Software for ophthalmology: the clinic that sees glaucoma coming.

Yes. Every intraocular pressure reading is logged on the record, and ClinicPilot builds the patient’s IOP curve eye by eye. The AI watches the trend and warns you when a pressure spikes or drifts off the treatment target, without you having to review histories by hand.

Yes. The AI analyzes each patient’s series of visual fields and estimates the rate of progression, flagging which eyes are worsening faster than expected. It’s a decision aid that lets you get ahead of advancing glaucoma and prioritize those patients, always under your clinical judgment.

Yes. The AI analyzes macular OCT eye by eye and flags intraretinal or subretinal fluid as soon as it appears, both for early detection of wet AMD and for monitoring recurrence between intravitreal injections. It flags the eye that needs treating before vision drops: it’s a decision aid, always under your clinical judgment.

Yes. With the complete history of every eye, the AI estimates how the degenerative eye disease —retina, glaucoma, cataract— is going to evolve, and flags which patients should have their review brought forward and which ones can wait longer, instead of scheduling everyone at the same pace. It’s a decision aid, not a substitute for your clinical judgment.

Yes. The AI compares each eye’s series of corneal topographies, tracks maximum keratometry and thinning, and estimates whether the keratoconus is progressing, so you can identify the crosslinking candidate before losing cornea.

Yes. The AI adds visual acuity and refraction to each eye’s curve and warns you if vision drops; in dry AMD it measures the geographic atrophy area on autofluorescence and tracks its growth image by image; and it keeps a record of implanted intraocular lenses, with their model and power per eye. It’s all kept in the patient’s record.

Yes. It’s not a generic record: it includes visual acuity, refraction, IOP, biomicroscopy, fundus exam, and keeps the imaging tests (OCT, visual field, retinal photos) on each eye’s timeline. Every subspecialty —glaucoma, retina, cornea, oculoplastics— has its own fields and circuits.

Yes. It manages the clinic schedule and surgical programming (cataracts, vitrectomy, glaucoma surgery), with operating room reports, associated biometry and pre- and post-op circuits. The AI coordinates clinic visits, tests and the operating room with no overlaps.

5 to 7 days from the analysis to being live and running, with patient migration included and without ever stopping the practice.

Every practice has its own installation on a server dedicated only to it, or on its own infrastructure: that is where your patients’ tests and records live. For U.S. practices, dedicated servers are hosted in the United States, HIPAA-ready and covered by a signed Business Associate Agreement; practices in the European Union are hosted in Germany, under the GDPR. You don’t share a platform with thousands of clinics, so a global provider’s system-wide outage doesn’t affect you: your installation is independent and has its own backups. And your data is always exportable, so it’s never held hostage.

Yes. You can export the information raw, exactly as it is, or request it already classified data point by data point —IOP, visual field, acuity, refraction, pachymetry and implanted lens, eye by eye— to build your practice’s database and use it in your studies. For research it can be exported de-identified — in line with HIPAA for U.S. practices, and with the GDPR for practices in the EU.

On the custom-project plan, yes. The clinic’s email, WhatsApp and Google Drive are integrated into the system, and a custom agent is built that reasons with Claude, GPT and Gemini: it sorts email, handles patients over WhatsApp, books check-ups and tests and prepares surgery quotes, carrying out the whole task and only notifying you when a decision is actually needed. You define where that line sits: nothing reaches a patient without the level of review you decide, and the agent handles administration, never clinical judgment. That agent reasons with external services, so the data for each task leaves the server: the API is contracted in the clinic’s own name, under a data-processing agreement and sharing only the minimum data needed for each task, and the medical record stays on your own dedicated server — in the United States for U.S. clinics. The $580 and $980 plans have an in-house AI agent that helps the admin team book appointments, check the schedule and resolve questions: it runs inside the installation itself and doesn’t take any data out of the server.