Funding
Funding not disclosed
Founders
Product
Problem
Many organizations struggle to integrate mental‑health research into talent development, resulting in generic training programs that overlook individual wellbeing, trauma histories, and relational dynamics. This gap leads to lower employee engagement, reduced productivity, and higher turnover, especially when support services are inaccessible, costly, or not tailored to workplace contexts.
Solution
Neuroconnected Growth offers an AI‑enabled platform built around the HEART framework—Human‑Centered, Evidence‑Informed, Attachment‑Aware, Relational, and Trauma‑Sensitive. The platform delivers scalable, data‑driven interventions that combine scientific insights with personalized support for individuals, teams, and enterprises. AI models analyze psychometric and behavioral data to recommend evidence‑based development pathways, while embedded tools facilitate trauma‑sensitive coaching, relational exercises, and continuous wellbeing monitoring. Organizations access dashboards that track wellbeing metrics, skill growth, and team dynamics, enabling leaders to make informed decisions that align performance with mental‑health best practices.
Target Audience
Primary customers are mid‑size to large enterprises, HR departments, and talent development teams seeking evidence‑based, scalable mental‑health integration for their workforce.
Features
- AI-driven assessment engine that integrates validated mental‑health questionnaires and performance data to generate personalized development plans
- Trauma‑sensitive coaching modules that incorporate attachment‑aware techniques and relational exercises for individuals and teams
- Real‑time wellbeing analytics dashboard with evidence‑based KPIs, trend visualizations, and alerts for risk factors
- Scalable API that connects the platform to existing HRIS, LMS, and employee engagement tools
- Secure, GDPR‑compliant data handling with end‑to‑end encryption and anonymized reporting
- Continuous learning loop that updates AI recommendations based on outcome measurements and new research findings