Your Data. Your Privacy.

The Core Principle

When you fish with Nemo's Eye, the sensor array collects environmental readings — dissolved oxygen, water temperature, clarity, depth, and barometric pressure — at the location and depth you're fishing. Those readings power the real-time fishing intelligence you see on your screen.

When that environmental data is contributed to the cooperative water quality monitoring network, all personal identifying information is stripped at the app layer before it ever leaves your device. The environmental readings are structurally separated from your user identity before they reach the aggregation pipeline. Your name, your account, your personal catch history — none of it is part of the environmental dataset. Ever.

What Is Contributed

The cooperative monitoring network receives anonymous water quality readings only:

That's it. Water quality numbers, location on the lake, and when the reading was taken. No names. No accounts. No personal catch history. No device IDs that can be traced back to you.

What Is Never Shared

Architecture, Not Policy

Many companies promise privacy through terms of service and written policies. Nemo's Eye takes a fundamentally different approach: the separation between your identity and the environmental data is structural. The app layer strips personal identifiers before environmental readings ever reach the aggregation pipeline. Your identity and the science are processed on completely separate paths.

If you delete your account, you cannot "take back" contributed environmental readings — because your identity was never attached to them in the first place. There is nothing to take back.

Aggregation thresholds are implemented to prevent anyone from reverse-engineering individual fishing behavior from location clustering. Security measures are designed to prevent the cooperative monitoring network from being hacked, intercepted, or repurposed as a tracking mechanism.

This is not buried in an 80-page terms of service. This page exists so every angler who considers picking up a Nemo's Eye sensor knows exactly how their information is handled — in plain language, up front.

Where the Environmental Data Goes

Anonymous water quality readings are shared cooperatively with state agencies, fisheries biologists, and conservation organizations — groups like the Minnesota DNR, MPCA, and university research programs. These are partners, not customers. The environmental data is a shared resource built cooperatively for the benefit of the waters we all fish, swim, and bring our families to.

The data is never sold as a commercial product. It is shared through cooperative agreements funded by government programs, grants, and aligned conservation partners. The goal is to fill monitoring gaps that agencies cannot cover at scale with traditional methods — not to build a product from your personal information.

Your Catch Data Is Yours

Your personal catch log — the fish you caught, your photos, your notes, your spots — belongs to you. It is stored on your device and in your private account. Catch data is only shared if you explicitly choose to share it through the community features, and even then you control the visibility and location precision of every entry.

The conditions-correlated catch data that powers fleet-scale pattern recognition (learning what conditions produce the best fishing across the community) uses the same PII-stripped architecture. The AI learns from anonymized patterns — "largemouth caught at 12ft when DO was 9.2 mg/L and baro was falling" — not from any individual angler's personal record.