the ADIS Portal with detailed records and real-time data, so compliance is documented at the operational level.

A layered disinfection protocol is strongest when every step runs reliably. Autonomous UV-C is how that reliability gets built into the program.

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