nPlan

Machine Learning that forecasts the outcomes of megaprojects.

Founded 2017
16-50 employees
  • Information Systems
  • Headquarters address
    133 Whitechapel High Street, London, E1 7PT
    Video preview
    Play button

    We are a team of ML scientists and technologists that are solving some of the world’s most complex and impactful problems on megaprojects.

    When a megaproject is late, it has consequences that change the shape of the world around it. Rail networks, airports, water treatment, hospitals, clean energy facilities are amongst some of the projects that we work hard to help. We do this because we care about the social and financial impact on entire populations, for generations to come.

    And we work hard because this is a difficult problem. Each of these projects is incredibly complex - tens of thousands of activities to forecast and coordinate. Our datasets have hundreds of thousands of projects, worth over half a trillion dollars in total. Massive scale, both in engineering and in the nature of our problem, is something that we deal with every day, and find it rewarding when we can do things efficiently.

    We have recently won a number of awards, including Techcrunch’s Europa award for best proptech startup and “Startup of the year” by CN Techfest, and we’ve been mentioned in several articles as one of the AI companies to watch in the near future from Forbes and the Evening Standard.

    nPlan was founded by experts in construction project delivery, mathematics and machine learning, to solve a multi-trillion-dollar problem by forecasting the outcomes of construction projects and help our clients understand complexity and risk. We partner with some of the industry’s biggest players such as Deutsche Bahn, Tideway and HS2 to name a few.

    We have a strong company culture (our culture deck is here: https://www.slideshare.net/nitbix/nplan-culture-deck), centered around “radical truthfulness”, “aiming high and running fast”, and “always learning”, and we spend a lot of time sharing experience, learning from each other and developing continuously. Every Thursday we hold a free ML Paper Club, completely open to the public, where we discuss a new research paper in an open forum. If you are curious, please join us for ML, food, and an informal chat with our team about who we are and what we do! https://www.meetup.com/ML-Paper-Club/

    Tech stack

    Python, TensorFlow, Keras, Celery, GraphQL, Django, React, MongoDB, PostgreSQL, BigQuery, AWS, Google Cloud Platform, TFX, Apache Beam, Numpy, Pandas, Seaborn, Matplotlib, Jupyter, Microservices, Docker, Kubernetes, knative, istio

    Benefits

    Compensation and retirement

    Stock Options
    Pension plan

    Health and wellness

    Insurance (Health)
    EAP (Employee Assistance Program)
    On-site fitness center
    Fitness reimbursement

    Vacation and time off

    Unlimited time off
    Flexible working hours
    Work from home flexibility
    Maternity benefits
    Paternity benefits

    Personal development

    Job training
    Conferences reimbursement
    Internship program

    Values and quality of life

    Accessible via public transportation
    Bike parking
    Snacks and beverages
    Company activities
    Games and recreation
    Pet-friendly workplace
    Showers