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Domo.AI

Business intelligence platform that combines data analytics with AI capabilities for analyzing business data.

Starting atCustom quote (~$750–$1,500/mo)
Visit Domo.AI →
OverviewFeaturesPricingUse CasesLimitationsFAQSecurityAlternatives

Overview

Domo.AI is an enterprise analytics platform that combines business intelligence with agentic AI capabilities, enabling organizations to analyze data, build AI agents, and automate decision-making with enterprise-grade governance, with pricing available through custom enterprise quotes. It is built for mid-market and enterprise teams that need governed AI deployment alongside traditional BI workflows. Founded in 2010 by Josh James (former Omniture CEO), Domo went public on Nasdaq in 2018 and has grown into a platform serving thousands of organizations including major brands across retail, manufacturing, financial services, and healthcare.

The Domo.AI suite centers on three pillars: Agent Catalyst (a no-code platform for building, deploying, and governing AI agents), AI Chat (a conversational interface that lets business users query data in natural language), and Governed Agentic AI (an enterprise framework for safely deploying autonomous AI workflows with audit trails and access controls). The platform integrates with 1,000+ data sources through its Domo Data Connectors library, supports multiple LLM providers including OpenAI, Anthropic, Google, and open-source models, and includes built-in data prep, visualization, and app-building tools. Based on our analysis of 870+ AI tools, Domo is one of the few platforms that bundles full BI capabilities with agentic AI rather than offering them as separate products.

Compared to alternatives like Tableau, Power BI, or ThoughtSpot, Domo differentiates through its end-to-end approach: customers don't need separate tools for ETL, dashboards, AI chat, and agent orchestration. The trade-off is cost — Domo's enterprise-only pricing model (typically starting around $750-$3,000+/month for the lowest commercial tiers, with most customers in five- or six-figure annual contracts) places it well above self-serve BI tools. Best fit for mid-to-large organizations that want a single governed platform for both analytics and AI agents rather than stitching together a modern data stack.

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Key Features

Agent Catalyst+

A no-code platform for designing, deploying, and governing autonomous AI agents that can execute multi-step business workflows. Agents can pull from any connected data source, call out to LLMs, and take actions like sending emails, updating records, or triggering downstream systems. Centralized governance ensures every agent run is logged and auditable.

AI Chat+

A conversational interface that lets business users ask natural language questions of their data and receive instant charts, summaries, or follow-up suggestions. AI Chat is grounded in the company's governed semantic layer, so answers reflect official metric definitions rather than hallucinated SQL. It supports follow-up turns and can drill into specific dashboards on request.

Governed Agentic AI Framework+

An enterprise control plane for managing which LLMs agents can call, what data they can access, and which actions they can take. Includes PII redaction, role-based permissions, prompt logging, and approval workflows for high-impact agent actions. Designed for regulated industries that need explainability and compliance defensibility.

Magic ETL & 1,000+ Data Connectors+

Domo's drag-and-drop ETL builder lets analysts transform data without writing SQL, while the connector library covers 1,000+ sources including Salesforce, NetSuite, Snowflake, Google Analytics, Workday, and most enterprise SaaS apps. Connections refresh on schedules ranging from real-time to nightly, and the platform handles incremental loads automatically.

Domo Everywhere Embedded Analytics+

A white-label embedding framework for SaaS vendors and enterprises that want to ship dashboards inside their own products or customer portals. Supports custom branding, row-level security, and SSO, with usage-based pricing for external viewers. Used by software vendors to monetize data products without building BI tooling from scratch.

Pricing Plans

Domo Starter

Custom quote (~$750–$1,500/mo)

  • ✓Core BI dashboards and visualizations
  • ✓Limited data connectors
  • ✓Basic user roles and permissions
  • ✓Standard support

Domo Professional

Custom quote (~$1,500–$3,000/mo)

  • ✓Full connector library (1,000+ sources)
  • ✓Magic ETL data transformation
  • ✓AI Chat natural language querying
  • ✓Domo Everywhere embedded analytics
  • ✓Role-based access controls and audit logging
  • ✓Mobile BI apps

Domo Enterprise

Custom quote (~$40,000–$200,000+/yr)

  • ✓Everything in Professional
  • ✓Agent Catalyst no-code AI agent builder
  • ✓Governed Agentic AI framework
  • ✓Multi-LLM routing (OpenAI, Anthropic, Google, open-source)
  • ✓PII redaction and compliance controls
  • ✓Dedicated support and professional services
  • ✓Custom AI credit allocation
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Best Use Cases

đŸŽ¯

Executive dashboards consolidating data from Salesforce, NetSuite, and marketing platforms into a single mobile-friendly view for C-suite consumption

⚡

Building internal AI agents with Agent Catalyst that monitor KPIs, detect anomalies, and trigger Slack/email alerts or downstream workflows automatically

🔧

Embedded analytics for SaaS vendors who want to ship customer-facing dashboards inside their product via Domo Everywhere

🚀

Replacing a fragmented modern data stack (Fivetran + dbt + Looker + LangChain) with a single governed platform for mid-market companies

💡

Regulated industries (finance, healthcare, pharma) that need audit trails, PII controls, and multi-LLM routing for compliance-sensitive AI deployments

🔄

Self-service natural language querying via AI Chat for non-technical business users in sales, marketing, and operations who want answers without writing SQL

Limitations & What It Can't Do

We believe in transparent reviews. Here's what Domo.AI doesn't handle well:

  • ⚠No public self-serve pricing or free tier beyond a 30-day trial — small teams cannot adopt incrementally
  • ⚠Credit-based AI consumption pricing makes total cost difficult to predict as agent usage scales
  • ⚠Advanced customization typically requires Domo Bricks (proprietary development framework) rather than standard SQL/Python
  • ⚠Smaller partner and developer ecosystem than Microsoft Power BI or Salesforce Tableau
  • ⚠Heavy enterprise sales motion — procurement and implementation cycles often take 60–90 days versus self-serve BI alternatives

Pros & Cons

✓ Pros

  • ✓Combines BI, ETL, dashboarding, and agentic AI in a single platform — eliminates need for separate Tableau/Fivetran/LangChain stack
  • ✓1,000+ native data connectors covering Salesforce, NetSuite, Snowflake, Google Analytics, and most enterprise SaaS sources
  • ✓Strong governance layer with role-based permissions, PII protection, and audit trails — important for regulated industries
  • ✓Multi-LLM flexibility lets enterprises route prompts to OpenAI, Anthropic, Google Gemini, or open-source models based on cost/sensitivity
  • ✓Mature mobile experience — Domo's iOS/Android apps are consistently rated higher than competitors for executive on-the-go reporting
  • ✓Founded in 2010 and publicly traded (NASDAQ: DOMO) — established vendor with thousands of enterprise customers including DHL, Cisco, and Roche

✗ Cons

  • ✗Pricing is opaque and enterprise-only — no public self-serve tier, with annual contracts typically running well into five or six figures
  • ✗Steeper learning curve than Power BI or Looker Studio for teams without dedicated data engineers
  • ✗Per-credit consumption pricing for AI features can produce unpredictable bills as agent usage scales
  • ✗Customization beyond pre-built widgets often requires Domo Bricks development knowledge or professional services engagement
  • ✗Smaller third-party community and marketplace compared to Tableau or Power BI ecosystems

Frequently Asked Questions

How much does Domo.AI cost?+

Domo does not publish public pricing for Domo.AI; all plans are quoted through sales. Industry reports and customer case studies suggest starter contracts begin around $750–$3,000/month, with most mid-market and enterprise customers spending $40,000–$200,000+ annually depending on user count, data volume, and AI credit consumption. AI features are typically billed via a credit-based consumption model layered on top of the base subscription. Prospective buyers should request a custom quote that explicitly itemizes user seats, data storage, and AI credits.

What is Agent Catalyst and how is it different from AI Chat?+

Agent Catalyst is Domo's no-code platform for building, deploying, and governing autonomous AI agents that can execute multi-step workflows — for example, an agent that monitors inventory, drafts a purchase order, and routes it for approval. AI Chat, by contrast, is a conversational interface where business users type natural language questions like 'What were Q4 sales by region?' and receive instant charts and answers. Agent Catalyst is for building agentic automation; AI Chat is for ad-hoc data exploration. Both are part of the broader Domo.AI suite and share the same governance layer.

Which LLMs does Domo.AI support?+

Domo.AI is model-agnostic and supports major commercial LLMs including OpenAI's GPT family, Anthropic's Claude models, Google Gemini, and open-source options like Llama and Mistral. Enterprises can route specific prompts or agents to different models based on cost, latency, or data-sensitivity requirements — for example, keeping PII queries on a private model while sending general analytics questions to a commercial API. This multi-LLM approach is one of Domo's key differentiators against single-model BI tools and is managed centrally through the Governed Agentic AI framework.

How does Domo.AI compare to Tableau, Power BI, or ThoughtSpot?+

Domo bundles ETL, dashboarding, embedded analytics, and agentic AI into one platform, while Tableau and Power BI focus primarily on visualization and require separate tools (Fivetran, dbt, Azure ML, etc.) for the rest of the stack. ThoughtSpot is closer in spirit with its search-driven analytics, but Domo's Agent Catalyst goes further by enabling autonomous agent workflows beyond Q&A. The trade-off is cost: Power BI starts at $14/user/month and Tableau at $15/user/month, while Domo's enterprise-only pricing typically runs 5–10x higher per seat. Best fit if you want a single governed platform rather than a modern data stack.

Is Domo.AI suitable for small businesses?+

Generally no — Domo's pricing model, implementation complexity, and feature depth are oriented toward mid-market and enterprise organizations with 100+ employees and dedicated data teams. Small businesses are typically better served by tools like Power BI, Looker Studio (free), or Metabase, which offer self-serve pricing under $50/user/month. That said, Domo does serve some smaller fast-growing companies that anticipate scaling rapidly and want to avoid replatforming later. A free 30-day trial is available to evaluate fit before committing to an annual contract.
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What's New in 2026

Domo has expanded its AI suite around three flagship offerings highlighted on the current site: Agent Catalyst (no-code AI agent builder), AI Chat (natural language data querying), and Governed Agentic AI (enterprise framework for safely deploying autonomous AI). The platform now supports multi-LLM routing across OpenAI, Anthropic, Google, and open-source models, with centralized governance for compliance-sensitive deployments.

Alternatives to Domo.AI

Power BI

Analytics & Data Visualization

Business intelligence and data visualization platform for creating interactive dashboards and reports.

Thoughtspot

Data & Analytics

AI-powered agentic analytics platform enabling natural language data queries and self-service business intelligence

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Quick Info

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Website

www.domo.com/ai
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