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Payment Ecosystem Intelligence

Your payments stack
deserves wisdom.

Sayfin delivers behavioral intelligence and predictive execution across the payment stack, enabling real-time decisions for both traditional commerce and autonomous transaction systems.

<15ms Sub-15ms execution
Live Always learning
Zero Non-intrusive deployment
Stack Portfolio-level impact
What We Do

The layer your stack
has been missing.

Sayfin sits invisibly between your infrastructure and the network. It reads signals no rule can model. It decides in milliseconds.

Predictive Decisioning

Real-time probability scoring across every acquirer, before you route.

<15ms

Behavioral Intelligence

Every cardholder has a pattern. Sayfin reads it across every transaction.

Per-client model

Continuous Learning

Every outcome improves the model. The system never stops learning.

Auto-retraining

Revenue Recovery

Recover revenue your current infrastructure is leaving behind.

+20-40%
Behavioral Intelligence

Every signal in your DNA - connected.
In real time.

Sayfin weaves cardholder behavior, geographic signals, BIN intelligence, MID patterns, frequency, velocity, and acquirer dynamics into a single probabilistic view. Live, for every transaction.

1

Ingest & Unify

Aggregate payment, identity, issuer, and acquirer data into a unified signal stream.

2

Predict & Route

Behavioral AI scores approval probability in under 15ms.

3

Optimize Continuously

Every outcome feeds the model. Issuer shifts trigger automatic recalibration.

Payment Data
Orders Data
Identity Data
BIN / GEO
Issuer Behavior
Acquirer Setups
Performance Data
Sayfin
SAYFIN
ARR RECOVERY
WITH SAYFIN $2,465,172
Agentic Commerce

When the buyer is
an AI agent.

Agentic commerce operates at machine speed. Transactions are initiated by autonomous software agents rather than human checkout flows.

Small inefficiencies that were tolerable in human payments compound rapidly when systems transact autonomously. Approval variance becomes cost exposure. Execution latency breaks automated workflows. Infrastructure designed for human commerce begins to fail under machine velocity.

Decision intelligence becomes structural.

Live Infrastructure

Machine-initiated transactions, executed intelligently.

Autonomous agents place orders, manage subscriptions, procure resources, and trigger payments without human input. Each transaction requires predictive decisioning at machine speed, across an increasingly fragmented payment ecosystem.

Emerging standards

Visa Intelligent Commerce Mastercard Agent Pay OpenAI ACP Google Agent Commerce Stripe Agent Toolkit Shopify Agent APIs PayPal AI Checkout
Explore Agentic Commerce

15ms execution

Autonomous systems cannot wait. Sayfin evaluates outcomes and executes decisions in milliseconds.

Agent identity

Cryptographic verification and credential integrity for autonomous buyers.

Behavioral modeling

Agent spend patterns evolve just like human behavior. Sayfin models those dynamics continuously.

Protocol agnostic

Compatible with emerging agent payment standards and traditional payment rails.

Pre-Auth Intelligence

Stop paying for failures
you could have predicted.

Every retry attempt carries a network fee, interchange cost, and customer friction penalty. Sayfin scores approval probability before you route - so you only send transactions that will succeed.

Without Sayfin
TXN_8f2k9d £2,847
Attempt 1 Acquirer A FAILED +$0.23
Attempt 2 Acquirer B FAILED +$0.23
Attempt 3 Acquirer C FAILED +$0.23
⚠ Declined - Customer churned
TXN_3a9xp1 £890
Attempt 1 Acquirer B FAILED +$0.23
Attempt 2 Acquirer A FAILED +$0.23
⚠ Declined - Revenue lost
Wasted retry fees $0.00
VS
With Sayfin
Analyzing signals BIN · GEO · Velocity · Behavior
Probability scored
Acquirer C
94.3%
Acquirer A
71.4%
Acquirer B
43.1%
Routed → Acquirer C APPROVED 7.2ms · No retry · $0 wasted
Retry fees saved $0.00
<15ms Pre-auth decision latency
+2–7% Approval lift, average across deployments
20–40% Soft declines recoverable pre-attempt
$0 Wasted retry fees on predicted failures
The Cost of Static

Static rules lose money.
Consistently.

Soft declines are recoverable. Unlike hard declines, soft declines represent real customers whose transactions can be routed correctly. 60–70% can be recovered with probabilistic intelligence.
Involuntary churn compounds the loss. Subscription failures from soft declines silently erode MRR. Every failed retry is a customer you lose without knowing why.
Static rules cannot adapt. Issuer behavior shifts in real time. Rule-based routing can't keep pace. Every change requires a human to intervene.
Silos blind the entire stack. Each PSP sees only its own data. No cross-network intelligence. No pattern recognition across issuers or BINs.
Live acquirer probability scores
Acquirer A
94.3% Best
Acquirer B
87.1%
Acquirer C
71.4%
Acquirer D
52.0%
High Value Recurring New User Trusted Signal Nodes
Learning Flywheel

Infrastructure that gets smarter
with every decision.

No rule updates. No threshold tuning. No manual retraining.

Models recalibrate continuously from live outcomes.
Each client runs on a dedicated model. Cross-client structural learning accelerates convergence, without data leakage.
The system compounds. Your stack does not stagnate.
Ecosystem

Built for complex payment environments.

Your infrastructure is missing a layer.

PSPs

Lift authorization rates across your entire client base. Instantly.

Payment Service Providers

Acquirers

Maximize approval yield from your network with probabilistic routing.

Acquiring Banks

PayFacs

Protect revenue across your merchant portfolio at every transaction.

Payment Facilitators

Issuers

Reduce false decline friction for your cardholders. Improve approval flow.

Issuing Banks

Orchestration

Make every routing decision intelligent by default. Not by configuration.

Orchestration Platforms
Integration

Live in days.
Zero infrastructure replacement.

One API call. Your existing stack stays intact. Full fail-safe if unreachable.

01

Non-Intrusive

One API endpoint sits between your PSP gateway and acquirer routing. Nothing else changes.

No infrastructure replacement
02

Fail-Safe

If Sayfin is unreachable, transactions route normally through your existing path. Always.

Zero risk. Always on.
03

Progressive

Start in shadow mode. Validate predictions. Scale from 1% to 100% with measured uplift.

You only pay when we perform
01
Day 1–3

Integration

Single API endpoint. HMAC-SHA256. Python and TypeScript SDKs. Your stack stays intact.

02
Day 4–7

Model Training

Ingest historical logs. Train a dedicated model on your exact traffic patterns.

03
Week 2

Shadow Mode

Live predictions. Zero production impact. Compare our routing vs. yours.

04
Week 3–4

Go Live

1% to 100%. Scale with measured uplift. Pay only when we perform.

Developers

One endpoint.
Milliseconds.

HMAC-SHA256 authentication. Python and TypeScript SDKs. Full REST API.

POST /v1/route REST API
// Request
{
  "transaction_id": "txn_8f2k9d",
  "amount": 284700,
  "currency": "GBP",
  "card_bin": "483204",
  "merchant_id": "mer_xyz"
}

// Response · 7.2ms
{
  "route": {
    "acquirer": "acquirer_b",
    "probability": 0.943,
    "confidence": "high"
  },
  "alternatives": [
    { "acquirer": "acquirer_a", "probability": 0.871 },
    { "acquirer": "acquirer_c", "probability": 0.714 }
  ],
  "latency_ms": 7.2
}

Single endpoint

POST /v1/route. That is the integration.

HMAC-SHA256

Request signing for every call. Secure by default.

Python + TypeScript SDKs

Native libraries. Async-first. Fully typed.

Feedback loop

POST /v1/feedback closes the learning loop automatically.

Sub-15ms p95

7.2ms average. 58ms cold start. Embedded inference.

Python TypeScript REST Webhooks
Get Started

Stop leaving revenue
on the table.

Let us prove what predictive intelligence can do for your authorization rates.