Q3 revenue reached $1.42M overall, beating target by 8.4%. The primary driver was Enterprise SaaS growth (18% above plan), which offset a slight 3% lag in Professional Services.
| Line | Revenue | Target |
|---|---|---|
| Enterprise SaaS | $840k | $710k |
| Pro Services | $380k | $390k |
| Self-Serve | $200k | $210k |
Type a question the way you'd ask a colleague and Data Explorer figures out the right query, runs it, and answers.
Every response comes with a written explanation, the underlying data, and a visualization.
Data Explorer watches your data and surfaces what changed, what's trending, and what deserves attention.
Get dashboards generated automatically from your data, then rearrange and tailor each view to your operation's exact needs.
Set up recurring reports once and let them deliver themselves on the cadence you choose — direct to Slack, email, or webhook.
Point Data Explorer at your database, and it learns your data structure so questions map to the right tables automatically — no modeling project, no manual setup. It works across any database: point-of-sale, inventory, logistics, customer, financial, operational.
Select and link your database credentials in 1 minute. Read-only secure access guarantee.
Data Explorer maps table relationships, columns, and metric contexts automatically.
Ask plain-English questions, construct real-time dashboards, and schedule automated reports.
Connect your database and your whole team can ask questions, get insights, and build dashboards without SQL, and without waiting on a data team.
Explore use case
Pair Data Explorer with your platform to give customers full AI-driven exploration, custom dashboards, automatic insights, and scheduled reports — under your brand.
Explore use case
Supports fully customizable white-label branding. Blend Data Explorer seamlessly into your own platform with your custom logo, customized color variables, fonts, and UI overrides to maintain a native look.
Data stays within its own isolated secure workspace, never shared across models or customers. Read-only architectures ensure Data Explorer cannot modify your tables, and sources can be disconnected instantly.
Get in touch with our solutions engineering team to map out your architecture and see Data Explorer on your own schema.
