Early low-flow onset
Identify formation of a new low-flow episode before it becomes obvious in current observations, creating an earlier decision window.
For hydrology platforms & integration partners
Physical Intelligence for Operational Hydrology.
PHESTRA is an AI-compatible, physically interpretable intelligence layer for hydrology platforms, combining state, trajectory, risk, explanation and monitoring priorities.
Platform-independent • API-first • Cloud, private and on-premise deployment
Existing hydrological dataObservations, telemetry, historical series
Forecast inputsAI, ML or hydrological model outputs
↓
PHESTRA Intelligence LayerPhysically interpretable state + transition intelligence
↓
StateWhat is happening now
TrajectoryWhere the system is moving
RiskWhat may happen next
WHYWhy the result matters
Transition-focusedEarlier recognition of developing hydrological risk states.
Physically interpretableState, trajectory and evidence remain understandable to specialists.
Model-independentThe intelligence layer remains independent of the underlying forecast model.
Commercial capabilities
One intelligence layer. Multiple hydrology functions.
PHESTRA is designed to answer the questions hydrologists and water platforms need in one consistent analytical framework.
Short-horizon high-flow risk
Estimate the probability of crossing a calibrated high-flow level over the coming days as an additional operational risk layer.
Current physical state
Convert available observations into a compact, physically interpretable view of the current river or basin state.
Trajectory
Track how the system is developing over time instead of treating the latest measurement as an isolated number.
WHY
Explain the evidence, current state and forecast path supporting the result so specialists can inspect the logic, not just receive a score.
What changed
Turn consecutive analyses into a concise view of the changes that matter most since the previous issue.
What to watch next
Prioritize the measurements, state changes and missing inputs most likely to affect the next assessment.
Data sufficiency
Distinguish “low risk” from “not enough information” and surface what is missing before a result is treated as decision-useful.
Operational brief
Compose state, risk, explanation, changes and monitoring priorities into one bounded hydrologist-facing summary.
Why PHESTRA
Built for the gap between data platforms and decisions.
Modern platforms already manage data, visualization and model workflows. PHESTRA adds a portable layer for interpretable state, transition intelligence and evidence-bound explanation.
Physical intelligence
Transforms observations and forecast inputs into a physically interpretable view of state, trajectory and operational meaning.
Transition intelligence
Focuses on how a risk state is developing before a threshold event becomes obvious — especially valuable for slow-forming conditions such as low flow.
AI & forecast model compatibility
External AI, ML and hydrological forecasts can be connected as inputs. Models can be replaced or upgraded without rebuilding the PHESTRA intelligence layer.
Fast operational computation
Designed for frequent updates, batch analysis across many objects and operational workflows without a separate heavy research stack.
Platform independence
Connects through APIs and adapters so the intelligence layer can travel across customer environments without forcing a platform replacement.
Flexible deployment
Supports cloud, private-cloud, on-premise and restricted environments to fit different platform and customer security requirements.
Integration model
Your platformData • telemetry • workflow
→
API / adapterMapped input & output contract
→
PHESTRAState • trajectory • risk • WHY • monitoring
Deployment
Fit PHESTRA to the customer’s security model.
The same intelligence capability can be delivered in different operational configurations depending on data sovereignty, integration and procurement requirements.
Cloud APIFastest path for platform integration and evaluation.
Private Cloud / VPCDedicated environment for enterprise security requirements.
On-PremiseLocal deployment inside the customer or partner environment.
Offline / RestrictedClosed configurations for sensitive or disconnected operations.
Platform integration path
From interface mapping to commercial availability.
PHESTRA is designed for integration into existing hydrology platforms and operational workflows as a new intelligence capability.
01Define the interface
Select the first PHESTRA capability and map required inputs and outputs to the platform.
02Build the connector
Implement the API or adapter route using the platform’s supported integration mechanism.
03Run round-trip testing
Verify data exchange, result mapping, fail-closed behavior and operational compatibility in a sandbox.
04Define commercial rollout
Choose partner integration, customer-specific deployment, OEM/embedded capability or direct service licensing.
Partner with PHESTRA
Add a new intelligence capability to your hydrology platform.
We are open to technical integration, platform partnerships and customer-facing deployment models.