AquaTrails aggregates NOAA weather, USGS stream gauges, and NWS alerts into a single AI-scored verdict for every river, lake, and trail.
Before every trip, outdoor enthusiasts bounce between NOAA.gov, USGS WaterWatch, NWS alerts, and local forums – stitching together a picture that should take seconds, not an hour.
NOAA, USGS, and NWS each maintain separate portals with different formats, update cadences, and geographic scopes. No single view exists.
The average water recreational user does not know what water temperature or "800 cfs" means or how it will impact their experience that will differ per activity.
Flash flood warnings and gauge spikes often reach recreational users through general broadcast channels – not targeted to where they're headed.
AquaTrails pipes NOAA, USGS, and NWS data through an AI scoring engine and returns a plain-English verdict specific to your activity.
Stream gauges, weather stations, and flood alerts continuously pulled from 28,400 USGS stations and NOAA weather grids across all 50 states.
Separate scoring models for kayak, raft, SUP, tube, swim, fish, and float. A 312 cfs run scores 92 for kayak and 34 for tube – because they're different sports.
Every score surfaces a plain-English explanation: which signals drove it, whether conditions are improving or degrading, and a 7-day projection window.
Pin any put-in, trailhead, or fishing hole. AquaTrails binds the nearest viable upstream gauge and surfaces conditions for that exact location.
Flash floods, gauge spikes, NWS advisories – pushed only when they affect a put-in you've saved. No broadcast noise. Signal only.
Guides and locals submit on-the-water clarity, debris, and hazard reports. Each report is weighted by the submitter's historical accuracy.
Because the water changes fast, your data should too.
AquaTrails is in active development with core data integrations complete. Beta access opens Q3 2026 to waitlist members first.
Hourly forecasts, precipitation, wind, UV, and air temp pulled for every U.S. point via NOAA's NWS API.
28,400 stations linked. Discharge, gauge height, and water temperature updated every 12 minutes via USGS Instantaneous Values API.
Separate scoring models for 6 activities, calibrated against 5 years of incident data. Scores refresh every 12 minutes.
Natural-language score explanations powered by Amazon Bedrock – surfacing which signals drove a score and how conditions are trending.
Waitlist members get priority access to the web dashboard. Outfitter fleet accounts available from launch.
Native mobile apps with offline-cached scores, push alerts, and trip log. Android and iOS simultaneous launch.
AquaTrails runs entirely on managed cloud services – no servers to go down, no capacity limits to hit. Data is fetched, scored, and delivered automatically so every user always sees current conditions.
Conditions are fetched from federal data sources and scored automatically on a continuous basis. Users always see fresh data without refreshing.
An AI layer translates raw readings into plain-English verdicts – which conditions matter for your specific activity, and how they're trending.
Delivered from a globally distributed network. The platform is designed for high availability so it's there when conditions change suddenly and you need it most.
Built on secure and scalable AWS serverless infrastructure. Every layer encrypted. No servers to manage or patch.
All data is encrypted in storage and during transmission. Every connection to AquaTrails is secured end-to-end.
Each part of our system only has access to what it needs – nothing more. Security is built into the architecture, not bolted on.
Our infrastructure is designed with no single points of failure. If one component has an issue, the rest keeps running.
We store conditions data, not personal data. We collect only what's needed to provide the service – nothing else.
Generic weather apps show you the forecast. AquaTrails interprets what it means for your specific activity at your specific put-in – then tells you in plain English.
Each activity gets its own personalized scoring model, because the same river conditions that make a perfect challenging raft day can be unsafe for easy kayaking run.
Kayak
92 · pristine
Raft
88 · pristine
SUP
71 · fair
Tube
68 · fair
Swim
82 · good
Fish
85 · good
We're engineers who live and breathe the Truckee River and Lake Tahoe. We're dedicated to building the best tool for everyone to create long-lasting memories on the water – whether you're paddling, fishing, or simply soaking it all in.
Beta opens Q3 2026. Waitlist members get priority access, founding pricing, and a direct line to the team during early access.
AquaTrails pulls data from NOAA weather grids, USGS stream gauges, and NWS flood alerts every 12 minutes via AWS Lambda. That data runs through an activity-specific scoring model – calibrated against 5 years of outdoor incident records – and returns a 0–100 score with a plain-English explanation. You see one number instead of six raw data sources.
USGS Instantaneous Values API (28,400 stream gauge stations), NOAA National Weather Service APIs (hourly forecasts, precipitation, wind, UV, air temp), NWS flood and lightning alerts, NRCS SNOTEL for snowpack data, and user-submitted field reports from guides and locals – accuracy-weighted over time.
AquaTrails serves two audiences: casual recreators (kayakers, anglers, paddleboarders, swimmers, tubers) who want a quick go/no-go verdict before a weekend trip; and professional outfitters, guide services, and safety officers who need a reliable daily briefing for their fleet and clients.
The web dashboard beta opens Q3 2026. iOS and Android apps follow in Q4 2026. Waitlist members get priority access and founding pricing – locked for the lifetime of their account. Join the waitlist above to secure your spot.
Yes. AquaTrails runs on AWS with AES-256 encryption at rest and TLS 1.3 in transit. We do not store sensitive personal data – only your email (hashed), saved locations, and preferences. The platform is GDPR and CCPA compliant by design. No data is sold to third parties.
