SkyLogic

Building the AI Coordination Platform for Medical Drone Delivery

Helping hospitals plan, prepare, and coordinate time-sensitive drone deliveries across facilities, operators, routes, and infrastructure.

Starting with AI-supported deployment planning. Expanding toward live coordination across broader autonomous delivery networks.

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  • Delivery demand

    Hospital · Lab · Pharmacy

  • Planning & coordination

    SkyLogic

  • Delivery capacity

    Operators · Aircraft · Routes · Infrastructure

Time-Sensitive Medical Deliveries Still Depend Heavily on the Ground

Hospitals and health systems move lab samples, blood products, medications, test kits, supplies, and critical equipment between facilities every day.

Ground transportation is essential and will remain so. But selected urgent routes can still be affected by conditions outside anyone's control.

For the right missions, drones can add a faster and more predictable delivery option—but healthcare organizations need to know where they fit and how to prepare for deployment.

A typical urgent route

Facility AFacility B

Variables along the way

  • Traffic
  • Distance
  • Driver availability
  • Unpredictable demand
  • Regional and rural access

Why Medical Drone Delivery Is Becoming Practical Now

Operating evidence, regulation, aircraft, and healthcare use cases have all advanced. Customer-side planning and cross-provider coordination remain less standardized.

  • Real Commercial Operations

    Proven
    3M+commercial deliveries completed globally

    Totals span healthcare, retail, food, and other delivery categories — not medical deliveries only. Zipline has completed more than 2 million deliveries across four continents, while Wing has completed more than 1 million commercial deliveries across three continents.

  • Regulation

    Advancing
    Approved operators already fly programmed missions beyond direct visual line of sight. Broader national rules are advancing.

  • Aircraft Capability

    Proven for selected missions

    Local models

    ~8 lb payload · ~10-mile radius

    Long-range models

    ~4 lb payload · 120+ miles round trip

    Different aircraft serve different missions. No single aircraft offers both maximum payload and maximum range.

  • Healthcare Use Cases

    Demonstrated
    Healthcare drone operations have transported lab specimens, medications, blood products, prescriptions, and clinical supplies.

  • Customer-Side Planning

    Emerging
    Planning and coordination remain divided across providers, consultants, internal teams, and specialized systems.

    SkyLogic's proposed entry point

Sources: publicly reported delivery totals and program information from Zipline and Wing; FAA guidance and rulemaking on beyond visual line of sight operations; publicly documented healthcare drone delivery programs. Figures are approximate and change over time.

Decide. Deploy. Coordinate.

One workflow, built in the order a healthcare organization actually needs it.

  • 01

    Decide

    Which medical deliveries and routes make sense?

    • Urgency and payload
    • Existing delivery routes
    • Facilities
    • Geography and airspace
    • Operational and financial value
  • 02

    Deploy

    What must be prepared before operations can begin?

    • Launch and receiving sites
    • Workflow integration
    • Infrastructure
    • Handoffs and operator requirements
    • Safety and regulatory planning
  • 03

    Coordinate

    How should delivery demand eventually be matched across operators, aircraft, routes, and capacity?

    • Delivery requests
    • Mission priorities
    • Aircraft suitability
    • Operator availability
    • Scheduling and capacity

Realistic progression

One healthcare system → one high-value route → one qualified operator → one repeatable workflow

Later: multiple facilities → multiple routes → multiple providers

AI-Supported Medical Drone Deployment Planning

The current clickable MVP demonstrates the planned assessment and deployment-planning workflow end to end.

Questions the system is designed to answer

  • Which deliveries make sense?
  • Can the facility support drone delivery?
  • Which routes are practical?
  • What infrastructure must be prepared?
  • Which operator and aircraft fit?
  • What is the business case?
  • What gaps remain before launch?
SkyLogic — Deployment Planning (MVP)

Readiness assessment

  • Delivery mode fit82

    Would drone delivery offer a meaningful advantage?

    Strong fit
  • Route feasibility74

    Can a drone practically make this trip?

    Practical
  • Facility readiness58

    Can both sites support drone delivery?

    Partial
  • Workflow readiness46

    Can it fit into daily operations?

    Needs validation
  • Operator & aircraft fit63

    Who can serve the area, and which aircraft fits?

    Candidates identified
  • Service & business case69

    Is it worth doing?

    Promising

Candidate route

Facility A → Facility B

Mission profile

Lab samples · Time-sensitive

Assessment summary

Promising pilot candidate

Strength
Time-sensitive recurring mission
Needs validation
Facility workflow
Next step
Operator / aircraft comparison

Illustrative interface — non-customer sample data

Key customer deliverable

A prioritized pilot recommendation covering route, facility, operator, infrastructure, cost, time, workflow, and implementation requirements.

Current MVP demonstrates the assessment workflow. Real data integrations, automated comparison, and deployment monitoring are still being built.

Explore a design partnership →

From MVP to Platform

The planning product is intentionally building the workflows and structured deployment intelligence a coordination layer would later need.

  1. Today

    Clickable planning MVP

    Structured readiness categories, mission and facility inputs, initial scoring, and a clickable results experience.

  2. Next

    Integrated deployment intelligence

    Healthcare-logistics data, geospatial and route analysis, airspace and regulatory data, operator and aircraft comparison, cost and service-level modeling.

  3. Long term

    Multi-provider coordination platform

    Delivery requests, mission prioritization, operator and aircraft matching, scheduling, capacity coordination, benchmarking, and APIs.

Intended learning loop — not yet operating at scale

  • More deployments
  • Better benchmarks
  • Better decisions
  • Stronger coordination

A Customer-Side Coordination Layer

Planning that begins with the healthcare customer, before a delivery provider is selected.

  1. Hospitals · Labs · Pharmacies

    Delivery demand and priorities

  2. SkyLogic

    Plan · Compare · Prioritize · Coordinate

  3. Operators · Aircraft · Routes · Infrastructure

    Delivery capacity and execution

Dashed return path — availability, capacity, and performance information flowing back to SkyLogic is a future capability, not a current live integration.

SkyLogic aims to coordinate the customer-side workflow without owning the aircraft.

SkyLogic is being designed as an operator-agnostic, customer-side planning and coordination layer.

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Starting Where Time and Reliability Matter

Healthcare is the clearest starting point because urgency, predictability, and handling requirements are already well defined.

Deliveries are frequent, routes are known, payloads are small, and delays carry real clinical cost. That makes healthcare the right place to prove a repeatable planning workflow before expanding.

  • Lab samples

    Time-critical diagnostics

  • Blood products

    Cold-chain sensitive

  • Medications

    Urgent replenishment

  • Test kits & supplies

    Recurring small payloads

  • Critical equipment

    Unplanned, high-impact

What makes a strong early candidate?

  • Lightweight
  • Time-sensitive
  • High-value
  • Ground-constrained
  • Repeatable
  • Operationally important

Not every medical shipment should move by drone. SkyLogic is designed to help identify where air delivery creates meaningful operational value.

Patrick Johnson, Founder and CEO of SkyLogic

Founder

Built on 17 Years of Aerospace Systems and Operations Experience

Patrick Johnson · Founder & CEO

Patrick brings 17 years of experience across complex aerospace systems, manufacturing, product development, operational readiness, customer delivery, and global supplier networks.

That experience informs SkyLogic's systems-based approach: aircraft are only one part of the problem. Getting a new delivery method into a hospital's daily operations means coordinating stakeholders, workflows, infrastructure, and operational requirements first.

SkyLogic is being built to give healthcare organizations a structured way to evaluate that decision, and a realistic path to a first operational route.

  • 17 years in aerospace
  • Complex systems & operations
  • Manufacturing & product development
  • Global supplier networks

Connect on LinkedIn →

Help Define the First Healthcare Drone-Delivery Workflow

SkyLogic is seeking healthcare design partners to identify and evaluate a high-value route, compare the existing ground workflow with a drone-delivery option, and define the business case and pilot requirements.

  • Healthcare organizations

    Explore a design partnership and help shape the planning workflow around real routes and real constraints.

  • Drone operators & providers

    Connect with customer-side demand as healthcare planning becomes more structured.

  • Advisors & early supporters

    Follow the build and share operational, clinical, or regulatory perspective.

Contact

Patrick Johnson

Founder & CEO, SkyLogic

Explore a Design PartnershipConnect on LinkedIn

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