Each product works on its own. Together they share one data model, from the floor plan to the final ROI figure.
- 01 · Ready
Site Readiness
Is this building ready for robots?
- 02 · Run
Fleet Console
Run a ground robot fleet, live.
- 03 · Run
Air Ops
Run a drone delivery network.
- 04 · Prove
Fleet Analytics
Prove what the fleet saves.
Runs fully offline on a single laptop. All fleet data shown is simulated, and all sites are fictional.
Is this building ready for robots?
- Turns a floor plan into a clearance map
- Scores readiness out of 100, with the breakdown shown
- Lists each issue with its location and a fix
- Tests a change before anyone builds it
- Exports the map straight into Fleet Console
Every issue: where, why and the fix
Each issue has a What if button that re-scores the site with the fix applied.
Run a ground robot fleet, live.
- Dispatches tasks by priority, distance and battery
- Plans paths sized to the robot’s real footprint
- Avoids collisions and clears corridor deadlocks
- Block a corridor and the fleet reroutes live
- Takes instructions in plain language
Run a drone delivery network.
- Altitude lanes by heading, with 50 m horizontal and 15 m vertical separation
- Automatic go/no-go: energy with 25% reserve, wind, airspace, payload, dock
- Handles low battery, weather holds and new restrictions on its own
- Compares every delivery against a road courier
Prove what the fleet saves.
- Hours saved, net saving and payback, built from event data
- Live from running fleets, or from stored runs
- Simulate a fleet size and compare runs side by side
- Every assumption visible and editable
- Insights computed in code; AI only words them
Prove · Compare
Test a fleet size before buying
Same hospital, same week, 6 robots against 8. Eight robots cut average wait by 38% and p90 delivery by 23%, but cost $999 more over the week, so net saving is lower. For this site, 6 robots is the better buy, and the summary says so in plain language, written from the numbers.
Prove · Report
A report your customers can read
Hours saved, net saving, payback and volume on one page. Demand by zone and hour to plan the right fleet, fleet changes marked on the chart with their effect, and a PDF with a daily CSV for finance.
- Floor plan
- Facility or airspace map
- Simulation engine
- Event log
- Analytics and ROI
Deterministic
Same seed, same result. Every run can be reproduced and tested.
Numbers from code
AI never invents a figure. It only words results the code computed.
Offline first
No cloud and no API keys needed. One command starts everything.
Built to connect
An event ingestion API today. Designed to connect to ROS 2, MAVLink autopilots and warehouse systems.
The VLA decides how to pick up the item. The fleet platform decides which robot, when and where. We build both layers.
Physical AI & VLAWe run the platform on screen and map it to your operation.
Or email Muhammad Mursil, founder: founder@agentve.ai