Ridge AI
Ridge AI is a Seattle-based startup building AI-native embedded analytics for B2B SaaS companies, pairing interactive dashboards with AI Data Agents that answer natural language questions via a browser-based DuckDB and WebAssembly architecture.
- Company typePrivate
- Founded2026
- HeadquartersSeattle, United States
- Headcount1–10
- GTM typeB2B
- OfferingSoftware
What Ridge AI does
Ridge AI is a Seattle-based, venture-backed startup that builds AI-native embedded analytics infrastructure for B2B SaaS companies. The platform pairs interactive customer-facing dashboards with AI Data Agents that answer free-form natural language questions against connected datasets, positioning Ridge as a faster, lower-engineering alternative to traditional embedded BI tools. Its initial customers are software vendors in software/technology, analytics, professional services, and real estate/EV infrastructure that need to demonstrate product value, answer ad-hoc customer questions, and reduce custom reporting load.
The product is built on a browser-based architecture using DuckDB and WebAssembly (WASM) for in-browser computation, which delivers sub-second interactivity without server round-trips and avoids per-query hyperscaler compute costs. Three AI agents power the workflow: Build Agent generates dashboards from natural language goals and metrics, Data Agent translates user questions into SQL that executes locally in the browser with linked interactivity against dashboard filters, and Transform Agent handles lightweight data preparation (type casting, filtering, null handling, column renaming). Visualization rendering is built on Mosaic, an open-source architecture developed by co-founder Jeff Heer at the UW Interactive Data Lab. The platform integrates with Snowflake, Databricks, Google BigQuery, PostgreSQL, Amazon S3, Cloudflare R2, Apache Iceberg, and Microsoft Fabric OneLake, with multi-tenant data isolation via JWT authentication and partition columns. Ridge AI completed SOC 2 Type 1 in November 2025 and is progressing toward Type 2.
Ridge AI monetizes through a subscription SaaS model priced per 'Ridge' (a dashboard plus paired Data Agent) across four tiers: Free ($0), Solo ($450/month or $4,800/year), Standard ($850/month or $9,600/year), and Enterprise ($1,295/month or $14,400/year), with custom plans available. Distribution is product-led through a closed beta with weekly cohort invites, supplemented by an enterprise sales motion (Talk with Sales CTA) for Standard and Enterprise plans. The company is privately held, headquartered at 1522 Western Ave, STE 12925, Seattle, WA, and as of April 2026 is pre-revenue with a founding team of four and total funding of $2.6 million in a pre-seed round led by Madrona.
Ridge AI firmographics
Firmographics- Name
- Ridge AI
- Legal name
- Ridge AI, Inc.
- Website
- https://ridgedata.ai
- Company type
- Private
- Founded year
- 2026
- Operating status
- Operating
- Headcount range
- 1–10 employees
- Short description
- Ridge AI is a Seattle-based startup building AI-native embedded analytics for B2B SaaS companies, pairing interactive dashboards with AI Data Agents that answer natural language questions via a browser-based DuckDB and WebAssembly architecture.
- Ownership category
- akta.pro rank
Ridge AI industry classification
Industry- Product category
- Embedded Analytics Software
- NAICS
- Software Publishers (513210)
- SIC
- Services-Prepackaged Software (7372)
- akta.pro primary industry
- AI Application Enablement Platforms (Copilot/Agent Frameworks, SDKs) (HDAEANAJ)
- akta.pro secondary industries
- Enterprise AI Data & Knowledge Platforms (Vector Databases, Knowledge Graphs) (HDAEANAH), End-to-End Enterprise AI Platforms (MLOps & Model Lifecycle Management) (HDAEANAA)
Keywords
Where Ridge AI is headquartered
LocationHeadquarters
- HQ city
- Seattle
- HQ country
- United States
- HQ region
- North America
Offices1 record
Markets served
Ridge AI business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Marketing or Sales, Operations
Revenue model
- Subscription SaaS: Subscription-based pricing tiers (Free, Solo, Standard, Enterprise) priced per Ridge (dashboard + data agent). Annual plans available with discounts. Custom enterprise plans for higher limits.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Freemium | Monthly | Free - $0/month for evaluation and testing |
| Subscription | Annual | Solo - $450/month ($4,800/year) for single-view analytics |
| Subscription | Annual | Standard - $850/month ($9,600/year) for in-product analytics |
| Subscription | Annual | Enterprise - $1,295/month ($14,400/year) for high-volume usage |
Go-to-market motion2 records
Distribution channels2 records
Marketing channels4 records
Ridge AI product offering
Product offeringCore offering
Ridge AI builds an AI-native embedded analytics platform that lets B2B SaaS product teams rapidly deploy interactive customer-facing dashboards paired with AI-powered data agents. The platform runs computation in the user's browser using DuckDB and WebAssembly for sub-second interactivity, and includes Build Agent (dashboard generation), Data Agent (natural language exploration), and Transform Agent (data preparation) capabilities. It is sold as a per-Ridge subscription product with white-label embedding into customer products.
Product overview
Ridge AI is an AI-native embedded analytics platform designed for B2B SaaS companies. The core offering consists of the Ridge AI Platform, which pairs interactive dashboards with AI-powered Data Agents. The platform includes three key AI agents: the Build Agent for AI-powered dashboard generation from natural language prompts, the Data Agent for natural language data exploration alongside every dashboard, and the Transform Agent for lightweight data preparation. The platform is browser-based, processing data locally in the user's browser using DuckDB and WebAssembly for sub-second performance, enabling embedded analytics without cloud infrastructure costs. Ridge AI emerged from stealth in April 2026 with $2.6M pre-seed funding.
Differentiator
Problem solved
Functional benefit
Brands
- Ridge: A Ridge is a dashboard with a data agent, both backed by the same underlying data. It combines visual sense-making from dashboards with natural language exploration from AI data agents.
- Build Agent
- Data Agent
- Transform Agent
- Mosaic
Products and services
- Ridge AI Platform AI-native embedded analytics platform for B2B SaaS companies. Combines interactive dashboards with AI-powered Data Agents to let product teams prove value to customers and answer free-form questions. Runs in the user's browser via DuckDB and WebAssembly for sub-second interactivity, with white-label embedding, customer data partitioning, and integrations to Databricks, Snowflake, BigQuery, PostgreSQL, S3, R2, Iceberg, and Microsoft Fabric OneLake. Sold per Ridge (dashboard + paired Data Agent) on Free, Solo, Standard, and Enterprise subscription tiers.
Quantifiable outcome
- Dashboards deploy in hours rather than months
- +1 more outcomes
Companies that use Ridge AI
Customer profileNamed customers5 records
Segments1 record
Ideal customer profiles2 records
Ridge AI technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
Integration8 records
AI capability5 records
Feature6 records
Ridge AI partnerships and signals
Strategic signalPartnerships
Five partnerships are on record, tiered core.
- DatabrickscoreIntegration partnership for data connections. Ridge supports Databricks as an enterprise data source. Zaheera Valani (VP Engineering, Databricks Seattle) is an angel investor.
- SnowflakecoreIntegration partnership for data connections. Ridge supports Snowflake as an enterprise data source.
- Google BigQuerycoreIntegration partnership for data connections. Ridge supports BigQuery as an enterprise data source.
- DuckDBcoreDuckDB is an open-source in-browser analytical database that enables Ridge's browser-based computation and sub-second interactivity.
- Mosaic (UW Interactive Data Lab)coreOpen-source visualization architecture developed by Jeff Heer and Dominik Moritz. Provides scalable, linked interactions for interactive data views on the web. Over 1,100 GitHub stars.
Scale indicators2 records
Recent moves5 records
Expansion highlights6 records
Ridge AI competitors and assessment
Company assessmentBroad incumbents
- Looker (Google Cloud): Looker is a large-scale enterprise BI and embedded analytics platform owned by Google Cloud. It serves a similar buyer base to Ridge but as part of a broader Google Cloud portfolio, with deeper integrations and infrastructure but slower product velocity.
- Tableau (Salesforce): Tableau is the legacy market leader in data visualization and embedded analytics, now owned by Salesforce. It overlaps with Ridge's analytics category but lacks Ridge's AI-native architecture and browser-based compute; notably, multiple Ridge founders (Ellie Fields, Chris Stolte angel) are Tableau alumni.
- Domo: Domo is a cloud-based BI and embedded analytics platform with AI features. It serves a similar enterprise buyer profile to Ridge and competes in embedded analytics for SaaS products, though with a heavier traditional-server architecture.
Direct peers
- Hex: Hex is a collaborative AI-native data notebook and analytics platform with natural language querying and AI-assisted analysis. It overlaps directly with Ridge on AI-driven data exploration and dashboard building for technical B2B users.
- Sigma Computing: Sigma is a direct competitor in AI-native embedded analytics for B2B SaaS. Like Ridge, it targets product teams needing to ship customer-facing dashboards with NL querying and AI assistance, and offers a spreadsheet-style UI for cloud data warehouses.
- Mode Analytics: Mode is an analytics platform combining SQL/Python notebooks with dashboards and now AI features. It targets data teams at SaaS and B2B companies building customer-facing and internal analytics, directly overlapping with Ridge's buyer.
- ThoughtSpot: ThoughtSpot is an AI-powered analytics platform with natural language search, embedded analytics, and AI agents. It competes head-to-head with Ridge in the B2B SaaS embedded analytics category and has deeper funding and enterprise penetration.
Emerging players
- Streamlit (Snowflake): Streamlit is a Python framework for building data apps, now part of Snowflake. Its founder (Adrien Treuille) is a Ridge AI angel, and the platforms are complementary rather than directly competing; both serve teams turning data into productized experiences.
- Preset (Apache Superset): Preset is the commercial offering around Apache Superset, an open-source data exploration and visualization platform. It overlaps with Ridge's B2B SaaS buyer profile at a lower price point and offers an alternative for teams that prefer open-source dashboards with emerging AI features.
- Observable: Observable is a collaborative data visualization and analytics notebook platform built on JavaScript and D3. It overlaps with Ridge's data exploration and visualization category, particularly for teams that want interactive, code-driven analytics.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key highlights6 records
Customer concentration
Ridge AI social profiles
Digital presenceRidge AI compliance and trust
Trust signalCompliance2 records
Ridge AI financial estimates
Financial estimateRevenue estimate
Valuation estimate
Ridge AI leadership team
Management profileNumber of profiles
Profiles4 records
Ridge AI funding detail
Funding detailFunding overview
Funding rounds1 record
Investors2 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Ridge AI 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 Ridge AI
What does Ridge AI do?
Ridge AI builds an AI-native embedded analytics platform that lets B2B SaaS product teams rapidly deploy interactive customer-facing dashboards paired with AI-powered data agents. The platform runs computation in the user's browser using DuckDB and WebAssembly for sub-second interactivity, and includes Build Agent (dashboard generation), Data Agent (natural language exploration), and Transform Agent (data preparation) capabilities. It is sold as a per-Ridge subscription product with white-label embedding into customer products.
Is Ridge AI a public or private company?
Ridge AI is a private company. It is classified as venture growth investor backed and is currently operating.
When was Ridge AI founded?
Ridge AI was founded in 2026. It employs 1 to 10 people.
Where is Ridge AI based?
Ridge AI is headquartered in Seattle, United States, in the North America region.
How does Ridge AI make money?
One revenue line is on record: subscription SaaS.
Who are Ridge AI's main competitors?
Broad incumbents on record are Looker (Google Cloud), Tableau (Salesforce) and Domo. Direct peers are Hex, Sigma Computing, Mode Analytics and ThoughtSpot. Emerging players are Streamlit (Snowflake), Preset (Apache Superset) and Observable.
Does Ridge AI have an API?
No public API is recorded for Ridge AI.
What industry is Ridge AI in?
Ridge AI's product category is Embedded Analytics Software. Its primary akta.pro industry code is HDAEANAJ, AI Application Enablement Platforms (Copilot/Agent Frameworks, SDKs), with a secondary code of HDAEANAH, Enterprise AI Data & Knowledge Platforms (Vector Databases, Knowledge Graphs). Its NAICS code is 513210 and its SIC code is 7372.