Turn your data warehouse into governed internal tools — built by the people who use them, trusted by the people who run on them.
Seed round · 2026·Confidential
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The problem
Companies run on internal tools that nobody trusts.
Operations lives in spreadsheets, Retool one-offs, and Slack threads. Every change is a data-team ticket — and the backlog is measured in weeks.
40%
of data-team time spent on internal CRUD apps instead of analysis1
3.2 wks
median wait for an ops tool change to ship through engineering
11
disconnected internal tools at the average 200-person company
"Half my analysts are now a help desk for the ops team. We can't hire our way out of it."
— Head of Data, Series-B logistics company
The solution
Northwind makes the warehouse operable.
Connect Snowflake, BigQuery, or Postgres. Operators build the tools they need on live, governed data — no engineering ticket, no data copy, no shadow database.
⌘
Build
Drag-and-drop apps over live tables. Forms, queues, approvals, dashboards — writing back to the warehouse safely.
⛨
Govern
Row- and column-level policies, SSO, and a full audit log. Who changed what, when, and why — by default.
↺
Trust
Every app and every write is versioned. Preview changes, ship behind approval, roll back in one click.
↓ how a write actually flows
How a write flows
Governed by construction.
An operator action is a policy-checked, audited, reversible transaction — not a raw SQL update.
# northwind policy — refund_queue.app
write refunds:
table: finance.refunds
who: role in [ops_lead, finance] # SSO group
guard: amount <= 500 or approval(finance_manager)
audit: actor, before, after, reason # always on
rollback: enabled # one click, any version
Operator→Policy check→Approval→Warehouse write→Audit + version
The market
Internal tooling is a budget line, not a niche.
Spend is shifting from build-it-yourself and low-code point tools toward governed, warehouse-native platforms.
SOM
SAM
TAM
$48B TAM Internal tools + analytics applications, worldwide
$9B SAM Mid-market warehouse-native app tooling
$420M SOM Obtainable in 3 years at current motion
Bottom-up: ~60,000 mid-market companies on a cloud warehouse × ~$40K ACV.
Sources: company estimates triangulated from Gartner low-code & dbt Labs warehouse-adoption figures. 1 Northwind discovery research, n=30.
Traction
Pulling, not pushing.
Live since January. Twelve design partners, five paying, zero churn — and expansion inside every paying account.
$182K
ARR
22%
MoM growth (last 4 mo.)
131%
net revenue retention
0
logos churned
$4KJan
$6KFeb
$9KMar
$12KApr
$15KMay
$18KJun
Monthly recurring revenue · 2026
Trusted by ops & data teams atCargoflowMeridian HealthTess & Co.Halyard LabsBrightline
The ask
Raising a $4M seed to reach $2M ARR.
18 months of runway to a Series-A-ready business: repeatable GTM, SOC 2, and warehouse-native depth no point tool can match.
Use of funds
Engineering & product60%
Go-to-market25%
Security & ops15%
Milestones to Series A
$2M ARR · 40 paying accounts
Self-serve onboarding, < 1-day time-to-value
SOC 2 Type II & enterprise SSO/SCIM
BigQuery + Databricks connectors GA
Team: Priya Nair (CEO, ex-Stripe payments infra) & Marcus Hale (CTO, ex-Looker query engine). Together we've shipped governance tooling to thousands of teams.
Northwind
Let's make the warehouse operable.
We'd love to walk you through a live build on your own schema.