Kintsugi Voice is an API-first platform, we are developing novel voice biomarker infrastructure to detect signs of clinical depression and anxiety from short clips of free form speech. We help healthcare organizations scale access to mental healthcare with smarter, more accurate triage. Our technology supports multiple use-cases to help more people get the right care at the right time.  We focus on early detection that allows you to lower cost and improve patient outcomes. We have created the first clinical-grade voice biomarker diagnostic (U.S. Patent-Pending and FDA De Novo pending) to measure the severity of depression and anxiety in real-time.

1. Kintsugi Voice only needs 20 seconds of free from speech vs. a manual screen that takes roughly 10 minutes.
2. Kintsugi Voice is language agnostic and does not listen to what a patient is saying, but how they are saying it.
3. Kintsugi has the largest annotated patient data model, validated by a psychiatrist team with more than 7 years experience. This allows us to predict depression and anxiety with high specificity and severity, based off of PHQ-9 standards.
4. Kintsugi Voice’s flexible API enables hundreds of workflows from retrospective to live in-call scoring. Typical depression screenings are typically delivered 1 time and not longitudinal. We provide the ability to longitudinally track patients across a period of time.

1. We are not a NLP tool, we do not need any canned speech and or paragraph read to detect depression and or anxiety.
2. We have the largest annotated data model in the world with over 35k patients.
3. We are supporting over 1M at risk lives.
4. 2X accuracy rating compared to the standard of care.

EMRs were built as billing support tools and evolved into medical data repositories. Nuanced data of clinical importance can be difficult to access and currently requires dedicated technical personnel with specific skills to partner with clinical staff in a laborious approach to extract specific data. In particular, flow sheets utilized in an intensive care setting, such as the NICU, are particularly challenging to access and review in a structured format.

NICUtrition Initial Insights was built to liberate NICU feeding, growth and diagnosis data from EMRs and provide robust visualizations showing patient milestones and outcomes metrics.

NICUtrition is fully integrated with the EMR, enabling real-time access of granular, clinical data and the ability to deliver high quality support within existing workflow. We have developed properietary tools to augment EHR integration, supporting overtaxed IT groups within hospitals to get up and running and deliver value and return on investment in months.