Our Products

Two wearables, one purpose: edge AI applied where it genuinely changes outcomes.

For Schools

CurioBand

AI-powered student safety infrastructure

CurioBand is an AI-powered wearable that protects students, automates attendance, and gives schools real-time visibility into campus safety. The system combines a privacy-first wearable with an on-premise AI engine and a real-time school dashboard.

CurioBand is in development, with free 90-day school pilot programs launching July 2026. The product is DPDP compliant and designed for CBSE schools.

  • Real-time distress detection via biometric signals
  • Zero-touch automated attendance
  • On-premise AI: student data stays within the school
  • Real-time school dashboard
  • DPDP compliant
In development, available July 2026

CurioBand

Student safety wearable

Vibe

Sound awareness wearable

For Accessibility

Vibe

Sound awareness wearable for the deaf

Vibe is a smartwatch-form-factor wearable that detects critical environmental sounds and alerts the wearer through vibration and visual cues. Designed for deaf and hard-of-hearing users from day one, Vibe addresses a gap that hearing aids and mainstream consumer wearables don’t fill.

Vibe is invented at IIT Madras by Prof. Anil Prabhakar (Department of Electrical Engineering). The technology is being licensed to CurioNext through IIT Madras ICSR. Vibe is being developed for pilot deployment in 2026, with distribution through Disabled People’s Organizations, schools for the deaf, and the ADIP scheme.

  • Detects sirens, alarms, doorbells, voices
  • Vibration plus visual alerts
  • On-device AI, privacy-preserving
  • All-day battery life
  • Designed for affordable access
In development · Pilot planned 2026

One technical foundation, two products

Both CurioBand and Vibe run on CurioNext’s core technical stack: edge AI on wearables, multi-modal signal processing, and on-device intelligence. The same engineering competence that lets CurioBand detect distress in a student’s biometrics powers Vibe’s ability to recognize a fire alarm in a deaf user’s environment. We build infrastructure once and apply it where it matters most.