Here are the key ideas behind DataVox. No technical background needed — these are explained in business terms.
Data sources — the systems you already use
A data source is any system DataVox connects to. These are the tools your organization already runs:
| Type | Examples |
|---|
| Sales & CRM | Salesforce, HubSpot |
| Finance & ERP | SAP, Oracle, NetSuite |
| Data warehouses | Snowflake, Databricks, BigQuery |
| Operational tools | Jira, Zendesk, ServiceNow |
| Spreadsheets | Excel, Google Sheets, CSV files |
Cross-source answers — one question, all your systems
This is the core capability. Most business questions require data from more than one system. Today, that means someone has to pull data from each system separately and combine it manually.
DataVox does this automatically. You ask one question, and it pulls from whichever systems have the relevant data — all at once.
Example: “Which customers have growing revenue but declining support satisfaction?”
That answer requires data from your CRM (revenue) and your support system (satisfaction scores). DataVox pulls from both and gives you one answer.
Trained on your data — not generic AI
This is what separates DataVox from generic AI chatbots. Before you start using it, DataVox is trained specifically on your organization’s data:
- Your terminology — what “MQL,” “net revenue,” or “active customer” means at your company
- Your business rules — how you calculate metrics, what qualifies as a lead, how departments are structured
- Your system relationships — how data in your CRM relates to data in your ERP
This training is why DataVox gives accurate answers instead of guesses. It understands your business the way your best analyst does.
This training happens during setup and whenever you add new data sources. It doesn’t require ongoing effort from your team.
Questions and answers — how you interact
You use DataVox by typing questions in plain English, the same way you’d ask a colleague:
- “What were our top-performing products in the Southeast last quarter?”
- “Show me customers with overdue invoices who haven’t been contacted in 30 days.”
- “How does this quarter’s pipeline compare to the same period last year?”
DataVox returns a clear, formatted answer — tables, charts, and numbers pulled from your actual systems. Every answer shows which systems the data came from, so you know exactly what you’re looking at.
Answers are designed to be decision-ready. You should be able to read the answer and act on it without asking anyone to verify or reformat.
Predictions — what’s likely to happen next
DataVox doesn’t just tell you what already happened. It can also look forward:
| What you can ask | What DataVox does |
|---|
| ”What’s our revenue forecast for Q3?” | Projects future values based on your historical trends |
| ”Which accounts are at risk of churning?” | Identifies customers showing early warning signals |
| ”Are there any unusual patterns in our spend this month?” | Flags numbers that don’t match expected patterns |
On your infrastructure — your data stays with you
DataVox runs entirely on your own servers. This means:
- No company data is sent to external cloud services
- No third-party AI providers process your information
- Your existing security policies and access controls still apply
- Compliant with data regulations (GDPR, HIPAA, SOX, industry-specific rules)
This is especially important for financial services, healthcare, government, and any organization with strict data security requirements. Most AI analytics tools fail security review because they send data to the cloud. DataVox passes by design.
Next steps
