Margin / live profitability layer

Core finance questions require data engineering to answer.

Margin connects your data, parses your contracts, and builds the live profitability models needed to answer them.

Planning
Pending

Define user segments and identify key metrics

Analysis
Pending

Process data streams and identify patterns

Recommendations
Pending

Generate actionable insights with projected impact

Backed by experts from

Cash App
SumUp
Ramp Network
Better Tomorrow Ventures
World
Stripe
EWOR

Millions are left on the table in basic finance questions.

The blocker is data engineering: joining systems, parsing contracts, and writing reconciliation logic at transaction level. Finance teams already know what to ask.

01

Who are my most profitable customers?

02

If I change pricing, what happens to profit?

03

Are we billing what the contract says?

Every finance exec's personal data engineer.

Connect your warehouse, build live finance models, and answer profitability questions on the same day they're asked.

01

Connect and clean your messy data.

Warehouse, contracts, billing, CRM, and accounting data become a finance-ready layer your team can query.

Snowflake warehouseLive

1.2b rows synced

Pricing agreementsMapped

847 parsed

Billing ledgerClean

$14.28M reconciled

GL exportsChecked

$127 variance

02

Build live finance models.

Finance brings the operational context. Margin turns it into cost attribution, revenue reconciliation, and customer P&L logic.

Cost attributionModel

94.1% complete

Revenue reconciliationModel

642k txns matched

Customer profitabilityModel

12,418 accounts

Contract termsRules

Tier logic applied

03

Answer profitability questions.

Run customer, pricing, vendor, and revenue analyses against numbers that stay tied to source data.

Customer profitabilityAnswer

$5.74M CM

Pricing impactAnswer

+4.8 pts margin

Cost driversAnswer

73.6% support mapped

Board outputsExport

Source-linked

Four minutes, end to end.

From a raw warehouse and a stack of contracts to a reconciled customer P&L.

Numbers you can defend to a board.

Figures trace to source rows and models reconcile against the GL. Gaps in the data show up before any number leaves finance.

01

Every number, fully explainable.

Trace figures back to the contract clause, invoice, transaction, and model rule behind them.

Customer #1042 / Contribution margin

$5,739

40.2%
Revenue$14,280
Onboarding-$3,184
Processing-$3,990

Agreement 4.2 / volume tier applied

642k transactions billed / matches contract

02

Verify every model before you rely on it.

Check logic against your GL, validate samples, and surface gaps before numbers reach a report.

Cost attribution model

Reconciles to GLDelta $127
All costs attributed94.1%
Vendor C invoices missingFlagged

Verified / 1 data gap flagged

03

See the quality of your finance data.

Coverage is mapped per model. Flagged invoices, missing contracts, and pending digitization are visible without asking.

Revenue97.4%
Processing fees100%
Vendor COGS94.1%
Support73.6%
Mgmt P&L89%

Gaps: Vendor C Q4 invoices, 3 contracts pending digitization.

Built for regulated financial services.

Read-only access by default, audited controls, and deployment patterns finance and compliance teams have already cleared.

End-to-End Encryption

Encrypted

Data encrypted in transit and at rest using AES-256

Access Controls

SSO / RBAC

Role-based access control with SSO integration

Audit Logging

Logged

Detailed audit trails for all system activities

Team Management

Granular

Granular user permissions and team controls

Network Security

Private

VPC peering and private endpoints

Monitoring

Active

24/7 security monitoring and alerts

SOC 2 Type II Badge

Verified controls

SOC 2 Type II

Security and privacy controls for service organizations.

Visit Trust Center

See it run against your data.

Bring a question you've been trying to answer. We'll walk through the model Margin would build for it.

30 minutes / built around your warehouse