Supervised robots · Existing stores · No CapEx

Bridging the gap between AI and your business.

Human-supervised robots pack online grocery orders in your existing stores — under $2.8 per order, all in. Pay per order. Cancel any month.

Start with the night shift See the economics

The stakes

Online order economics are broken

The store that fixes them first wins. Picking labor is the problem — every hand-packed order carries $8–12 of labor on a business that nets ~2.1%.

$8–12 Labor per hand-packed online order — roughly 10% of the ticket.
~48% Annual picker turnover. Wages are up ~20% in five years.
75% cheaper Revere Bots packs online orders under $2.8 all-in, in your existing footprint.
“Manual store-based fulfilment tends to hit a ceiling at around 12–15% online penetration.” — McKinsey & Company, The State of Grocery North America 2026

The trend

Online became one dollar in five of grocery

+20% vs <2% Online vs. store growth — six straight quarters.
~75% Of 2025 grocery dollar growth was e-commerce.
27–37 min Staff time per online order — up to 125% more labor per basket.

The offer

More orders per labor hour

Our economics let you expand the market for digital orders — without CapEx, and with the right to cancel any month.

Typical metro staff

~60¢

per item

~$12 on a 20-item order
$25/hr · ~60 items/hr

Revere Bots

15¢

per item

$3 on a 20-item order
Pay per order · no CapEx

  • Reuse the store you already have No dark-store buildout. 30,000–140,000 SKUs stay where they are.
  • Human-supervised robots Remote operators supervise every pick while autonomy compounds.
  • Ride the automation curve down Start on the night shift tonight. Cost falls as supervision retires.
  • Price follows hours of operation As low as 6¢/item day+night; 25¢ nighttime only. We amortize the robot.

How we get there

Useful work today. Autonomy next.

We deploy supervised robots into messy retail environments to solve fulfillment now — and train foundation models for physical AGI on the contact of real work.

  1. Deploy on real jobs

    L2 robots in stores, supervised remotely.

  2. Solve fulfillment

    Pack online orders cheaply tonight — value before solo autonomy.

  3. Train on contact

    Every hour becomes force, tactile, proprioception, and social context.

  4. Climb L2 → L4

    Retire supervision step by step as capability compounds.

Retail is the most diverse environment for true scaling — contact and social diversity that labs and household stacks cannot buy.