Spatial OS
Live globe, district context, and command surfaces that read as operational infrastructure.
MODEL EARTH · EARLY WARNING OPS
Planetary-scaleresilience intelligence
Flood risk, hydrology, and climate operations in one command environment. Prove early warning with verified historical replay, not stock footage.
Live command preview · verified historical replay · API-driven
The water always comes
In Odisha, the rivers rise every monsoon.
In 1999, a super cyclone took thousands before a single warning reached the last village.
The technology to see it coming already existed.
It just never reached the people standing in the water.
ModelEarth exists to close that gap, to turn raw signal into the 72 hours a family needs to move to higher ground.
ModelEarth◆72h early warning◆Verified historical replay◆Rainfall · Rivers · Risk◆District command center◆Flood operations◆API-first intelligence◆ModelEarth◆72h early warning◆Verified historical replay◆Rainfall · Rivers · Risk◆District command center◆Flood operations◆API-first intelligence◆
Data tunnel
Step inside the live grid
Every region streams through a single addressable surface. Observation in, decisions out, with full traceability.
channels
rainfall · rivers · ml
cadence
live · replay · forecast
scope
District · expandable
Orbital deck
Built for real coordination rooms
Spatial UI that stays fast on field laptops. Depth where it helps decisions, not where it slows operators down.
Hex topology
Tessellated UI language inspired by mesh networks. Signal routing, not decoration.
Low-latency feel
Native scroll, coalesced motion, GPU-aware globe. Fast where it matters.
Meet Bhoomi G1 · In development
It watches the riverwhen no one else can
It sits where the cloud can't reach. On the riverbank, in the dark, through the storm.
When satellites are clouded over and networks go down, Bhoomi G1 keeps its eyes open, measuring water, rain, and ground truth where it actually rises. Named for the land it stands on, it is ModelEarth's last line of sight to the people downstream.
Hardware roadmap · field deployment trials
Initializing field unit
Signal lockedBhoomi G1
Our mission
Give every district in India a 72-hour head start on the water.
Not a dashboard for slide decks. A standing watch for the people who live where the rivers run.
01
Warning is a right, not a privilege
The districts most exposed to floods are the least likely to have early-warning tools. We build for them first.
02
Trust is earned in replay
Anyone can claim a forecast. We let you rewind real floods and watch when our system would have raised the alarm.
03
Built in India, for India’s rivers
Local hydrology, local rainfall, local ground truth. Not a foreign model bent to fit a map it has never seen.
Who we're for
For the peopledownstream
Every score, every alert, every replay points back to one place: the home at the river's edge, and the family that has nowhere higher to go.
And it points to one person too. The district officer at 3 a.m., with half the data and all of the responsibility, deciding whether to wake a town. We build so that call is never a guess.
“A warning that arrives in time is the difference between a story and a statistic.”
ModelEarth
Built like a flight console. Not a slide deck
Every surface is built for flood-season operations: fast reads, honest empty states, and evidence you can defend in a briefing.
Orbital context
District maps, river context, and live telemetry in one spatial view. Built for situation rooms, not slide decks.
Signal fusion
Built for multi-layer climate ops. Rainfall, hydrology, risk, and ML observability in one rail.
Stacked intelligence
Composable modules you can ship to NOCs, agencies, or field teams without diluting the brand.
Model-ready
Wire your own inference, rules, and replay jobs. The UI is engineered for production paths.
Always-on UX
Glass telemetry, alert streams, and replay panels stay readable under pressure. Designed for 3am coordination calls.
Navigate faster
From landing to command center in one click. Same visual language your field team and leadership already trust.
Hologram deck
Operational surfaces,
stacked in parallel.
Risk maps, alert streams, forecasts, and replay proof. Composable surfaces on one typed API, so ops and analytics stay in sync.
typed sdkzod validatedwidget-isolatedreplayable
Risk surface
risk_score · rule · ml · final
risk_score
live
rule_score
live
ml_score
live
final_score
live
severity
live
trend
live
Geospatial theatre
mapbox · districts · severity
Alert stream
active-first · severity tags
Mahanadi spike · Cuttackcritical
Rainfall anomaly · Puriwarning
Replay job completeinfo
Forecast deck
rainfall · baseline · horizon
Signal path
From observation to decision
How rainfall becomes a district briefing. Clear stages, no buzzword soup.
Ingest
Multi-orbit & ground truth
Hydrology
Rainfall, rivers, basins
Models
Rules + ML + replay
Ops
Alerts, replay proof & command
ModelEarth stack
One loop: observe, score, prove
Three composable surfaces wired to the same API. From live signals to flood scoring to verified historical replay.
ClimateObserve
Rainfall, rivers, basin context
Live hydrology and precipitation fused for district operations. See what changed before water levels breach thresholds.
FloodPredict
Hybrid rule + ML scoring
Flood risk scored with transparent rule logic and ML shadow mode. Built for briefings where every hour of lead time counts.
Replay Proof
Verified historical flood events
Replay real flood onset against your alert policy. Prove when districts would have been warned, with audit-ready evidence.
The loop
Observe → reason → act
Scroll through ModelEarth's operating loop. Each stage is a real surface in the dashboard, not a marketing claim.
01 · OBSERVE
Capture every signal that matters
Rainfall, river levels, satellite features, and field telemetry, fused without dropping provenance.
02 · REASON
Rules, ML, and replay, together
Run rule-based scoring beside ML inference, with shadow-mode comparison so trust is earned, not assumed.
03 · ACT
Decisions land in operations, fast
Alerts feed, forecast deck, and replay panels are wired end-to-end. No extra "BI tool" required.
Spec matrix
- ArchitectureAPI-first · widget-isolated degradation
- SurfaceOperational command + verified historical replay
- GeospatialDistrict-aware risk maps and basin context
- TrustExplicit empty / loading / retry. No toy metrics
ModelEarth command surface
Real-time flood and hydrology intelligence in the command surface your team actually runs during monsoon season.
Why we built this
I grew up where the rivers decide the year. When the water comes early, it doesn't make the news. It just quietly costs people everything.
We have satellites overhead and models in the cloud, yet the warning still arrives last where it matters most. ModelEarth is my attempt to flip that order: to put the same intelligence a national agency has into the hands of the district officer making the call at 3 a.m.
If we can buy one family one more day, the whole thing was worth building.
Swayam Debata
Founder, ModelEarth
Horizon
The next flood is already forming somewhere
Let's make sure someone sees it in time. Explore the live command center today, or bring ModelEarth to your district and rewind a real flood to see when we'd have raised the alarm.