Deconstructing.AI: The lab is open. Let's build. WholeContext AI, healthcare's missing intelligence layer, with a Phase 1 HHS TOPx winner badge and voting QR code.

CORE ANALYTICS® · DECONSTRUCTING.AI™

Intelligence for the
decisions that matter.

We connect data, human behavior, and AI to build better ways to understand, decide, and act.

The voting link opens the official sprint entry. Sign-in may be required; voting availability is controlled by the organizers.

02 / THE RESEARCH LAB

DECONSTRUCTING.AI™

The lab is open.
Let’s build.

A place for ambitious questions
and working answers.

Deconstructing.AI is our AI research and development initiative. We investigate how AI can connect fragmented evidence, support human judgment, and make complex systems easier to navigate.

Inside the lab ↗
RESEARCH DIRECTION / 01

Contextual intelligence

How can AI preserve the relationships, history, and uncertainty that give information meaning?

RESEARCH DIRECTION / 02

Digital twins & scenarios

How can a changing picture of a person or system help us explore possibilities without mistaking them for predictions?

RESEARCH DIRECTION / 03

Human-centered systems

How can intelligent tools help people coordinate, understand their choices, and take the next step?

03 / FLAGSHIP RESEARCH

A whole person.
A more connected story.

WholeContext AI™ explores a missing layer in healthcare: the context between symptoms, records, daily life, and the next decision.

WholeContext AI platform overview: Digital Twin, OpenDataDelta, Discovery Lab, seven-day outlook and care coordination. Support WholeContext AI in the HHS TOPx People's Choice vote using the QR code or voting link.
View full-size poster and QR code ↗

HEALTHCARE’S MISSING INTELLIGENCE LAYER

WholeContext AI™

Built around Lyme and complex chronic illness, the research platform brings a person’s evolving story into one longitudinal view—with provenance, uncertainty, and human review built in.

  • Connect observations and records over time
  • Explore public data in local context
  • Support care coordination and visit preparation
Vote for WholeContext AI ↗
Explore the platform ↗

Research-stage platform. Demonstrations use synthetic data. Not a diagnostic or medical advice service.

04 / OUR APPROACH

Start with the problem.
Build toward the outcome.

  1. 01

    Define what better means.

    Identify the decision, the people affected, and the measures that describe the problem today.

  2. 02

    Connect the evidence.

    Understand the data, its limitations, and the context needed to make it useful.

  3. 03

    Build, evaluate, refine.

    Create a working solution, compare it with the baseline, and improve it through real feedback.

05 / FOUNDER-LED. RESEARCH-DRIVEN.

Scientific curiosity.
Enterprise experience.
A builder’s mindset.

Kimberly Chulis, PhD

Co-Founder & CEO, Core Analytics, LLC
Founder, Deconstructing.AI™

Kim brings together data science, enterprise technology, entrepreneurship, and education to help organizations turn complex problems into practical AI and analytics solutions.

Purdue PhDFormer Microsoft principalNorthwestern data science faculty
Meet the founder ↗

LET’S BUILD SOMETHING THAT MATTERS

What problem
is worth solving next?

Bring a business challenge, a product idea, or a research question. Let’s explore what better intelligence could make possible.

Start a conversation ↗