Real screenshot, not a mockup
Aegis & Fur combines already-proven, already-cleared medical hardware into one platform that scales from free manual logging to full continuous monitoring — instead of spending years building a new biosensor from scratch. Every tail deserves a guardian.
Opens the real dashboard, not a mockup — running on a synthetic dog named Bella, API key pre-filled, reseeded automatically. Nothing you do there is saved to a real dog.
Designing a new glucose-sensing element is a multi-year, capital-intensive, regulatory-heavy undertaking — and doing early iterations of that on a living animal is a real safety problem, not a corner worth cutting. Aegis & Fur's engineering goes into the layer above the sensor.
Every sensor in our platform is an already-manufactured, already-cleared product designed for human use — applied thoughtfully to dogs, not reinvented from zero. Our own work is the calibration engine, the trend analysis, the hypoglycemia early-warning system, and the bridge hardware that connects proven sensors into one coherent platform.
That's a systems-integration problem, and it's the one we're built to solve well: take what already works in human medicine, verify it rigorously, and make it accessible for the animals who need it too.
Every tier feeds the same trend chart, the same calibration engine, and the same hypoglycemia-drop alert logic — an owner can start at zero hardware and move up without switching platforms or losing history.
Type in a reading from any glucometer you already own — or take a photo and let a local vision model read it for you. No hardware required.
Click to preview ↗An Aegis & Fur bridge board auto-captures every reading from an ordinary Bluetooth glucometer, built on the public Bluetooth SIG Glucose Profile.
Click to preview ↗Historical trend logging synced from a Dexcom Stelo sensor via Apple Health — transparently labeled as delayed data, never presented as real-time.
Click to preview ↗Real-time continuous monitoring — our own bridge hardware talking directly to an open-protocol sensor, no third-party app, no delay.
Click to preview ↗This is real chart-rendering logic pulled from the live dashboard, plotting a realistic day for a diabetic dog. Hover any point for the reading and time — target range shaded, nadir and post-meal rise both visible, exactly what a vet reads a curve for.
Every number below is independently verified — real tests run, real code compiled, real end-to-end checks in a real browser, not just described in a plan.
Every figure below is cited to a real veterinary source. Where studies disagree, we show both rather than pick the more convenient number — this is exactly the kind of thing that shouldn't be softened for a pitch.
Two real studies give meaningfully different numbers, and neither should be quoted alone: a UK primary-care study found a median survival of 15.6 months from diagnosis (20.2 months for dogs who survive the first week), while an Italian specialist veterinary-hospital study found a median of 964 days — roughly 2.6 years. The gap is likely explained by care setting and case mix, not a contradiction in the disease itself — general practice sees a broader, less-selected population than a referral hospital. The veterinary field itself has published on whether current data is even adequate to counsel individual owners — this isn't a number Aegis & Fur is smoothing over, it's an open question in veterinary medicine.
Real, cited risk factors: age 10+, Cocker Spaniels specifically, high blood glucose at diagnosis, and prior steroid treatment are all associated with worse outcomes; neutered status and (in one study) Border Collies specifically were associated with better ones. Notably, diabetic ketoacidosis at diagnosis was not significantly associated with survival in the largest study reviewed — a genuinely scary-sounding presentation doesn't automatically mean a worse long-term outlook.
A 2025 UK diabetes registry found dramatic breed skew: Samoyeds are roughly 23.5×, Tibetan Terriers 11×, and Dachshunds 11× more likely to develop diabetes than baseline. Unspayed female dogs are roughly 2× as likely as males — most cases are adult-onset, not tied to a heat cycle, but a real minority (~10%) are.
Real places to start — not affiliate links, not ours. Written and maintained by actual veterinary institutions.
Nothing in the core platform — calibration, trend analysis, hypoglycemia-drop alerting — is dog-specific; only the presets are. The same architecture that monitors a diabetic dog applies directly to cats.
This is stated as direction, not a near-term commitment. Our roadmap today is scoped to the canine product; expansion follows once the tiers above are proven with real dogs and real vets.
Aegis & Fur is founder-led, built with near-zero cash burn, and every claim on this page is backed by working code — not just a plan. If you're an investor, a partner, or a vet who wants to see more, we'd like to talk.
Another real, live product built by the same team behind Aegis & Fur — pet health signals nobody else is tracking.