Databook

Databook is machine learning + AI + workflow automation platform designed to enable enterprise and complex selling at scale.

Founded 2017
51-200 employees
  • Analytics & Business Information
  • Headquarters address
    350 Cambridge Ave, Palo Alto, CA 94306

    Databook Customer Intelligence Platform

    Great sales people don’t wait for prospects, they find them. And once in touch, the experienced rep knows exactly what to do. But most reps could use some help.

    Databook is technology applied to the most challenging problem in enterprise sales: improving rep performance at scale. With Databook, even the newest rep can be the smartest person in the room.

    How Databook Works

    Build trust early with every key account

    Prioritize the accounts most likely to buy, engage the key buyers, and deliver custom content that aligns to your customer’s perspective and strategic outcomes.

    AI-Powered Insights

    Understand your customer’s top-line performance to predict where they will invest next.

    Trusted Data

    Track key financial indicators and benchmark your customer against their competition.

    Real-Time Intelligence

    Leverage real-time access to dynamic insights about your customers.

    Proprietary Strategies

    Frame your account strategy using our battle-tested business case builder.

    Personalized Game Plan

    Respond to personalized sales triggers aligned to strategic priorities.

    Sales Decks in One Click

    Deliver high-quality, editable content customized to your customer and their brand.

    Customer Centricity at Scale

    Grow Your Pipeline and Top-Line

    Databook delivers AI-powered, proprietary, data-driven insights and analyses that reveal C-suite business intent that even your buyer doesn’t understand.

    What we're looking for

    We're looking for a team of strong engineers to join our team and build the DataBook platform. If you're interested in solving business challenges through technology, chat with us!

    Tech stack

    AngularJS, Node.JS, MongoDB, Redis, PostgreSQL, Python, Elasticsearch, Heroku, AWS, Google Cloud Platform, JIRA, GitFlow, Github