Querio
- Company typePrivate
- Founded2024
- HeadquartersLondon, United Kingdom
- Headcount1–10
- GTM typeB2B
- OfferingSoftware
Querio firmographics
Firmographics- Name
- Querio
- Website
- https://querio.ai
- Company type
- Private
- Founded year
- 2024
- Operating status
- Operating
- Headcount range
- 1–10 employees
- Ownership category
- akta.pro rank
Querio industry classification
Industry- Product category
- AI-powered Business Intelligence
- NAICS
- Software Publishers (5132), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (5182)
- SIC
- Services-Prepackaged Software (7372)
- akta.pro primary industry
- Q&A and Knowledge Discovery Platforms (BPAMAAAF)
- akta.pro secondary industries
- Question Answering & Retrieval-Augmented Generation (RAG) (HDAAADAC), Business Rules & Decision Management Platforms (BRMS/DMN) (HDAEAKAG)
Keywords
Where Querio is headquartered
LocationHeadquarters
- HQ city
- London
- HQ country
- United Kingdom
- HQ region
- Europe
Markets served
Querio business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Marketing or Sales, Operations, Infrastructure
Revenue model
- Enterprise Subscription: Annual subscription pricing starting at $14,000 per year for enterprise deployments. The platform connects to major data warehouses and provides natural language querying capabilities for non-technical teams.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Subscription | Annual | Enterprise Deployment |
Go-to-market motion1 record
Distribution channels2 records
Marketing channels4 records
Querio product offering
Product offeringCore offering
Querio is a generative AI-powered business intelligence platform that lets non-technical business users query enterprise data warehouses (Snowflake, Google BigQuery) using natural language. The platform converts plain-English questions into inspectable SQL and Python code, emphasizing transparency, auditability, and data governance so analytics and data teams can review and edit the generated queries.
Product overview
Querio is a single unified generative AI-powered business intelligence platform that connects to major data warehouses (Snowflake and BigQuery) to enable non-technical users to query data using plain English instead of SQL. The platform is designed for enterprise deployments with pricing starting at $14,000 annually and includes features for natural language querying, predictive analytics, automated reporting, and embedded analytics. Querio positions itself as an alternative to traditional BI tools like Tableau and Looker, with a focus on AI-driven insights and governance through transparency.
Differentiator
Problem solved
Functional benefit
Products and services
- Querio Platform
Quantifiable outcome
- Reduces sales analysis time from 4 hours to 15 minutes per seller
- +3 more outcomes
Companies that use Querio
Customer profileNamed customers1 record
Segments3 records
Ideal customer profiles1 record
Querio technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
Integration2 records
AI capability5 records
Feature4 records
Querio partnerships and signals
Strategic signalPartnerships
Two partnerships are on record, tiered core.
- SnowflakecoreSnowflake is a core data warehouse integration partner. Querio connects to Snowflake allowing users to query data using natural language instead of SQL, enabling non-technical teams to access data insights.
- Google BigQuerycoreGoogle BigQuery is integrated as a data warehouse connection option. Users can query BigQuery data using plain English through Querio's natural language interface.
Scale indicators5 records
Recent moves6 records
Expansion highlights4 records
Querio competitors and assessment
Company assessmentDirect peers
- ThoughtSpot: AI-powered analytics platform that pioneered natural-language search-driven BI for business users. Most direct competitor to Querio's NL-to-SQL value proposition, targeting enterprise customers with similar self-service analytics use cases.
- Sigma Computing: Cloud-native BI platform that runs directly on top of data warehouses (Snowflake, BigQuery) with a spreadsheet-style interface. Direct comparable in warehouse-native, SQL-transparent BI for non-technical users.
- Mode Analytics: Analytics platform combining SQL-based reports, notebooks (Python/R), and visual dashboards. Overlaps with Querio's data notebook and embedded analytics positioning for hybrid analyst/business-user teams.
- Hex: Modern collaborative data workspace with AI-augmented notebooks that connect to warehouses and allow NL-to-SQL generation. Closest direct overlap with Querio's 'data notebooks + AI copilot' positioning.
Broad incumbents
- Tableau: The dominant legacy BI platform, owned by Salesforce. Querio explicitly positions against Tableau and Looker; Tableau has a massive enterprise installed base and is now adding Einstein/AI NL-query features.
- Looker: Google Cloud-owned BI platform tightly integrated with BigQuery, one of Querio's named integration partners. Looker is a direct incumbent competitor that Google is actively enhancing with Gemini AI features.
- Microsoft Power BI: Microsoft's flagship BI product, embedded in the enterprise Microsoft stack and now integrating Copilot AI NL-query features. Represents the largest competitive threat through bundling and existing enterprise relationships.
- Sisense: Embedded analytics and BI vendor serving both end-user analytics and OEM/embedded use cases. Overlaps with Querio's 'embedded analytics' positioning and competes for enterprise analytics budgets.
- Domo: Cloud BI and analytics platform with AI/ML features including natural-language querying (DomoAI). Broader incumbent with significant enterprise footprint that competes for the same AI-BI budget pool.
Emerging players
- Tellius: AI-driven decision intelligence platform with natural-language querying and automated insight discovery. Niche competitor focused specifically on AI-native analytics for enterprise business users.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat3 records
Key risks6 records
Key highlights6 records
Customer concentration
Querio social profiles
Digital presenceQuerio financial estimates
Financial estimateRevenue estimate
Valuation estimate
Querio leadership team
Management profileNumber of profiles
Profiles1 record
Querio funding detail
Funding detailFunding overview
Funding rounds2 records
Investors7 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Querio M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Querio
What does Querio do?
Querio is a generative AI-powered business intelligence platform that lets non-technical business users query enterprise data warehouses (Snowflake, Google BigQuery) using natural language. The platform converts plain-English questions into inspectable SQL and Python code, emphasizing transparency, auditability, and data governance so analytics and data teams can review and edit the generated queries.
Is Querio a public or private company?
Querio is a private company. It is classified as venture growth investor backed and is currently operating.
When was Querio founded?
Querio was founded in 2024. It employs 1 to 10 people.
Where is Querio based?
Querio is headquartered in London, United Kingdom, in the Europe region.
How does Querio make money?
One revenue line is on record: enterprise Subscription.
Who are Querio's main competitors?
Direct peers on record are ThoughtSpot, Sigma Computing, Mode Analytics and Hex. Broad incumbents are Tableau, Looker, Microsoft Power BI, Sisense and Domo. Tellius is listed as an emerging player.
Does Querio have an API?
No public API is recorded for Querio.
What industry is Querio in?
Querio's product category is AI-powered Business Intelligence. Its primary akta.pro industry code is BPAMAAAF, Q&A and Knowledge Discovery Platforms, with a secondary code of HDAAADAC, Question Answering & Retrieval-Augmented Generation (RAG). Its NAICS code is 5132 and its SIC code is 7372.