Unlock Revenue Growth Beyond RFPs with DocketAI

DocketAI is designed for high precision and accuracy, targeting nearly 95% accuracy with a maximum hallucination rate of 2.7%. Unlike Glean, which is a generic search and summarization tool, DocketAI performs extensive data cleansing to ensure precise and specific outputs. DocketAI also continuously learns from top performers and unstructured data sources, enhancing its ability to provide accurate and relevant sales-specific answers.

Additionally, DocketAI incorporates mechanisms to handle outdated data by weighing newer information more heavily and identifying conflicting information from multiple sources.

Organizations can implement DocketAI in less than 2 hours of human effort, and it can be ready to go live in less than 24 hours. The implementation involves three steps: 

Integrating Docket with sources of tribal knowledge (with over 100 integrations available).

Adding website or knowledge base URLs for Docket to crawl and learn from

Allowing 10-24 hours for Docket to ingest the data. 

Once ingestion is complete, users can ask questions in Slack/MS Teams, Chrome Extension, or Web App. 

In contrast, Glean is a generic search and summarization tool that doesn't offer the same specialized setup and learning from unstructured data like Slack and Gong, making Docket significantly faster and more efficient to set up.

Yes, DocketAI provides more sales-specific insights than Glean. DocketAI is designed to support last-mile sales use cases by leveraging advancements in genAI, cloud computing, and data security. 
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It features the Sales Knowledge Lake™ (SKL), a dynamic AI-driven repository that unifies and organizes sales information from diverse sources. The SKL continuously ingests both structured and unstructured data, ranking and categorizing it by relevance, recency, and resonance. This ensures that sales teams receive instant, accurate, and verifiable answers and actionable insights.
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Additionally, DocketAI supports custom document generation, automating the filling out of sales documents like RFPs and RFIs, and continuously learns from the best practices of top sellers to improve over time.

Yes, DocketAI offers superior support for technical and product-related queries compared to Glean. DocketAI is specifically designed for sales enablement and focuses on understanding the intent behind questions, such as whether they are related to competitive intel, data security, compliance, objection handling, or product features. It provides precise, context-aware answers by learning from unstructured data sources like Slack and Gong, and structured sources like FAQs and documents.
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Additionally, DocketAI continuously learns from the best practices of top sellers and integrates deeply with multiple sales information sources, ensuring that the knowledge base remains relevant, recent, and resonant.

DocketAI performs extensive data cleansing to ensure that the output is precise, whereas Glean, being a generic search tool, stores everything, which can lead to less precise answers.

Additionally, DocketAI is designed with sales-specific workflows in mind, it provides solutions that help to move deals forward effectively.DocketAI also provides a confidence score to gauge the accuracy of an answer, which a subject matter expert vets.