QueryPal
![QueryPal](/_next/image?url=https%3A%2F%2Fjt1nbf6nkmxvv680.public.blob.vercel-storage.com%2F%25D0%25A1%25D0%25BD%25D0%25B8%25D0%25BC%25D0%25BE%25D0%25BA%2520%25D1%258D%25D0%25BA%25D1%2580%25D0%25B0%25D0%25BD%25D0%25B0%25202024-06-26%2520%25D0%25B2%25202.42.54%25E2%2580%25AFPM-kfT26U2xMqTJklP4yskg18g5K2ZxVM.png&w=828&q=75)
Streamline Slack with Smart AI Answers
Automatically answers Slack queries using company data, boosting team productivity and efficiency.
Desktop, Mobile
Overview
QueryPal transforms team productivity by seamlessly integrating with Slack and other platforms like Google Drive and Notion. This AI-powered assistant provides instant answers to repetitive questions directly in Slack, significantly reducing search time. It’s designed to understand complex queries, ensuring relevant and accurate responses, making information easy to access and manage. With QueryPal, teams can focus on higher-priority tasks instead of sifting through endless data. The tool's integration capability and smart analytics enhance knowledge management, streamline workflows, and increase efficiency without compromising privacy and security. Try it for a transformative team experience.
Use cases
- Immediate Information Retrieval: Integrated into Slack, QueryPal tackles the issue of dispersed organizational data. By automatically responding to common queries, it reduces the time employees spend digging through files, which is particularly valuable during urgent tasks.
- Efficient Task Coordination: For teams utilizing Jira and Confluence, QueryPal connects these tools to provide swift updates on project progress and deadlines, without the need to switch interfaces. This functionality is ideal for project leaders managing multiple assignments.
- Robust Data Security: With strong security measures, QueryPal protects confidential information while ensuring it remains accessible for internal use. This aspect is essential for businesses in sectors like finance and healthcare, where data protection is critical.
- Adaptive Learning: QueryPal adapiles from user interactions, continuously refining its knowledge base. This feature is critical for businesses in dynamic sectors, helping the tool stay relevant as organizational needs and data evolve.
FAQ
What is QueryPal?
QueryPal is an AI chat assistant for Slack that auto-answers questions using data from tools like Google Drive, Notion, and more.
What are the key benefits of using QueryPal?
Key benefits include increased productivity, streamlined knowledge management, and improved team efficiency.
What platforms does QueryPal integrate with?
QueryPal integrates with Google Drive, Notion, Jira, Confluence, and Slack.
Who is the CEO of QueryPal?
Dev Nag is the CEO of QueryPal.
How much funding has QueryPal raised?
QueryPal has raised a total of $5.2 million in funding.
What is the pricing model of QueryPal?
QueryPal offers a free trial followed by a subscription at $8 per user per month.
Is QueryPal secure?
Yes, QueryPal emphasizes privacy and security to ensure that sensitive company information remains secure.
How can I install QueryPal?
You can install QueryPal by adding it to your Slack team via their website, https://www.querypal.com.
What makes QueryPal unique?
QueryPal specializes in auto-answering within Slack using advanced AI, without requiring users to change their behavior or how they ask questions.
Pricing & discounts
QueryPal offers a pricing model that caters to different team sizes and usage needs, ensuring flexibility for various business environments. Here's a detailed comparison of the subscription plans available:
- Up to 75 users
- Integration with websites
- Integration with files
- Unlimited connections to various platforms
- Over 75 users
- Integration with websites
- Integration with files
- Unlimited connections
- Tailored solutions for large teams
This structure allows businesses to select the option that best fits their needs, whether they are a smaller team or a large enterprise looking for extensive integration and customization options.
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Team
The team behind QueryPal is led by Dev Nag, a seasoned tech founder with a deep background in both the corporate and startup spheres. With a rich career spanning over 25 years, Dev has a notable track record of success, including a prior role as Founder/CTO at Wavefront, which was acquired by VMware, and as an early engineer at both PayPal and Google. His expertise in machine learning has earned him more than a dozen patents and numerous academic publications.
At QueryPal, Dev applies his extensive experience in AI and machine learning to enhance team performance through innovative technology solutions. This commitment to leveraging AI for practical business solutions is evident in QueryPal’s functionality, which simplifies team communication and data management in corporate settings. The tool integrates seamlessly with major platforms like Slack, Notion, and Google Drive, streamlining access to information and significantly improving operational efficiency. Dev’s vision for QueryPal is driven by his passion for transforming team dynamics using the latest AI advancements.
![person](/_next/image?url=https%3A%2F%2Fjt1nbf6nkmxvv680.public.blob.vercel-storage.com%2FDev%2520Nag%2520Founder%2520%3A%2520CEO%2520-Y3EP3pXlAvuZY0yi1Jk9qPU9AyWwOA.jpeg&w=256&q=75)
Dev Nag
Founder / CEO
Funding
QueryPal has successfully raised a total of $5.2 million through two funding rounds. The most recent round was a Seed round on December 15, 2022, which brought in $5.2 million from several investors including notable names like Engineering Capital and Sequoia Capital, both of whom led this round. The initial funding round occurred on July 19, 2021. The company is supported by a diverse group of seven investors, including Webb Investment Network and Lightspeed, enhancing its financial stability and backing its innovative approach in AI-driven communication solutions.
![Markus Ivakha](/_next/image?url=https%3A%2F%2Fjt1nbf6nkmxvv680.public.blob.vercel-storage.com%2F85f143d0-e542-462d-a74d-06b974c77b48-AFYUSWcqBh6RiIYJ2lI2Kbu7C6URSm.jpg&w=3840&q=75)
Published by: Markus Ivakha
06 July 2024, 09:56AM