Show HN: Querio.ai – Analytics You Can Chat With

Querio.ai is a business intelligence platform that lets you access data insights through plain English queries. No SQL skills or waiting for reports - just ask questions and get instant visual answers. It connects securely to data warehouses like Snowflake, BigQuery, and Postgres without duplicating data.

Key Features:

• Natural Language Queries: Ask questions like, “What’s our monthly revenue?” and get immediate, visual results.

• Custom Dashboards: Drag-and-drop to track metrics like revenue, churn, or campaign performance.

• Direct Database Connections: Secure, read-only access to your existing data without duplication.

• Automated Reporting: Scheduled insights delivered to your team, reducing manual work.

• Enterprise-Grade Security: SOC 2 Type II compliance and 99.9% uptime SLA.

Querio.ai simplifies data access for teams across finance, marketing, and product management, cutting delays and enabling faster, informed decisions.

Building an AI Assistant for BI: The Good, the Bad, and the Ugly

Core Features and Capabilities of Querio.ai

Querio.ai stands out by turning complex data into simple, conversational insights. By blending advanced AI with enterprise-level security, it offers analytics that are accessible to everyone, regardless of technical expertise.

Here’s how Querio.ai delivers quick and dependable insights through its user-friendly, conversational approach:

Natural Language Queries and Instant Results

Querio.ai’s natural language processing engine allows users to bypass delays and get answers instantly. Imagine asking questions like, “What’s our customer acquisition cost over the last three months?” or “Show me the revenue breakdown by product category,” and receiving immediate, visual responses.

The platform ensures accuracy by leveraging a governance layer that defines table relationships, business metrics, and terminology. This means every query is mapped to the correct database tables, generating optimized SQL queries that run directly against your data warehouse. Within seconds, the results appear as interactive charts and visualizations, ready for exploration.

Drag-and-Drop Dashboards and KPI Tracking

Querio.ai makes it easy for teams to monitor performance with customizable dashboards. Users can simply drag and drop visualizations to track key metrics in real time. Whether it’s finance teams keeping an eye on revenue, product teams analyzing user engagement, or marketing teams assessing campaign success, each dashboard can be tailored to meet specific needs.

Automated scheduled reports ensure stakeholders stay informed without the hassle of manually checking dashboards. Plus, dashboards can be shared freely across teams without additional licensing, encouraging a culture of data-driven decisions throughout the organization.

Database Connections and Security Features

Querio.ai connects directly to major data warehouses, eliminating the need for data duplication or migration. Your data stays securely in its original location, accessed through read-only, encrypted connections.

The platform adheres to SOC 2 Type II compliance, meeting stringent enterprise security standards. With read-only permissions, Querio.ai ensures your data is safe from any modifications or deletions. Additionally, a 99.9% uptime SLA guarantees that your analytics workflows remain available when you need them most.

These features make Querio.ai a powerful tool for turning raw data into actionable insights, empowering teams across the board to make informed decisions quickly and securely.

Practical Use Cases for U.S. Teams

Querio.ai is reshaping how U.S. companies approach their analytics workflows. From cutting-edge startups in Silicon Valley to established enterprises in financial hubs, teams across various industries are simplifying their decision-making with conversational analytics. Here’s a closer look at how Querio.ai is delivering instant insights to businesses across the U.S.

Real-Time KPI Tracking and Reporting

Finance teams in the U.S. are using Querio.ai to track key metrics without waiting for traditional reporting cycles. Instead of manually extracting data, they can ask straightforward questions like, "What's our monthly recurring revenue for Q4?" and instantly receive results formatted in U.S. dollars. Similarly, sales teams can ask, "What are the conversion rates by region this quarter?" and get quick, visual insights. Product teams also benefit by monitoring real-time user engagement; for example, questions about daily active users or feature adoption rates generate clear, actionable charts in seconds.

This capability isn’t limited to just finance or sales. Marketing teams can easily track campaign performance, customer success teams can monitor churn rates, and executives can maintain a high-level view of the company’s health - all through simple conversational queries.

Chat-Based SQL Generation

Querio.ai goes beyond basic metric tracking by enabling teams to generate complex SQL queries through an easy-to-use chat interface. Instead of spending hours writing and debugging code, data analysts can describe their needs in plain language and get the queries they need in moments. This feature allows business intelligence teams to make data accessible across the organization while upholding strict data governance and security protocols.

The productivity gains are undeniable for U.S. teams.

"What used to be weeks, now takes minutes!" - Jennifer Leidich, Co-Founder & CEO [1]

Automated Reporting and Operational Dashboards

Querio.ai also automates essential reports, keeping U.S. executives informed in real time. Leaders receive weekly dashboards with up-to-date metrics like revenue growth, customer acquisition costs, and operational efficiency - eliminating the need for manual report preparation. Operations teams can create dashboards to track real-time performance across business units, displaying key metrics such as overall revenue, customer data, and growth percentages.

This automation allows finance teams to shift their focus to analyzing trends and providing strategic recommendations. Meanwhile, shared dashboards foster collaboration among cross-functional teams by offering a unified view of performance, ensuring everyone has access to the same insights.

These changes lead to measurable business advantages. Teams can now make quicker, better-informed decisions using real-time data, eliminating reliance on outdated reports or guesswork.

Benefits and Considerations for Querio.ai

For U.S. businesses exploring conversational analytics, understanding both the advantages and challenges of Querio.ai is crucial. This platform simplifies how teams interact with data, but its successful adoption hinges on thoughtful planning and alignment with organizational needs.

Key Benefits of Querio.ai

Querio.ai's standout feature is its natural language querying, which allows team members to instantly access insights - like customer acquisition costs or revenue trends - without needing to know SQL. This levels the playing field, making data analysis accessible to everyone. Plus, its unlimited viewer feature reduces costs by allowing unrestricted access for entire teams.

Scalability is baked into the platform's design. By directly connecting to databases like Snowflake, BigQuery, and Postgres, Querio.ai handles massive datasets without duplicating data, ensuring smooth performance as businesses expand. It also meets enterprise-level security and reliability standards, which is a big deal for growing organizations.

Another highlight is real-time functionality. Automated dashboards and up-to-date metrics keep teams informed without the delays of traditional reporting cycles, ensuring decisions are always based on the latest data.

Implementation Considerations

While Querio.ai offers clear benefits, realizing its full potential requires addressing several key factors during implementation.

Data quality is a critical starting point. If your data is messy or incomplete, even the best conversational analytics tools will struggle. Organizations should evaluate their current data infrastructure for accessibility, scalability, and security before diving in.

"If data is noisy or incomplete, focus on cleaning the most reliable datasets." – Ankur Patel

Training and change management are equally important. Teams used to traditional reporting may need guidance on how to phrase questions and interpret results effectively. Tailored training sessions, focusing on real-world challenges unique to each department, can smooth the transition and accelerate adoption.

Data preparation is another area that demands attention. Tasks like collecting, cleaning, and validating data can be resource-intensive. Allocating adequate time and engineering support during this phase ensures the system delivers accurate and reliable insights.

Security and compliance also come into play, especially with conversational interfaces. While Querio.ai includes encryption and role-based access controls to address these concerns, organizations must establish clear AI usage policies to safeguard sensitive data.

"Most organizations are realizing that they should have a policy in place for AI adoption, because, otherwise, there's a risk of customer data or confidential data being put into the public tooling." – Ken Priore, ex-Director of Privacy, Atlassian

Testing and refining the system is an ongoing process. To avoid user frustration, businesses should rigorously test conversational flows, intent recognition, and response accuracy under various scenarios. Regular updates based on user feedback will keep the system relevant and useful.

Finally, implementing Querio.ai requires collaboration across IT, compliance, legal, and business leadership from the very beginning. Engaging key stakeholders early and focusing on data quality sets the stage for success. With proper planning, Querio.ai can revolutionize how U.S. teams access and use data for smarter decision-making.

Getting Started with Querio.ai

Looking to change the way your team interacts with data? Here’s everything you need to know about setup, pricing, and support to make the most of your analytics.

Connecting Your Data and Setting Up Dashboards

Getting started with Querio.ai is straightforward. The platform connects directly to your existing data sources, supporting major databases like Snowflake, BigQuery, and Postgres. These secure, live connections mean no waiting around for data preparation - your team gets real-time access to analytics right away.

Building dashboards is a breeze with Querio’s drag-and-drop interface. You can create visualizations tailored to U.S. business standards, such as dollar formatting for financial data, standard date formats (MM/DD/YYYY), and imperial measurements. The system also ensures clean number formatting, with commas for thousands and precise decimal points.

Querio’s context layer is a standout feature for long-term use. Your data team can define table relationships, key metrics, and glossary terms once, creating a shared framework for everyone. This setup allows users to ask questions like, “What’s our customer acquisition cost this quarter?” and get accurate results without worrying about the technical details - Querio handles it all based on your business definitions.

Once your dashboards are set, you can explore pricing options designed to grow with your needs.

Pricing and Subscription Options

Querio.ai’s pricing is built to scale and is billed annually in U.S. dollars. To help you get started, the platform includes a mandatory 1-month free guided pilot, ensuring you see its value before committing to a subscription.

Here’s a breakdown of the costs:

• The Core Platform starts at $14,000 per year, covering one production database connection, 4,000 prompts per month, and unlimited viewer users. This plan delivers essential conversational analytics for your entire team without charging per viewer.

• The Dashboards Add-On is available for $6,000 per year, ideal for teams needing advanced visualization tools.

• Additional database connections are $4,000 per year each.

• For data pipeline capabilities, you can add the Data-Pipelines Subscription for $10,000 per year, supporting up to three pipelines.

If your team already uses dashboards on another platform, the Dashboard Parity Pack offers a one-time migration service for $6,000, making it easy to transition without starting from scratch.

For organizations requiring complete control over their analytics environment, self-hosted deployment is available. This option comes with a 50% increase in recurring fees and requires a minimum annual commitment of $60,000.

Prefer monthly billing? It’s an option, though it includes a 10% price increase and requires a year-long commitment. This flexibility can help organizations manage cash flow while still leveraging Querio’s features.

Support and Access for U.S. Teams

Querio.ai ensures U.S.-based teams have the support they need to succeed. The platform offers detailed documentation to address common questions and use cases, making it easy to find quick answers.

For more personalized help, teams can reach out via email to connect directly with Querio’s technical experts. The platform also provides customized demos, which are especially helpful for teams evaluating how Querio fits their analytics goals.

The onboarding process includes a guided pilot period where Querio’s team works closely with your organization. This hands-on approach ensures smooth setup, effective user adoption, and guidance on crafting natural language queries and interpreting results.

For distributed teams, Querio.ai’s web-based interface offers consistent access across locations and time zones. With a 99.9% uptime SLA and SOC 2 Type II compliance, the platform delivers the reliability and security that U.S. businesses demand.

From setup to execution, Querio.ai provides a seamless experience. Booking a demo or starting the free pilot is all it takes to explore how conversational analytics can transform your team’s approach to data. This risk-free introduction ensures Querio aligns with your organization’s analytics needs before you commit.

Conclusion: Transforming Analytics with Querio.ai

Querio.ai is changing the landscape of data analytics in the U.S., turning processes that once took weeks into quick, conversational solutions that take just minutes. By making data more accessible, it empowers businesses to act faster and smarter.

With direct connections to Snowflake, BigQuery, and Postgres, users can access live, accurate data without needing ETL processes or data duplication. The platform also offers enterprise-grade security and reliability, ensuring it grows alongside your data needs.

The results speak for themselves. Midwest Precision Manufacturing slashed analysis time and saved $45,000 annually. A financial services company similarly reduced costs by enabling non-technical teams to access insights directly. Meanwhile, a Northeast grocery retailer streamlined resource allocation with real-time inventory tracking. These examples show how turning analytics into simple conversations can lead to tangible business improvements.

"What used to be weeks, now takes minutes!" - Jennifer Leidich, Co-Founder & CEO

Key Takeaways

Querio.ai combines speed, security, and ease of use to tackle some of the biggest challenges U.S. businesses face today: accessibility, efficiency, and cost savings. By allowing users to interact with data in plain English, it eliminates the technical barriers that once restricted access to specialized teams. The result? Faster decisions and less dependence on technical resources.

The platform’s context layer ensures consistent governance of business definitions, metrics, and relationships across an organization. Whether it’s a SaaS company tracking customer acquisition costs, a fintech firm monitoring transaction volumes, or an e-commerce business analyzing conversion rates, this consistency is invaluable.

"The team is a lot more self-sufficient" - Moe, CTO

Querio.ai’s natural language interface and secure, live data connections are redefining business intelligence. It’s paving the way for a future where asking questions about your data feels as effortless as having a casual conversation.

FAQs

How does Querio.ai protect sensitive data and meet enterprise security standards?

Querio.ai places a strong emphasis on data security, adhering to strict enterprise standards. The platform holds a SOC 2 Type II certification, which confirms its strong controls in areas like security, availability, and confidentiality. On top of that, Querio.ai operates under ISO27001-based security protocols to effectively manage incidents.

To protect sensitive information, Querio.ai integrates features like encryption, role-based access control (RBAC), and compliance automation. These tools ensure the platform meets rigorous security requirements, making it a dependable option for U.S. organizations managing critical data.

How can my team set up Querio.ai with our existing data systems?

To get Querio.ai up and running with your existing data systems, start by checking that it aligns with your current data formats, storage setups, and workflows. The good news? Querio.ai works effortlessly with popular databases and data warehouses like BigQuery and Redshift, making the process of connecting your data sources simple and hassle-free.

To maximize performance, ensure your data is well-organized and properly maintained. Clean, structured data enables Querio.ai to provide precise insights and visualizations, streamlining your analytics process and making it more intuitive.

How does Querio.ai help non-technical team members make better decisions?

Querio.ai makes it possible for non-technical team members to work with data using plain English, thanks to Natural Language Processing (NLP). This allows users to ask questions, dive into data, and uncover insights without needing coding skills or technical know-how.

By streamlining access to analytics, Querio.ai accelerates data exploration, enhances decision-making precision, and ensures insights are available to everyone, no matter their technical expertise. This empowers teams to make fast, confident decisions based on real-time data.

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