Short verdict: Gausium Omnie is one of the most capable autonomous floor-cleaning robots for large, busy commercial environments where people, carts, changing layouts and mixed dry and wet debris make simple route-following difficult. Its strongest advantages are 360-degree perception, AI-powered Spot Cleaning, combined sweeping and scrubbing capability on the roller-brush configuration, and support for highly autonomous cleaning workflows. The main trade-offs are premium pricing, a relatively large 700 mm machine width, three-hour maximum published runtime while scrubbing, and the need to choose the correct brush configuration before deployment.
For supermarkets, airports, shopping centres, transport hubs, warehouses and large public facilities that need floors cleaned repeatedly while the building remains operational, Omnie can be a strong alternative to traditional ride-on scrubbers and less perception-rich cleaning robots. For narrow environments, carpet-heavy sites, very long uninterrupted scrubbing shifts or facilities where a simpler robot can cover the same task, a smaller or more specialised machine may offer better economics.
Best for: large and medium-to-large commercial facilities with high pedestrian traffic, frequent floor contamination, dynamic obstacles and a need for repeatable autonomous hard-floor cleaning.
Not for: small offices, narrow room-by-room cleaning, primarily carpeted facilities, outdoor sweeping as a primary task, or buyers who do not have enough recurring floor-cleaning workload to justify a premium autonomous system.
Reviewed and fact-checked 11 September 2026. This is an independent, documentation-based buyer review, not a claim of hands-on laboratory testing. Specifications were checked against current manufacturer documentation. Deployment outcomes below are manufacturer- or partner-published case studies and should be validated against your own facility.
Gausium Omnie: Quick Buyer Verdict
Omnie should be evaluated as an autonomous commercial cleaning system rather than simply as a robotic scrubber. Its biggest differentiator is the combination of a serious cleaning platform with 3D LiDAR, 360-degree panoramic vision and multimodal navigation designed for environments that remain active while cleaning takes place.
The strongest business case is not “replace every cleaner.” It is to automate large, repetitive floor areas so staff can spend more time on corners, shelves, washrooms, detailing, spills and other tasks that still need human attention.
| Decision factor | Verdict | Why it matters |
|---|---|---|
| Navigation in dynamic spaces | Excellent | 360-degree 3D LiDAR and camera coverage are specifically intended for busy, changing commercial environments. |
| Autonomous cleaning | Excellent | Supports autonomous navigation, scheduled cleaning and AI-driven spot cleaning. |
| Mixed debris handling | Very strong with roller configuration | Roller brushes and side brushes allow loose debris to be collected as part of the cleaning workflow. |
| AI Spot Cleaning | Strong | Designed to detect and target both dry debris and wet spills rather than treating every square metre identically. |
| Large-area productivity | Strong | Published theoretical productivity reaches 2,621 m²/h for disc scrubbing and 3,931 m²/h for roller sweeping. |
| Unattended operation | Strong | Gausium’s wider ecosystem supports autonomous charging, remote management and workstation-based servicing. |
| Tight-space manoeuvrability | Moderate | The robot is 700 mm wide and requires a published minimum pass width of 800 mm. |
| Scrubbing endurance | Moderate | Maximum published runtime is three hours when scrubbing, although sweeping and dust mopping can run considerably longer. |
| Price transparency | Moderate | Gausium does not publish one global list price; pricing varies materially by distributor, region and configuration. |
Pros
- Advanced sensor suite aimed at high-traffic, highly dynamic environments.
- 360-degree panoramic camera coverage and 3D LiDAR perception.
- AI Spot Cleaning targets detected dry and wet waste.
- Roller configuration can combine debris collection and scrubbing within the cleaning workflow.
- Up to 780 mm overall cleaning coverage with roller and side brushes.
- 33 L clean-water tank is substantial without making the robot as large as a traditional ride-on machine.
- Remote monitoring, task scheduling and cleaning-management capabilities are available through Gausium’s software ecosystem.
- Real 2026 deployments now exist in major supermarkets, airports and property portfolios.
Cons
- Three-hour maximum scrubbing runtime is shorter than some large industrial autonomous scrubbers.
- Disc and roller variants have meaningfully different cleaning capabilities, so configuration selection matters.
- 700 mm body width makes Omnie less suitable than compact robots for tight rooms and narrow passages.
- Published maximum gradeability is only 4.6 degrees.
- Gausium does not publish one universal manufacturer list price.
- The standard public specification does not state a general IP rating, so buyers should confirm environmental limits in writing.
- Higher levels of unattended operation require additional infrastructure and a suitable deployment setup.
Our recommendation: shortlist Omnie when your facility has large hard-floor areas, meaningful traffic during cleaning hours and enough repetitive floor work to benefit from autonomous sweeping or scrubbing. For most buyers, the most important first decision is whether the disc or roller configuration better matches the actual debris profile. Explore the Gausium Omnie listing and configuration options before requesting a site-specific proposal.
How Much Does Gausium Omnie Cost in 2026?
Gausium does not publish a single global manufacturer list price for Omnie. Pricing is handled through regional suppliers and can vary depending on country, brush configuration, charging infrastructure, workstation, commissioning, service and commercial model.
Public distributor pricing in 2026 illustrates why one global figure can be misleading. German supplier Terra Robotics publicly lists Omnie at €29,000 excluding VAT, while FrisiLogix lists a €28,999 robot-only purchase price. In Australia, Cleaners Gallery has publicly listed Omnie at A$59,198 excluding GST.
These are useful regional market references, not a guaranteed Gausium MSRP or the final cost of a deployable system.
| Cost layer | Possible components | Buyer question |
|---|---|---|
| Robot | Omnie base unit and chosen disc- or roller-brush configuration. | Which cleaning head is included in the quote? |
| Charging | Charging equipment and autonomous charging infrastructure where supported by the selected configuration. | How much operator involvement is required between missions? |
| Workstation | Automatic charging, clean-water refill and wastewater discharge infrastructure where included in the deployment. | Are water, drainage and power available at the proposed docking point? |
| Commissioning | Site survey, mapping, cleaning-plan creation, staff training and acceptance testing. | What is included in deployment rather than charged separately? |
| Software | Cloud services, remote management, reporting, software support and future functionality. | Which functions require subscriptions or recurring fees? |
| Service | Preventive maintenance, consumables, call-outs, spare parts and remote support. | Who can repair the robot locally and what response time is contracted? |
| Site readiness | Dock location, water supply, drain, Wi-Fi, doors, lifts, access control and floor conditions. | What must change in the building before the robot can operate reliably? |
Do not compare robot-only prices
A €29,000 robot-only offer and a more expensive fully commissioned system are not directly comparable.
For example, FrisiLogix separates the robot price from optional workstation, charging, commissioning, shipping and service costs. That is the right way to think about the purchase.
A meaningful quotation should state exactly what is included: robot, brushes, charging system, workstation, software, mapping, training, warranty, service and ongoing fees.
The right comparison is cost per reliably cleaned square metre over the ownership period, not the cheapest robot on the purchase order.
For current availability and a configuration matched to your use case, see Gausium Omnie at Anton Robots.
What Is Gausium Omnie?
Omnie is Gausium’s high-end autonomous commercial floor-cleaning robot for large, complex and highly dynamic environments.
Gausium positions it for locations including airports, transport facilities, logistics and warehouses, manufacturing sites, retail and shopping centres, car parks and contract-cleaning operations.
It sits above compact robots such as Gausium Phantas in terms of footprint and large-area cleaning capability.
The robot combines autonomous navigation with commercial floor-care hardware. Depending on configuration, it can scrub, sweep and dust-mop, while Omni SpotCleaning uses AI-based visual perception to identify dry and wet waste and target cleaning effort accordingly.
What Omnie is
- An autonomous commercial hard-floor cleaning robot.
- A large-area robotic scrubber.
- A sweeping and scrubbing platform when equipped with the roller-brush configuration.
- A mobile platform for scheduled and data-driven floor cleaning.
- A robot designed to navigate around changing pedestrian and operational traffic.
- Part of Gausium’s broader robot, software and autonomous-cleaning ecosystem.
What Omnie is not
- It is not a domestic robot vacuum.
- It is not primarily a carpet-cleaning robot.
- It is not a heavy outdoor road sweeper.
- It is not small enough for every room or corridor.
- It does not remove the need for all manual cleaning.
- It does not guarantee financial savings unless the autonomous hours actually replace or reallocate meaningful human work.
If you are still comparing the category rather than a specific model, explore commercial cleaning robots before selecting a platform.
Gausium Omnie Specifications
The following figures come from Gausium’s current Omnie specifications. Gausium publishes both disc-brush and roller-brush configurations, and the distinction matters because weight, scrubbing width, productivity and sweeping capability differ.
| Specification | Disc brush | Roller brush |
|---|---|---|
| Length | 810 mm | 810 mm |
| Width | 700 mm | 700 mm |
| Height | 1,070 mm | 1,070 mm |
| Net weight | 157 kg | 148 kg |
| Clean-water tank | 33 L | 33 L |
| Wastewater tank | 24 L | 24 L |
| Scrubbing width | 520 mm | 406 mm |
| Cleaning width with side brushes | Not stated | 780 mm |
| Maximum theoretical scrubbing efficiency | 2,621 m²/h | 2,046 m²/h |
| Maximum theoretical sweeping efficiency | Not currently published | 3,931 m²/h |
| Maximum theoretical dust-mopping efficiency | 3,604 m²/h | 3,604 m²/h |
| Maximum cleaning speed | 1.4 m/s | |
| Gradeability | 4.6° | |
| Minimum pass width | 800 mm | |
| Minimum U-turn width | 1,100 mm | |
| Battery | Lithium iron phosphate, 60 Ah, 24 VDC | |
| Maximum scrubbing runtime | 3 hours | |
| Maximum sweeping runtime | 8 hours | |
| Maximum dust-mopping runtime | 8 hours | |
| Charging time | 2 hours | |
| Standard sensing | 3D LiDAR, 2D LiDAR, 3D depth camera, RGB camera, anti-collision and anti-drop sensing | |
Theoretical productivity is not real-world productivity
Gausium explicitly notes that its specification values are derived from test results and that actual performance may vary by application.
The published m²/h figures are therefore useful for comparing machine architecture, but they should not be multiplied by runtime and treated as guaranteed cleaned area.
Actual productivity falls when the robot slows for people, reroutes around obstacles, revisits stains, turns at aisle ends, travels between cleaning zones, stops for doors or spends time servicing itself.
For procurement, ask the supplier to demonstrate effective cleaned area per hour on your own site.
Disc Brush vs Roller Brush: Which Omnie Should You Choose?
This is one of the most important Omnie purchasing decisions because Gausium publishes materially different cleaning specifications for the two versions.
Disc-brush Omnie
The disc configuration provides a 520 mm scrubbing width and theoretical scrubbing productivity of up to 2,621 m²/h.
Best fit: sites where wet scrubbing quality is the main objective and loose debris is already controlled through another cleaning process.
Advantages include:
- Wider dedicated scrubbing path than the roller configuration.
- Higher published theoretical scrubbing productivity.
- A conventional commercial scrubber-style cleaning approach.
The key limitation is that Gausium’s current specification lists the disc version’s maximum sweeping efficiency as “Coming Soon,” so buyers should not assume that it has the same debris-handling capability as the roller version.
Roller-brush Omnie
The roller version uses a 406 mm primary scrubbing width but adds side brushes to create 780 mm of overall cleaning width.
Its built-in debris tray collects particles, litter and fine dust within the cleaning workflow.
Best fit: supermarkets, warehouses, transport facilities and other environments where litter, dust and loose debris regularly appear alongside stains or liquid spills.
Advantages include:
- Loose-debris collection within the cleaning process.
- Up to 3,931 m²/h published theoretical sweeping productivity.
- Built-in debris tray.
- Side brushes extend cleaning coverage.
Do not confuse 780 mm cleaning width with 780 mm primary scrubbing width
This is important.
Buyers comparing Omnie with another autonomous scrubber should therefore distinguish the main roller scrubbing width from the broader width reached by the complete brush system.
Otherwise, competitor comparisons can become misleading.
Cleaning Performance, Debris Collection and AI Spot Cleaning
Omnie combines autonomous navigation with several cleaning strategies rather than forcing every floor into one fixed routine.
Scrubbing
Wet scrubbing is one of Omnie’s central functions. The robot dispenses solution, agitates the floor mechanically and recovers wastewater.
The 33 L clean-water and 24 L recovery tanks provide meaningful capacity for a robot of this footprint, although actual cleaned area per tank depends on flow settings, contamination level and route behaviour.
Sweeping and debris collection
On the roller-brush configuration, side brushes direct loose waste into the cleaning area and the built-in debris tray can collect particles, litter and fine dust.
This matters operationally.
Traditional scrubbing normally works best after larger loose debris has been removed. If Omnie can incorporate that step into the autonomous workflow, it reduces one of the manual preparation tasks that can otherwise weaken the automation business case.
Dust mopping
Dust mopping can therefore be useful when the goal is frequent maintenance cleaning rather than a complete wet-scrub cycle.
AI Spot Cleaning
One of Omnie’s headline features is Omni SpotCleaning.
Instead of treating the entire mapped area uniformly, the system uses AI deep learning to identify dry and wet waste and target cleaning accordingly.
That has two potential benefits:
- Higher responsiveness: localised contamination can be addressed without treating every part of the floor identically.
- Better resource efficiency: cleaning time can be concentrated where contamination is detected.
However, buyers should not treat “AI” as proof of cleaning quality.
Test:
- Which debris types are recognised.
- Which liquids are reliably detected.
- Minimum detectable object or spill size.
- Performance on patterned or reflective floors.
- False-positive behaviour.
- Whether a detected stain is actually removed after the cleaning pass.
The commercially relevant question is not whether Omnie detects dirt. It is whether the complete detect → clean → verify workflow reduces work for your cleaning team.
Autonomous Operation, Gausium Cloud and Workstation Integration
A cleaning robot is only as autonomous as the tasks surrounding the cleaning cycle.
Sending a robot around a building automatically but requiring a person to handle every recharge, refill and wastewater cycle still leaves substantial labour in the process.
Software and remote management
Gausium’s wider platform includes OTA updates, remote maintenance, open APIs, cloud computing, map editing, remote control, real-time monitoring and task scheduling.
For multi-site buyers, that can become one of the strongest arguments for robotics.
A facilities manager can potentially use robot data to understand:
- Which routes completed.
- When missions were interrupted.
- Cleaning frequency by zone.
- Robot utilisation.
- Recurring problem areas.
Before purchase, confirm which capabilities are available for the exact Omnie configuration, which are included commercially and which require cloud connectivity or recurring services.
Workstation-based servicing
Gausium’s WS-01 workstation supports automatic charging, clean-water refill and wastewater discharge.
Importantly, published 2026 Omnie deployments show this infrastructure being used with the new robot. For example, AB Vassilopoulos deployed nine Omnie units paired with WS-01 workstations.
For multi-shift facilities, reducing these routine servicing tasks can be more important than gaining another few hundred square metres per hour of theoretical cleaning speed.
But a workstation does not remove all human maintenance
Operators still need to inspect and maintain items such as:
- Brushes.
- Side brushes.
- Squeegees.
- Debris collection components.
- Sensors and cameras.
- Consumables.
- Unexpected blockages.
- Physical damage.
Automation reduces routine intervention. It does not create a maintenance-free cleaning system.
Battery Life, Charging and Real Operating Time
Omnie uses a 60 Ah lithium iron phosphate battery at a rated 24 VDC.
Gausium publishes different maximum runtimes depending on cleaning mode:
| Scrubbing | Up to 3 hours |
|---|---|
| Sweeping | Up to 8 hours |
| Dust mopping | Up to 8 hours |
| Charging time | Approximately 2 hours |
Why scrubbing runtime matters most
Wet cleaning requires significantly more energy than simply moving through a facility.
Pumps, brushes, vacuum recovery and the complete cleaning mechanism draw power throughout the mission.
That makes the three-hour figure the more relevant number for buyers whose primary task is scrubbing.
Runtime does not equal three uninterrupted hours of productive cleaning
Real duty cycle includes:
- Travel to and from the cleaning zone.
- Obstacle avoidance.
- Turns.
- Spot-cleaning actions.
- Docking.
- Water servicing.
- Route interruptions.
- Battery reserve.
Do not size the deployment around 100% of the manufacturer’s maximum runtime.
Autonomous servicing changes the calculation
A robot that can complete a route, recharge, service itself and later resume work can accumulate far more useful daily cleaning time than its single-charge runtime suggests.
That is why buyers should calculate square metres cleaned per full operating day, not simply square metres per battery.
Safety, Environmental Limits and Site Readiness
Commercial cleaning robots frequently operate close to people, making safety and deployment engineering central to the purchasing decision.
Gausium lists 3D LiDAR, 2D LiDAR, 3D depth cameras, RGB cameras, anti-collision sensing and anti-drop sensing as part of Omnie’s standard sensor specification.
IEC 63327
Gausium’s current specifications state that alternative configurations compliant with IEC 63327 are available on request and that specifications may differ depending on the selected configuration.
IEC 63327:2021 covers particular safety requirements for powered automatic floor-treatment machines intended for commercial indoor use.
Do not interpret Gausium’s statement as proof that every Omnie configuration sold globally is identical or carries the same compliance package.
If a project requires a specific standard, certification or local regulatory conformity, require documentation for the exact unit and configuration being quoted.
Ingress protection
Gausium’s public Omnie specification does not currently state a general IP rating.
That matters if the deployment includes:
- Heavy washdown.
- Outdoor exposure.
- Driving rain.
- Standing water.
- Very dusty industrial environments.
Do not infer environmental protection simply because the robot can clean wet floors. Ask for the permitted operating conditions in writing.
Gradient
Published gradeability is 4.6 degrees.
Measure ramps rather than assuming that a building described as “accessible” will automatically fit Omnie’s operational limits.
Minimum space
The robot is 700 mm wide, but Gausium specifies an 800 mm minimum pass width and a 1,100 mm minimum U-turn width.
Real installations should reserve additional margin around people, fixtures and temporary obstacles.
Operational risks to validate
- Children and unpredictable pedestrians.
- Shopping carts and luggage trolleys.
- Forklift and AMR traffic.
- Automatic and fire doors.
- Lifts and multi-floor operation.
- Escalator or stair edges.
- Glass and mirrors.
- Cables and temporary displays.
- Large liquid spills.
- Emergency stops and manual recovery.
- Loss of connectivity.
Real-World Gausium Omnie Results: What 2026 Deployments Show
Omnie is a relatively new platform, so its evidence base is not yet as mature as cleaning machines that have been deployed for many years.
However, 2026 has produced several meaningful commercial deployments.
The important distinction is that these are manufacturer- or partner-published cases rather than independent controlled trials. They show what customers are doing with the platform, not guaranteed outcomes for every site.
| Organisation | Environment | Published result or deployment | Buyer lesson |
|---|---|---|---|
| AB Vassilopoulos | Greek supermarkets | 9 Omnie units deployed alongside 16 Phantas robots; reported 20% reduction in manual floor-cleaning time. | Automation can reallocate staff rather than attempting to eliminate the complete cleaning team. |
| Auchan France | Supermarkets and hypermarkets | Phased Omnie deployment beginning in April 2026, focused on high-traffic main aisles and fresh-produce zones. | High-traffic retail is one of the clearest matches for Omnie’s perception and spot-cleaning architecture. |
| Selver | Estonian supermarkets | 8 Omnie units plus 3 Phantas units in the 2026 rollout following a five-store winter pilot. | A pilot through genuinely difficult operating conditions is more valuable than a showroom demonstration. |
| Milan Malpensa and Linate airports | International airports | Omnie robots deployed ahead of the Milano Cortina 2026 Winter Olympics. | Large open areas with continuous pedestrian traffic align closely with Omnie’s design intent. |
| Onewo SpaceTech | Commercial and residential property | Two Omnie units form part of a mixed Gausium fleet covering approximately 28,000 m² across two Chongqing properties. | Large properties may benefit from different robot models for different zones rather than forcing one model everywhere. |
The strongest evidence so far: labour reallocation
The AB Vassilopoulos deployment is especially useful because it publishes an operational metric rather than simply stating that robots were installed.
The company reported a 20% reduction in time spent on manual floor cleaning, allowing cleaning staff to spend more time on rooms and areas requiring greater attention.
That is a realistic way to evaluate commercial cleaning robots.
Robots are strongest at:
- Large floor areas.
- Repetitive routes.
- Frequent maintenance cleaning.
- Predictable machine-operable surfaces.
People remain strongest at:
- Detail cleaning.
- Stairs.
- Furniture.
- Washrooms.
- Vertical surfaces.
- Unexpected incidents.
The business case improves when those two types of work are deliberately separated.
Best Gausium Omnie Use Cases
1. Supermarkets and hypermarkets
One of the strongest Omnie applications.
Supermarkets combine large hard-floor areas with shoppers, carts, frequent spills, changing displays and long operating hours.
Omni SpotCleaning is especially relevant around:
- Fresh produce.
- Entrances.
- Checkout areas.
- Main aisles.
- Food counters.
The 2026 deployments at AB Vassilopoulos, Auchan and Selver provide direct evidence of Omnie being used in this environment.
2. Airports and transport hubs
Airports require large areas to remain clean while thousands of people continue moving through them.
Omnie’s combination of wide-area productivity, 360-degree sensing and autonomous navigation fits that requirement well.
Its deployment at Milan Malpensa and Linate airports provides direct evidence that the product is already being used in this category.
3. Shopping centres
Large malls can provide long, machine-friendly corridors while still presenting difficult pedestrian traffic and changing obstacles.
Autonomous cleaning is especially valuable during extended opening hours when manual ride-on scrubbing may be disruptive.
4. Warehouses and logistics facilities
Gausium explicitly positions Omnie for logistics and warehouse environments.
The ability to deal with changing environments and dry debris makes it relevant to some warehouses.
However, buyers should compare it carefully with an industrial platform such as Avidbots Neo 2W, which is specifically designed around warehouse conditions, and with dedicated autonomous sweepers when loose debris rather than wet scrubbing is the primary problem.
5. Manufacturing
Factories with large hard-floor circulation areas can be a good fit, particularly where routine floor care is currently performed with ride-on equipment.
Validate:
- Industrial debris size.
- Oil and chemical compatibility.
- Traffic interaction.
- Floor gradients.
- Dust and environmental limits.
6. Car parks and large property portfolios
Gausium also lists car parking as an Omnie application.
The Onewo deployment in Chongqing includes two Omnie robots working overnight across approximately 20,000 m² of underground parking within a larger mixed-robot deployment.
7. Contract cleaning
For cleaning contractors, Omnie can change the economics of high-volume floor care if utilisation remains high.
The key is to secure enough recurring contracted floor area to keep the robot productive.
A robot used intensively across a long contract can have a compelling business case. The same machine sitting idle most of the week cannot.
When Gausium Omnie Is Not the Right Robot
Omnie is a sophisticated machine, but sophistication is not automatically better.
Reject or deprioritise it when the environment points elsewhere.
- Very narrow layouts: the 700 mm body and 800 mm minimum pass width favour larger spaces.
- Small facilities: a compact robot such as Gausium Phantas or another smaller platform may achieve better utilisation.
- Carpet is the main surface: Omnie is primarily a hard-floor cleaning platform rather than a dedicated carpet vacuum.
- Heavy industrial debris: a specialised sweeper may be more appropriate than a scrubber-first platform.
- Very long uninterrupted wet-cleaning routes: the three-hour maximum scrubbing runtime may favour a larger machine or require route splitting and servicing.
- Very steep ramps: the published 4.6-degree gradeability must be respected.
- Unverified outdoor exposure: environmental suitability should be confirmed rather than assumed.
- Tiny cleaning workload: the capital and implementation cost may never be recovered.
- No local technical support: uptime matters more than impressive specifications.
- No one owns the deployment: robots still require route management, maintenance, issue escalation and performance review.
Gausium Omnie vs PUDU CC1 Pro, Avidbots Neo 2W, Tennant X6 ROVR and LionsBot R12 Rex
There is no universally best autonomous scrubber. These products occupy different points between compact multi-function robots and large industrial cleaning machines.
| Robot | Published strengths | Key trade-off | Best shortlist reason |
|---|---|---|---|
| Gausium Omnie | 360° sensing, AI Spot Cleaning, sweeping and scrubbing roller configuration, 33 L clean-water tank and compact footprint relative to large industrial scrubbers | 3 h scrubbing runtime, 700 mm body width and premium pricing | Large, highly dynamic commercial environments |
| PUDU CC1 Pro | Compact 629 × 552 mm footprint, sweeping, vacuuming, mopping and scrubbing, up to 5 h scrubbing runtime, plus optional elevator and e-gate integration | 15 L clean and dirty water tanks and 500 mm cleaning width place it in a smaller machine class | Mixed surfaces, tighter corridors and multi-floor commercial buildings |
| Avidbots Neo 2W | Warehouse-specific autonomy, up to approximately 3,900 m²/h theoretical productivity, six-hour runtime and industrial obstacle-handling features | A substantially larger industrial-floor-cleaning proposition than Omnie | Warehouses and manufacturing plants with heavy recurring floor-cleaning demand |
| Tennant X6 ROVR | 650 mm cleaning path, 95 L solution and recovery tanks, up to six-hour runtime and Tennant’s established floor-care service ecosystem | Larger footprint and a more traditional autonomous-scrubber architecture | Buyers prioritising tank capacity, conventional scrubbing and established floor-care support |
| LionsBot R12 Rex Scrub | 810 mm scrubbing width, 140 L tanks, up to 80 kg brush pressure and up to eight hours of published runtime | Much larger and heavier than Omnie | Very large open areas needing industrial-scale wet scrubbing |
Which one should you choose?
- Choose Omnie when dynamic navigation, mixed debris and cleaning around active public traffic are major priorities.
- Choose CC1 Pro when compactness, mixed cleaning modes and building integration matter more than tank size.
- Shortlist Neo 2W for demanding warehouse and industrial environments.
- Shortlist X6 ROVR when large tanks, longer scrubbing endurance and traditional floor-care support dominate the requirement.
- Shortlist R12 Rex when cleaning very large open spaces where machine size is less restrictive.
Use the Anton Robots comparison tool to compare robots against your actual site requirements.
Is Gausium Omnie Worth It?
Omnie can be worth it when a facility has enough recurring machine-cleanable floor area to convert autonomous operating hours into measurable labour reallocation, higher cleaning frequency or lower cost per square metre.
It is poor value when purchased mainly for innovation visibility or when staff still need to accompany it through most of the route.
Build the business case around productive hours
A practical annual model is:
Annual benefit = labour hours reallocated + conventional machine operating cost avoided + additional cleaning value + avoided service disruption − annual robot operating cost.
Then:
Payback period = total implementation cost ÷ monthly net benefit.
Include the complete implementation cost
- Robot.
- Required cleaning configuration.
- Charging or workstation infrastructure.
- Installation.
- Mapping and commissioning.
- Software.
- Training.
- Preventive maintenance.
- Brushes, squeegees and other consumables.
- Repairs.
- Connectivity.
- Internal supervision.
Measure labour correctly
Do not calculate:
8-hour cleaner shift = 8 hours saved.
That is rarely realistic.
Instead identify the exact task:
2.5 hours of machine floor scrubbing per day × 365 days = 912.5 annual machine-operation hours.
Then measure how much of that route Omnie can complete without intervention.
If 80% becomes reliably autonomous, the business case is based on approximately 730 reallocated hours—not an invented full-headcount replacement.
Use the AB Vassilopoulos result as the right type of benchmark
The published 20% reduction in manual floor-cleaning time is more useful for procurement than a theoretical claim that a robot “replaces a cleaner.”
It shows what successful automation often looks like: repetitive floor work moves to the robot while staff spend more time on cleaning tasks robots cannot complete.
Three questions determine most of the ROI
- How many machine-cleanable square metres must be cleaned each day?
- How many human hours currently go into that exact task?
- What percentage can Omnie complete reliably without intervention?
If those three numbers are strong, the project deserves a pilot.
Gausium Omnie Buying Checklist
- Measure the floor area. Separate genuinely machine-cleanable areas from stairs, rooms, cluttered zones and spaces that still require manual work.
- Document the debris profile. Record dust, litter, food debris, liquid spills, grease and the frequency of each.
- Choose disc or roller. Do not allow the configuration decision to be made only after the purchase order.
- Measure every pinch point. Check corridors, doors, aisle ends, ramps and docking access against the 800 mm pass and 1,100 mm U-turn figures.
- Measure gradients. Compare actual ramps with the published 4.6-degree limit.
- Choose the autonomy level. Establish how charging, water refill and wastewater handling will work.
- Inspect servicing infrastructure. Verify power, fresh water, drainage and physical clearance where required.
- Check connectivity. Test the full cleaning route rather than assuming Wi-Fi coverage.
- Define cleaning acceptance criteria. Specify missed-area percentage, edge performance, stain removal, route completion and intervention rate.
- Test busy conditions. A night-time demo is insufficient if the robot will clean around customers during the day.
- Verify standards. Obtain documentation for the exact configuration required in your jurisdiction.
- Confirm environmental limits. Ask explicitly about water, temperature, dust and any outdoor or semi-outdoor areas.
- Review software costs. Identify included and recurring cloud, fleet-management or support fees.
- Verify local service. Ask who carries spare parts and who attends a breakdown.
- Run a real pilot. Measure autonomous hours and intervention rate over multiple normal operating days.
- Calculate three-year TCO. Include hardware, infrastructure, deployment, software, service and consumables.
Pro tip: ask the supplier to report “human interventions per 1,000 m² cleaned” during the pilot. A robot can show impressive coverage while still creating too much supervision work to deliver the expected ROI.
How to Buy Gausium Omnie
Omnie is generally sold through Gausium’s regional sales and distributor network rather than as a simple global e-commerce product.
A high-quality enquiry should contain enough information for the supplier to specify the right configuration before pricing the project.
Before requesting a quote, prepare:
- Total floor area.
- Approximate area cleaned per day.
- Floor types.
- Photographs or video of representative routes.
- Door and aisle widths.
- Ramp gradients.
- Current cleaning schedule.
- Current equipment used.
- Loose-debris profile.
- Typical spills or contaminants.
- Operating hours.
- Pedestrian and vehicle traffic.
- Charging and water infrastructure.
- Desired autonomous operating hours.
- Target payback period.
Ask the supplier to quote at least two scenarios:
- Minimum viable deployment: everything required to automate one valuable cleaning route.
- Maximum-autonomy deployment: robot, servicing infrastructure, software and support required to minimise routine human intervention.
Review the Gausium Omnie product page, explore the Gausium brand page, or contact Anton Robots to discuss fit, supplier options and a site-specific deployment.
If you are unsure whether Omnie is the right class of machine, use Find My Robot before committing to one platform.
What Is New for Gausium Omnie in 2026?
For Omnie, the biggest 2026 development is not simply another specification.
It is growing evidence that the platform has moved into substantial real-world commercial deployments.
Large-scale supermarket deployment in Greece
In May 2026, Gausium published the deployment of nine Omnie and sixteen Phantas robots across AB Vassilopoulos supermarkets.
The customer reported a 20% reduction in time spent on manual floor cleaning.
Auchan France rollout
Auchan began a phased Omnie deployment in France in April 2026, focused particularly on main shopping corridors and fresh-produce areas.
This matters because those are precisely the environments in which Omnie’s ability to work around continuous customer traffic should create value.
Expansion after a winter pilot
Selver’s Estonian rollout followed a winter pilot in five stores.
Eight Omnie and three Phantas robots are being deployed in 2026, with further expansion planned for 2027.
Testing during Estonia’s muddy winter period is especially relevant because it exposed the robots to a much more demanding contamination profile than a controlled showroom trial.
Milan airport deployments
On 6 February 2026, Gausium announced that Omnie robots were operating at Milan Malpensa and Linate airports ahead of the Milano Cortina Winter Olympics.
That provides a strong reference for one of the exact environments Omnie targets: large open floors, heavy pedestrian traffic and continuously changing obstacles.
Property and parking deployments
In July 2026, Gausium published a Onewo SpaceTech deployment covering approximately 28,000 m² across two properties in Chongqing.
Two Omnie robots handle approximately 20,000 m² of underground parking at the International Land-Sea Center overnight.
Why the 2026 evidence matters
The procurement question becomes stronger once a robot moves beyond demonstrations.
Instead of only asking:
“What does the specification sheet say Omnie can do?”
buyers can increasingly ask:
“How is Omnie being deployed in supermarkets, airports and properties that resemble our operation?”
That is a much better basis for a purchasing decision.
Gausium Omnie FAQ
How much does Gausium Omnie cost?
Gausium does not publish one universal global list price. Public European distributor listings in 2026 place robot-only pricing around €29,000, while Australian listings can be around A$58,000–A$59,000 before additional deployment costs. Charging infrastructure, workstation equipment, commissioning, software and service can increase the complete project cost.
What does Gausium Omnie do?
Omnie is an autonomous commercial floor-cleaning robot. Depending on configuration, it can scrub, sweep and dust-mop hard floors while navigating autonomously around people and obstacles.
Can Omnie sweep and scrub?
Yes. The roller-brush configuration combines roller and side brushes with a debris tray, allowing loose debris to be collected as part of the cleaning workflow.
What is the difference between Omnie’s disc and roller versions?
The disc version has a 520 mm scrubbing width and higher published theoretical scrubbing productivity. The roller version has a 406 mm main scrubbing width plus side brushes that extend the published width to 780 mm and add sweeping and debris-collection capability.
What is Omnie’s cleaning width?
The disc-brush version has a 520 mm scrubbing width. The roller-brush version has a 406 mm primary scrubbing width and 780 mm published width when its side brushes are included.
How much area can Gausium Omnie clean per hour?
Gausium publishes theoretical maximum figures of 2,621 m²/h for disc scrubbing, 2,046 m²/h for roller scrubbing, 3,931 m²/h for roller sweeping and 3,604 m²/h for dust mopping. Real productivity will generally be lower in occupied facilities.
How long does Gausium Omnie run?
Gausium publishes up to three hours for scrubbing and up to eight hours for sweeping or dust mopping.
How long does Omnie take to charge?
The current published charging time is approximately two hours.
How much water does Omnie carry?
Omnie has a 33 L clean-water tank and a 24 L wastewater tank.
Can Omnie refill itself?
Published Gausium deployments show Omnie being paired with workstation infrastructure capable of automating charging, clean-water refill and wastewater discharge. Confirm the exact workstation compatibility and configuration included in your regional quotation.
Does Gausium Omnie use AI?
Yes. Gausium uses AI within functions including perception and Omni SpotCleaning. SpotCleaning is designed to identify and target both dry and wet waste.
Does Omnie have LiDAR?
Yes. The published standard sensor specification includes 3D LiDAR and 2D LiDAR, as well as 3D depth and RGB cameras.
Does Omnie have 360-degree cameras?
Gausium describes Omnie as having 360-degree panoramic camera coverage for situational awareness, object detection and remote-service visibility.
Can Gausium Omnie work around people?
It is specifically designed for highly dynamic commercial environments and uses multi-sensor perception and obstacle avoidance. Real performance should still be validated under the pedestrian conditions of the intended site.
Can Omnie clean supermarkets?
Yes. Supermarkets are one of its strongest applications. Omnie has already been deployed by retailers including AB Vassilopoulos, Auchan and Selver.
Can Omnie clean airports?
Yes. Gausium positions transportation hubs as a target environment, and Omnie units were deployed at Milan Malpensa and Linate airports in 2026.
Can Omnie clean warehouses?
Yes. Gausium lists logistics and warehouses among Omnie’s target applications. Buyers should still compare it against warehouse-specific scrubbers and dedicated sweepers depending on the debris profile and required runtime.
Can Omnie clean carpets?
Omnie is primarily positioned as a hard-floor cleaning robot. Buyers needing substantial carpet vacuuming should compare robots designed specifically for mixed surfaces or commercial carpet care.
Can Omnie use elevators?
Multi-floor deployment depends on the complete site integration rather than the robot alone. Confirm lift controls, doors, access systems, network coverage and safe transfer requirements with the supplier for your building.
How wide does a corridor need to be for Omnie?
Gausium publishes a minimum pass width of 800 mm and minimum U-turn width of 1,100 mm. In real facilities, additional margin is advisable.
Can Omnie climb ramps?
The published maximum gradeability is 4.6 degrees. Measure the actual route and validate it during the site pilot.
Is Gausium Omnie waterproof?
The current public Omnie specification does not state a general IP rating. Buyers should obtain written environmental limits for the exact configuration rather than assuming that a floor scrubber is suitable for rain, washdown or outdoor operation.
Is Omnie IEC 63327 compliant?
Gausium states that alternative configurations compliant with IEC 63327 are available on request and that specifications may differ by configuration. Confirm compliance documentation for the specific unit being purchased.
What is the best alternative to Gausium Omnie?
It depends on the site. PUDU CC1 Pro is a stronger compact multi-surface option, Avidbots Neo 2W is highly relevant for warehousing, Tennant X6 ROVR offers much larger tanks and longer published scrubbing endurance, and LionsBot R12 Rex targets much larger industrial cleaning jobs.
Is Gausium Omnie worth buying?
It can be when a facility has enough large, repetitive hard-floor cleaning work to keep the robot highly utilised. The strongest business cases come from automating operator hours spent on routine machine cleaning and reallocating people to detail work rather than assuming the robot replaces the complete cleaning operation.
Final Verdict: Should You Buy Gausium Omnie?
Buy or pilot Gausium Omnie if you need autonomous floor cleaning across large, busy spaces where the robot must continue working around people, carts, debris and changing conditions.
Its strongest combination is perception plus cleaning flexibility.
The 360-degree LiDAR and panoramic-vision architecture targets the navigation problem, while AI SpotCleaning and the roller-brush debris system target the cleaning problem.
Add suitable autonomous servicing infrastructure and the deployment can also automate meaningful parts of the charging and water-handling cycle.
That makes Omnie particularly compelling for supermarkets, airports, shopping centres, large public buildings, parking areas and some logistics or manufacturing environments.
It is not automatically the best robot for every site.
The three-hour maximum scrubbing runtime, 700 mm machine width, 4.6-degree gradeability and premium deployment cost are real constraints. Smaller facilities may get better value from a compact robot, while very large industrial floors may favour machines with bigger tanks and longer wet-cleaning endurance.
The strongest buying process is therefore not:
“Is Omnie the most advanced cleaning robot?”
It is:
“Can Omnie autonomously complete enough of our existing cleaning workload to improve cost, consistency or cleaning frequency?”
Prove that on your actual floor, during normal operating conditions, with the final brush configuration and servicing setup.
If it works there, Omnie can be one of the strongest autonomous cleaning platforms currently available for dynamic commercial environments.
Ready to evaluate a configuration? View Gausium Omnie at Anton Robots, compare it with other commercial cleaning robots, use the Anton Robots comparison tool, or request help matching the robot and deployment setup to your site.
