MRR · All plans
VerifiedSelf-serve BI, embedded analytics, ETL, managed warehouse, and a semantic layer. Everything you need for AI analytics, in one purpose-built platform.
Revenue overview
New signups by channel
VerifiedTop accounts
Verified| Account | Plan | MRR | Δ 30d | Seats | |
|---|---|---|---|---|---|
| 1 | Northcurrent | Enterprise | $156,000 | +4% | 2,100 |
| 2 | Lumenwave | Enterprise | $135,250 | -6% | 1,800 |
| 3 | Copperleaf Labs | Enterprise | $119,500 | +11% | 1,575 |
| 4 | Fieldstone Ops | Growth | $71,500 | 0% | 1,150 |
| 5 | Quillbase | Growth | $53,000 | +9% | 950 |
| 6 | Verdantly | Growth | $48,500 | -3% | 775 |
| 7 | Alderpoint | Growth | $44,000 | +7% | 725 |
| 8 | Harborline | Starter | $24,500 | +14% | 450 |
| 9 | Driftmark | Starter | $21,000 | -8% | 350 |
| 10 | Sablewood | Starter | $18,000 | +2% | 300 |
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Powering analytics for 5000+ teams worldwide
“We evaluated Omni and other BI tools, but the speed to insight with Basedash is unmatched.”
Greg Demoge
Co-founder & CPO · FullEnrich
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“For a security-conscious company like ours, Basedash instantly clicked. Reports that took weeks are ready in hours.”
Claudio Godoy
AI Agents Lead · Taxfyle
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Self-serve analytics
Anyone on your team can ask a question in plain English and get a chart, a dashboard, or a straight answer. Every result is built on your governed definitions and shows the SQL behind it, so you get full auditability and traceability.
What was net revenue retention by segment last quarter?
Analyzed for 38s
Net revenue retention was 112% in Q3, up from 106% in Q2. Enterprise drove most of the lift at 121%, while self-serve held flat at 98%.
NRR by segment, last four quarters
Proactive analytics
Agents watch your metrics around the clock, flag what moved and why, and post the brief to Slack or email. Schedule recurring reports, or trigger them the moment your data changes. Monitor your business the way you monitor production.
Trial-to-paid conversion is down 18% since Tuesday
The drop is concentrated in iOS signups after the 4.2 release, where 41% of new trials never finish onboarding. Android and web are flat.
BasedashAPP8:02 AM
Today's insight: trial-to-paid conversion is down 18% since Tuesday, driven by iOS signups after the 4.2 release.
View insightEmbedded analytics
Embed dashboards and AI chat in your product with a few lines of React. White-label it to your brand, scope every customer to their own rows with JWT SSO, and give users self-serve analytics without pulling engineers off the roadmap.
On-time delivery
96.2%
+1.4%
Cost per parcel
$4.18
−3.2%
Parcels by carrier, weekly
Ask about your shipments
Which carrier was late most often in September?
UPS, with 6.4% of parcels arriving late, mostly on West Coast routes. FedEx was late on 2.1%.
Show late parcels by route
<BasedashProvider fetchToken={getToken}>
<BasedashDashboards />
<BasedashChat />
</BasedashProvider>Fully interoperable
Connect Claude, ChatGPT, or Cursor over MCP, call the REST API from your own apps, or ask in Slack. Every path runs on the same models and permissions, so your data stays governed and you're never locked in.
$ claude mcp add basedash --transport http \
https://charts.basedash.com/api/public/mcp
✓ Connected to basedash
> Why did trial conversion drop this week?
● basedash · ask_question
Using models.trials (verified)
Trial-to-paid is down 18% since Tuesday,
concentrated in iOS signups after the
4.2 release. Android and web are flat.// .cursor/mcp.json
{
"mcpServers": {
"basedash": {
"url": "https://charts.basedash.com/api/public/mcp"
}
}
}
✓ basedash enabled in Agent
Ask about your data from the editor.Build a dashboard of weekly signups by channel.
Used Basedash · create_dashboard
Done. Weekly signups by channel is live in Basedash, with signups, conversion, and spend by channel over the last 12 weeks.
Open in Basedashcurl -X POST \
".../organizations/$ORG_ID/chats?wait=60" \
-H "Authorization: Bearer $BASEDASH_API_KEY" \
-d '{"message": "Why did trial conversion drop?"}'
201 Created
{ "data": { "assistantMessage": {
"text": "Trial-to-paid is down 18% since
Tuesday, concentrated in iOS signups..."
} } }“No migration, no setup project — we pointed Basedash at our databases and just started asking questions.”
Rahul Behal
Co-founder · Gumloop
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“As a non-technical founder, I pull answers across our database, PostHog, and Stripe myself — no engineers needed.”
Jeffrey Zhao
Co-founder · Ordinal
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Semantic layer and context
Define metrics, segments, and business logic once in reusable models, or pull in your existing dbt projects. Add skills and team context, and the AI keeps what it learns from every conversation, so each answer starts from what your company already knows.
- Measure
- mrr
- Dimension
- plan
- Segment
- active
Used by chat, 6 dashboards, and 2 insights
Skill · Finance
Revenue analysis
Report revenue net of refunds, by fiscal quarter.
Remembered
Fiscal year starts on February 1.
Learned from a chat with Priya
Managed warehouse
Connect a source and Basedash provisions a managed DuckDB warehouse that keeps every table synced, structured, and ready for agents to query, with storage that scales and point-in-time recovery. Already on Snowflake, BigQuery, or Databricks? Connect it instead.
Data ingestion
Pull in Salesforce, HubSpot, Stripe, Shopify, and hundreds more without building a pipeline. Authenticate once and Basedash keeps every table fresh in your warehouse, or connect your own databases and warehouses directly.
Security and governance
When everyone queries their own Claude, nobody can see what was asked or check what came back. Basedash centralizes AI usage in one governed place: every question runs under your permissions, lands in your audit log, and shows the data behind its answer.
AI usage by member
See who uses AI and how much, with an optional spending cap.
Audit logs
Access, query, and config events, streamed to your SIEM.
Sources on every answer
Each answer lists the tables, definitions, and SQL behind it.
Approval for writes
AI-run write queries need explicit approval before they run.
SSO and SCIM
SAML 2.0 and OIDC, with user and group sync.
Row-level security
Role-based access plus per-user and attribute-based rows.
SOC 2 Type II
Audited annually. Customer data never trains models.
Self-hosting
Your VPC, air-gapped if needed, with your own model keys.