Next Generation Wellness
Workforce Intelligence · For enterprise HR

A clearer view
of your workforce,
wherever your people are.

PillarX gives enterprise HR leaders an evidence-based Wellbeing Index, predictive workforce insights, and anonymous aggregate reporting, while employees get specialised wellbeing support grounded in peer-reviewed research. You never see individuals. You see the health of your organisation.

GDPR compliant Built on WHO-5 · PERMA · Harvard research
HR Dashboard
Q2 / 2026
Wellbeing Index ↑ +4.2 pts vs Q1
71 / 100 composite
Composite breakdown
Mood
78 25%
Stress
65 22%
Sleep
71 18%
Engagement
74 15%
Activity
68 12%
Sentiment
69 8%
Min. team size: 5 · anonymised WHO-5 · PERMA

Live preview. Individual data is never exposed.

Grounded in peer-reviewed research

The model is built on 43 research citations across clinical, organisational, and occupational health literature, not marketing claims.

Request the full bibliography

Most wellness platforms count logins.
Enterprise HR needs to measure outcomes.

Engagement dashboards, streaks, and gamified habit trackers were built for consumers, not for the people responsible for workforce retention, burnout prevention, and benefits compliance. PillarX is built the other way around: starting from the HR decisions that matter, and working back to the employee experience that produces the data.

From workforce data to strategic team decisions.

01 · Composite score

Wellbeing Index

A single, defensible number that rolls up six validated dimensions. Weighted to reflect clinical evidence on what actually moves organisational wellbeing, not convenience of measurement.

Formula
Mood 25%
Stress 22%
Sleep 18%
Engagement 15%
Activity 12%
Sentiment 8%
Clinical base WHO-5 · PERMA · Harvard research
02 · Predictive

Retention risk modelling

Surface the teams where attrition probability is climbing, before exit interviews. The model combines engagement decay, wellbeing drift, and absenteeism signals into a 12-month risk projection per team. Never per employee.

Low risk
60%
Moderate
28%
High
12%
Modelled against peer-reviewed business-unit engagement–outcome research.
03 · Trust by design

Anonymisation is the product

Minimum team size thresholds, auto-generated anonymous usernames enforced at the organisation level, and server-side aggregation. All applied before data ever reaches the HR view.

≥ 5
min team
RLS
row-level
GDPR
compliant
04 · Active listening

Pulse surveys

HR-initiated short surveys, shipped in minutes. Responses land anonymous and aggregated above the minimum team threshold, with bilingual sentiment surfaced on free-text. Ask the question. Get the signal, not the name.

Last round aggregate
"I feel supported in my workload this week."
Agree
62%
Neutral
26%
Concerns
12%
n = 47 · anonymous EL · EN sentiment

The AI doesn't improvise.
It cites.

Every response an employee receives is grounded in a validated knowledge base of more than 300 clinically vetted chunks, pulled from authoritative sources, not from whatever the underlying model happens to recall.

Guardrails run before output reaches the user. A bilingual sentiment layer (EL / EN) catches escalation cues. Anything outside clinical scope is handed off, not fabricated.

01
Employee query
via persona
02
Retrieval from RAG
pgvector · 1,600+ chunks
03
Cited answer
+ source
Protection layers · run continuously
Sentiment layer
EL / EN classifier
Safety guardrails
Crisis escalation
Out-of-scope detection
Clinical referral
Population healthWHO frameworks
Workplace researchHarvard base
Mental wellnessClinical guidelines
Sleep scienceClinical guidelines
Physical activityPeer-reviewed
NutritionPeer-reviewed
1,600+
Validated knowledge chunks
43
Committed research citations
EL · EN
Languages supported
0
Individual profiles exposed to HR

HR sees the forest.
Never the tree.

Employee trust is not a marketing line. It's an architectural commitment. Every conversation, every mood entry, every goal is anonymised and aggregated server-side before it ever reaches an HR surface. Row-level security enforces the boundary in the database itself. Minimum team-size thresholds prevent inference attacks on small groups.

01
Employee
private chat
02
Anonymisation
server-side
03
Aggregation
≥ 5 per group
04
HR dashboard
aggregates only
Row-level security

Enforced at the database layer, not in application code.

Anonymous usernames

Auto-generated at org level. HR never sees identifying information, there is no override.

Auditable consent record

GDPR-compliant consent trail, timestamped and verifiable.

Five specialised coaches.
One coherent platform.

Each persona is a distinct AI coach with its own evidence base and safety profile. Employees choose where they need support. The platform learns which dimensions drive their wellbeing, and aggregates that learning for HR, without ever exposing the individual.

01 · Norse
EIRA
Mental wellness
02 · Greek
HYPNOS
Sleep
03 · Arabic
NURA
Nutrition
04 · Greek
ATLAS
Fitness
05 · English
COMPASS
Goals · career · purpose
E
EIRA
Mental wellness · live sample
Demo
I've been waking up at 3am every night this week, anxious about work. Not sure what to do.
That pattern, early awakenings tied to work-related anxiety, is well documented in occupational health research. Before anything else, two questions that usually help place it: is this tied to a specific deadline or project, or is it more diffuse? And how have your evenings looked in terms of wind-down?
Diffuse. And evenings are usually work until 10pm.
Thank you. That context matters. Clinical sleep guidelines consistently identify the hour before sleep as the single largest controllable variable in anxiety-related awakenings. A few evidence-based starting points, ranked by impact in your situation:
  1. A hard work stop 60 minutes before bed
  2. A brief written worry-offload exercise
  3. No new inputs (email, news) in the last 30 minutes
Would you like me to structure this into a week-one protocol you can track?

Illustrative exchange. Real conversations are private to the employee and never surfaced to HR.

The research stays in the model,
not in your face.

We don't decorate the landing with footnotes. Each paper behind PillarX shapes a concrete part of the product: how we weight the Wellbeing Index, how retention risk is modelled, which intervention a signal triggers.

43
Research citations
6
Research domains
WHO-5
PERMA
Clinical foundation
Literature coverage
Clinical psychology
Occupational health
Organisational behaviour
Positive psychology
Turnover & engagement
Sleep, stress, recovery

Reviewing procurement? Preparing a clinical-advisor briefing? The full bibliography, with every DOI, journal, and how each paper informs the product, is available on request.

Request the full bibliography

This is not a side project dressed in clinical language.

PillarX is built by a team with academic, clinical, and operational credentials, and actively refined through ongoing doctoral-level research.

Petros Paplomatas
CEO
Biomedical & Molecular Sciences · Bioinformatics–Neuroinformatics (MSc × 2, PhD candidate)
Research · Product
Alex Markopoulos
CCO
Psychologist & psychotherapist
Applied Psychology Research
Nikos Psaltopoulos
Co-founder
C-Leader | Advisor
Operations
Konstantinos Konstantinidis
CTO
Electrical & Computer Engineer, MSc
Technology
Anastasia Voulgari
COO
Psychologist & psychotherapist
Operations

Fifteen minutes.
A real conversation, not a sales pitch.

Tell us a little about your organisation and we'll come back with times that work. We currently accept demo requests from teams of 50+ employees.

We respond within one business day. Your data is processed under GDPR legitimate interest, never shared.