Agentic Hybrid RAG Factual AI™ Platform

BrightQuery provides rapid, actionable intelligence for capital markets, government agencies, and the future of defense.

BrightQuery’s platforms contribute to the National Secure Data Service (NSDS) initiative, funded under the 2022 CHIPS and Science Act, advancing secure data access and linkage solutions to support evidence-based decision-making

What is the Agentic Hybrid RAG Platform?

The Agentic Hybrid RAG Platform is an AI-powered data fusion system, already trusted by leading organizations in capital markets and government sectors. It delivers rapid, actionable insights by merging structured data (e.g., financial reports, census data) with unstructured information (e.g., news articles, policy briefs). This seamless integration empowers users to make well-informed, data-driven decisions based on comprehensive, cross-referenced intelligence.

Now, this proven platform is being adapted for defense applications, where it will provide mission-critical insights by fusing battlefield intelligence, logistics data, and sensor feeds. Built on an open-source, modular architecture, the platform scales to meet the demands of ever-evolving data landscapes, ensuring it remains adaptable to the latest AI innovations and industry requirements.

Platform Capabilities:

Scalability and Flexibility: Designed to process high volumes of data efficiently, the platform scales dynamically to serve industries from finance to defense, providingconsistent performance across diverse workloads.
Advanced Data Fusion: Unifies structured and unstructured data from multiple sources, creating a comprehensive, coherent view. This integration enables fully contextualized insights for informed, cross-sector decision-making.
Bias Mitigation: Utilizes advanced data cross-referencing to reduce bias, ensuring objective, trustworthy outputs. By refining data at each stage, the platform delivers reliable, unbiased analysis essential for critical applications.

Current Market Applications

Capital Markets: Delivering Rapid Insights for Financial Analysis

In capital markets, the Agentic Hybrid RAG Platform integrates structured financial data with unstructured sources, like news articles, regulatory filings, and social media sentiment, to deliver rapid and accurate insights. The platform equips financial analysts, traders, and risk managers with the intelligence needed to navigate volatile markets, forecast trends, and mitigate risks with precision.

Key Elements for Capital Markets:

- Market Forecasting: Delivers data-driven predictions by blending historical data with real-time news and events, allowing for more accurate market predictions.

- Risk Management: Uncovers emerging risks through deep analysis of diverse data streams, offering a proactive approach to market threats.

- Fraud Detection: Cross-references structured financial data with news, social media, and legal filings to detect anomalies that signal potential fraud.

Government: Supporting Policy Decisions and Intelligence Gathering

The Agentic Hybrid RAG Platform is already utilized by government agencies to streamline policy analysis and intelligence gathering. By fusing structured datasets, such as census data and economic reports, with unstructured sources like open-source intelligence, media, and public sentiment, it delivers rapid, actionable insights for policymakers and analysts.

Key Elements for Government Use:

- Policy Impact Analysis: Combines structured data with reports, media, and public sentiment to give policymakers a full view of the potential impacts of proposed legislation or policies.
- Intelligence Gathering: Integrates intelligence reports and open-source data, enabling fast, data-driven decisions for national security and governance.
- Data-Driven Decision Support: Assists governments in analyzing vast data volumes to enhance policy decisions and program implementations.

Adapting for Defense: Data-Driven Command and Control

The Agentic Hybrid RAG Platform is being adapted for defense, bringing its powerful data fusion capabilities to support military operations and command and control. In the defense environment, the platform will merge structured data like troop movements, logistics data, and equipment status with unstructured sources such as battlefield reports, intelligence communications, and sensor networks, giving commanders a view of critical battlefield information.

In defense, the platform will provide:

Operational Command and Control: By combining structured data with unstructured reports and sensor data, the platform will deliver a unified view of battlefield intelligence, enabling faster and more informed decision-making.
Predictive Insights: Advanced AI models will predict potential threats and highlight emerging risks, allowing military leaders to anticipate movements and adjust tactics proactively.
Enhanced Situational Awareness: The platform fuses multiple data streams into one cohesive view, ensuring commanders have a clear picture of the battlefield and can react swiftly to changing conditions.

Mockup of BQ’s Predictive Hybrid RAG Platform Department of Defense

Government Awards and Recognitions

Awarded Projects:

BrightQuery has three projects funded by the National Science Foundation (NSF) that involve the development of data access and analysis platforms. While these projects share some broad technical elements with the current proposal, they serve different purposes and target different sectors, ensuring there is no overlap in effort or focus.

1. Data Access Alternatives, Artificial Intelligence-Supported Interfaces

Lead Agency: National Center for Science and Engineering Statistics (NCSES)
Funding Agency: National Science Foundation (NSF)
Award Amount: $1.4M awarded in August 2024
Contract: Project Details
Summary: This project focuses on creating AI-driven interfaces to improve data accessibility for scientific and educational datasets. Although AI and data processing capabilities are part of both efforts, this project is tailored to the needs of academic research and public policy sectors, and its scope does not intersect with the operational or defense-specific requirements of the current Space Force proposal.

2. Building Capacity for State, Local, and Territorial Governments to Use Administrative Data for Evidence-Building

Lead Agency: Bureau of Labor Statistics (BLS)
Funding Agency: National Science Foundation (NSF)
Contract: Project Details
Award Amount: $1.26M awarded in August 2024
Summary: This project supports state and local governments by providing AI tools to utilize administrative data for decision-making. The scope is primarily focused on public policy and government operations, with no overlap in the defense-specific objectives or stakeholders involved in the current Space Force proposal.

3. AI-Ready Data Products to Facilitate Discovery and Use (AI-RD-24)

Lead Agency: Bureau of Economic Analysis (BEA)
Funding Agency: National Science Foundation (NSF)
Contract: Project Details
Award Amount: $1.00M awarded in September 2024
Summary: The objective of this project is to explore how a future National Secure Data Service (NSDS) could provide shared information and tools for making statistical data products more readily ingestible by AI technologies. These resources could support federal agencies and their partners throughout the data and evidence ecosystem as they balance the risks and rewards of leveraging generative AI to expand the reach of their statistics.