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AIVOT’s first public pitch was straightforward: rent a robot to take on repetitive work that is hard to staff. In 2023, the Seattle startup’s robots were reported labeling bottles at Evergreens and packing takeout meals at Marjorie. The company’s current website presents a broader proposition: software intended to teach and run robots across several kinds of hardware. Those are promising ideas, but the available evidence describes early pilots and company claims—not proof of large-scale deployments, reliable output, or lower costs than human labor.
From bottle labels to a broader robotics platform
The practical example behind AIVOT’s “robots for hire” pitch was not a robot replacing an entire restaurant team. At Seattle salad chain Evergreens, a robot was used to apply labels to bottles for a new beverage line, a task the company reportedly had difficulty staffing. At restaurant Marjorie, robots were used to package takeout meals in boxes and bowls. These were specific, repetitive jobs—not evidence that a robot could independently run a kitchen or store.
GeekWire’s April 3, 2023 report described AIVOT as a Seattle startup founded by former Dell EMC engineers. It named CEO and founder Shashwat Srivastav, previously a Dell EMC vice president of engineering and a Microsoft Azure principal development lead; CTO Sriram Sankaran, previously an Amazon engineering manager and Dell EMC senior director; and founding engineer Igor Medvedev, previously a Dell EMC software developer. The report said the company had bootstrapped since 2017 and had a handful of pilot customers.
There is a date discrepancy worth keeping in view: GeekWire said the company had been bootstrapped since 2017, while AIVOT’s LinkedIn page lists 2021 as its founding year. The sources do not explain the difference, so neither date should be treated as a settled legal founding date.
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The company’s framing has also broadened. The 2023 story focused on a rentable humanoid robot. AIVOT’s current website, reviewed in August 2026, describes a hardware-agnostic robotics software platform intended to work with robotic arms, autonomous mobile robots (AMRs), unmanned ground vehicles (UGVs), and quadrupeds. That suggests a shift or expansion in positioning; the available sources do not establish when or why it happened, or whether the original hardware has been abandoned.
What the system is supposed to do
AIVOT describes a workflow in which a person demonstrates a task, gives spoken instructions, and offers feedback so the system can refine what it does. Its current materials also emphasize computer vision, mobility, multimodal sensors, dexterous manipulation, reusable skills, and decision-making. The 2023 examples included scooping, pouring, placing objects, applying labels, moving items, cleaning, and packaging meals, with possible applications in warehouses, fulfillment centers, and retail stores.
In principle, teaching by demonstration and adapting instructions could help automate jobs that change too often for a fixed machine but still contain repeatable steps. In practice, “can perform a task” is not the same as “can perform it at production speed, safely, all shift, with little human help.” A robot that handles a bottle on a clear work surface may struggle when packaging changes, objects stick together, lighting shifts, or people move through its workspace.
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What the pilots show—and what they do not
The Evergreens and Marjorie examples establish that AIVOT had pilots involving concrete food-service tasks. AIVOT still features an Evergreens case study on its website, including praise from Tom Small, identified as the company’s president and COO. That is evidence the company continues to use the case study in its marketing; by itself, it does not establish whether the deployment is still active, how long it ran, how much it produced, or whether it improved the restaurant’s finances.
That distinction matters for any business deciding whether to spend on automation. A pilot can demonstrate that a machine completes a task under selected conditions. Commercial validation requires more: sustained uptime, consistent throughput, manageable intervention rates, dependable service, and savings or added capacity that justify the full cost. The available coverage does not provide independent figures for AIVOT’s uptime, error rate, successful units per hour, human interventions, payback period, customer retention, revenue, or deployment count.
Nor does the evidence establish what happened to workers. The 2023 story presented automation as a way to let employees focus on training or more skilled work. That is a stated rationale, not proof that employees were retrained, retained, had hours restored, or saw better working conditions. Automation can address a hard-to-fill task, change job duties, reduce hours, or create monitoring and maintenance work; which outcome occurs depends on the employer and deployment.
What “robot for hire” cost in 2023
GeekWire reported these monthly usage tiers in 2023:
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| Monthly usage | Reported monthly price | Implied price per included hour |
|---|---|---|
| 40 hours | $1,600 | $40.00 |
| 60 hours | $2,200 | About $36.67 |
| 80 hours | $2,600 | $32.50 |
The implied hourly figures simply divide the reported monthly price by the included hours. The effective rate fell at the larger tiers, but the report does not say whether those prices included installation, training, repairs, software updates, human supervision, travel, downtime, consumables, integration, insurance, or other charges. They are historical rates, not a current quote. No public price list was identified on AIVOT’s website in the materials reviewed in August 2026.
For a business, the useful comparison is not a robot’s subscription against an employee’s wage alone. A more realistic calculation is:
Total operating cost = subscription + setup + supervision + maintenance + downtime + training + any required space or safety changes.
Then compare that total with the cost of getting the same number of successful tasks done by existing staff, overtime, temporary staffing, outsourced labor, or a conventional machine. The robot must deliver enough reliable output to cover its full operating cost. If a worker must frequently reset it, retrieve dropped items, inspect its work, or stand by in case of a failure, that time belongs in the calculation too.
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Renting or subscribing can reduce the upfront capital commitment compared with buying and maintaining a custom system. It does not automatically make automation cheaper. A business should also understand contract length, cancellation rights, replacement arrangements, responsibility for damage, and what happens if the pilot misses agreed performance targets.
When a flexible robot might make financial sense
AIVOT’s pitch is aimed at a gap between human labor and conventional automation. Fixed-purpose machinery—such as a conveyor, packaging machine, vision station, or industrial robotic arm—can be fast and economical when products and workflows are stable and volumes are high. But custom automation can be a poor fit when the task changes frequently, the business cannot justify the upfront investment, or the site lacks robotics expertise. A reusable platform could be more attractive in that middle ground, if it can handle variation without demanding extensive engineering or supervision.
Before a trial, a buyer should define a measurable task and test the system under ordinary operating conditions, including busy periods. Useful questions include:
- Task and variation: What counts as a completed task? How often do products, packaging, tools, or instructions change?
- Output: How many successful units does it complete per hour over a full shift, not just during a demonstration?
- Human involvement: How often does someone need to intervene, reset the system, clear a jam, recover an object, or check quality?
- Uptime and service: What uptime is measured over full shifts? Who responds to breakdowns, and how quickly?
- Safety and integration: Does it fit existing workstations and cleaning routines? What guarding, speed limits, emergency stops, worker training, or workflow changes are required?
- Resilience: What happens with poor lighting, reflective surfaces, clutter, occlusion, changed packaging, a network outage, or a depleted battery?
- Economics and exit: What is the all-in cost per successful task? What are the contract, cancellation, liability, data-ownership, and replacement terms if the pilot fails?
Some environments pose special challenges. Food-contact equipment must be cleanable and compatible with sanitation procedures. Deformable, sticky, fragile, spilling, hot, or sharp objects may require different tools and safeguards. Unexpected human movement requires a safety assessment, not just a successful manipulation demo. If a robot gets stuck, someone may have to enter its workspace; that recovery process should be planned and tested. Buyers should also ask whether performance depends on cloud connectivity, how charging affects shifts, and how the company supports geographically dispersed sites.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.How AIVOT compares with other automation options
“Robots for hire” is not one product category with a single obvious alternative. A stable, high-volume job may be better served by purpose-built machinery or a conventional robotic arm. A moving load in a warehouse may call for a mobile robot rather than a humanoid form. A variable task that still needs a human to handle exceptions might suit a supervised or teleoperated system. The right comparison is the cost and output of complete solutions for the same task—not a comparison of labels such as “AI,” “humanoid,” or “autonomous.”
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For example, Avatar Robotics describes a different model combining humanoid robots, remote human operators, and AI autonomy, with hourly pricing described as competitive with skilled human operators but no specific public rate identified in the reviewed material. That approach places an explicit human-in-the-loop option in the picture. It should not be assumed to be cheaper or more capable than AIVOT: the sources do not provide a controlled performance or cost comparison.
A wider market pitch, with the same proof burden
AIVOT’s current website lists applications across food services, defense, retail, logistics, manufacturing, and healthcare. A 2024 Association of the United States Army profile said the company’s software was complete, that it intended to finalize custom hardware after defense pilots, and that it was pursuing manufacturing and other high-mix applications. That profile offers context for the company’s broader ambitions, but it is not independent evidence of commercial scale, revenue, active deployments, or performance.
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Random freezes, missing sound and display glitches usually trace back to one bad driver. Find and replace yours safely.Free scan · under a minuteAs of the August 2026 materials reviewed for this article, AIVOT had an active-looking website and a broader software-platform pitch, but the sources do not establish its current customer count, financing, headcount, revenue, deployment volume, current pricing, or whether the named restaurant deployments remain active. The available evidence therefore supports describing AIVOT as a company with reported pilots and an evolving robotics proposition—not as a proven, scaled labor substitute.
For a business owner, the decision is ultimately a unit-economics question: can this system complete a clearly defined job at acceptable quality and speed, with safe operation and limited intervention, for less than the value of the alternatives? Until buyers can see sustained field data answering that question, a carefully scoped pilot is more defensible than assuming that a robot advertised as adaptable will pay for itself.
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