AgentNeo builds AI agents and environmental monitoring and early-warning platforms and takes them all the way to production — and publishes the methods, the data and the safety layer behind them in the open.
The tooling behind these accounts is single-operator — runs locally, posts on behalf of one human.
CopernicusFeatured
Monitoring and early warning for water and land: satellites, hydrometric and weather networks and forecast models to anticipate floods, storm surges, waterlogging, wildfires and declining water quality, for governments, companies and gated communities. Live river levels at 52 gauges, storm-surge alerts for the Río de la Plata.
🏆 1st Prize — CarpinchIA 2026 · Universidad Nacional del Delta Sentinel-2 · ESA CopernicusGEOFUEGO
Argentina's wildfire map: NASA FIRMS satellite hotspots every 3 hours, history since 2012, and the GeoFuego Index (GFI) — a seasonal fire-risk traffic light with a published method.
Open method · DOI 10.5281/zenodo.23017740Your Best Employee
A hireable team of 4 AI employees — reception, sales, social & coordination — answering every message 24/7. The whole fleet, as one team.
SENT
Neighborhood reports on autopilot: a photo and a location over WhatsApp — the administration manages every case on the community's map, in real time.
Luz Vera
Our flagship agent — a fully-AI creator who demystifies agents (and sells them)
The safety layer between an AI agent and the strangers it talks to.
Put an agent on a public channel — a WhatsApp line, a support chat — and anyone who messages it can prompt-inject it or pull out private data. You can't stop the model from drafting a reply; by then the draft exists.
So instead of sending it, we hold it — and a senior AI agent audits it first.
Approval gates usually need a human. Here the reviewer is a senior AI agent — so it scales. Junior drafts, senior approves. Tested live against prompt-extraction, instruction-repeat and social-engineering attacks — none got through.
The datasets and methods behind our satellite products are published with a DOI, so anyone can cite, reproduce and audit them.
The portable runtime our agents are built on — a single, vendor-neutral chassis you run yourself.
Most agent runtimes are a thin wrapper around one vendor's SDK. NEO Portable puts the model behind an interface — the same loop has run end-to-end on local and frontier models alike. Swap the brain, nothing else changes.
Every tool call passes through a held-by-default gate — nothing runs unless it's explicitly allowed. Safety designed in, not bolted on.
Cheap local models do the leaf work; a frontier model is lit up only when judgment is required — so it runs anywhere you do and costs nothing when idle. The safety membrane is the same pattern we open-source as Agent Audit Gate.