Autonomous
logistics for
healthcare
Hospitals are not limited by medicine.
They are limited by operations.
Invisible ops
Nurses spend hours on logistics
No system of record
No system of record for internal movement
Manual delivery
Deliveries are manual and inconsistent
Every hospital runs thousands of deliveries per day
None of it is tracked.
DistanceNone of it is optimized.
Time
Product
Robot
Routing System
Data layer
The data layer
is lost
happen
actually move
Why Now
The operating system for physical logistics
in healthcare
Fully autonomous facilities
Real-time operational intelligence
AI-optimized throughput
Our Proposal
Expansion is built in
One floor of robots today.
A full hospital tomorrow.
Team
Dr. Gabriel Shvets
Leads strategy, partnerships, and deployment of autonomous robotic systems. With a background in dentistry and business, he focuses on bringing scalable robotics solutions into real-world environments.
Sudhir Pratap Yadav
Leads the development of autonomous systems powered by learning, perception, and control. Specializes in reinforcement learning, vision-based navigation, and scalable simulation.
Vishwanath R
Focuses on reinforcement learning, locomotion control, and sim-to-real transfer. Builds adaptive control systems for robots operating in real-world environments.
Competition Comparison
| Dimension | OAA | Aethon | Diligent | Relay |
|---|---|---|---|---|
| Hardware (Upfront) | $16K → <$8K | ~$105K | ~$50K | ~$40K |
| Monthly OpEx | ~$3.5K | ~$4.5K | ~$5.5K | ~$3.5K |
| EMR Integration | HL7 / FHIR | Partial | Limited | None |
| Total 3-yr Cost | ~$680K | ~$1.3M+ | ~$1.25M+ | ~$0.83M+ |
Customer ROI: Labor Savings as the Floor
Labor is the floor. The bigger upside is clinical throughput:
- Bed Turnover: Command-center programs cut bed-assignment time ~30%.
- RN Retention: Reduces interruptions and burnout (saves $40–60K per turnover).
- Patient Flow: Minor bumps in flow exceed entire labor savings at margin.