Your business,
thinking as one.

Databasin turns everything your company knows into decisions, actions, and momentum. Connect what you already run. Ask in plain English. The answer comes back with the query attached, so you can check it before you send it to anybody.

›Why did gross margin drop in July?

41.2%↓ 3.8 pts

Freight and duty at the Ohio distribution center account for 2.9 of those points. The rest is product mix.

Sage IntacctSalesforce

The query behind it 
select m.period,
       round(100.0 * (m.revenue - m.cogs) / m.revenue, 1) as margin_pct,
       round(100.0 * m.freight_duty / m.revenue, 1)       as freight_pts
from gold.margin_monthly m
where m.site = 'OH-DC' and m.period in ('2026-06', '2026-07')
order by m.period

›Which customers are at risk of churning?

14accounts

Usage down and support volume up for sixty days running. Together they carry $1.9M of recurring revenue, and nine of them renew before December.

SalesforceHubSpot

The query behind it 
select count(*)                                   as accounts,
       sum(a.arr)                                as arr_at_risk,
       count(*) filter (where a.renewal_date < '2026-12-01') as renewing_soon
from gold.account a
join gold.usage_rollup u on u.account_id = a.account_id
join gold.ticket_rollup t on t.account_id = a.account_id
where u.trend_60d < 0 and t.trend_60d > 0

›What changed in payroll this quarter?

+6.1%headcount flat

Overtime is 78% of the increase, and almost all of it sits in Clinical Operations. Headcount did not move.

Workday

The query behind it 
select p.quarter, d.department,
       sum(p.total_pay)    as cost,
       sum(p.overtime_pay) as overtime,
       sum(p.headcount)    as heads
from gold.payroll_detail p
join gold.department d on d.department_id = p.department_id
where p.quarter in ('2025-Q4', '2026-Q1')
group by p.quarter, d.department order by overtime desc

$50 credit · No card · Leave whenever you like. We won't call you.

75+ connectors · An open lakehouse you own · Or run the whole thing inside your own Azure tenant

Built in production, not in a pitch deck.

Databasin runs today in regulated healthcare, research, finance and insurance. Customers are anonymised because of the sectors they work in. The numbers are not.

$2M+
Annual savings across deployed customers
12,500
Staff hours returned to the business each year
$750K
Clinical operations savings at a single health system
18%
Higher grant proposal success rate at a research institution

What used to take weeks or sometimes even months now happens in minutes.

Chief Financial OfficerAcademic medical research institution

It thinks as one because it ships as one.

Connectors, pipelines, an open Apache Iceberg lakehouse, the semantic model and the agents are one product on one meter, integrated the day you sign in. That is the whole reason a single person gets to an answer.

  1. 1

    Connect something you already run

    Sage Intacct, Salesforce, Workday, your SQL Server, or seventy-odd others. Sign in, pick what you want, set a schedule. There is nothing to deploy and nothing to write.

  2. 2

    The model arrives with it

    Around 30 sources come already modelled: schemas mapped, relationships declared, business-ready views built and ready to query. This is the part that normally takes a quarter. The other sources take longer, because somebody has to actually sit down and look at them.

  3. 3

    Ask, then check the answer

    Questions resolve against approved definitions instead of a guess at your column names, and every answer comes back with the SQL underneath it. If a number looks wrong you can find out why in about ten seconds. That is the difference between a report you send and a report you sit on.

The long version, if you want it: how it works · what it costs · security and deployment · what it replaces

Bring one system.
Watch the rest fall in behind it.

Just your email. We build the workspace and send your sign-in link.

$50 credit · No card · Or talk to a co-founder