One operator covers sweep, blow, and porter on the same visit. The value is the operating model autonomy makes possible — not the autonomy stack itself.
Sweeping, blowing, and porter work are billed as three line items and dispatched as three crews. Wages are up. Night-shift retention is down. Owner-operators are aging out. The work still has to happen by sunrise.
Margin in legacy parking-lot service is shaped almost entirely by crew cost and crew availability — not route quality.
Night-shift labor has gotten meaningfully more expensive, and the people willing to do it are harder to keep on the schedule.
Asorra collapses sweep, blow, and porter into a single supervised visit — one operator delivering the work that used to require a crew.
A legacy operator's P&L is shaped by crew availability. An autonomy-enabled operator restacks the visit and rebuilds dispatch around truck utilization. Same SLA. Half the headcount per truck-night.
Driver + porter + blower team, dispatched as three separate crews. Routes built around crew availability.
One driver covers sweep on supervised autonomy plus blow and porter on foot. Routes built around truck utilization.
The value we create comes from the operating model autonomy makes possible — stacked roles per visit, routes built around truck utilization, dispatch and SLA tooling running on real-time operational data instead of crew availability.
We operate production-grade truck-mounted sweepers upfit with our supervised-autonomy stack. Proven mechanical platforms, established OEM service networks.
Customers buy outcomes, not robots. Per-lot service contracts with REITs and retail facility ops. We own the asset, the operations, and the SLA.
The technology is invisible to the customer. The result — a clean lot, on time, every morning — is unmistakable. Asorra fades into the operations the customer already runs.
The operator is on-site every minute of every sweep. Supervised autonomy means the driver can take the truck back at any moment — same SLA you expect from a top-tier service operator, delivered with a smaller, safer, more reliable workflow.
Operator drives the sweeper to your site, confirms the lot plan, and starts the supervised sweep.
While the truck handles its passes, the operator is on foot — blowing walkways, clearing entryways, working the porter list.
Every visit produces a structured service record. Photos, intervention notes, route adherence — straight into your facility ticket.
One operator supervises the truck and works the lot on foot. One dispatcher watches three trucks at once. One facility manager gets an SLA receipt at 06:30 with timestamps, acres, and incidents. The stack is built around the operating-model bet — not bolted on top of it.
Dispatch sees every truck in autonomy, every site in progress, every intervention as it happens. The intervention rate is down 38% quarter-over-quarter because every handoff feeds the next sweep.
When the truck flags an obstacle, the operator's phone buzzes before the wheels stop turning. Median time-to-truck on an alert is 41 seconds.
Every sweep produces a structured record — acres swept, autonomous time, porter work, incidents. The facility manager has the receipt before her first cup of coffee.
If your portfolio measures in sites, acres, and uptime — and you're tired of stitching together three vendors to get one lot clean — we're built for you.
Portfolios where SLA adherence, audit-grade service records, and predictable cost per sweep matter more than the cheapest hourly bid.
Multi-site retail and grocery operators whose lots have to be open-ready by 6 a.m., every morning, on a route-based service contract.
Operators managing mixed-use, office, and big-box portfolios who need one accountable vendor instead of three line items and three crews.
A lot looks easy from the satellite view. The work is in everything the satellite view doesn't show.
Outdoor autonomy is finally cheap enough to deploy. The labor side isn't recovering. And adjacent categories have proven the playbook. Outdoor parking-lot sweeping is the obvious next category — and it's still open.
Production-grade perception and planning are within reach of a small founding team — work that required a thirty-person research org five years ago.
Night-shift wages are up forty percent since 2019, retention is down, and the demographic that staffed this work has aged out. Legacy operators have run out of operational levers.
Indoor cleaning autonomy and outdoor mowing are well-funded multi-billion-dollar categories. Outdoor lot sweeping is the obvious next category — and it's still open.
Asorra is in build mode — assembling the founding team, the platform, and the first paid route. We're talking with facility buyers about pilot work and with senior engineers about joining the founding team.
Phase 1: prove the operating model. We're running Asorra as a single-operator company, getting the supervised-autonomy MVP working, and proving labor multiplication on a real route. Phase 2 (2028–2030) tests optionality across surgical acquisitions, industry licensing, and fleet-as-a-service. Phase 3 scales whichever path the data supports. Multiple monetization paths are deliberately preserved.
If you run lots, run routes, or you're a senior engineer who wants to build the operational stack behind the next generation of outdoor services — get in touch.
info@asorra.io →