IIIT Bangalore - Investor Profile and Portfolio

Provider of an AI-powered credit decisioning platform for financial institutions. The platform automates and enhances credit underwriting processes. It integrates with existing lending ecosystems to provide automated credit decisions. The companys technology uses diverse data sources and machine learning algorithms to score applicants, including those without traditional credit scores, and aims to promote fair and equitable lending.

Provider of space communication technologies and solutions for satellite and space missions. Its work involves developing technologies that enable reliable communication between satellites, spacecraft, and ground systems.

nSmiles offers a suite of mobile apps for mental and emotional wellness. Its range of apps includes Happy Being App, a daily mind care trainer; Pregnancy Body-Mind Care, for to be and expecting mothers and nSmiles Club, a self-assessment and expert help app. Claims to be confidential and based on practical and evidence-based techniques. Runner-up at the "Global Startup Battle" 2014.

Wearable healthcare intelligence platform that helps hospitals continuously monitor elderly and post-discharge patients and identify meaningful changes in recovery earlier. It is an elderly or post-discharge patient leaves a hospital, clinicians have limited visibility into what happens between visits. Families rely on manual check-ins, while care teams often receive information only after a patient's condition has worsened. It combines a phone-independent wearable with a healthcare intelligence platform to continuously capture physiological, movement and behavioural signals. Instead of presenting isolated measurements, the system builds a patient-specific baseline and analyses longitudinal changes to surface meaningful recovery trends, anomalies and risk indications for care teams. Our technical differentiation is a multimodal sensing architecture that combines physiological and motion signals through a sensor-fusion layer rather than relying only on individual threshold alerts. The goal is not to generate more data, but to turn continuous data into actionable healthcare visibility.