With DatabookGPT, you can ask any questions related to your account across various parts of the sales cycle, including:
In general, users tend to ask short informal questions that are at the top of their minds related to the above use cases. Take a look at some of our top recommended prompts here.
During our ongoing Early Adopter/Beta phase, some of DatabookGPT’s generated responses are first moderated by human experts before being returned to you—which can result in a delay of anywhere from a few minutes to a few hours. This process ensures accuracy and contextual understanding and is vital for fine-tuning our model to answer real-world questions. Don’t worry; as we progress through this phase, response rates will speed up quickly.
No. Your data will not be used to train OpenAI models. Please see this information about data privacy with Azure OpenAI.
We are not using data gathered from customers or users in our Early Adopter phase to train our own model currently. If we wish to use this data in the future, we will explain our approach to training models and the safeguards in place, and obtain written permission from our customers’ security teams, before using their data to train a model.
That means its entire foundation is centered on helping sales teams generate pipeline and close deals by answering the three why’s: Why change? Why now? Why us? DatabookGPT is grounded with the right data for this function, the right knowledge of the sales cycle, with domain expertise across numerous industries and markets, and the right capabilities to fulfill sellers’ needs productively—with both relevance and context. In this sense, DatabookGPT goes way beyond basic content generation to provide strategic lift when and where you need it most:
The technical term for this is Retrieval Augmented Generation (RAG), and that means we don’t just churn out responses using the limited data the language model was trained on. Instead, we also evaluate responses against a robust real-time dataset (not accessible by ChatGPT and other similar tools) covering 50,000+ companies and billions of data points. On top of that, some responses are audited by human experts—so you can trust that DatabookGPT is giving you the most current and accurate responses. Not only does this help the AI get smarter with every interaction, but it also eliminates those off-base, outdated or imaginary results that generic chatbots sometimes return (called hallucinations).
ChatGPT and similar chatbots are passive, meaning you have to go to them with specific prompts. They don’t initiate conversations with you—especially not conversations around your specific accounts and real-time, relevant changes. DatabookGPT is different. When there are updates on your accounts, or if deal progress seems stalled, DatabookGPT reaches out with a proactive nudge and recommended actions to keep you moving forward.
As we continue to evolve the product, DatabookGPT will be accessible to users not only through a web browser interface, but also within key applications you already use daily, like Slack and Teams, as well as SMS, email and CRM systems.
Interested in using DatabookGPT? We’re currently rolling out to early adopters in phases, so submit your details to join the waitlist.