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In development · Early access

AI should start from the truth,
not from fragments.

Seiba Spine is being built to turn fragmented healthcare data into one trusted, longitudinal patient context, with the evidence behind every fact.

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The whole patient · what Seiba Spine is being built to seeJose Martinez · Blood sugar, 2016 to today · Illustrative
  1. 2016Borderline blood sugar flaggedEHR · annual check-up
  2. Mar 2017Blood sugar still risingLab B · HbA1c 6.1 %
  3. Aug 2019Started a daily pill to lower itClaims · pharmacy
  4. Jan 2021New clinic, new patient ID. Same person.EHR · registration
  5. Sep 2025Fitness tracker connectedWearable · daily steps
  6. Jun 2026Blood sugar normalLab A · HbA1c 5.4 %What AI usually receives
Seen alone, a blood sugar of 5.4 % looks like nothing to watch. Seen across ten years, it is a patient who was heading toward diabetes, and a daily pill that is keeping it away.
Early access

Help shape the patient intelligence layer.

Seiba Spine is being built with healthcare and AI teams working at the edge of what fragmented data makes possible. Join the early access list to follow the product and help shape what it becomes.

Early accessSee Seiba Spine as it takes shape.
Shape the roadmapTell us what patient-context problems matter most to your team.
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2016 to Jun 2026Jose Martinez · ten years, five sources
Now · New entry

You · early access request

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Why it matters for AI

AI shouldn’t have to reconstruct the patient.

Healthcare AI is only as useful as the context it receives. Seiba Spine is being built as the intelligence layer between fragmented healthcare data and the AI systems that need to understand it.

01

Longitudinal

Understand what happened across the patient’s history, not just the latest record.

02

Trustworthy

Know where a fact came from, when it was recorded and how much it can be trusted.

03

Connected

Bring evidence across healthcare sources into one coherent patient context.

Seiba Spine

Give AI a patient context it can trust.

In development · Early access open
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