AI-Native Business Intelligence

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Greg Demoge

Co-founder & CPO · FullEnrich

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AI Agents Lead · Taxfyle

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Revenue

$28.3K +68% (16,800)

400 300 200 100

Jun 1, 2026 Jun 30, 2026

New subscriptions

Live

508 +189% (176)

500 250 100

Jun 1, 2026 Jun 30, 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.

Data & Analytics Break down counts by type (categories, forms, service items) and show percentages. Product Which features correlate most with conversion to paid? Engineering Which SDK versions or app versions are most error-prone? Marketing Which categories or segments contributed the most revenue or transactions? Operations Surface users who recently hit errors or experienced slow response times. Product Which cohorts have the highest week-8 retention? Sales Who are the most engaged accounts in the last 14 days? Sales What should a sales-facing dashboard include for quick qualification and follow-up? Marketing What is our blended cost per lead and cost per acquisition by channel? Data & Analytics Identify top entities (e.g., products, practices, segments) by net earnings or volume. Marketing List Google Ads campaigns and show CPC trends for each. Engineering Show recent error logs and users impacted in the last week. Product Did anything else spike when a specific feature usage increased? Sales How many leads are currently close to closing? Engineering How many auth configs or connected accounts exist for provider X? Marketing What should be on a performance dashboard for our account managers? Product Identify the magic moment that predicts long-term engagement. Operations Which customers have open issues tied to performance or reliability? Product Are there any features we added recently that increased engagement? Marketing How many deals or opportunities are in our current campaign from a specific region? Marketing What is our CAC? Operations Show customers with at least two visits or repeat usage in the last month. Engineering What are the most common errors this month, and what endpoints are causing them? Sales Which organizations that have not converted to paid are the most active? Product What is our WAU/MAU and how is it trending? Data & Analytics Break down counts by type (categories, forms, service items) and show percentages. Product Which features correlate most with conversion to paid? Engineering Which SDK versions or app versions are most error-prone? Marketing Which categories or segments contributed the most revenue or transactions? Operations Surface users who recently hit errors or experienced slow response times. Product Which cohorts have the highest week-8 retention? Sales Who are the most engaged accounts in the last 14 days? Sales What should a sales-facing dashboard include for quick qualification and follow-up? Marketing What is our blended cost per lead and cost per acquisition by channel? Data & Analytics Identify top entities (e.g., products, practices, segments) by net earnings or volume. Marketing List Google Ads campaigns and show CPC trends for each. Engineering Show recent error logs and users impacted in the last week. Product Did anything else spike when a specific feature usage increased? Sales How many leads are currently close to closing? Engineering How many auth configs or connected accounts exist for provider X? Marketing What should be on a performance dashboard for our account managers? Product Identify the magic moment that predicts long-term engagement. Operations Which customers have open issues tied to performance or reliability? Product Are there any features we added recently that increased engagement? Marketing How many deals or opportunities are in our current campaign from a specific region? Marketing What is our CAC? Operations Show customers with at least two visits or repeat usage in the last month. Engineering What are the most common errors this month, and what endpoints are causing them? Sales Which organizations that have not converted to paid are the most active? Product What is our WAU/MAU and how is it trending?

Sales Which accounts are likely to expand based on recent product activity? Operations Give me a table of all new users with their signup source/medium. Marketing Which campaigns or channels drove the most leads and conversions this month? Product Show retention by cohort and first-usage month. Data & Analytics Build a quick-start KPI dashboard with filters and best-practice layout. Marketing Which geographies are performing best this quarter by pipeline and closed-won? Data & Analytics How many records/jobs/tasks were created or submitted in a given timeframe? Data & Analytics Show me revenue and subscription growth. Product Which product areas are slowing users down (timeouts, latency, error-prone steps)? Engineering Fetch IDs created in a given month for a specific provider or integration. Operations Which customers are running into more bugs recently? Data & Analytics Trend key KPIs over time and flag abnormal spikes. Engineering Which services or endpoints have the highest error rates this week? Engineering Find domains or metadata for a list of organizations from builder records. Sales Which accounts are a churn risk? Sales What accounts had the largest expansions this quarter? Data & Analytics Pull IDs or names for items matching a keyword across connected sources. Operations Which tickets are trending by category and time to resolution? Sales List all workspaces with an upcoming renewal in the next month. Marketing Show campaigns with delivery errors that still spent in the last 24 hours. Sales Which opportunities are stuck beyond the expected stage duration? Operations Filter paid organizations and show their current usage details. Product Show onboarding conversion rate compared to last month. Marketing Are we seeing a drop in lead volume year over year? Which months and segments are down? Engineering Make table links open detailed views in our admin tool. Sales Which accounts are likely to expand based on recent product activity? Operations Give me a table of all new users with their signup source/medium. Marketing Which campaigns or channels drove the most leads and conversions this month? Product Show retention by cohort and first-usage month. Data & Analytics Build a quick-start KPI dashboard with filters and best-practice layout. Marketing Which geographies are performing best this quarter by pipeline and closed-won? Data & Analytics How many records/jobs/tasks were created or submitted in a given timeframe? Data & Analytics Show me revenue and subscription growth. Product Which product areas are slowing users down (timeouts, latency, error-prone steps)? Engineering Fetch IDs created in a given month for a specific provider or integration. Operations Which customers are running into more bugs recently? Data & Analytics Trend key KPIs over time and flag abnormal spikes. Engineering Which services or endpoints have the highest error rates this week? Engineering Find domains or metadata for a list of organizations from builder records. Sales Which accounts are a churn risk? Sales What accounts had the largest expansions this quarter? Data & Analytics Pull IDs or names for items matching a keyword across connected sources. Operations Which tickets are trending by category and time to resolution? Sales List all workspaces with an upcoming renewal in the next month. Marketing Show campaigns with delivery errors that still spent in the last 24 hours. Sales Which opportunities are stuck beyond the expected stage duration? Operations Filter paid organizations and show their current usage details. Product Show onboarding conversion rate compared to last month. Marketing Are we seeing a drop in lead volume year over year? Which months and segments are down? Engineering Make table links open detailed views in our admin tool.

AI answers from your trusted metrics

Define your metrics once, and Basedash uses them to build reports you can trust.

MRR

Verified

Monthly recurring revenue from active subscriptions.

1 select

2 date_trunc('month', created_at)

3 as month,

4 sum(amount) as mrr

5 from subscriptions

6 where status = 'active'

7 group by month

How is our MRR trending?

MRR by month

Verified

$83.3K

JanFebMarAprMayJun

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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, reports, 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.

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.

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), 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. This allows organizations to adopt AI-native analytics without compromising their existing security posture.

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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

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

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