Querio Brings Natural-Language Chat to Every Major Data Platform
Business Intelligence
Aug 11, 2025
Unlock data insights with natural-language queries across major platforms, empowering teams to analyze and act on live data instantly.
Querio simplifies data access for non-technical users by enabling natural-language queries across platforms like Snowflake, BigQuery, and Postgres. Instead of waiting on SQL queries or technical teams, users can ask questions in plain English and get instant, visual insights from live data. This reduces delays, improves decision-making, and streamlines workflows across departments like finance, product, sales, and operations.
Key Features:
Natural-Language Queries: Ask questions like "What was our revenue last quarter?" and get real-time answers.
Governed Data Layer: Ensures consistent metrics and definitions across teams.
Secure Connections: Read-only, encrypted access to live data with SOC 2 Type II compliance.
Visual Insights: Automatic charts and dashboards for easy interpretation.
Pricing: Starts at $14,000/year with options for add-ons and flexible deployment (cloud or self-hosted).
Querio empowers teams to access and analyze data independently, saving time and reducing reliance on technical expertise.
Natural Language Data Querying- Big Query Data QnA
How Querio Integrates with Major Data Platforms
Querio seamlessly connects to your existing data infrastructure in real time. By linking directly to your data warehouse, it eliminates the need for exports or duplicate datasets, maintaining accuracy and security throughout.
Live Connections to Snowflake, BigQuery, and Postgres
Querio establishes read-only, encrypted connections with leading data warehouses like Snowflake, BigQuery, and Postgres. Using robust security protocols like AES-256 encryption and HTTPS/TLS 1.3, it ensures your data is protected both at rest and in transit.
With Querio, plain-English queries are processed directly within your data warehouse, delivering real-time insights without duplicating or delaying data. This means your teams can act on the latest trends immediately, avoiding the lag of scheduled reports or manual data retrieval.
Existing security measures, such as row-level security and column masking, remain fully intact. For instance, if your finance team is restricted from accessing specific customer data or if regional managers can only view information related to their territories, those controls are respected and enforced.
Security Feature | Details |
|---|---|
Direct data warehouse connection | Read-only, encrypted |
Built-in access controls | Granular permissions |
SOC 2 Type II compliance | Certified |
These secure, direct connections ensure consistent, governed analytics across your organization.
The Governed Context Layer: Defining Metrics and Glossaries
A standout feature of Querio is its governed context layer, which allows data teams to define key business metrics, map table relationships, and create a unified glossary. This ensures that everyone in your organization operates with the same understanding and terminology.
By standardizing metrics and definitions, Querio ensures consistency across all queries, whether they’re from the finance department or product development team. Once defined, these metrics serve as the single source of truth for the entire organization.
The governance layer also integrates role-based access control, following the principle of least privilege. This means granular permissions can be set, from database-wide access down to specific tables or columns. Querio tracks every query, dashboard creation, and data access event with detailed audit trails. Additionally, it includes version control for metric definitions and business rules, allowing you to monitor changes or revert to previous versions when needed. This keeps your data definitions accurate and aligned as your business evolves.
Future Extensibility: Python Notebooks for Advanced Analysis
Querio is expanding its capabilities with the upcoming addition of Python notebooks for advanced analytics. These notebooks will support tasks like statistical modeling and machine learning, all within the governed data environment.
Operating on the same live data connections and adhering to established governance rules, these notebooks ensure advanced analyses remain consistent with your organization's data policies and definitions. Whether you're running complex Python scripts or performing natural-language queries, Querio keeps everything centralized, secure, and compliant with your data access policies and regulatory requirements.
This upcoming feature reinforces Querio’s commitment to providing a secure, unified platform for both everyday insights and advanced analytical workflows.
Setting Up Conversational Analytics with Querio
Get started with Querio in just one day by following these four straightforward steps to begin querying your data with ease.
Step 1: Connect Your Data Warehouse
Start by linking Querio directly to your data warehouse using secure, read-only credentials. Simply input your access details, and your organization's existing security measures stay intact. Once connected, define the data context to ensure your insights are clear and consistent.
Step 2: Define Context for Clear Results
Use Querio's context layer to establish a shared understanding of your data. Your data team can set up business logic, define metrics, and create a standardized glossary of terms. This ensures that everyone interprets plain-English queries the same way. By mapping table relationships and defining key metrics, you create a foundation for accurate and reliable insights.
Step 3: Ask Questions in Everyday Language
Once the connections and context are ready, users can immediately start querying data in plain English. Querio's AI translates these questions into real-time queries that run directly against your live data. For instance, you could ask, "Who are our top 10 customers by revenue this quarter?" or "What was the email campaign conversion rate last month?" Over time, the system learns your organization's specific terminology, making it even smarter.
Step 4: Turn Insights into Action
Querio doesn't just deliver results - it transforms them into actionable insights. The platform automatically generates visualizations like line charts for trends or bar charts for comparisons, which you can tweak with drag-and-drop tools. You can also schedule reports or combine visuals into dashboards, all while maintaining strict security and governance. This process makes it easier for teams across finance, sales, product, and operations to access data and make faster, more informed decisions.
Use Cases for Querio in U.S. Teams
Querio’s natural-language interface allows departments to access and analyze data directly, empowering teams to make informed decisions without relying on complex tools or IT support. Here’s how different U.S.-based teams are using conversational analytics to address their specific needs and streamline their workflows.
By building on a unified context layer, these examples show how natural-language querying is making data accessible across the board.
Finance: Simplifying Budget and Cash Flow Analysis
Finance teams rely on Querio to track key metrics without waiting for IT or navigating complicated queries. CFOs and analysts can ask straightforward questions like, “What’s our cash burn rate over the last six months?” or “Show me budget variance by department this quarter,” and immediately receive results formatted in USD.
Querio is especially helpful for monitoring financial metrics like gross margins across product lines, enabling teams to pinpoint which offerings are driving profitability. For board meetings or investor calls, finance leaders can quickly pull cash flow trends, revenue forecasts, and expense breakdowns - automatically formatted with proper dollar signs, commas, and other U.S. accounting standards, saving time on report preparation.
Monthly close processes also speed up significantly. For example, finance teams can ask, “Which customers have invoices over $10,000 past due by more than 60 days?” and instantly access actionable data. This capability enhances collections efforts and improves cash flow management.
Product: Tracking Activation and Retention
Product teams also benefit from Querio’s ability to eliminate technical roadblocks. Product managers use the platform to monitor user engagement and feature adoption in real time. They can ask questions like, “How many users completed each step of the new onboarding process this week?” and adjust strategies based on immediate insights.
A/B testing becomes much easier. Product managers can ask, “What’s the conversion rate difference between our two checkout flows?” and quickly decide which version to roll out. This instant feedback allows teams to iterate faster and deliver better products.
Retention analysis - often a time-consuming task - becomes accessible with questions like, “Show me user retention rates by signup cohort over the last three months.” This helps product teams identify which features keep users engaged long-term, allowing them to focus development on what matters most. Querio also standardizes metric definitions across roles, ensuring alignment between product managers, engineers, and designers when discussing user behavior and feature success.
Sales and Marketing: Monitoring Pipeline and Campaign Performance
Sales and marketing teams use Querio to keep tabs on pipeline health and campaign performance, even when working across multiple U.S. time zones. Scheduled reports can be sent at optimal times for different regions, keeping everyone aligned on critical metrics.
For sales teams, pipeline analysis becomes as simple as asking, “Which deals over $50,000 have been in our pipeline longer than 90 days?” or “What’s our average deal velocity by lead source this quarter?” With this information at their fingertips, sales managers can address bottlenecks and prioritize high-value opportunities without waiting for traditional CRM reports.
Marketing teams, on the other hand, track campaign performance with questions like, “What’s the cost per acquisition for our LinkedIn campaigns versus Google Ads this month?” Querio automatically calculates key metrics like customer acquisition cost, lifetime value, and return on ad spend, helping marketing managers allocate budgets more effectively.
Operations: Improving Inventory and Service Metrics
Operations teams tap into Querio to analyze inventory, supply chain, and service-level data without manual calculations or delayed reports. For example, managers can ask, “What’s our inventory turnover rate for each product category this quarter?” and quickly identify slow-moving stock.
Supply chain insights are just as accessible. Teams can ask, “Which suppliers have delivery times exceeding our 5-day standard?” or “Show me stockout incidents by product line over the last 30 days.” These insights help operations teams proactively resolve issues before they affect customer satisfaction.
Customer service teams also gain real-time visibility into metrics like, “What’s our average response time by support channel this week?” or “Which product categories generate the most support tickets?” This allows for better resource allocation and improved service quality.
Capacity planning becomes more efficient with Querio’s ability to analyze trends. For instance, managers can ask, “How does our shipping volume in Q4 compare to the same period last year?” and prepare for peak seasons by ensuring adequate staffing and inventory levels. With Querio’s unified access to data, operations teams can make smarter decisions effortlessly.
Querio Pricing, Deployment, and Security for U.S. Businesses
Querio combines secure, live data connections with flexible pricing and deployment options, making it easier for U.S. businesses to plan their investment in conversational analytics. With transparent, all-inclusive pricing, organizations can budget with confidence.
Pricing Overview and Plan Details
Querio's core subscription starts at $14,000 per year, which includes one database connection, 4,000 prompts per month, and unlimited viewer users for natural-language querying. This package is designed to meet the essential analytics needs of most organizations.
For businesses looking to customize their setup, Querio offers a range of add-ons:
Dashboards Add-On: Priced at $6,000 per year, this feature enables drag-and-drop visualizations for tracking KPIs and creating executive reports.
Extra Database Connections: Add additional database connections at $4,000 per database annually.
Data Pipelines Subscription: For $10,000 per year, you can integrate up to three pipelines for enhanced data processing.
Dashboard Parity Pack: A one-time fee of $6,000 allows seamless migration of existing dashboards.
Querio also provides the option for monthly billing with a 10% premium, requiring an annual commitment. This offers flexibility while maintaining predictable costs.
Deployment Models: Cloud or Self-Hosted
Querio supports two deployment options to address different security and compliance needs:
Cloud Deployment: This standard option includes infrastructure management, updates, and maintenance, allowing teams to focus on analytics without worrying about backend operations.
Self-Hosted Deployment: For organizations with stricter data residency or security requirements, this option provides complete control over data. It comes at a 50% premium on recurring fees and requires a minimum annual commitment of $60,000.
Both models are backed by Querio's SOC 2 Type II compliance and a 99.9% uptime SLA, ensuring reliability and robust security. Database connections follow established security protocols, meeting the needs of businesses with varying regulatory requirements.
Planning for Prompts and User Access
The Core Platform includes 4,000 monthly prompts, offering broad access to conversational analytics for teams of all sizes. Unlimited viewer users ensure that insights are easily shared across the organization. For businesses with higher query demands, scalable options are available by contacting Querio directly.
Looking ahead, Querio will introduce Python notebook functionality, enabling advanced users to perform Python-based analysis while maintaining accessible pricing for all customers.
Conclusion: How Querio Democratizes Data for U.S. Businesses
Querio is changing the way American businesses handle data analytics by breaking down the technical walls that often separate teams from the insights they need. Instead of waiting on SQL queries or relying on data teams, a finance manager can simply ask, "How does our cash flow look this quarter?" and get clear, visual insights in seconds.
This instant access to insights doesn’t just save time - it simplifies decision-making across the board. With Querio’s natural-language interface, product managers, sales directors, and operations leaders no longer need to master complex query languages or depend on technical experts. By directly connecting to your data warehouse, the platform lets users ask questions in plain English, whether it’s about marketing campaign results or fine-tuning inventory levels. The result? Faster, smarter decisions across every department.
At the same time, Querio ensures data integrity through governed analytics. Data teams can define key metrics within Querio’s context layer, so everyone in the organization works with consistent and reliable insights.
For U.S. businesses competing in fast-paced markets, Querio’s unlimited viewer access removes the typical licensing barriers. Insights can flow freely to everyone in the organization, from startups to large enterprises, ensuring the platform scales with your team’s needs.
FAQs
How does Querio keep my data secure and ensure compliance when connecting to major data platforms?
Querio takes your data security seriously, adhering to rigorous industry standards like SOC 2 Type II. This certification guarantees that strict controls are implemented to keep sensitive information safe. To further protect your data, the platform relies on secure connection protocols like SSH, ensuring secure transmission at all times.
On top of that, Querio performs regular vendor compliance reviews and enforces strong security practices to meet regulatory obligations. With these measures in place, your data remains secure and compliant, allowing you to concentrate on making well-informed decisions.
How does Querio's natural-language chat make data analysis easier for non-technical teams?
Querio's natural-language chat makes analyzing data straightforward by enabling users to interact with their data in plain English. For instance, a team member might ask, "How much revenue did we generate last month?" and instantly receive easy-to-understand, actionable insights - no technical know-how required.
This tool allows teams across marketing, sales, and operations to dive into data on their own, make quicker decisions, and channel their energy into achieving results. By breaking down barriers to accessing information, Querio ensures that everyone has a role in shaping smarter, data-driven strategies.
Can I use Querio's upcoming Python notebook feature for advanced data analysis while ensuring data governance?
Querio's soon-to-launch Python notebook feature is built to handle advanced data analysis and visualization while prioritizing strong data governance. It offers centralized control and security protocols, ensuring data remains protected and compliant throughout.
With this feature, users can carry out intricate analyses in a secure setup, enabling businesses to dive deep into their data without risking sensitive information.