Let’s Work Together



Querybutler utkarsh shukla

Is Your Data Stuck in the Dark Ages? QueryButler™ Brings the GenAI Sunshine (and Donuts)

In the fast-paced world of data-driven decision-making, businesses are constantly seeking innovative solutions to streamline their processes and enhance efficiency. Enter QueryButler™ – a Secure, People-free Alternative for your Data Warehouse Needs, a Conversational Data Library that is poised to revolutionize the industry. In this blog, we’ll explore why you should consider adopting QueryButler™ and how it’s set to transform the way businesses interact with their data.

Why QueryButler™?

1. Effortless Scalability:

QueryButler™ introduces the concept of SMEs as Code – perpetual, immune to holidays, burnout, and salary negotiations. This means that your data workforce scales effortlessly as your business needs expand, eliminating the need for constant management and recruitment efforts.

2. Validation Mechanisms:

To address concerns about the system hallucinating, QueryButler™ employs three built-in processes that consistently validate the high fidelity of its responses. This ensures the reliability and accuracy of the information provided, akin to the robustness of a flight control system.

3. Comprehensive Learning Solution:

Unlike traditional systems that may store only metadata, QueryButler™ is a learning solution that stores everything inside your system. It builds a comprehensive mapping of past queries, effectively serving as a subject matter expert in code.

4. Secure Integration:

QueryButler™ integrates seamlessly into your existing infrastructure via Okta or cloud-native IAM, residing in your data center or cloud. It ensures that your data stays within your network, with only encrypted metadata driving advanced features.

FAQs about QueryButler™

i) Hallucination:

No, QueryButler™ doesn’t hallucinate. It employs three validation processes to ensure high-fidelity responses.

ii) LLM Wrapper:

No, it’s a composite AI, combining multiple narrow AI solutions for a generalized AI feel. LLMs are utilized for specific tasks like translation and voice-to-text.

iii) Data Security:

No data leaves your network. QueryButler™, residing in your data center or cloud, integrates securely via Okta or cloud-native IAM.

iv) Stored Information:

Metadata is stored outside your system for performance. Inside your system, QueryButler™ stores everything, acting as a learning solution with a comprehensive mapping of past queries.

v) Set-up Requirements:

QueryButler™ requires EC2 or any Linux compute layer, a relational database like Aurora, a caching layer, and any Git source control. Grant read access, and it runs under a service account.

vi) Client Integration:

Three out-of-the-box clients – IoS iPhone/iPad app, React web app, and a Slack app. Customization options available, including Microsoft Teams integration in the near future.

vii) RPA Comparison:

No, QueryButler™ orchestrates various workflows internally and externally but is not shadow IT. The integration architecture is loosely coupled via message queues, not tightly coupled via direct plugins.

viii) LLM Grounding:

A vector DB stores metadata, designed for enterprise data, eliminating the need for a separate graph.

Accelerate Time to Delivery with QueryButler™

Querybutler utkarsh shukla

Imagine a scenario where you can directly and conversationally query your data without the need for an SME to generate a report. QueryButler™ accelerates time to delivery from weeks and months to now, fetching the information you need in near-real time.

Enterprise-ready Ecosystem

QueryButler™ seamlessly integrates across major data stores, including Snowflake, AWS RDS, MongoDB, GraphQL, and more. It ensures none of your data leaves your systems, hosting QueryButler™ in your cloud or on-premises.

Embrace the GenAI Revolution with QueryButler™

As businesses globally embrace the GenAI revolution, QueryButler™ stands as a key player in driving down ancillary data cost centers. With a projected GenAI spend of $143 billion by 2027, now is the time to integrate QueryButler™ into your data workflow.

Seamless Integration with Communication Platforms

One of the standout features of QueryButler™ is its seamless integration with popular communication platforms like Slack and the upcoming addition of Microsoft Teams. This integration is designed to enhance user experience and foster a collaborative environment by bringing data access directly into the channels where your teams already communicate.

1. Slack Integration:

QueryButler™ offers a dedicated Slack app, enabling users to query data, generate reports, and gather insights without leaving the Slack workspace. The integration allows for smooth interactions, utilizing incoming webhooks and custom slash commands. This means your team can effortlessly access data and initiate conversations with QueryButler™ right within the Slack interface.

2. Microsoft Teams Integration:

Recognizing the diverse communication needs of businesses, QueryButler™ is committed to expanding its integration capabilities. In the near future, Microsoft Teams users will also benefit from QueryButler™ integration. This addition further broadens the accessibility and convenience of QueryButler™, ensuring it aligns with the communication preferences of your organization.

Accelerate Collaboration and Decision-Making

By integrating QueryButler™ with Slack and, soon, Microsoft Teams, businesses can accelerate collaboration and decision-making processes. Here’s how:

a. Real-Time Collaboration:

Team members can collaborate in real-time within their preferred communication platform. Discussing data, sharing insights, and making decisions becomes a seamless part of the conversation.

b. Efficient Communication:

No need to switch between applications. With QueryButler™ integrated into Slack and Teams, your teams can efficiently communicate and access data within the same environment, reducing friction in the workflow.

c. Immediate Access to Insights:

Whether you’re in a Slack channel or a Teams chat, querying data becomes as simple as asking a question. QueryButler™ responds promptly, providing immediate access to relevant insights without the need for additional tools or interfaces.

d. Customization Options:

Tailor the integration to suit your team’s needs. QueryButler™ offers customization options, ensuring that the integration aligns with your specific requirements and enhances the overall user experience.

Embracing the Future of Data Collaboration

As businesses increasingly rely on collaboration tools like Slack and Microsoft Teams to streamline communication, QueryButler™ ensures that data access is an integral part of these platforms. The integration of QueryButler™ with these communication tools represents a step forward in embracing the future of data collaboration. It transforms the way teams interact with and leverage data, fostering a more connected and efficient work environment.

In conclusion, by seamlessly integrating QueryButler™ with Slack and soon Microsoft Teams, businesses can empower their teams to make data-driven decisions in the communication platforms they already use daily. This integration marks a significant stride towards creating a unified and productive ecosystem where data access aligns effortlessly with collaborative workflows.


QueryButler™ is not just a tool; it’s a transformative force in the data industry. By providing a secure, people-free alternative for data warehouse needs, QueryButler™ empowers businesses to focus on what matters – making informed decisions, driving value, and staying ahead of the curve in the rapidly evolving landscape of GenAI. Don’t be the last to embrace the AI revolution; let QueryButler™ be your guide to a more efficient and productive future.

Checkout my Interviews at “Professionals Unplugged”

Still Curious? Visit my website to know more!

For more interesting Blogs Visit- Utkarsh Shukla Author

Querybutler utkarsh shukla

Disrupting the Tech World: Product Owner at NerdyBio, Python Powerhouse, AWS Ace & Prolific Tech Blogger 💻💥