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.
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.
Behavioral Intelligence
Every cardholder has a pattern. Sayfin reads it across every transaction.
Continuous Learning
Every outcome improves the model. The system never stops learning.
Revenue Recovery
Recover revenue your current infrastructure is leaving behind.
Static rules lose money.
Consistently.
Every signal 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.
Ingest & Unify
Aggregate payment, identity, issuer, and acquirer data into a unified signal stream.
Predict & Route
Behavioral AI scores approval probability in under 15ms.
Optimize Continuously
Every outcome feeds the model. Issuer shifts trigger automatic recalibration.
When the buyer is
not a human.
Agentic commerce operates at machine speed. Small inefficiencies compound rapidly.
In autonomous transaction systems, approval variance increases cost exposure and workflow failure. Infrastructure that does not model outcomes probabilistically will underperform.
Decision intelligence becomes structural, not optional.
Machine-initiated transactions, routed intelligently.
Autonomous agents place orders, manage subscriptions, and trigger payment flows without human input. Every transaction needs predictive routing, at machine speed.
15ms routing
Agents cannot wait. Sayfin routes at machine speed, every time.
Agent identity
Cryptographic verification for every autonomous caller.
Behavioral modeling
Models agent spend patterns the same way it models humans.
Protocol agnostic
Works across every agentic payment protocol, now and future.
Built for complex payment environments.
Your infrastructure is missing a layer.
PSPs
Lift authorization rates across your entire client base. Instantly.
Acquirers
Maximize approval yield from your network with probabilistic routing.
PayFacs
Protect revenue across your merchant portfolio at every transaction.
Issuers
Reduce false decline friction for your cardholders. Improve approval flow.
Orchestration
Make every routing decision intelligent by default. Not by configuration.
Agentic Commerce
AI-native infrastructure for autonomous, machine-initiated transactions.
Infrastructure that gets smarter
with every decision.
No rule updates. No threshold tuning. No manual retraining.
The inefficiency is measurable.
Live in days.
Zero infrastructure replacement.
One API call. Your existing stack stays intact. Full fail-safe if unreachable.
Non-Intrusive
One API endpoint sits between your PSP gateway and acquirer routing. Nothing else changes.
Fail-Safe
If Sayfin is unreachable, transactions route normally through your existing path. Always.
Progressive
Start in shadow mode. Validate predictions. Scale from 1% to 100% with measured uplift.
Integration
Single API endpoint. HMAC-SHA256. Python and TypeScript SDKs. Your stack stays intact.
Model Training
Ingest historical logs. Train a dedicated model on your exact traffic patterns.
Shadow Mode
Live predictions. Zero production impact. Compare our routing vs. yours.
Go Live
1% to 100%. Scale with measured uplift. Pay only when we perform.
One endpoint.
Milliseconds.
HMAC-SHA256 authentication. Python and TypeScript SDKs. Full 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.
Get Started
Stop leaving revenue
on the table.
Let us prove what predictive intelligence can do for your authorization rates.