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Make your data buzz with Brighthive.

One platform. One thousand possibilities.

Meet Brightbot

Powered by a sophisticated AI, Brightbot helps you Clean, Organize, Manage and use your Data. Right away.

Here's how it works:

Meet BrightBot

BrightBot isn't another chatbot. She's a whole team of AI agents that do your data work for you.

Ask the question.

Get the answer from your data.

BrightBot does the work.

Your AI-assisted data journey starts with these four steps:

Unify and enrich your data

Easily integrate with a multitude of connectors

We provide support for and seamlessly integrate with any open-source software

Step 1: Connect

Plug and play with your data lake, warehouse, database, or spreadsheets. Connecting your data wherever it lives. 

Choose who in your network has access to what data and what they can do with it

Automate monitoring of data policies critical to sharing, including privacy, quality, usage, transparency, and bias

Turn folk knowledge and disparate documents into a coherent data strategy

Step 2: Govern

Simplify access to data, analytics, and insights while enabling centralized governance and consistency.

Create collaborative data projects using templates or from scratch

Analyze data with built-in analytics tools

Search across pooled metadata to easily find the right data, no matter where it’s stored

Step 3: Build

Bridge data assets with AI for deeper business intelligence and new insight from exploration to production.

One click destination creation to present insights in front of stakeholders with dashboards, reports, and visualizations

Prioritize security with pre-sharing compliance checks

Seamless table-to-API and SQL-to-visualization transitions

Step 4: Share

Insights at your fingertips -  increase productivity and effectively parse out valuable information for data driven decision making.

An All-in-One AI Data Team

BrightBot combines the skills and talents of multiple data teams into one user friendly AI.

Allowing you to access and analyze information like never before.

Data Connection Team

Ensures seamless integration and data flow across various platforms, databases, and applications.

Data Knowledge & Governance Team

Helps you define terms, create and manage data policies, and monitor privacy and compliance.

Data Exploration & Analytics Team

Uncovers insights, patterns, and trends within large datasets to support decision-making and strategic initiatives.

Data Engineering Team

Ensures that data is accessible, reliable, and usable by building and maintaining data models and pipelines.

Data Visualization Team

Designs and creates compelling visualizations by leveraging tools to develop interactive dashboards, reports, and presentations.

Data Strategy Team

Bridges the gap between technical data analysis and business strategy, helping author strategy documents from your data.

Quality Assurance Team

Assess the quality, accuracy, and completeness of data to ensure its reliability for decision-making purposes.

Custom Tools and Skills

Build your own chatbot for your data with custom skills using the BrightBot Agent Studio.

See it for yourself

Everything you need, all in one platform.

BrightBot's intelligence combined with your fully integrated and accessible data revolutionizes how you analyze, strategize, and succeed.

Hundreds of Supported Connectors Out-of-the-Box

Seamlessly connect your internal data sources, partner data sharing, subscription data, and build custom data connectors with AI.

Seamlessly connect with all major apps

Brighthive streamlines your workflows and boosts productivity by easily integrating essential tools for smooth, efficient operations.

Kaman

Data Coach at Education Design Lab

“It’s like the other platform we have to use is Windows95, and Brighthive is Google. Its simple, beautiful, and smart. We’re all Brighthive fans here. Can we get t-shirts? Seriously, we’ll venmo you.”

Brighthive Insights & Resources

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Who We've Helped

Making meaningful substance from data mass

Our all in one solution propels today's teams, wherever they sit in the organization, to seamlessly work with their data assets without the need for on staff data engineering skillset or compromising governance, security and privacy.

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