One Concern

One Concern is a Menlo Park-based benevolent artificial intelligence company with a mission to save lives and livelihoods before, during, and after natural disasters.

Founded 2015
51-200 employees
  • Enterprise Software
  • Headquarters address
    855 Oak Grove Ave. Menlo Park, CA

    Our platform provides unprecedented situational awareness and actionable insights for decision-makers. Join us on our quest for planetary resilience.

    What We Are

    One Concern's product allows you to:
    - Predict and react to the impacts of natural disasters
    - Run realistic training scenarios and build collaborative plans to better prepare for emergencies
    - Conduct multi-hazard analysis of its critical intrastructure and deeply understand cascading impacts
    - Recover faster after an event by seeing the complex interdependencies of your ecosystem - like healthcare, power, food, shelter, and more - at a hyperlocal level

    Who We Are

    Our long-term vision is for planetary-scale resilience where everyone lives in a safe, sustainable and equitable world.

    CEO Ahmad Wani survived being marooned during the catastrophic Kashmir flood of 2014 for seven days wondering whether he would live or die. That was when he decided to dedicate himself to creating an AI-enabled platform designed to build long-term resilience.

    While at Stanford University, Ahmad met AI guru Nicole Hu and earthquake expert Tim Frank, and together they channeled their collective passion into figuring out how to apply data science and machine learning to natural disasters and climate change.

    https://www.facebook.com/stanford.engineering/videos/10155439092339600/

    At the end of every day, we feel like we are doing something significant to make the world a better place.
    We’re building a global disaster-intelligence platform with one concern in mind: saving lives. We’re using AI and machine learning to (1) create a robust, disaster-resilient cloud infrastructure, (2) create a real-time big data pipeline to inform disaster response and modeling, and (3) combine traditional hazard models with machine learning to provide clear pre-disaster insights, while capturing post-disaster data to continuously improve response and recovery.

    Tech stack

    Python, Go, React, Kubernetes, PostgreSQL, Elasticsearch, nats streaming, Spark, TensorFlow, TypeScript

    Benefits

    Compensation and retirement

    Stock Options
    401k
    Cell phone reimbursement
    Commuter assistance plans

    Health and wellness

    Health insurance
    Dental insurance
    Vision insurance
    Life insurance
    Fitness reimbursement

    Vacation and time off

    Unlimited time off
    Paid holidays
    Flexible working hours
    Maternity benefits
    Paternity benefits

    Personal development

    Internship program

    Values and quality of life

    Accessible via public transportation
    Bike parking
    Snacks and beverages
    Catered lunches
    Company activities
    Games and recreation
    Showers
    One Concern - Company Photo
    One Concern - Company Photo
    One Concern - Company Photo