AI TOOL PROFILE
DataviCloud Review: Revenue Intelligence Software
- Sales
- Analytics and Reporting
- Sales Teams
- Revenue Operations (RevOps) teams
- B2B Data teams
- SaaS businesses
Pricing
Paid plans start at $139/month for Startup/Solo, with Growth at $349/month, Pro at $799/month, and Enterprise at $1499/month. Optional add-ons include Outreach Seats ($79/month) and MEDDIC Autofill ($145/month).
At a glance
- Best for
- Sales Teams, Revenue Operations (RevOps) teams, B2B Data teams, SaaS businesses
- Key use cases
- Consolidating Fragmented Data, Automating Lead Research, Managing Net Revenue Retention, Ad-hoc Business Querying
- Integrations
- Salesforce, HubSpot, Gong, Mixpanel, Amplitude
- Official website
- Visit DataviCloud official website
How AI is used
DataviCloud is a revenue intelligence platform designed to help B2B sales, RevOps, and data teams manage revenue data. It works by ingesting data from various sources—including billing, product analytics, and CRM signals—into a unified identity graph to provide a comprehensive view of the revenue pipeline.
The software includes specialized AI agents: LEO focuses on lead enrichment and intent signals, while EXPAND monitors usage patterns to identify potential upsell or churn risks. It also features Qurie, a conversational analytics tool that allows users to query business data using natural language.
For buyers, the platform is designed to support revenue forecasting and deal risk detection. Because it relies on aggregating data from many different tools, buyers should confirm that their current data stack is compatible and that they have the internal resources to manage the data unification process.
Key Features
Unified Identity Graph
Ingests and cleans data from 400+ sources to help remove silos and create a single source of truth.
LEO AI Agent
Supports lead enrichment by identifying buying signals and intent data for targeting.
EXPAND AI Agent
Analyzes product usage patterns to trigger automated upsell plays and flag churn risks.
Qurie Conversational Analytics
A natural-language interface that allows users to ask business questions and receive visualized answers.
Revenue Forecasting
Uses AutoML and unified data to provide predictive insights into revenue and pipeline gaps.
Deal Risk Detection
Identifies potential risks in the pipeline to help teams course-correct using data-backed planning.
Use Cases
Consolidating Fragmented Data
Unifying signals from CRM, product, and billing tools into one view for revenue reporting.
Automating Lead Research
Using AI to enrich leads with intent data to identify accounts in active-buy mode.
Managing Net Revenue Retention
Monitoring product usage in real time to identify expansion opportunities and prevent churn.
Ad-hoc Business Querying
Using natural language to find specific insights, such as identifying high-usage accounts that are under-spent.
Integrations
- Salesforce
- HubSpot
- Gong
- Mixpanel
- Amplitude
FAQ
How is DataviCloud different from a standard CRM?
- While a CRM acts as a history library, DataviCloud unifies signals from CRM, product, and billing data to support predictive forecasting and automated targeting.
Does the team need SQL or data science skills to use the platform?
- No, the platform includes a feature called Qurie that allows users to ask business questions in natural language to get visualized answers.
What are the pricing options for DataviCloud?
- Pricing ranges from a Startup/Solo tier at $139/month up to an Enterprise tier at $1499/month, with additional paid options for outreach seats and MEDDIC autofill.
Source category: Sales
Source subcategory: Analytics & Reporting
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