Find the signal you're missing catching. Years early.

We analyze cognitive testing, imaging, and biomarker data, and show you exactly where early risk is hiding. Our model flags Alzheimer's risk a median of 27 months before standard-of-care diagnosis.

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Diagnostic Models

We connect to your clinic's imaging systems, cognitive assessment data, and biomarker panels. Our AI models the trajectory of cognitive decline and flags risk years before a standard workup.

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Validation Report

Get a detailed breakdown of every flagged case, the underlying evidence, and how our models perform against confirmed diagnoses across retrospective and prospective cohorts.

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Clinical Pilot Support

We guide your clinical team through piloting Bpie AI inside your existing workflow. Most partner clinics have flagged cases under neurologist review within weeks.

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How we find the signal

Our platform reads structural imaging, standardized cognitive assessments, and available biomarker panels, and pulls them into a single longitudinal patient record. We model the trajectory of cognitive decline against confirmed-diagnosis cohorts to estimate risk and flag deviations years ahead of a standard workup. Every flagged case is presented to a neurologist with the underlying evidence, so the clinician reviews the reasoning, not just a risk score. Most partner clinics have several patients whose risk would have gone unflagged under standard care.

Cognitive trajectory dashboard showing an early Alzheimer's risk signal ahead of standard diagnosis

Your patient's data reviewed. Risk caught early.

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In a recent retrospective cohort across three academic neurology clinics, our model's earliest flag preceded standard-of-care diagnosis by a median of over two years.

The clearest case: a patient flagged 31 months before a confirmed diagnosis, giving the care team time to plan intervention early. Every flagged case in the cohort was reviewed and signed off by a practicing neurologist before being returned to the clinic.

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For Neurologists

See the same imaging and cognitive data you already review, with model-flagged regions of concern and the reasoning behind each flag. Agree, override, or ask for more; the read is always yours.

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For Health Systems

Identify at-risk patients earlier in their care journey, support care planning conversations sooner, and build an evidence base your own clinicians helped shape.

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About Us

Bpie AI builds diagnostic and prediction models for neurological disease, starting with Alzheimer's. We're a team of engineers and clinicians who believe the biggest gains in neurology won't come from replacing a doctor's judgment, but from giving that judgment a much earlier signal to work with. Every model we ship is developed side-by-side with practicing neurologists, from what the model is trained to flag, to how findings are presented, to where a clinician's read always has the final word. We're building for the exam room, not the boardroom.

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Whether you're a neurologist interested in the clinical pilot, a health system exploring a partnership, or just want a clinical briefing, tell us a bit about yourself and we'll get back to you.

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