Querio vs Seek
Business Intelligence
Jun 18, 2025
Explore the differences between two leading AI-driven business intelligence platforms, focusing on integration, pricing, and user experience.

American businesses are shifting from traditional data tools to AI-driven platforms for faster, smarter decisions. Querio and Seek are two leading options, both offering natural language querying, real-time insights, and robust security. But which one is right for you? Here's what you need to know:
Key Takeaways:
Querio: Best for businesses needing seamless integration with major data warehouses (like Snowflake, BigQuery), SOC 2 compliance, and user-friendly dashboards. Pricing starts at $14,000/year.
Seek: Ideal for companies prioritizing AI-driven insights and scalability. Recently acquired by IBM, it integrates into their AI ecosystem for advanced capabilities.
Quick Comparison:
Feature | Querio | Seek |
---|---|---|
Natural Language Queries | Yes | Yes |
Integration | 300+ tools, major data warehouses | Focuses on scalability, IBM ecosystem |
Security | SOC 2 Type II, CCPA, GDPR compliant | Strong encryption, role-based access |
Pricing | Starts at $14,000/year | Scalable, custom quotes available |
Best For | Mid-sized businesses needing quick setup | Large enterprises with complex needs |
Bottom Line: Querio is great for quick deployment and cost-effective solutions, while Seek, with its IBM backing, suits enterprises seeking advanced AI integrations. Choose based on your business size, goals, and existing tech stack.
1. Querio

Querio is an AI-driven business intelligence workspace designed to make data analysis more accessible. By allowing users to ask questions in plain English and delivering clear visual insights in seconds, it removes the traditional barriers between business teams and their data.
Let’s dive into how Querio’s connectivity and features enable real-time, actionable insights.
Data Connectivity
One of Querio’s standout features is its ability to integrate seamlessly with a wide range of data sources. It connects directly to major data warehouses like Snowflake, BigQuery, and PostgreSQL, ensuring access to live data whenever it’s needed. Beyond databases, Querio also supports over 300 non-database tools, such as HubSpot and Segment, enabling unified data access across platforms [1].
This level of connectivity means marketing teams can easily pull customer engagement metrics from tools like HubSpot, while finance teams can retrieve accounting data - all from one central hub. To safeguard security, Querio uses read-only credentials for these connections, ensuring data integrity and protection.
"Querio is the easiest way for marketing teams to analyze data, allowing users to connect and analyze any data with zero technical effort." - SaaSGenius [3]
For businesses considering Querio, it’s a good idea to confirm compatibility with their existing tech stack, as integration options may vary depending on specific tools [2].
AI-Powered Insights
Querio’s AI capabilities set it apart by transforming natural language questions into precise database queries. Users can pose complex business questions in plain English, and the platform’s AI instantly generates accurate answers by directly interacting with the database.
This functionality has proven transformative for many users. Jennifer Leidich, Co-Founder & CEO, shared:
"Querio has revolutionized how we handle data. What used to be a weeks-long process now takes minutes, and our teams feel empowered to make data-driven decisions on their own. The impact on our efficiency and accuracy is unparalleled." [4]
In addition to simplifying queries, the AI automates data analysis, ensures consistent definitions across teams, and enhances compliance efforts, making it a valuable tool for organizations seeking efficiency and accuracy.
Visualization and Dashboards
Querio doesn’t just provide answers - it makes them visually compelling. The platform turns query results into instant visualizations, enabling users to quickly interpret data. Its drag-and-drop dashboard builder makes creating KPI tracking systems or data presentations straightforward, even for non-technical users.
The platform also supports dynamic reporting, with scheduled updates that keep executives informed without extra manual effort. This ensures critical metrics are consistently shared across teams, streamlining communication and decision-making.
Security and Compliance
Security is at the core of Querio’s design. The platform is SOC 2 Type II compliant, ensuring strict controls over security, availability, and confidentiality [5]. Data is encrypted both at rest (using AES-256) and during transit (via HTTPS/TLS 1.3), with regular internal vulnerability assessments to maintain high security standards [5].
Querio uses Amazon Web Services (AWS) for secure cloud hosting and complies with key privacy regulations like CCPA and GDPR [5]. It enforces role-based access controls with minimal permissions and secures connections through methods like SSH tunneling, SSL/TLS, IP whitelisting, and HTTPS [5]. The company is also working toward additional certifications, including ISO 27001 and ISO 9001 [5].
Pricing
Querio offers flexible pricing tailored to different business needs, charging only for active users rather than data volume or query frequency [1].
Free plan: Includes 25 monthly prompts, 1 user seat, and 2 data sources - ideal for testing the platform [3].
Team plan: Costs $40 per seat per month, offering unlimited prompts, up to 50 seats, unlimited data sources, and data refresh capabilities [3].
Enterprise plan: Starts at $14,000 annually, covering 1 database, 4,000 monthly prompts, and unlimited viewer users. Add-ons include dashboards for $6,000 annually, extra database connections at $4,000 per year, and self-hosted deployments at a 50% premium on recurring fees.
Querio’s pricing structure ensures businesses of all sizes can leverage its tools without unnecessary costs, making it a scalable solution for data-driven decision-making.
2. Seek

Seek is a business intelligence platform powered by AI, designed to make complex data analysis accessible to non-technical users. By using natural language processing, it transforms intricate data queries into straightforward insights.
AI-Powered Insights
Seek excels at converting natural language questions into actionable insights, making it a valuable tool for various business functions. One notable example is its successful implementation at Storelli, a sports equipment company, in May 2025. Storelli used Seek to streamline operations and enhance marketing strategies. The platform automated product bundling decisions, generated data-driven product recommendations, and analyzed historical sales trends to guide marketing efforts.
Tyler Stelter, Storelli's COO, shared how Seek improved their workflow:
"Seek saves us hours of manual work by instantly surfacing the right product bundles based on our sales data. It gets us 80% of the way there and backs up our instincts with data." [6]
This example highlights how Seek not only reduces the time spent on manual data analysis but also provides a solid data-driven foundation for strategic decision-making. While its insights are a key strength, Seek also prioritizes robust security measures to ensure reliability.
Security and Compliance
Data security is a cornerstone of Seek's platform, with multiple layers of protection in place to safeguard sensitive business information. These include encryption protocols, access management systems, and incident response procedures that align with industry standards.
For businesses in the United States, Seek's security framework is designed to meet a wide range of compliance requirements across industries. Features like role-based access controls, risk assessment protocols, and vulnerability management processes help organizations adhere to overlapping federal and state privacy regulations. Seek also employs proactive monitoring to ensure ongoing compliance, making it a dependable choice for businesses navigating complex data protection needs.
Pricing
Seek’s pricing model is built with scalability and transparency in mind, making it accessible to organizations of all sizes. The platform offers three tiers tailored to different needs:
Starter: Ideal for individual projects.
Professional: Designed for growing businesses.
Enterprise: Suited for large-scale operations.
Seek’s pricing approach is straightforward, with no hidden fees and options for monthly or annual subscriptions. The usage-based model ensures businesses only pay for what they need, allowing them to scale their investment as they grow. For customized pricing details, businesses can reach out to Seek's sales team for a tailored quote.
Pros and Cons
When weighing AI-powered business intelligence tools, it’s important to take a close look at Querio’s proven strengths and limitations. This will help you decide if it aligns with your organization’s data needs, goals, and budget.
Querio
Key Advantages | Main Disadvantages |
---|---|
• Easy-to-use natural-language querying for all skill levels | • Higher starting cost at $14,000/year for the core platform |
These points highlight Querio’s balance of strengths and limitations, particularly in terms of cost, integration, and scalability.
Cost-effectiveness is a standout feature, especially for U.S. businesses. Starting at $14,000 annually, Querio is well-suited to organizations with significant data analysis needs. Its unlimited viewer access model is a major advantage for companies where many employees rely on insights but don’t need to run queries themselves. Plus, cloud-based solutions like Querio often reduce IT expenses by 15–25% annually [7]. This can be critical given the steep costs of downtime, which average $593 per minute [7].
Beyond pricing, Querio’s integration capabilities make it particularly appealing. Direct connections to major data warehouses like Snowflake and BigQuery ensure data integrity and real-time access. For U.S. companies navigating strict compliance requirements, Querio’s approach helps maintain data sovereignty while delivering up-to-date insights.
For enterprises with heightened security needs, Querio offers a self-hosted option at a 50% premium. While pricier, this option provides enhanced protection for sensitive operations.
The ability to leverage real-time data insights can significantly impact decision-making, delivering measurable results across a variety of industries.
Conclusion
U.S. companies need to select a platform that aligns with their specific goals and operational demands.
Querio emerges as a practical option for businesses seeking quick deployment. With an annual starting price of $14,000 and unlimited viewer access, it’s an attractive choice for organizations aiming to broaden data accessibility. Its seamless integration with major data warehouses and natural-language querying tools ensures companies can start deriving insights almost immediately.
However, the competitive landscape has seen noteworthy shifts. In June 2025, IBM acquired Seek AI, incorporating it into their expansive AI ecosystem. As Sarah Nagy, CEO of Seek AI, stated: "Building a foundational part of watsonx AI Labs allows us to pair our expertise building data agents with IBM's engineering depth to solve clients' toughest AI challenges" [8]. This acquisition strengthens IBM's AI offerings, making it a compelling option for enterprises already embedded in IBM’s ecosystem.
For mid-sized businesses in the U.S. looking for quick and cost-effective solutions, Querio’s straightforward setup and pricing structure offer a clear path to actionable insights in days, not months. On the other hand, large enterprises with intricate AI needs and existing ties to IBM may benefit from Seek AI’s integration into IBM’s broader framework.
Ultimately, the decision comes down to immediate priorities versus long-term scalability. U.S. companies must weigh the value of fast, accessible insights against the potential benefits of integrating into a more extensive AI ecosystem. The right choice will depend on balancing today’s operational needs with tomorrow’s strategic ambitions.
FAQs
How does Querio handle integration and scalability for businesses?
Querio is built to connect effortlessly with all major databases, whether hosted in the cloud or managed on-premises. This makes it a practical choice for businesses of any size. It supports direct database connections and integrates smoothly with tools like SQL and Python, giving users plenty of room for customization and growth.
Thanks to its flexible deployment options and emphasis on handling data efficiently, Querio helps businesses expand their operations while ensuring data remains secure and well-managed.
How does Querio protect sensitive business data and ensure compliance with regulations?
Querio places a strong emphasis on safeguarding data by adhering to top-tier standards such as SOC 2 Type II. This certification reflects a commitment to strict protocols around security, availability, and confidentiality.
To strengthen its defenses, Querio enforces robust privacy measures and conducts regular assessments of its subprocessors. These efforts ensure sensitive business data stays protected and regulatory requirements are consistently upheld, providing businesses with confidence in managing their confidential information.
What key factors should businesses evaluate when choosing Querio for AI-driven data analysis?
When choosing Querio for AI-powered data analysis, there are a few important things to keep in mind to ensure it aligns with your business needs. Start by looking at its integration capabilities - it should connect effortlessly with your current systems. This helps maintain smooth operations and avoids interruptions in your data workflows.
Next, think about scalability. Can Querio handle increasing data volumes and adapt to your business as it grows? This is crucial for keeping up with future demands.
Also, check how well Querio provides automated insights. These insights should help you make quicker, data-driven decisions. Whether your focus is streamlining operations, improving customer experiences, or driving growth, make sure the platform supports your specific objectives. By considering these factors, you can make smarter choices and get the most out of your AI analytics efforts.