Business analysis

eRAG GenAI ✓

ChatGPT with your Operational Data. Just Ask!

Source rating 5.0 (5) 25k views 13 saves 2 comments Paid
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Verdict

A quick read before you dig into the full page.

Best if
ChatGPT with your Operational Data. Just Ask!
Skip if
Deploys within 2-3 weeks
Pick this when
Transforms structured data

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Overview

GigaSpaces eRAG is a groundbreaking GenAI product that gives you the power of ChatGPT with your operational structured data and tap into the heartbeat of your business. With eRAG, you can easily ask questions, dive deeper with follow-up questions and enjoy amazing real-time, ad hoc data exploration – all with the terrific ChatGPT user experience. It democratizes insights so every employee can make effective decisions. eRAG connects your business data with external events, so that you can weigh the effect of new tax legislation or weather disruptions on your operations.
eRAG is used by business leaders organizations across industries:
Operations leaders use eRAG to identify bottlenecks, and improve efficiency in areas such as order timelines and supply status
Business leaders use eRAG for critical data related to finances, planning and compliance, for example, assessing expansion viability based on branch performance
Logistics managers use eRAG to lower the cost of delivery routes
Sales managers use eRAG optimize sales growth and customer acquisition
eRAG deploys safely in 2–3 weeks without pipelines or prep. Through a self-serve UI, IT teams can connect SQL-based databases like Oracle, PostgreSQL, SAP and other systems in just a few clicks. No ETL, data prep, data modeling or special configuration required. eRAG is built to meet enterprise standards from the ground up, so that data stays private and is never shared with public LLMs or used to train LLMs outside of your secure instance. Encryption and access controls ensure data protection and secure access.
eRAG combines all your operational data sources so you can get a full, unified picture of your business, offering measurable revenue and efficiency outcomes. With its sophisticated semantic reasoning capabilities, eRAG ensures you get accurate, consistent answers.
  • Integrates With Microsoft Copilot
eRAG GenAI website

Best for

Short scenarios where eRAG GenAI tends to shine.

  • ChatGPT with your Operational Data. Just Ask!

Example outputs 1

Sample generations and before/after results for eRAG GenAI.

Access & connections

Where you can use eRAG GenAI, and what it plugs into.

Platforms

Web

Integrations

API

Public API available

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Capabilities

What this tool accepts, produces, and is strongest at.

Input

  • API
  • Tabular
  • Text

Output

  • Text

Highlights

  • API
  • MCP
  • Local

Supported features

  • API
  • MCP
  • Runs Locally

Pros & cons

Pros

  • Transforms structured data
  • No need for ETL
  • IT-friendly
  • Understands natural language queries in multiple languages
  • Advanced semantic reasoning
  • Translates queries into SQL
  • Clear and accurate responses, multiple languages supported
  • Cross-industry application
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  • Suggests next steps
  • Challenges assumptions
  • Validates decisions
  • Integrates data from multiple sources
  • Fast deployment
  • Finds new revenue sources
  • Reduces costs
  • Accelerates business cycles
  • Provides full visibility
  • Supplies actionable insights
  • Harmonizes multi-source integration
  • Facilitates decision validation
  • Multi-sector utility
  • Generates measurable business impact

Cons

  • Deploys within 2-3 weeks
  • No indication of scalability
  • Requires live data access
  • No explicit data history tracking
  • Requires natural language inputs

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Releases 1

Initial release December 18, 2025 Current
Initial release of eRAG GenAI.

Imported reviews 2

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Ziggi Zukerman Dec 22, 2025 v@ initial release

Love to try this, sounds exactly what I need to run my operations without BI reports

Will Mitchell Dec 19, 2025 v@ initial release

Can't wait to try this out, thanks!

FAQ 12

What is GigaSpaces eRAG?
Esther Levine
🛠️ 1
tool
wrote:
eRAG combines the power of real-time operational data with GPT’s fantastic user experience: Chat spontaneously and get immediate answers grounded in a unique understanding of your operational data.
eRAG continuously learns your business context. It answers complex, cross-system questions instantly, supports decisions with suggestions, challenges, and next steps. And you can get up and running in 2–3 weeks - no data prep needed.
GigaSpaces eRAG GenAI is an AI tool designed to transform structured data into accessible insights. The core functionality of GigaSpaces eRAG GenAI revolves around understanding, responding to, and probing structured data queries posed in natural language, translating these questions into SQL queries through advanced semantic reasoning.
With which data sources does eRAG integrate?
Esther Levine
🛠️ 1
tool
wrote:
eRAG integrates with all structured data sources, including data bases such as Oracle, PostgreSQL, MSSQL, SAP, Google Big Query, MySQL and more. eRAG also connects via APIs to a number of backend systems, and ecosystems such as Microsoft Dynamics.
What are the benefits of GigaSpaces being IT-friendly and AI-ready?
Being IT-friendly and AI-ready allows GigaSpaces to be quickly and safely integrated into existing IT infrastructures without extensive modifications. This flexibility aids in reducing potential implementation barriers, facilitating its uptake and realizing its benefits faster. Moreover, being AI-ready means GigaSpaces can be promptly deployed to harness the power of AI to generate insights, making informed decisions or power AI applications.
How does GigaSpaces understand and respond to structured data queries?
GigaSpaces employs advanced semantic reasoning to deeply understand and precisely respond to structured data queries that are asked in natural language. It perceives the context and intent of the questions and crafts suitable SQL queries to retrieve the necessary data from the database, thereby providing the user with accurate and understandable responses.
Can you explain the process of GigaSpaces converting natural language queries into SQL?
The process of GigaSpaces converting natural language queries into SQL is driven by its advanced semantic reasoning abilities. These allow it to interpret the context and meaning behind queries posed in human language. It then crafts the appropriate SQL queries to retrieve the required information correctly from the database. This system extends beyond basic query translation, considering the inherent complexity and situational context of natural language.
What sectors is GigaSpaces suitable for?
GigaSpaces is tailored to work across multiple sectors. Its operational versatility extends to varying industries from logistics and pharma to retail and hospitality, among others. GigaSpaces' ability to navigate and make sense of structured data from different sources makes it a valuable tool no matter the sector.
Can GigaSpaces offer anything beyond responding to specific queries?
Beyond simply responding to specific queries, GigaSpaces proactively comes up with next steps, challenges established assumptions, and assists in validating decisions. It is designed to be a versatile AI teammate within an organization, continually driving innovation and growth.
How does GigaSpaces suggest next steps and assist in decision making?
In order to support decision making, GigaSpaces not only provides accurate responses to direct queries, but also proactively suggests next steps based on detected patterns, trends, and anomalies. By continuously analyzing your structured data, it identifies potential opportunities or risks, challenging previously established assumptions and providing valuable insights for strategic decision making.
What industries could GigaSpaces be applied to?
GigaSpaces finds its use in a variety of industries including but not limited to logistics, pharma, education, retail, shipping, energy, and hospitality. This cross-industry compatibility underlines its versatility as an AI solution capable of assimilating and understanding structured data from different domains.
What is the deployment time of GigaSpaces?
The deployment time for GigaSpaces is usually within a 2-3 week timeframe. This rapid, efficient deployment allows organizations to quickly start leveraging AI-powered insights in their decision-making processes.
What measurable business impact can GigaSpaces bring?
GigaSpaces delivers measurable business impact by finding new revenue sources, reducing costs, and accelerating business cycles. It provides full visibility into business operations and gives actionable insights to steer strategic and operational decisions towards business growth.
How does GigaSpaces contribute to finding new revenue sources?
Through its ability to analyze structured data for patterns and trends, GigaSpaces can uncover hidden opportunities for revenue generation. This could include identifying underserved customer segments, revenue leakage points, or potential new product or service lines.
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