Remote Environmental Sensor (RRES)

Built for remote basins. Trusted by scientists and NGOs.

The Problem

  • High resolution hydrological data is largely unavailable
  • Data continuity breaks, leaving gaps in records.
  • Remote sites go dark during storms and melt.
  • Field trips are frequent and expensive.
  • Without trusted evidence at the right moments, programs stay reactive and bad actors face no consequence.

⚠️ Why It Matters

  • 1 day in the field often costs more than 1 sensor.
  • Missed peaks are lost forever; you cannot go back and measure them.
  • Gaps weaken publications, reports, and compliance credibility.
  • Gaps weaken reports and credibility when you escalate to regulators.
  • One missed peak can erase your only chance to prove harm.

The Solution

RRES + Satellite Uplink

Continuous Monitoring

Water level (cm) 📏, temperature (C) 🌡️, and turbidity (NTU) 🌊.

Data Integrity

On-device sanity and drift flags to reduce data loss. 🔍

Remote Connectivity

Satellite from dead zones 🛰️. No local gateways. Low power for long unattended uptime. 🔋

Accessible Data

Streams to API by default. Optional simple dashboard. 🖥️

Download our datasheet

What you get

1

🌐 Reach any site and capture storm and melt peaks.

2

🚐 Fewer field visits, lower costs, clearer program choices.

3

📈 Continuity during critical moments that determine accountability.

4

🚨 Actionable alerts to rank hotspots and sequence actions.

5

Prioritize action. Compare sites by exceedances and event magnitude over a season.

6

Escalation-ready evidence with uncertainty bands supports defensible claims.

7

Raise community awareness and share updates via API or a simple dashboard.

🛠️ Why It Works in Harsh Places

Environment-first hardware, mounts, and optics

For freeze, debris, and wet environments.

Field-swappable parts

Easy installation. Cut service time.

Satellite-first design for remote dead zones

Reliable data where no gateways exist.

📊 Proof

Pilots and deployments

  • Pilots with WWF 🐼 and hydropower in Switzerland.
  • Used by NGOs in policy-relevant contexts where continuity and auditability matter.”
  • Global project with 11 scientists & NGPs 👩‍🔬 across glaciers, the Himalayas, and Patagonia.
  • Time to first data: about 1 hour ⏱️ from install via API.
  • Teams avoided higher-cost alternatives and avoided winter deinstall ❄️ at selected sites.

Peer-reviewed publications:

💵 Pricing

* Documentation on validation tests with clear conditions (e.g. temperature, flow extremes) available upon request

🛡️ Procurement-Friendly Guarantees

  • 14-Day Install-Fit → If baseline checks fail, we swap, relocate, or refund. 🔄
  • 90-Day Hardware Replacement → Manufacturing defects covered, no questions asked. 🆕
  • Uptime Credits → If our cloud causes a sustained outage beyond threshold, we credit months. ☁️
  • 18-Month Warranty → Covers workmanship and reliability from date of delivery, protecting your investment through the full research season and beyond. 📅

🚀 Early-Adopter Advantages

  • Roadmap influence and priority input on features and integrations. 🗺️
  • Priority support during the first season with guided commissioning. 🎯
  • Community access to an invite-only cohort sharing deployment patterns and methods. 👥
  • Data continuity credits for multi-season installs. Compounds research value. 🔗
  • Recognition in case studies and methodology notes where appropriate. 🏅