Disease-specific AI models that see patterns. Agents that act on them.
AINA and the Orchestrator are already powering AI-driven insights across inpatient settings, while laying the groundwork for hundreds of disease-specific agents to come.
Our agents
Respiratory rate and work of breathing detection
What the agent does
Recognizes visual cues that suggest increased respiratory effort and work of breathing.
How the agent works
Analyzes real time video and augments other multimodal inputs to detect abnormal breathing patterns.
The benefits
Enables timely interventions by rapid response teams and improves patient safety.
Pain and sedation monitoring
What the agent does
Monitors for visual signs of reduced consciousness or excessive sedation, flagging them for timely clinician review.
How the agent works
Enables personalized pain and sedation management, reduces sedative use, and allows potentially faster recovery.
The benefits
Enables personalized pain and sedation management, reduces sedative use and allows potential faster recovery
Central line infection prevention
What the agent does
Detects early signs of central line infection and monitors sterile handling practices.
How the agent works
Analyzes video data with EMR logs to identify contamination risks or maintenance lapses.
The benefits
Lowers infection rates, minimizes penalties, and strengthens infection-control compliance.
Pre-trained Disease specific Workflow-native
Our AI isn’t generic. Each model is pre-trained on the world’s largest clinician-annotated inpatient video dataset, built disease by disease, and validated in real hospital environments. Every agent is designed to fit directly into workflows, delivering clinically accurate insights.
Our AI isn’t generic. Each model is pre-trained on the world’s largest clinician-annotated inpatient video dataset, built disease by disease, and validated in real hospital environments. Every agent is designed to fit directly into workflows, delivering clinically accurate insights.
AI that is safe and reliable
Our dataset is the largest clinician-annotated inpatient video library
We build for safety first.
Our models are pre-trained on our proprietary, clinician-validated data, not general sources. Each agent is built and tested with physicians and nurses across inpatient settings to ensure alerts are accurate, relevant, and reliable.
Questions we answer often
How can you help us deploy this model ?
We understand the daily pressures of care delivery because we’ve been there too. Our clinical and technical team works closely with you to understand your needs, operationalize AI and make sure that the outcomes you want are met.
Will you use our data to train your models ?
Our proprietary models are trained on large, annotated, anonymous, medical-grade video datasets. AINA analyzes real-time video feeds without the need to store your data.
How do you integrate into our existing hospital workflows?
We deploy hardware agnostic solutions that are customised to your infrastructure and needs, whether on-premise or in the cloud.
How do you handle data privacy?
Your data stays within your hospital’s environment. Our systems operate securely on-premise or in your cloud, ensuring full compliance with privacy standards without any external data transfer.
If we have existing devices, do we need to buy new hardware to implement AINA?
Not at all. AINA works with your existing infrastructure (monitors, cameras, tablets, cell phones, etc). We utilize existing hardware to implement AINA into your workflows without the need for any interface or device upgrades.
Autonomous care
isn’t a question of if, but when. We’re building the future of inpatient care.
For hospitals ready to lead, we’re the partner.
For hospitals ready to lead, we’re the partner.
Schedule a demo to see how AINA transforms patient care
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