Products

Hindsight

An AI navigation tool for the visually impaired. Hindsight is a downloadable web app that reads the path ahead in real time, offers spoken guidance toward safe, walkable ground, and gives early warning when a hazard appears. It runs on Pathfinder, our custom in-house vision model: five million parameters trained by the Clovermind team to identify walkable pathways and flag their hazards.

Try Hindsight →

Guidance running: a Clear ahead pill and a detected door outlined with a Door label — Door recognition

The camera view before starting, with a Start button over a hallway — Camera ready

A hazard moment: the walkable overlay marks the floor and a Stairs warning shows with a stop pill — Stairs warning

Hindsight's opening screen: Hindsight needs your camera to see the path ahead, with an Activate Camera button — Home

Real-time path readingReads the scene ahead as you move and separates safe, walkable ground from everything else.

Spoken guidanceSpeaks directions toward safe ground and gives early warning when a hazard appears.

Adjustable by feelAI speed, spoken feedback, and the visual overlay are each one tap to adjust.

PlatformDownloadable web app

ModelPathfinder, a five million parameter vision model built in-house

Adam V1

A spiking neural network reading handwritten digits through your camera. Adam is a hundred neurons that taught themselves what digits look like, with nobody labelling anything: no answer key, no supervision, just repeated exposure and competition between cells. Point a camera at a written number and you can watch the whole thing happen, spike by spike, in your browser. Nothing you point it at leaves your phone.

Open Adam V1 →

A ten by ten grid of pale digit shapes on black, one per neuron. Each is what a single neuron taught itself to respond to: rows of ones and sevens near the top, then nines, then threes, sixes and twos, and a few zeros and eights at the bottom — What the hundred neurons learned

Learned without labelsA hundred cells competing to respond to what they are shown. Nothing was told which digit is which, and the picture beside this is the result, one tile per neuron.

Watch it thinkThe frame it receives, the hundred neurons firing, and how close the pattern comes to each of the ten digits, all on screen at once.

It says nothing when unsureBelow a measured confidence threshold it reports nothing rather than naming the nearest digit. It answers about four frames in ten.

Honest by constructionA control switch runs the identical readout on an untrained network, so you can see for yourself how much of the result is the learning and how much is the readout.

Accuracy60.5% on clean handwritten digits, against 32% for an untrained network of the same size. A camera is harder. This is a research demo, not a scanner.

PlatformWeb app, installable, runs offline

ModelA spiking network of 100 neurons trained by spike-timing dependent plasticity, built in-house

In the works

The next thing we're building. Details are under wraps for now. It's cut from the same cloth: careful AI, aimed squarely at extending what people can do. Check back soon.