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SANDI

SANDI provides a structured, repeatable driving simulation platform that helps neurodiverse learners build driving skills, confidence, and readiness before facing real-world road conditions. The software includes eye-gaze tracking and performance analytics that give instructors visibility into attention, behavior, and readiness. It is offered as a $499/month 12-month software license with hardware purchased separately.

Traction –/10
HQ unknown
  • Mobility & Transportation
  • Automotive Technology
  • Education Technology
  • Software Only
  • Data & Analytics
Updated 12 days ago

Funding

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

For many neurodiverse learners, real-world driving introduces too much pressure and risk too quickly, making traditional on-road instruction a poor starting point for building foundational skills. Without a structured, low-stakes environment to practice and make mistakes, learners may struggle to develop the confidence and competence needed before transitioning to live traffic.

Solution

SANDI provides a structured, repeatable driving simulation platform where neurodiverse learners can build driving skills, confidence, and readiness before encountering real-world conditions. The software creates a safe-to-fail environment where learners can practice challenging scenarios repeatedly without consequences while instructors observe performance, attention, behavior, and eye-gaze insights. This gives instructors greater visibility into learner readiness and allows them to make data-informed decisions about when a student is prepared to transition to on-road driving.

Target Audience

Primary users are driving instructors and programs serving neurodiverse learners, including those with autism and other conditions that affect driving readiness, who need a controlled environment to build foundational skills before on-road instruction.

Features

  • Repeatable driving scenario simulator that lets learners practice the same situations until mastery
  • Eye-gaze tracking and attention monitoring to provide instructors insight into where learners focus while driving
  • Performance analytics covering attention, behavior, confidence, and driving performance metrics
  • Structured practice environment with no real-world consequences for mistakes
  • Instructor observation dashboard for tracking readiness progression over time
This profile is AI-generated and may contain inaccuracies.