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Introduction

Numbers Station is an AI-native solution for end-to-end data analytics that leverages a multiagent architecture built with specialized agents to reason through complex questions and workflows.

As you build more complex questions, it retains context and incrementally builds different scenarios to answer an infinite range of questions from your data sets. The AI learns with more questions and applies that knowledge to the entire data stack—solving complex data problems more accurately and efficiently the more it's used.

How is Numbers Station Different?

At Numbers Station, we are pioneering foundation model-powered technology that removes the barriers to entry faced by existing AI automation solutions, unlocking new possibilities for enterprise data automation. Our team, with years of experience in the Stanford AI lab, has developed data task automation technology and spearheaded the use of foundation models for these tasks.

Our foundation models act as AI analytics agents, enabling collaboration through natural language to offload repetitive data tasks and increase productivity. The intuitive interface empowers everyone, not just AI experts, to customize and implement data task automation into their workflows. The majority of time during the data analysis process goes to understanding what variables could motivate a certain decision. Using Numbers Station, enterprise data tasks that typically require weeks or months can now be automated in minutes by simply conversing with our model.

Feature Highlights

Enhanced Business Understanding

  • Numbers Station retains context and incrementally builds different scenarios, allowing it to understand your business as deeply as you do.

Advanced Natural Language Conversations

  • Utilizes the power of Numbers Station AI for data profiling, schema creation, and data matching.
  • Provides comprehensive solutions, not just answers, leveraging the available data.

Custom-Built Agents

  • Built on a secure, data-aware platform, creating a network of custom-trained agents to run in your data center.
  • The collaborative effort of multiple agents seamlessly addresses complex analytical tasks, ensuring robustness and efficiency.

Conversational Analytics

  • Understands high-level questions without requiring technical skills or knowledge.
  • Learns from more questions and applies that knowledge across the entire data stack, solving complex data problems more accurately and efficiently over time