AI Powered Triage Companion
Emergency triage,
rebuilt as an adaptive
decision system
AITC is the first clinical product built on ATL. It gives emergency departments real-time, fairness-aware, explainable triage support — embedded in existing clinical workflows.
Problem
Emergency departments face permanent surge conditions, staffing shortages, regulatory pressure. Most triage systems are rule-based, static, and ignore equity.
Solution
To provide reliable, innovative and accessible solutions that will enable individuals and businesses to achieve their financial goals.
139M
~45%
Wait times affect X admissions
Before
Triage as an adaptive,
governed
decision system
Real-time intake integration: EHR data, vitals, notes, operational signals.
Adaptive Intelligence: Multimodal urgency prediction responsive to surge conditions.
Embedded Governance: Ethics and Legal agents run fairness and policy checks inline.
Clinician Dicision Support: Transparent recommendations surfaced in the existing workflow.
Continuous Learning Loop: Federated learning across sites, no data movement.
The platform
Value Creation
Regulatory
Audit-ready governance from day one; aligned with FDA CDS and evolving AI regulation.
our features
Why AITC
(AI Powered Triage Companion)
Governance-first by architecture
Fairness embedded, not audited quarterly
Built around real clinical workflows, not theoretical AI
Designed for multi-site scale
Trust as a product requirement, not a marketing line
3-phase timeline
1
Phase 1 — Co-design & validation
Stakeholder alignment, workflow mapping, sandbox pilot.
2
Phase 2 — Pilot deployment
High-volume ED rollout, fairness dashboards, clinician feedback loops.
3
Phase 3 — Scale
Federated learning, cross-site governance, performance optimization.
Team
The Visionaries
Behind
Our Success
Imen Ameur - Founder & Lead
PhD Candidate in Public Policy (Technology & Healthcare) and Professor of Practice at Hult Business School. Leads the product vision and development, focusing on integrating AI governance, system architecture, and healthcare delivery transformation.
Husain Al-Mohssen - AI Engineering Lead (PhD)
Leads AI model development and system architecture, ensuring robust, scalable, and clinically aligned AI systems.
Ekaterina Beloborodova - GTM & Marketing Lead
Leads commercial strategy, partnerships, and market entry, supporting adoption and scaling across healthcare systems.
