DataPad
DataPad is an AI-native analytics platform that lets non-technical business users query data in natural language, generate dashboards, and produce marketing and content deliverables via a multi-model AI agent with 200+ data source integrations.
- Company typePrivate
- Founded2012
- HeadquartersSan Francisco, United States
- Headcount1–10
- GTM typeB2B
- OfferingSoftware
What DataPad does
DataPad is an AI-powered autonomous data analytics platform that lets business users query, analyze, and act on their data through a natural-language interface without requiring SQL, Python, or data engineering expertise. The platform's core product is the AI Data Agent, a conversational interface that generates SQL and Python code in the background to produce charts, statistical analyses, and actionable deliverables such as ad campaigns, SEO strategies, blog posts, and email sequences. The product surface includes AI Dashboards, Text2SQL and Python conversion, 50+ pre-built AI Workflows, Data Blending across 200+ claimed integrations (with 50+ explicitly listed across Snowflake, BigQuery, Salesforce, HubSpot, Shopify, Google Ads, Facebook Ads, Stripe, Slack, and others), anomaly detection with automated alerts, Slack Bot delivery, Voice Mode, Shareable Reports, and Web Access for real-time market context. Underlying technology is a multi-model AI architecture orchestrating Claude (Anthropic), ChatGPT (OpenAI), and other models, augmented by a Learning Layer that retains workspace-specific business terminology and preferred metrics over time. The platform is hosted on Google Cloud Platform with Firebase-managed authentication.
DataPad firmographics
Firmographics- Name
- DataPad
- Legal name
- Datapad Inc.
- Website
- https://datapad.io
- Company type
- Private
- Founded year
- 2012
- Operating status
- Operating
- Headcount range
- 1–10 employees
- Short description
- DataPad is an AI-native analytics platform that lets non-technical business users query data in natural language, generate dashboards, and produce marketing and content deliverables via a multi-model AI agent with 200+ data source integrations.
- Ownership category
- akta.pro rank
DataPad industry classification
Industry- Product category
- AI-Powered Business Intelligence & Analytics
- NAICS
- Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (51821), Computer Systems Design and Related Services (54151), Software Publishers (513210), Custom Computer Programming Services (541511)
- SIC
- Services-Computer Processing & Data Preparation (7374), Services-Prepackaged Software (7372), Services-Computer Programming, Data Processing, Etc. (7370)
- akta.pro primary industry
- Data Platform (Unified Data & Analytics) Suites (HDAEABAD)
- akta.pro secondary industries
- Enterprise AI Data & Knowledge Platforms (Vector Databases, Knowledge Graphs) (HDAEANAH), Data Platforms & Modern Data Stack Services (Lakehouse, DW, MDM) (BPAEAHAC), Data Sharing, Data Exchange & Data Marketplace Platforms (HDAEABAH), Data Lake Platforms (HDAEABAC), Data App Builders (Forms, Portals & Internal Tools) (HDAEAKAK)
Keywords
Where DataPad is headquartered
LocationHeadquarters
- HQ city
- San Francisco
- HQ country
- United States
- HQ region
- North America
Offices2 records
Markets served
DataPad business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Personnel, Infrastructure, Marketing or Sales
Revenue model
- Subscription Plans: Tiered subscription model with Basic ($15/month), Pro ($25/user/month), Scale ($500/workspace/month), and custom Enterprise plans. Includes a 14-day free trial without payment information. Annual billing offers up to 20% savings.
- Usage-based Add-ons: Data source limits vary by plan; Enterprise tier includes unlimited data sources and custom limits negotiated per contract. Overage or expanded data source access drives incremental revenue.
- Professional Services (Enterprise): Enterprise plans include custom services, dedicated support, and white-label options, suggesting professional services and customization fees on top of base subscription.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Freemium | Pay-as-you-go | Free tier for individual users with basic AI data analysis |
| Per seat | Monthly | Per-user plan for individuals and small teams getting started |
| Per seat | Monthly | Per-user plan for growing small teams with essential features |
| Subscription | Monthly | Workspace-level plan for teams needing automation and advanced AI features |
| Subscription | Multi-year contract | Custom enterprise plan for large organizations with specific needs |
Go-to-market motion2 records
Distribution channels4 records
Marketing channels8 records
DataPad product offering
Product offeringCore offering
DataPad provides a SaaS AI-powered autonomous data analytics platform that lets business users query and analyze data using natural language. The platform automatically generates dashboards, visualizations, statistical analysis, and actionable deliverables (ad campaigns, SEO strategies, blog posts, sales scripts) from connected business data sources. It integrates with 200+ tools including databases (SQL, BigQuery, Snowflake), CRMs (Salesforce, HubSpot), marketing platforms (Google Ads, Facebook Ads), ecommerce (Shopify), and communication tools (Slack), replacing traditional BI workflows without requiring SQL or Python expertise.
Product overview
DataPad is an AI-powered autonomous data analytics platform that provides a unified product combining natural language data querying, automated dashboard generation, and AI-driven campaign creation. The core platform consists of the AI Data Agent as the primary interface, supported by AI Dashboards, Text2SQL & Python conversion, Data Blending, and 50+ AI Workflows. The platform includes specialized components like the Multi-Model AI (supporting Claude and ChatGPT), the Learning Layer for personalized context, and add-on modules including Slack Bot, Voice Mode, Shareable Reports, and Web Access. The architecture enables users to connect data sources, ask questions in plain English, receive automated analysis with visualizations, and generate actionable business deliverables—all from a single conversational interface backed by multiple specialized AI agents.
Differentiator
Problem solved
Functional benefit
Products and services
- DataPad AI Data Analyst Platform Core SaaS platform that combines natural language querying, automated dashboard generation, Text2SQL/Python code generation, anomaly detection, 50+ AI Workflows, and a Learning Layer. Sold to business users and teams via freemium, per-seat, workspace, and custom enterprise subscriptions; replaces traditional BI dashboards and analyst headcount without requiring SQL or Python skills.
- AI Workflows Library
Quantifiable outcome
- 5x better ROI compared to generic AI tools (claimed by 500+ teams)
- +5 more outcomes
Companies that use DataPad
Customer profileNamed customers18 records
Ideal customer profiles3 records
DataPad technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
Integration12 records
AI capability12 records
Feature10 records
DataPad partnerships and signals
Strategic signalPartnerships
Twelve partnerships are on record, tiered core infrastructure, core integration, key integration and core technology.
- Google Cloud Platform (GCP)core infrastructureDataPad operates on Google Cloud Platform where all user data is physically stored. GCP is described as a GDPR-compliant cloud platform. Data centers are located in the United States.
- Google Analyticscore integrationNative integration with Google Analytics for importing website traffic, session, CTR, and user behavior data into DataPad dashboards and AI analysis.
- Google Adscore integrationNative integration with Google Ads for importing advertising campaign performance data including impressions, clicks, spend, and ROAS into DataPad dashboards.
- Stripecore infrastructureThird-party payment processor used by DataPad for subscription billing. Users agree to Stripe's terms and conditions when subscribing to paid plans.
- Firebase (Google)core infrastructureFirebase handles user authentication for DataPad. Login credentials are managed exclusively by Firebase — no DataPad employee can access user login information.
- Slackcore integrationNative Slack Bot integration delivers data insights, KPI alerts, and automated reports directly into team Slack channels. Part of DataPad's go-to-market and product distribution.
- Salesforcekey integrationNative integration with Salesforce CRM enabling sales data import for cross-platform analysis alongside marketing and other business data.
- HubSpotkey integrationNative integration with HubSpot CRM and marketing platform enabling import of sales pipeline, marketing campaign, and customer data into DataPad dashboards.
- Shopifykey integrationNative integration with Shopify e-commerce platform for importing sales, orders, and customer data into DataPad analytics.
- Facebook Adskey integrationNative integration with Facebook/Meta advertising platform for importing ad campaign performance data including spend, reach, and conversions.
- Instagram Businesskey integrationNative integration with Instagram Business for importing social media engagement and advertising data into DataPad dashboards.
- Claude (Anthropic) / ChatGPT (OpenAI)core technologyMulti-model AI architecture leveraging Claude, ChatGPT, and other AI models for optimal analytical results across different types of queries and analysis tasks.
Scale indicators11 records
Recent moves6 records
Expansion highlights6 records
DataPad competitors and assessment
Company assessmentDirect peers
- ThoughtSpot: ThoughtSpot is an AI-powered analytics platform that lets business users query data through natural language and search; DataPad explicitly publishes a ThoughtSpot comparison page. Both target non-technical business users with AI-driven analytics and dashboards.
- Sisense: Sisense is an AI-driven embedded analytics platform serving business teams with dashboards and KPI tracking; DataPad publishes a direct vs Sisense comparison. Both target business teams needing accessible analytics and KPI monitoring.
- Sigma Computing: Sigma Computing is a cloud-native BI and analytics platform with a spreadsheet-style interface and deep warehouse integration; comparable to DataPad's spreadsheet-friendly dashboarding and Snowflake/BigQuery connectivity.
- Julius AI: Julius AI is an AI data analyst that turns natural language into SQL, Python, and visualizations; DataPad runs a direct comparison page against Julius. Both compete as AI-native analyst tools for SMB and individual analysts.
Broad incumbents
- Tableau (Salesforce): Tableau is the dominant legacy BI platform, now embedding AI (Tableau GPT/Einstein) for natural-language analytics; DataPad publishes a vs-Tableau comparison page. Tableau is a far larger incumbent DataPad positions against for self-service analytics.
- Domo: Domo is a cloud BI and analytics platform with broad data source connectivity and dashboards; comparable to DataPad in delivering unified cross-platform KPI dashboards, but at a much larger, more established scale.
- Microsoft Power BI: Power BI is Microsoft's mainstream BI platform with deep Microsoft 365, Excel, and Copilot AI integration; DataPad directly compares against Power BI. Power BI is the default analytics choice inside the Microsoft ecosystem that DataPad must displace.
Emerging players
- Vanna AI: Vanna AI builds AI-powered Text-to-SQL agents that translate natural language into accurate database queries; overlaps with DataPad's Text2SQL/Python capability. Both position around autonomous natural-language data analysis.
- Akkio: Akkio is an AI analytics platform offering no-code data exploration, predictive modeling, and natural-language querying for business users. Comparable as an AI-native challenger in the same conversational analytics category DataPad targets.
- Equals: Equals is a modern, collaborative spreadsheet-data tool with built-in data source connections and AI-assisted analysis; comparable to DataPad's Excel-first analysis flow and freemium team-based positioning.
Market position
Strengths4 records
Weaknesses5 records
Competitive moat5 records
Key risks6 records
Key highlights6 records
Customer concentration
DataPad social profiles
Digital presenceDataPad compliance and trust
Trust signalCompliance3 records
DataPad financial estimates
Financial estimateRevenue estimate
Valuation estimate
DataPad leadership team
Management profileNumber of profiles
Profiles2 records
DataPad funding detail
Funding detailFunding overview
Funding rounds5 records
Investors10 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
DataPad 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 DataPad
What does DataPad do?
DataPad provides a SaaS AI-powered autonomous data analytics platform that lets business users query and analyze data using natural language. The platform automatically generates dashboards, visualizations, statistical analysis, and actionable deliverables (ad campaigns, SEO strategies, blog posts, sales scripts) from connected business data sources. It integrates with 200+ tools including databases (SQL, BigQuery, Snowflake), CRMs (Salesforce, HubSpot), marketing platforms (Google Ads, Facebook Ads), ecommerce (Shopify), and communication tools (Slack), replacing traditional BI workflows without requiring SQL or Python expertise.
Is DataPad a public or private company?
DataPad is a private company. It is classified as venture growth investor backed and is currently operating.
When was DataPad founded?
DataPad was founded in 2012. It employs 1 to 10 people.
Where is DataPad based?
DataPad is headquartered in San Francisco, United States, in the North America region.
How does DataPad make money?
Three revenue lines are on record. Subscription Plans are the primary driver. The others are usage-based Add-ons and professional Services (Enterprise).
Who are DataPad's main competitors?
Direct peers on record are ThoughtSpot, Sisense, Sigma Computing and Julius AI. Broad incumbents are Tableau (Salesforce), Domo and Microsoft Power BI. Emerging players are Vanna AI, Akkio and Equals.
Does DataPad have an API?
No public API is recorded for DataPad.
What industry is DataPad in?
DataPad's product category is AI-Powered Business Intelligence & Analytics. Its primary akta.pro industry code is HDAEABAD, Data Platform (Unified Data & Analytics) Suites, with a secondary code of HDAEANAH, Enterprise AI Data & Knowledge Platforms (Vector Databases, Knowledge Graphs). Its NAICS code is 51821 and its SIC code is 7374.