The context layer
for modern fintech.
Every transaction carries context. Pay cycles, allocation context, holding posture. Neumetria turns that into signals your product or agent can read, so the moment to act, or the moment to wait, is clear.
Consumer fintech solved access.
Understanding is the open layer.
Anyone can open an account, connect their data, see their balance, and move money. The layer that reads what the behavior means, cadence, drift, posture in real time, rarely exists outside the largest institutions. Neumetria builds it.
Illustrative. Onboarding abandonment and weak day-30 retention are well-documented across consumer fintech. The data to explain them already exists. The interpretation of what it means rarely does.
Raw transactions. Interpreted context.
Clear signal.
amount: 52.40
time: 2026-04-19 10:30
day: Sat
merchant: WHOLEFDS MKT #10847
category: Essential groceries
temporal: Sat morning
cycle: Payday +1d
cadence: Weekly rhythm
signal: grocery cadence,
rhythm: weekly,
cycle: payday +1d,
stability: 0.78
}
From signal to surface.
One engine. Three domains.
Cards. Transfers.
Allocation. Tenor.
Posture. Concentration.
Eight surfaces where
context changes the product.
Each surface is a different expression of the same engine. Different signal, different product move, different metric moved.
Recognize the first moment that matters.
Most fintech apps treat every new user the same. Neumetria reads the first ninety days as a pattern, not a funnel, so the product can engage only when engagement will land.
Read the drift before it becomes churn.
Cadence drops. Intensity shifts. Behavior drifts. These patterns show up in the stream long before a user opens the app less. The product responds with context, not reminders.
Segments are a convenience. Behavior is not.
Cohort averages tell the product what a group looks like on paper. Neumetria replaces that with live contextual signals, so the product can personalize without reducing the user to a persona.
Products that show, not sell.
Transparency isn't a brand posture. It's a retention instrument. Operators who surface cost-exposure moments renew longer, dispute less, and earn regulatory goodwill the market prices in. Neumetria feeds the product the moments worth showing; your product does the showing; the compounding shows up on the P&L.
One engine. Three balance sheets.
Deposits at banks. AUM at brokerages. Holdings at exchanges. The same inflow context, expressed across three surfaces, at the moment capacity actually becomes available.
Read cash flow before you commit.
The bureau file is fixed. Cash flow is live. Neumetria reads income rhythm, recurring load, and spending stability before origination so lenders can underwrite with context alongside credit history.
The file is static. The borrower is not.
The credit file is fixed at approval. The behavior on the line is not. Neumetria reads the post-origination stream so lending products can engage borrowers at the moments the line actually matters.
Payments that know the window.
Open Banking payments carry none of the behavioral context card networks built over decades. Neumetria routes confidence, timing, and legitimacy into the payment layer before a request is made.
The language your product reads.
A partial view. Signals return synchronously, versioned, with interpretation metadata.
Clear about the line.
Neumetria is infrastructure for fintech products. It does not make financial decisions. Your product does.
What Neumetria is not
- × A financial advisor
- × A robo-advisor
- × A credit decisioning engine
- × An investment platform
- × A tool that advises, approves, or denies
- × A payment processor or payment initiator
What Neumetria is
- ✓ A behavioral intelligence layer
- ✓ B2B infrastructure for fintech products
- ✓ A reader of transaction streams in context
- ✓ A source of product-shaped signals
- ✓ A layer under your decisions, not instead of them
A focused surface. Synchronous where it matters.
One endpoint for send. One endpoint for read. Light-weight context returns in-line. Deeper profiles compute in the background and are fetched when the product needs them.
What integration looks like.
// response { "actor_id": "a_4f2a9e...", "as_of": "2026-04-18T09:41:00Z", "window": "90d", "context": { "spending": { "cadence": "biweekly_dining", "stability": 0.91, "temporal": "post-payday" }, "investment": { "contribution_cadence": "monthly_recurring", "holding_posture": "lengthening", "allocation_shape": "equity_weighted" }, "crypto": { "stablecoin posture": 0.62, "hold_duration": "medium" }, "behaviors": [ "leisure_dining", "disciplined_accumulation", "stablecoin holding" ] }, "confidence": 0.92 }
Building in Fintech?
Let's Talk.
Patent pending. Built for regulated environments. Designed to embed via API or MCP, into your product or your agent.