Evidence-Led Innovation. Built on Clinical Rigor
Our proprietary architecture is the result of deep academic research into the complexities of clinical data—ensuring safety remains at the center of our development.
Addressing Human Variance →
Before writing our first line of production code, we conducted a foundational study in partnership with the University of Galway. We analysed 6,000+ data points to understand a fundamental truth: even experienced clinicians disagree 77.1% of the time.
This research became our Developmental North Star. It taught us that "Black Box" AI is insufficient for healthcare. Instead, we built a system designed to handle the nuances, contradictions, and subjectivity of real-world medicine.
The Governance Timeline
2023-2024 | Foundational Research (Completed)
Qualitative analysis of 6,000+ data points to identify failure modes and human-evaluator disagreement patterns.
Late 2024
Architectural Shift (Completed) Transitioned to the "Assistant + Judge" model to provide a rules-based safety layer over AI outputs.
Active | National Evaluation (In Progress)
Active | Enterprise Pilot & Local Assurance (Pre-Deployment)
Independent evaluation with Health Innovation Hub Ireland (HIHI) & the HSE within live adult outpatient pathways.
Implementing the Beacon Protocol to establish site-specific statistical safety baselines.
From Research to Reality: The Assistant + Judge
Our architecture was specifically engineered to solve the challenges identified in our early academic modeling:
The Problem: Standard LLMs can misinterpret or "guess" when faced with complex, unstructured clinical faxes.
The Alto Solution:
We introduced a rules-based "Judge" layer. This module validates the "Assistant's" output against jurisdiction-aware clinical protocols.
The Safety Guarantee
If the system detects uncertainty, it doesn't guess—it flags the case for immediate human review, providing an auditable evidence trail for the decision.
The Beacon Protocol – Continuous Evidence
01
Safety Baseline Study
We validate 400+ cases specific to your clinic’s unique case mix to calibrate the “Assistant” and "Judge" module.
02
Silent Shadow Mode
Alto processes live referrals in the background, comparing its "Silent Predictions" against your clinicians’ actual decisions without influencing live workflows.
03
The Evidence Phase
Once local alignment is confirmed, the system moves to "Helper Phase," continuing to generate performance data until we hit a 1,000+ case validation milestone.
Academic Rigour & Validation
Alto is committed to radical transparency. By categorising error taxonomies—identifying missed, hallucinated, or misinterpreted data—we continuously harden our system against real-world failures.