Your healthcare data estate.One living Semantic Twin.

Your systems hold the structure. Your people hold the context. A Semantic Twin holds both.

  1. Find ContextFragmented data resolved to shared healthcare concepts, with the rules your analysts carry.
  2. ProtectSensitive data identified in context and handled by policy, with a record of every change.
  3. DeliverAI-Ready DataGoverned data with all 18 HIPAA identifiers cleared, prepared for AI workflows, models, and analytics.
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Capabilities

What the platform can do.

Everything between your fragmented data and the AI work waiting on it.

  • AI-Ready Data

    Governed data prepared for AI workflows, models and analytics.

  • Shared Memory

    Context that persists across your agents and workflows.

  • Context Layer

    Meaning delivered to agents at the moment they need it.

  • Ontology

    Fragmented fields resolved to shared healthcare concepts.

  • KNOX

    Detect, transform and verify sensitive data by policy.

  • DIA

    Synthetic human data points, for patient and member data simulations.

  • Semantic Twin

    A living model of your healthcare data estate.

  • SEALs AI

    Ask the estate in plain language, get traceable answers.

AI-Ready Data

SEALs prepares data ready for AI adoption.

Six conditions decide whether data can proceed to a model or an AI workflow. Each stage of the journey adds to them.

AI readiness by journey stage

Accessible
Understood
Privacy-safe
Governed
Traceable
Fit for Use

Stage 1 of 5

Discover

Map schemas and tables

  • Accessible
  • Understood
  • Privacy-safe
  • Governed
  • Traceable
  • Fit for Use
AccessibleData can be located, inventoried, and reached by authorized systems and people.Added in Discover

What makes data AI-ready?

  • Accessible

    Located and reachable by authorized systems

  • Understood

    Entities and relationships in one shared model

  • Privacy-safe

    All 18 HIPAA identifiers found and cleared

  • Governed

    Ownership, access and approvals enforced

  • Traceable

    Every change carries its source, rule and time

  • Fit for Use

    Shaped for the specific model or workflow it serves

Shared Memory

Give your agents a shared memory.

Every agent works from the same structure, rules and expert knowledge, captured once.

One shared model. Members, plans, claims and providers connect once, and every agent sees the same picture.

Knowledge that persists. Business rules and expert knowledge stay available to every agent after.

Living Context

Context that travels with your data.

Every record carries its meaning with it, so an agent reading it anywhere knows what it is. Move the pointer to pull it in.

A graph of the context fabric in the Semantic Twin: Member, Plan, Coverage, Provider, Claim, Diagnosis, Medication, Service date are entities linked by shared context, and the grid bends toward the pointer.

  • npi_num maps to Provider
  • member_id maps to Member
  • dx_code maps to Diagnosis
  • coverage_cd maps to Coverage
  • claim_id maps to Claim
  • rx_ndc maps to Medication
  • svc_dt maps to Service date
Ontology

Never lose meaning.

Systems name a member differently. The ontology keeps them one concept.

Rules and knowledge

Business rules and expert knowledge
live beside the concept they govern.

Sustained meaning

New systems, column changes and migrations.
The concept holds.

KNOX

Privacy intelligence,
by policy.

Detect, transform and verify sensitive data,
with audit evidence at every step.
Your data stays where it lives.

How privacy works
DIA

Synthetic human data points
that mirror your population.

Member trends, utilization patterns and behaviour, synthetically simulated from your own population.

  • On-demand scenarios

    Model a benefit change, a utilization shift or a rare cohort, without waiting on real data.

  • Privacy by construction

    Nothing traces to a real person, so the data moves where real data cannot.

Trusted partners

Built with the platforms you trust.

Infrastructure and AI partners for startup teams.

  • OpenAI

    AI models

    Language, reasoning and multimodal models.

  • AWS

    Cloud infrastructure

    Compute, storage and managed cloud services.

  • Gemini

    Multimodal AI

    Text, image and code models from Google.

Field Notes

Notes from the data estate.

Practical writing on semantic modeling, privacy engineering, and delivering AI-ready data in regulated environments.

KronosX

60% of AI Projects Are Being Abandoned. The Real Reason Isn't AI.

Hi, I’m Raj, founder of KronosX.ai Over the years, I’ve found myself having a lot of interesting conversations around AI, healthcare, data, and how enterprises actually adopt new technology. This newsletter is just a place to share some of those thoughts and observations along the way, while building kronosX.

Everything we have writtenin one place

Semantic modeling, privacy engineering and AI-ready data, collected for regulated teams.

Read all Field Notes
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Give your healthcare data estate a Semantic Twin.

Talk to our team about your estate, your systems, and what is holding your AI adoption back.

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