scienceFor Research

Digital infrastructure for advanced psychological research

Marker extraction API and Research-as-a-Service. Accelerate your studies with validated digital endpoints.

15+

Published studies

40+

Validated markers

IRB Ready

Documentation

Multi-lang

Support

What You Can Do Today

Research-ready digital tools

api

Marker Extraction API

Extract validated psychological markers from text data.

import mential

# Extract markers from participant text
markers = mential.extract(
    text=response_text,
    constructs=["anxiety", "depression",
                "rumination", "sleep"]
)

# Returns validated scores
# {"anxiety": 0.34, "depression": 0.28, ...}
labs

Research-as-a-Service

Full-service research support from design to publication.

1

Study design & protocol

2

Data collection platform

3

Analysis & reporting

4

Publication support

Data Export

Compatible with your workflow

R

R / RStudio

.rds, .csv export

Py

Python

pandas DataFrame

SPSS

SPSS

.sav export

table_chart

Excel/CSV

Universal format

Use Cases

From hypothesis to publication

psychology

Longitudinal Digital Phenotyping

Track psychological constructs over time with passive and active data collection.

EMAPassive sensing
neurology

Digital Biomarker Validation

Validate novel digital endpoints against gold-standard clinical measures.

Convergent validity
monitoring

Intervention Efficacy Studies

Measure treatment response with high-frequency digital assessments.

RCTPre-post
groups

Population-Scale Studies

Deploy research protocols across large, diverse participant pools.

n>10,000Multi-site
For Researchers

Built for academic rigor

verified

Validated Measures

Psychometrically validated digital markers with published evidence.

lock

IRB-Ready

Documentation and protocols ready for institutional review board approval.

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Data Export

Export data in standard formats compatible with SPSS, R, Python, and more.

Ready to accelerate your research?

See how Mential can provide digital infrastructure for your next study.

Funded by

This website/project is part of the Recovery, Transformation and Resilience Plan, funded by the European Union – NextGenerationEU.