MIRA ANALYTICS

Real-time, precise and explainable QA for mental health endpoints in clinical trials.

What we do

01 — Automated scale ratings

From mental health scale audio to scores.

Central raters run their usual questionnaire. Mira ingests the audio locally and outputs item-level scale scores that track closely with trained raters.

Interview waveform flowing into a Mira engine and bar chart of scale ratings.

02 — Explainability

Scores that point back to the interview.

Each score can be traced back to concrete parts of the conversation and specific items on the scale. Explainability helps clinical teams understand which parts of the dialogue drove the model’s judgement — making reviews faster, more consistent, and easier to trust.

How have you been sleeping lately? 09:14

Not terrible, but not great either. 09:15

How long does it usually take you to fall asleep? 09:19

On good nights maybe half an hour. Sometimes longer, but nothing extreme. 09:21

And on the bad nights? 09:25

I’m awake until three or four almost every night, and when I do sleep I’m up again after an hour. 09:27

Mira Model output Short, fragmented sleep The participant reports frequent nights with delayed sleep onset and repeated awakenings — a pattern typical for severe insomnia.

How do these nights affect your day? 09:33

I can’t focus in meetings and I’m forgetting simple things. I feel wiped out most days. 09:35

Mira Model output Daytime cognitive impact The participant mentions reduced concentration and mistakes with routine tasks — evidence that their insomnia is functionally impairing.

How’s your mood and appetite otherwise? 09:40

My mood’s okay, and I still go for walks. Just wish I wasn’t so tired. 09:43

Mira highlights parts of the insomnia dialogue that support a severe rating.

03 — Rater analytics

From single predictions to rater performance.

Individual scores aggregate into intuitive analytics of rater behaviour, highlighting drift, over- or under-scoring tendencies, and how these evolve throughout the study.

Monitor rater scores over time to visualize trends.

04 — Platform

Local, fast and consistent.

Mira engine runs on secured Google Cloud with local LLMs, with stable behaviour across languages, questionnaires and sites.

Deployment

Runs in Mira VPC. Audio and scores never leave our infrastructure.

Flexibility

Works with interviewer-rated questionnaires and scales. One engine that can travel across languages, sites and accents.

Insights

Scores close to real time with quantified model confidence – an extra layer on top of human ratings.

Tension MILD

Insomnia SEVERE

Anxiety MODERATE

Appetite ABSENT

Memory MILD