Loopchii is a research & innovation studio that solves for constraints others assume are fixed. Federated learning, equity-aware health models, privacy-first architectures — built from real research, an unreasonable amount of coffee, and a refusal to ship anything we wouldn't use ourselves.
We're the studio that reads regulatory fine print for fun, builds AI that forgets your data on purpose, and genuinely believes "works for everyone" is an engineering problem — not a marketing slide. Six products. Four domains. Zero shortcuts.
Every system has constraints. Most companies work around them. We build through them. Sovereign infrastructure, federated learning, equity-aware AI — real products born from real research. Not vaporware. Not promises. Not another "AI-powered" landing page with nothing behind it. Infrastructure.
Each product is a working node in a larger intelligence mesh — born from constraint research, designed to interconnect, and built by people who think "move fast and break things" is a terrible philosophy when the things are people's data.
19 ML models. Federated learning on biometrics. 12 equity bias corrections on every output. A digital twin architecture where your health data never leaves your device — and unlike your doctor, it never ghosts you after one appointment.
Burner identities. Self-destructing data containers. Sovereign containment protocols. We built the infrastructure that makes "delete" actually mean delete — not "we'll keep it in a backup somewhere, trust us."
32 regulatory sources ingested. Prior authorization automation with citation-backed denial responses. An AI that reads insurance fine print so you don't have to — because life is too short and the font is too small.
Adaptive research paths that learn how you learn — not how a committee thinks you should. We solved the constraint between personalization and privacy. Your curiosity, your pace, zero surveillance. Finally.
Autonomous AI agents that coordinate sovereign compute pipelines. Think of it as air traffic control for AI agents — except nobody crashes and the coffee is better. We built governance in because letting autonomous agents self-govern felt... optimistic.
Standard AI normalizes data, discarding the outliers where breakthroughs actually live. We built an engine that hunts the tails — σ > 3.5 territory — because the comfortable middle is where curiosity goes to retire.
A live visualization of the Serendipity Finder hunting extreme-value correlations in real time. This is actual research infrastructure — not a Figma prototype with a pulse animation. Press "Force Discovery" and try not to get emotionally attached to the particles.
Federated learning trains models on your device. Differential privacy adds mathematical noise. Your raw data never touches our servers — because we genuinely, truly, from the bottom of our architecture, do not want it. The model learns. You stay sovereign. Everyone sleeps better.
Merkle ledgers track every data access, every model inference, every gradient update. If something touches your data, you'll know exactly what, when, why, and whether it had a good reason. Think of it as a security camera for your data — except this one actually works and doesn't have a convenient blind spot.
12 equity bias corrections run on every output. Skin-tone validation on wearables. Demographic de-biasing across health models. Because "works for everyone" shouldn't require an asterisk and three pages of fine print. We just did the math that everyone else called "too expensive."
Six products. Four research domains. A studio that actually built the thing before making the website. We're opening the first cohort soon — get on the list before we close it and start being insufferably exclusive about it.
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We're a research & innovation studio that built six products, ingested 32 regulatory sources, and trained 19 ML models before making this website. Some people write pitch decks. We write infrastructure.
// We could've shipped faster, but we were busy reading HIPAA documentation for fun. Don't judge us.
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We collect only what you give us. We do not sell your data. We do not use it for advertising. We do not share it with third parties except where strictly necessary.
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