Intelligent network to connect cars and reduce accidents to zero

Mission: At Newton Technologies, we aim at developing technologies that will enable us to reduce the number of driving-related deaths from 1.3 million every year to zero.

Problem: Driving is one of the top 10 causes of death (over 1.3 million people die in driving accidents every year) and the only human-controlled one.

Initial Product: We are building a virtual assistant for commercial fleets. By providing personalized insights to every driver, we help them maximize their safety and efficiency.

Our initial analytics service leverages affordable and easily available technology to analyze how people drive, allow vehicles to communicate with each other and organize data about cities, helping people drive better and more safely.

Traction: We’re in talks with transportation companies to offer them access to our analytics service. The companies that have shown initial interest have a total of +500k vehicles.


Phase 2: Smart Infrastructure

In 1.5 years, our plan is to use the technology and data to work with cities to redesign their traffic systems, making them smarter and connected.

Carnegie Mellon ran a pilot project in Pittsburgh for connected, adaptive traffic lights with encouraging results. They were able to reduce ride time by an average of 26% and time idling at traffic lights by 40%.

Phase 3: Connected Autonomy

All autonomous vehicles will also need to communicate with other autonomous vehicles from different automakers, with traditional vehicles and with traffic systems. Our plan for phase 3 is to work with automakers to have embedded software in autonomous vehicles automatically take action on the data and real-time insights generated on the platform.



Lawrence Lin Murata: Stanford B.S.’ 17 in Computer Science (AI)

Background: Microsoft (Security), Apple (Siri AI), CS+Social Good (founder/founding President), Stanford CS (Lecturer for CS 50, CS 106S, CS 90SI. Advisor for CS 51, CS 52, CS 53SI), Washington Post Group, Apoie Um Talento (a Brazilian crowdfunding platform I started to help my friends and I raise money to pay for college tuition, which I used to cover part of my college tuition).

CS+Social Good is an organization to empower people to use technology for good. As one of Stanford’s most prominent organizations, we have built a community of 1500+ students at Stanford, managed a team of 70 core team members, created 6 new official Computer Science courses, and started our own summer fellowship. We’re now present in 4 universities (Stanford, Cornell, Georgia Tech, Brown). Half of the Newton team comes from the CS+Social Good team.


We are a team of passionate engineers, with experience doing AI at Apple, developing a security library at Microsoft, teaching CS at Stanford, researching at Stanford’s AI Lab, and founding/growing organizations/ventures.

Debnil Sur, Stanford B.S.’ 17 M.S.’ 18 in Computer Science (AI). Background: NASA, Rubrik, Facebook AI, CS+Social Good (founding Board Member), Stanford CS (Advisor for CS 53SI), Salesforce.

Krishna Gorrepati, Stanford B.S.’ 20 in Mathematical and Computational Science, CS+Social Good (Board Member).

Sanyam Mehra, IIT Delhi B.T.’ 14 in Electrical Engineering, Stanford M.S.’ 18 in Electrical Engineering (Computer Vision). Background: Actively involved as a researcher in the Stanford AI Lab. Worked with Andrew Ng, and currently working with Fei-Fei Li at the Stanford Vision Lab as a Graduate Student Researcher. BCG (Management Consulting) and Texas Instruments. Stanford Digital Shapers Core Team Member.

Tian Tan, Stanford PhD researching traffic optimization. Background: focus on deep Reinforcement Learning. Doing research on adaptive traffic signal control by using advanced RL to reduce real-world traffic congestions.

Tom Tsai, Illinois Tech B.S.’ 11 in Computer Science. Background: StubHub, The Hunt (iOS lead; acquired by Pinterest).