Empathetic AI by Training.
On-Prem Privacy by Design.

General-purpose cloud LLMs trigger false alarms on colloquial hyperbole while missing covert suicide preparation and stoic adult masking—and expose sensitive personal disclosures to external servers. EmpathAIc is a compact, proprietary sovereign dual-head engine that runs entirely on your institutional infrastructure with 100% unseen crisis recall across youth and adult life stages.

Clinical Governance Boundary: EmpathAIc is a deterministic triage classifier and Emotion-Focused support copilot. It is strictly non-diagnostic and engineered to route high-lethality signals to licensed human responders.
Model Architecture
EmpathAIc Sovereign Dual-Head
Life-Stage Conditioning
Youth (12–24) · Adult (25+) · Auto
Clinical Corpus Scale
Proprietary Longitudinal Lived-Experience Corpus
Contrastive Taxonomy
7-Class Subtext, DPDR, Covert Prep & Singlish
The Infrastructure Gap

Why General-Purpose Cloud Models Fail Clinical Safety

Off-the-shelf foundation models and keyword filters suffer from three disqualifying failure modes across youth and adult populations.

Literality & Polysemy Blindness

False Alarms on Slang, Blindness to Covert & Stoic Crisis

Naive classifiers trigger emergency sirens on youth gaming hyperbole (“end it all after deranking 💀”)—yet miss covert finality preparation (“rehoming my dog Friday and cleared my savings”) and sandwich-generation stoic masking where breadwinners quietly settle insurance nominations after retrenchment.

Resolved via Life-Stage Conditioning & 7-Class Contrastive Alignment
Liability-Driven Tone

Robotic Disclaimers That Shut Down Help-Seeking

Commercial cloud models are conditioned to protect corporate liability. When an individual shares existential shame, caregiver exhaustion, or family conflict, generic models immediately output sterile hotline boilerplate or patronizing advice, causing help-seekers to disengage.

Resolved via Preference-Aligned Emotion-Focused (EFT) Companion
Third-Party Cloud Egress

Unacceptable Exposure of Sensitive Mental Health Logs

Transmitting raw counseling logs, employee assistance check-ins, or crisis hotline transcripts to external commercial LLM APIs violates strict institutional data residency mandates (PDPA, HIPAA, FERPA, GDPR) and creates permanent third-party liability.

Resolved via Self-Contained On-Premise Appliance with Zero Network Calls
Platform Architecture

One Sovereign Image. Two Specialized Clinical Personas.

Test both personas in the Signal Workbench
Persona A · Clinical Triage HeadReason-First Structured Output

The Sentinel Classifier

Engineered for intake queues, moderation pipelines, and institutional well-being dashboards. Evaluates raw disclosures using Reason-First psychodynamic analysis and demographic conditioning (`youth` 12–24 vs. `middle_age` 25+) before scoring a deterministic 5-tier risk classification.

Reason-First Psychodynamic Subtext Extraction Prior to Risk Scoring
Life-Stage Polysemy Conditioning & Longitudinal Trajectory Tracking
100.0% Crisis Safety Recall Across Held-Out Validation Cohorts
Persona B · Supportive Dialogue HeadTrauma-Informed Output

The Companion Responder

Engineered for peer-support interfaces and counselor response drafting. Speaks directly to the individual with warm, non-clinical Emotion-Focused validation—free of patronizing psychiatric clichés or hallucinated foreign helplines.

Grounded in Emotion-Focused Therapy (EFT) & Lived-Experience Narratives
Native Fluency in Singlish, NS/Academic Stressors, and Sandwich-Gen Burnout
Deterministic Regional Helpline Injection with Zero Neural Hallucination
Where EmpathAIc Operates

Built for High-Compliance Institutional Environments

Explore deployment architectures & TCO

Education, EAPs & Public Agencies

On-premise student wellness, National Service, and workplace EAP triage infrastructure with complete PDPA, FERPA, and HIPAA data residency.

Institutional specification →

Crisis Hotlines & NGOs

Sub-4-second asynchronous intake queue prioritization, multi-day trajectory tracking, and responder drafting with $0 per-message API fees.

Crisis hotline specification →

Gaming & Digital Communities

High-throughput trust and safety webhooks that cut colloquial slang false alarms by 80%+ while catching covert farewell and finality posts.

Platform moderation specification →
Vetted Institutional Provisioning

Evaluate EmpathAIc on Your Own Infrastructure

Apply for access to the full empirical safety dossier and the encrypted on-premise evaluation appliance. Every deployment request undergoes manual identity and clinical mandate verification prior to dispatch.

Secure Request Access to Vetted Institutional Dispatch