Ridge AI

What Ridge AI does

Ridge AI uses AI and a web-native architecture to help companies communicate outcomes to their customers. It auto-creates dashboards and data agents (together, Ridges) in days, not quarters, to provide embedded analytics. Ridge aims to solve the problem of product teams spending too much time building reporting to show value, offering a faster, more interactive, and accessible way to work with data. The platform includes agents for building analytics, answering follow-up questions with natural language, and light data preparation. It is designed for embedding directly into products, offering high performance and enterprise-grade security.

Products

• Free RidgeA free plan to try out Ridge, including Build Agent, Data Agent, and Transform Agent, with no data refresh, no embedding, no partitioning, up to 5 in-app users, and up to 100 monthly views.
• Solo PlanDesigned for a single view of data when partitioning is not needed. Includes data refresh, embedding for 2 Ridges, unlimited in-app users, and up to 1,000 monthly views.
• Standard PlanIdeal for in-product analytics, serving up to 1,000 customers with their own data through partitioning, and up to 10,000 monthly views.
• Enterprise PlanFor high-volume usage, serving up to 5,000 customers, embedding 3 Ridges, with partitioning up to 5,000 and custom monthly views.
• Build AgentGuides users with natural language to build analytics, grounded in research on data understanding, delivering experiences in minutes.
• Data AgentA natural-language data experience that handles follow-up questions with Q&A and validates results, working alongside dashboards.
• Transform AgentSupports light data preparation in an AI-native experience, acting as a composable analytics layer on top of existing data stacks.

Key capabilities

• AI-evolved dashboards
• Data agents for natural language Q&A
• Web-native architecture
• Auto-creation of dashboards and data agents (Ridges)
• Embedded analytics
• Browser-based tech stack for fast and interactive data
• Natural language guided analytics (Build Agent)
• Light data preparation (Transform Agent)
• Connects to enterprise data sources
• Data partitioning for customer-specific views
• Scheduled data refreshes
• File upload for data
• Embeddable via iFrame or embedding SDK
• Custom theming for brand matching
• Control experience with Embedding SDK
• Enterprise-grade security using JWT
• Sub-second interactivity on large datasets
• DuckDB integration for high-performance analytical database
• Mosaic integration for scalable, linked interactions
• OAuth2 authentication integration
• JWT-based user and tenant scoping
• Row and dataset isolation per tenant
• Encrypted data in transit and at rest
• Secure credential storage
• Multi-factor authentication and role-based access controls
• Continuous logging, monitoring, and intrusion detection
• Regular vulnerability scanning and penetration testing
• Documented incident response and business continuity plans
• Operates on modern cloud infrastructure with enterprise-grade network security, DDoS protection, and global failover capabilities
• Ongoing vendor risk reviews

Use cases

• Communicating outcomes to customers
• Building reporting to show value
• Providing embedded analytics within products
• Answering customer follow-up questions about data
• Quickly creating interactive analytics for customers
• Showing clients their business outcomes
• In-product analytics
• Delivering customer-facing analytics

AI approach

Ridge AI uses AI and a web-native architecture to auto-create dashboards and data agents for SaaS companies, helping them communicate outcomes to customers. It leverages AI for guided analytics creation (Build Agent), natural-language Q&A for follow-up questions (Data Agent), and light data preparation (Transform Agent). The company states it uses AI thoughtfully in service of making data actionable and accessible.

Tech named: DuckDB, Mosaic, OAuth2, JWT

Industries served

• SaaS

What it says sets it apart

• AI and web-native architecture for rapid dashboard and data agent creation
• Auto-creates dashboards and data agents in days, not quarters
• Embeddable Ridges provide a richer customer experience and unblock revenue
• Ditches the learning curve with AI and best practice guidance
• Every dashboard includes a Data Agent to answer questions, skipping custom dashboard requests
• Browser-based tech stack for fast and interactive data
• Deployable in hours, reducing need for large teams
• SOC 2 Type II compliant for security
• Analytics guided by the 'why' with natural language (Build Agent)
• Compelling, natural-language data experience (Data Agent)
• Flexible and integrated with existing data stacks (Transform Agent)
• Performance is an order of magnitude faster than legacy dashboards due to bringing data directly to the user's browser and optimizing queries locally
• Built secure by design with integrations for existing security infrastructure

Funding rounds we track

From the AI funding tracker — rounds as reported by the linked publications.