Real-time multimodal micro-turn voice for chronic illness - studied openly, in the real world.

Patients simply speak; our system generates the exact spoken explanation they need to hear, the visual they need to see, and a clinician-reviewable record. We study how this works in production - and publish what we learn.

The Emperor's Interface

Read our original Emperor’s Interface essay

Our Research Mission

A living laboratory for human–AI interactivity, open to the field.

Academic and laboratory teams rarely have access to large-scale, longitudinal, multimodal interaction data from real users. LinkaChart operates as a living laboratory: a deployed product used daily by consenting patients with complex chronic illness, so the research community can study real-time micro-turn steering, generative UI, and live agent control in the wild. The product surface we study, Capture, Show, Guide, is one continuous story across three steps: between, during, and after appointments. Our protocols and outputs are deliberately domain-agnostic, designed to be useful well beyond chronic care.

Current Research Focus

Four open questions we are studying.

Steering long-horizon tasks

Extending mid-conversation tool calls (dynamic next-question selection, instant symptom logging) into full micro-turn steering with context injection and live redirection.

The Emperor’s Interface

Orchestrated agents that produce the right spoken explanation and the right visual - charts, symptom timelines, source references - in real time, on top of an open-weights base model.

Real-time multimodal evaluation

Randomized, clinician-blinded head-to-head study comparing the micro-turn Emperor’s Interface against a turn-based baseline, with ablations isolating acoustic features, sentiment signal, and policy specialization.

Longitudinal state & safety

Tracking state integrity, symptom recall, and safety-floor flags across consented patients over a multi-week longitudinal window - not a single-session snapshot.

Outputs will be released publicly on completion.

Three steps, one continuous story

Capture

Generative visual + spoken response.

Show

Structured summary your care team can actually use.

Guide

Doctor's instructions into daily guidance.

Open Research Commitment

Protocols, code, and findings - released openly, under permissive licences.

We view this work as filling a structural gap in the literature: results any researcher can understand, validate, and use - not just specialists. Outputs are released under permissive open licences on completion.

  1. Phase 1

    Pilot & protocol

    Acoustic feature extraction, prototype steering extensions, clinician rubric pilot with inter-rater reliability testing, and enrollment.

  2. Phase 2

    Open release

    Comparative study results, Doctor Rubric with IRR calibration process, arXiv pre-print, and peer-review submission.

  • Comparative study - micro-turn Emperor’s Interface vs. turn-based baseline, head-to-head, with longitudinal trend over a multi-week window.
  • Doctor Rubric - clinician-written, IRR-calibrated scorecard for real-time AI interactivity. Domain-agnostic; usable by any team in any setting.
  • Public paper - arXiv pre-print on completion; peer-review submission to follow.
  • All research is conducted independently of product roadmap decisions.
  • Ethics-reviewed · Patient-centered.

Research Team

Led by researchers, engineers and clinicians

Peter James

Peter James

Chief Executive Officer
EngineerResearcher

Co-founder, ex-Google Product Lead and Engineer. Leads technical study design and system architecture. Engineer-researcher in real-time multimodal AI for clinical contexts.

Dr. Abdullah Rajeeb

Dr. Abdullah Rajeeb

Chief Medical Officer
MDResearcher

Co-founder, Physician. Leads clinical protocol design, patient safety reviews, and floor-level oversight for high-acuity care.

Advisors & collaborators - we work alongside independent clinicians, academics, and ethics reviewers.

Get Involved

Two ways to take part -
as a patient, or as a partner.

Open to LinkaChart users via opt-in consent. Data is encrypted, de-identified, and re-identification risk is addressed before release. Care is unaffected; withdraw any time.

Patients

Interested in participating in research? Share a few details and we’ll be in touch about studies you may qualify for.

Researchers · Clinicians · Partners

Interested in partnering on research? Tell us about you and what you’d like to explore together.