AI Business Intelligence You Can Actually Trust
AI Business Intelligence You Can Actually Trust
AI-generated charts, dashboards, and reports built on a governed semantic layer.
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“We evaluated Omni and other BI tools, but the speed to insight with Basedash is unmatched.”
Greg DemogeCo-founder & CPO · FullEnrichRead case study →
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Revenue
$28.3K+68%(16,800)
400300200100
Jul 1, 2026Jul 31, 2026
New subscriptions
Live
508+189%(176)
500250100
Jul 1, 2026Jul 31, 2026
CAC
14 wks
Burnrate
$32.5K
Cohort retention
457\-31%(659)
| Cohort | Week 1 | Week 2 | Week 3 | Week 4 | Week 5 | Week 6 | | ------ | ------ | ------ | ------ | ------ | ------ | ------ | | 1 | 248 | 200 | 140 | 108 | 64 | 25 | | 2 | 112 | 104 | 58 | 6 | 2 | 0 | | 3 | 168 | 124 | 94 | 76 | 12 | 1 | | 4 | 98 | 76 | 51 | 51 | 12 | 14 | | 5 | 102 | 155 | 114 | 0 | 0 | 2 |
Runway in years
2.4
LTV in years
0.8
Generate a dashboard showing our core growth KPIs
Ask anything about your business
Get instant answers, uncover important trends, and make confident decisions faster.
What were our top growth trends this week, and what should we do next?
ProductShow onboarding conversion rate compared to last month.Data & AnalyticsTrend key KPIs over time and flag abnormal spikes.MarketingAre we seeing a drop in lead volume year over year? Which months and segments are down?MarketingShow campaigns with delivery errors that still spent in the last 24 hours.OperationsFilter paid organizations and show their current usage details.SalesHow many leads are currently close to closing?EngineeringShow recent error logs and users impacted in the last week.EngineeringWhat are the most common errors this month, and what endpoints are causing them?SalesWhich accounts are likely to expand based on recent product activity?OperationsGive me a table of all new users with their signup source/medium.ProductWhich features correlate most with conversion to paid?EngineeringWhich services or endpoints have the highest error rates this week?EngineeringFetch IDs created in a given month for a specific provider or integration.MarketingWhich categories or segments contributed the most revenue or transactions?OperationsWhich customers have open issues tied to performance or reliability?EngineeringWhich SDK versions or app versions are most error-prone?MarketingList Google Ads campaigns and show CPC trends for each.MarketingWhat should be on a performance dashboard for our account managers?MarketingHow many deals or opportunities are in our current campaign from a specific region?SalesWhich organizations that have not converted to paid are the most active?ProductIdentify the magic moment that predicts long-term engagement.ProductWhat is our WAU/MAU and how is it trending?MarketingWhat is our blended cost per lead and cost per acquisition by channel?MarketingWhich geographies are performing best this quarter by pipeline and closed-won?EngineeringHow many auth configs or connected accounts exist for provider X?ProductShow onboarding conversion rate compared to last month.Data & AnalyticsTrend key KPIs over time and flag abnormal spikes.MarketingAre we seeing a drop in lead volume year over year? Which months and segments are down?MarketingShow campaigns with delivery errors that still spent in the last 24 hours.OperationsFilter paid organizations and show their current usage details.SalesHow many leads are currently close to closing?EngineeringShow recent error logs and users impacted in the last week.EngineeringWhat are the most common errors this month, and what endpoints are causing them?SalesWhich accounts are likely to expand based on recent product activity?OperationsGive me a table of all new users with their signup source/medium.ProductWhich features correlate most with conversion to paid?EngineeringWhich services or endpoints have the highest error rates this week?EngineeringFetch IDs created in a given month for a specific provider or integration.MarketingWhich categories or segments contributed the most revenue or transactions?OperationsWhich customers have open issues tied to performance or reliability?EngineeringWhich SDK versions or app versions are most error-prone?MarketingList Google Ads campaigns and show CPC trends for each.MarketingWhat should be on a performance dashboard for our account managers?MarketingHow many deals or opportunities are in our current campaign from a specific region?SalesWhich organizations that have not converted to paid are the most active?ProductIdentify the magic moment that predicts long-term engagement.ProductWhat is our WAU/MAU and how is it trending?MarketingWhat is our blended cost per lead and cost per acquisition by channel?MarketingWhich geographies are performing best this quarter by pipeline and closed-won?EngineeringHow many auth configs or connected accounts exist for provider X?
SalesWhich accounts are a churn risk?Data & AnalyticsIdentify top entities (e.g., products, practices, segments) by net earnings or volume.ProductWhich product areas are slowing users down (timeouts, latency, error-prone steps)?SalesList all workspaces with an upcoming renewal in the next month.ProductAre there any features we added recently that increased engagement?EngineeringFind domains or metadata for a list of organizations from builder records.Data & AnalyticsBreak down counts by type (categories, forms, service items) and show percentages.MarketingWhich campaigns or channels drove the most leads and conversions this month?SalesWhat accounts had the largest expansions this quarter?OperationsWhich tickets are trending by category and time to resolution?OperationsShow customers with at least two visits or repeat usage in the last month.EngineeringMake table links open detailed views in our admin tool.SalesWhat should a sales-facing dashboard include for quick qualification and follow-up?OperationsWhich customers are running into more bugs recently?OperationsSurface users who recently hit errors or experienced slow response times.ProductShow retention by cohort and first-usage month.ProductWhich cohorts have the highest week-8 retention?ProductDid anything else spike when a specific feature usage increased?SalesWho are the most engaged accounts in the last 14 days?MarketingWhat is our CAC?Data & AnalyticsHow many records/jobs/tasks were created or submitted in a given timeframe?SalesWhich opportunities are stuck beyond the expected stage duration?Data & AnalyticsBuild a quick-start KPI dashboard with filters and best-practice layout.Data & AnalyticsPull IDs or names for items matching a keyword across connected sources.Data & AnalyticsShow me revenue and subscription growth.SalesWhich accounts are a churn risk?Data & AnalyticsIdentify top entities (e.g., products, practices, segments) by net earnings or volume.ProductWhich product areas are slowing users down (timeouts, latency, error-prone steps)?SalesList all workspaces with an upcoming renewal in the next month.ProductAre there any features we added recently that increased engagement?EngineeringFind domains or metadata for a list of organizations from builder records.Data & AnalyticsBreak down counts by type (categories, forms, service items) and show percentages.MarketingWhich campaigns or channels drove the most leads and conversions this month?SalesWhat accounts had the largest expansions this quarter?OperationsWhich tickets are trending by category and time to resolution?OperationsShow customers with at least two visits or repeat usage in the last month.EngineeringMake table links open detailed views in our admin tool.SalesWhat should a sales-facing dashboard include for quick qualification and follow-up?OperationsWhich customers are running into more bugs recently?OperationsSurface users who recently hit errors or experienced slow response times.ProductShow retention by cohort and first-usage month.ProductWhich cohorts have the highest week-8 retention?ProductDid anything else spike when a specific feature usage increased?SalesWho are the most engaged accounts in the last 14 days?MarketingWhat is our CAC?Data & AnalyticsHow many records/jobs/tasks were created or submitted in a given timeframe?SalesWhich opportunities are stuck beyond the expected stage duration?Data & AnalyticsBuild a quick-start KPI dashboard with filters and best-practice layout.Data & AnalyticsPull IDs or names for items matching a keyword across connected sources.Data & AnalyticsShow me revenue and subscription growth.
Governed metrics for every AI answer
Give the AI approved SQL definitions to reuse across chat, charts, and dashboards.
MRR
Verified
Monthly recurring revenue from active subscriptions.
1select
2 date\_trunc('month', created\_at)
3 as month,
4 sum(amount) as mrr
5from subscriptions
6where status \= 'active'
7group by month
How is our MRR trending?
MRR by month
Verified
$83.3K
FebMarAprMayJunJul
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Your data stays yours
The controls your security team expects, from day one.
Explore securityView compliance
Security posture
All controls enforced
SOC 2 Type II
Audited annually with continuous monitoring.
Encryption everywhere
Data encrypted in transit and at rest.
Never trains on your data
Customer data is never used to train models.
Role-based access
RBAC and row-level security on every source and metric.
SSO and SCIM
Single sign-on (SAML, OIDC) with SCIM provisioning.
Cloud or self-hosted
Deploy inside your own network boundary.
Audit log
Live
SSO sign-in · [\[email protected\]](https://www.basedash.com/cdn-cgi/l/email-protection) · Okta · SAML
09:41:07
AI query · grounded in governed metrics
09:41:32
Row-level policy · applied · region = EMEA
09:41:58
Access denied · finance.payroll · no grant
09:42:16
SCIM sync · 3 users provisioned from Okta
09:42:43
SQL traced · query reviewed and re-run
09:43:11
Dashboard shared · viewer role · read-only
09:43:40
Key rotation · AES-256 at rest
09:44:05
Metric updated · MRR · definition v12
09:44:37
Audit export · streamed to SIEM
09:45:02
SSO sign-in · [\[email protected\]](https://www.basedash.com/cdn-cgi/l/email-protection) · Okta · SAML
09:45:29
AI chart · built from trusted metrics
09:45:56
SSO sign-in · [\[email protected\]](https://www.basedash.com/cdn-cgi/l/email-protection) · Okta · SAML
09:41:07
AI query · grounded in governed metrics
09:41:32
Row-level policy · applied · region = EMEA
09:41:58
Access denied · finance.payroll · no grant
09:42:16
SCIM sync · 3 users provisioned from Okta
09:42:43
SQL traced · query reviewed and re-run
09:43:11
Dashboard shared · viewer role · read-only
09:43:40
Key rotation · AES-256 at rest
09:44:05
Metric updated · MRR · definition v12
09:44:37
Audit export · streamed to SIEM
09:45:02
SSO sign-in · [\[email protected\]](https://www.basedash.com/cdn-cgi/l/email-protection) · Okta · SAML
09:45:29
AI chart · built from trusted metrics
09:45:56
FAQ
What is an AI-native business intelligence platform?
An AI-native business intelligence (BI) platform uses natural language processing to let teams query databases, generate dashboards, and explore analytics without writing SQL. Basedash lets teams ask questions in plain English and turn answers into dashboards, automations, and shared workflows quickly. It covers the full data stack in one product — storage, data syncing, a semantic layer for trusted metrics, and the BI and reporting on top — so analytics stay consistent from raw data to final dashboard. The result is faster time-to-insight with less manual query work and fewer handoffs between teams.
Why does Basedash include a built-in semantic layer?
Basedash includes a built-in semantic layer so teams can define important metrics once as reusable SQL definitions, then let AI chat, charts, dashboards, insights, automations, and the SQL editor reference the same approved logic. It is different from a standalone modeling layer because the metric catalog lives directly inside the BI workflow where questions are asked. Teams can still use dbt or warehouse models for transformations, then use Basedash definitions for governed business metrics that need to stay consistent across every report.
How is Basedash different from traditional BI tools like Metabase or Tableau?
AI-native BI is significantly faster and less brittle than traditional BI for day-to-day analytics work. Traditional tools often depend on SQL-heavy workflows, manual dashboard setup, and multiple rounds of query iteration before teams get a usable answer. Basedash reduces that friction by moving from plain-English prompt to governed chart quickly, so teams ship dashboards in minutes instead of waiting on longer setup cycles.
How is Basedash different from AI tools like ChatGPT or Claude Code?
General AI tools are useful for brainstorming, but Basedash is purpose-built for production analytics. Basedash connects directly to your real data stack, understands your database schema, tables, and metric definitions, and returns answers grounded in governed sources. It is designed for teams with shared dashboards, reusable metrics, role-based access controls, and deployment options that match security and compliance requirements. The result is faster time-to-insight with more consistent and trustworthy answers.
What data sources does Basedash support?
Basedash supports 750+ integrations across databases, warehouses, and SaaS tools, including PostgreSQL, MySQL, Snowflake, BigQuery, Salesforce, HubSpot, Stripe, and Google Analytics. Teams can connect their existing stack directly and keep analysis grounded in governed business data. You can explore the full integration catalog and source categories on the data sources page.
How does Basedash prevent hallucinations and ensure AI analysis is accurate?
Basedash is designed to prioritize accuracy in production analytics. Instead of generating freeform answers, it translates natural language into structured queries that are validated and executed directly against your connected databases or warehouses. Responses are grounded in your actual schema, tables, and governed metric definitions. Generated queries can be reviewed, traced to underlying data, and re-run for verification. By constraining AI within your real data environment and enforcing shared definitions and access controls, Basedash combines AI speed with the reliability of traditional BI systems. On BI Bench, our public benchmark of AI data analyst agents, Basedash is the most accurate tool tested.
Is Basedash secure for production and enterprise use?
Basedash is designed for production and enterprise environments with concrete security controls, including SOC 2 Type II compliance, encryption in transit and at rest, and strict data access boundaries. Customer data is never used to train models. Teams can enforce role-based access controls, single sign-on (SSO with SAML and OIDC), SCIM user provisioning, and native audit logs, define trusted metrics, and deploy in self-hosted or VPC-based environments to meet internal network and compliance requirements. See our compliance page for SOC 2, HIPAA, ISO 27001, and GDPR details. This allows organizations to adopt AI-native analytics without compromising their existing security posture.
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