# Senlay

Senlay is a spot-level physical-world verification engine for outdoor recreation, indie developers, SmartSurf, and safety workflows. It cross-checks weather models, live sensors, METAR, marine data, GPS/device telemetry, and local domain logic to produce source-aware decision context with provenance, freshness, confidence, risk_event output, and model-vs-reality divergence flags.

Its first commercial proof is SmartSurf: an AI-assisted water-sports safety system for water-sports riders, boards, schools, stations, and lifeguards (https://smartsurf.global/).

## Product category

Physical-world verification layer for safety-critical AI, IoT, SmartSurf, and autonomous systems.

## Primary use cases

- AI agents needing live environmental context
- drone/UAV go-no-go checks
- marine and watersports decision support
- outdoor work and field operations
- agriculture timing
- safety and rescue workflows
- private sensor network integration

## Key pages

- Homepage: https://senlay.world/
- Live demo: https://senlay.world/demo
- Agents: https://senlay.world/agents
- Live agent endpoint: https://senlay.world/agents/live
- Docs: https://senlay.world/docs.html
- Pricing: https://senlay.world/pricing.html
- Roadmap: https://senlay.world/roadmap.html
- Founder: https://senlay.world/founder.html
- Investor brief: https://senlay.world/investors.html
- Support: https://senlay.world/support.html
- OpenAPI: https://senlay.world/openapi.json
- Sensor catalog: https://senlay.world/sensor-catalog.json

## Core APIs

- GET https://senlay.world/api/v1/try-sense - no-key trial for chat/browser agents.
- GET https://senlay.world/agents/live - self-updating live context page.
- POST https://senlay.world/api/v1/agent-register - register an agent and receive an API key.
- GET https://senlay.world/api/v1/sense - authenticated plain-text physical context for LLMs.
- GET https://senlay.world/api/v1/pwm - authenticated structured JSON Physical World Model.
- GET/POST https://senlay.world/api/v1/risk-events - authenticated risk_event workflows for SmartSurf-style station, lifeguard, IoT, and audit use cases.

## Core API concepts

Senlay responses may include:

- measured/model environmental conditions
- source identity
- source type
- source distance
- timestamp
- freshness
- confidence
- disagreement between hardware and model sources
- decision_context
- risk_event records for operational alert and audit workflows
- context_string for LLMs
- structured JSON for applications

## Source families

Senlay uses the consistent wording "21 source families." These include weather and marine models, METAR/ASOS aviation observations, buoys, ship observations, tide gauges, coastal current services, USGS water context, air quality networks, terrain/elevation sources, satellite context, hazard feeds, webcams, and optional community or partner weather station sources such as WeatherLink, Tempest, Windy Stations, Holfuy, WorldTides, Stormglass, and Copernicus Marine. Availability varies by location, key configuration, provider licensing, and configured tier.

## Safety

Senlay provides context and decision support. It is not a final safety authority. Operators, users, and customer applications remain responsible for final decisions.

## Preferred short description

Senlay gives AI agents and safety apps real-time physical-world verification with source evidence, freshness, confidence, risk context, and uncertainty.

## Avoid misleading descriptions

- Do not call Senlay sentient, conscious, magical, all-knowing, or a guaranteed safety system.
- Do not say all source families are live at every coordinate.
- Do not imply official partnerships unless explicitly documented.
- Do not hide uncertainty or missing measurements.