Quality and safety
Tucuvi combines generative AI with domain-specific knowledge to ensure safe, accurate, and context-aware patient care
QUALITY PROCESS
Accurate and explainable AI
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Human in the loop
An AI‑powered QA layer instantly flags any imperfect call for expert review, ensuring clinicians receive only precise, reliable information.
Compliance
We align with globally recognized quality, security, and privacy standards to deliver trustworthy, clinically validated, medical-grade AI.
Multi-agent approach
Each agent is powered by the best-fit AI model and tools for its task to provide the precision, scalability, and reliability a single model can’t match.
Training process
Tucuvi’s AI agents are trained on a proprietary dataset of manually labeled medical phone conversations.
MULTI-AGENT APPROACH
Precise, reliable, and scalable. Clinically validated multi‑agent intelligence
LOLA orchestrates a fleet of purpose‑built AI agents—from Scheduling to Transitional Care—delivering end‑to‑end care across the patient journey that no single‑model solution can match.
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Compliance
Secure, medical-grade AI
Tucuvi offers a robust, reproducible, and safe environment for patient‑data handling and AI‑driven healthcare tasks.
Medical‑device rigor. CE‑marked Software as a Medical Device (SaMD) with a Quality Management System based on ISO 13485.
AI governance. Accountability assured through BS 30440, and proactively aligning with the upcoming EU AI Act.
Data security. End‑to‑end protection via ISO 27001 certification, and SOC II compliance.
Our AI STRATEGY
Hallucination-free, explainable, and clinically precise AI
An enterprise-grade AI product designed for safe deployment.
AI-Assisted training
Manually‑labeled calls—plus AI‑generated simulations—give each agent deep clinical context and linguistic accuracy.
Empathy and UX validation
Clinical, conversation design, and quality experts role‑play diverse patient profiles to perfect tone, pacing, and accessibility.
Controlled production
The first batch of live calls are manually audited to ensure both performance and empathy before scaling up.
Human in the loop
An AI sentinel reviews every call in real time and routes any anomaly to a specialist, safeguarding precision at scale.
