World models
Pretrained representations of every place you operate, plus the public Earth ledger from emem.dev. Use as training fuel or as the ground truth your evaluation suite needs.
Earth memory for production AI.
Cameras, drones, satellites, sensors, files, OSM. Twelve sources fold into one private memory of every place your operation cares about. You own it. Your agents ground in it instead of inventing.
agent recallwhat your agent calls
> recall("our pipeline corridor", "this week")
4 sensors fused. 1 alert raised. 18 cameras polled.
receipt attached.
> query("public earth at the same place")
cited from emem.dev. signed and tamper-evident.
Earth memory, built for teams whose AI has to be right about places and times.
AI agent teams
Your agents call your memory before they answer. Every reply ships with a signed, tamper-evident receipt. The agent cites; it does not invent.
Robotics
Real perimeters, real terrain, and recent ground state for a place. Drone overflights, registered cameras, fused into one memory the robot can recall before it acts.
Aviation and drones
Live RTSP, HLS, RTMP, ONVIF, WebRTC ingest. Corridor automations and per-sensor alert triggers, all in one inbox.
Space and EO
Comes pre-wired to query the open emem.dev Earth ledger. Public Earth, signed and citable; your private Earth stays inside your tenancy.
Physics-guided ML
Aligned multi-sensor history at 10m precision. Sentinel-1 SAR through cloud and night. Weather reanalysis at 15-minute cadence.
How a memory forms.
Six pipelines, one destination. Every memory is searchable, recallable, and never leaves your tenancy.
sources to memory
satellite fetch · spectral · lulc · detect · scene · embed · index camera capture · segment · detect · scene · calibrate · embed · index drone telemetry · capture · detect · ortho · embed · index file parse · analyze · segment · context · embed · index osm query · classify · enrich · embed · index tools discover · fetch · normalise · embed · index
Every memory is linked to its asset, its sensor, its alert status, and the run that produced it. Audited with a full audit trail.
You own the memory.
Per-org scoping. An organisation filter on every read. No code path writes your memory outward to any public registry. The boundary is enforced in the codebase, not in marketing copy.
Public Earth memory at emem.dev. Open. Cite freely. Your private Earth stays separate. Your agents read public Earth and write your private Earth in one chat. The line never crosses.
One agent, in production.
An aviation operator monitors a 1,420 km pipeline corridor. Drone overflights run every 36 hours. Sentinel-1 SAR backscatter updates every 6 days. Eighteen RTSP cameras stream continuously. Telematics arrives in real time.
Each input forms a memory at the place that emitted it. The on-call agent has one tool: recall. When backscatter delta exceeds three sigma, the agent pages a human and cites the memories that triggered it. Every alert ships with a signed receipt. Three months in, the operator runs a quarterly review by querying the memory directly. No tile re-download. No model re-run.
production deployment · 1,420 km corridor · 18 cameras · 4 sensor families · audit trail on every alert
Stop your agents guessing about places they have never been.