How do you avoid biased models?

Bias testing is part of every retraining cycle, and we deliver explainability tools so risk and compliance teams can audit decisions.

Can we bring our own labeled data?

Yes. We bootstrap with your historical fraud labels and continue learning from the labels your operations team produces ongoing.

Financial Services / AI-Driven Fraud Detection Engine

AI-Driven Fraud Detection Engine

Q: How do you keep latency below 50ms?

Decisions are co-located with transaction flow, using in-memory feature stores and pre-compiled model artifacts. We design for the latency budget from day one.

We engineer real-time fraud detection engines that combine behavioral signals, graph analytics, and continuously retrained ML models — blocking real fraud while slashing false positives that frustrate good customers.

Talk to a Solution Engineer View Case Studies

<50ms

Decision latency end-to-end

40%

Reduction in false positives

Continuous

Active learning and model rollout

Trusted by global innovators

Industry Overview

AI-Driven Fraud Detection Engine: Engineered End-to-End

Fraud and customer experience used to be in tension. Modern fraud engineering — real-time graph analytics, behavioral biometrics, and continuously trained models — lets you protect your customers while keeping checkout, login, and onboarding effortless.

Industry Challenges

What Stops Most Teams From Solving This Today

Common friction points we hear from financial services teams scoping this kind of platform.

Rule-Set Decay: Static rules age fast and miss novel attack patterns within weeks.
False Positives: Aggressive rules block real customers, costing more in churn than they save in fraud.
Latency Limits: Many fraud platforms simply can't decide in the 50ms window modern UX demands.
Model Stagnation: Without continuous retraining, models drift behind real-world fraud trends.

Our Approach

Our Engineering Approach

We engineer for the operational reality — not the demo.

Real-Time Decision Engine

Sub-50ms decisions co-located with transaction flow — no out-of-band scoring.

Multi-Signal Fusion

Behavioral biometrics, device, network, and transaction signals scored together.

Continuous Active Learning

Models retrain weekly on labeled fraud, with safe canary rollout.

Capabilities

Production-grade features the platform ships with from day one.

Real-Time Scoring

Sub-50ms transaction risk scoring with full feature lineage.

Graph Analytics

Identity graph and money flow analytics surface coordinated fraud rings.

Behavioral Biometrics

Mouse, keystroke, and gesture patterns scored alongside transaction signals.

Device & Network

Device fingerprinting, IP reputation, and bot detection.

Case Management

Analyst workspaces with linked transactions, evidence, and disposition tools.

Continuous Retraining

Weekly retraining with canary rollout and challenger model evaluation.

Explainability

Per-decision feature importance and counterfactual explanations.

Reporting & Audit

Per-decision audit trail and regulator-friendly reporting.

How It Works

Reference Architecture

How data and decisions flow end-to-end.

Signal Ingestion

Transaction, device, behavioral, and network signals normalized at ingest.

Feature Store

Online and offline feature stores serving consistent features for scoring and training.

Decision Engine

Real-time scoring with rules, ML, and graph signals fused.

Case Management

Analyst workspaces and disposition tooling for human review.

Continuous Learning

Labeled outcomes flow back into retraining pipelines with safe rollout.

Engineering Stack

Technology Stack

A pragmatic stack chosen for reliability, speed, and ease of operation.

Real-Time Compute

RustGoFlinkMaterialize

ML

PyTorchXGBoostscikit-learnMLflow

Feature Store

FeastTectonCustom

Graph

Neo4jMemgraphTigerGraph

Signals

Behavioral SDKsDevice SDKsBot detection

Infra

KubernetesVaultTerraform

Measured Impact

Quantified outcomes from production deployments.

<50ms

Decision latency

40%

False positive reduction

$M+

Annual fraud losses prevented per customer

Weekly

Model retraining cadence

Bank Card Authorization Risk Engine

A mid-sized bank wanted to upgrade card authorization risk decisioning to reduce false positives without increasing fraud losses. We delivered a real-time decision engine integrated with their existing card processor.

First-year results: false positives dropped 40%, fraud losses fell 18%, and customer-facing 'card declined' complaints — a major call-center driver — fell by half.

Case Study

Use Cases

Where This Earns Its Keep

Common deployment patterns we see across customers.

Card Authorization

Real-time scoring during issuer authorization flow.

Account Onboarding

Synthetic identity and onboarding fraud detection.

Login & Account Takeover

Behavioral and device signals during login flows.

Wire & ACH Fraud

Real-time scoring for outgoing wire and ACH transactions.

Crypto & Stablecoin

Risk scoring for on-chain transactions and off-ramp flows.

Application Fraud

Loan and credit application risk scoring with synthetic identity detection.

Integrations

Integrates With Your Existing Stack

We connect to the systems your teams already know.

Payments

Stripe Radar

Networks

VisaMastercard

Banking

Plaid

Case Mgmt

Salesforce

ITSM

ServiceNow

Analytics

Snowflake

Compliance-First Development Services Backed by Global Standards

We build secure, scalable products designed for privacy, interoperability, and regulatory readiness from day one across every sector we serve.

General Data Protection Regulation

Implement lawful consent flows, data minimization, and secure processing for global data privacy.

Service Organization Control 2

Verified controls for security, availability, and confidentiality of enterprise data systems.

Information Security Management

Adhering to the international gold standard for managing information security risks.

Payment Card Industry (PCI DSS)

Securing payment transactions and protecting cardholder data with industry-best practices.

Our Edge

Why Global Leaders Choose Us

We combine deep technical expertise with industry-specific knowledge to deliver solutions that aren't just functional, but transformational.

Enterprise-Grade Security

We implement rigorous security protocols and compliance standards (HIPAA, GDPR, SOC2) across all industrial solutions to protect sensitive data.

High-Performance Scaling

Our architectures are built to handle massive data loads and user bases, ensuring seamless performance whether you're serving ten or ten million.

Accelerated Time-to-Market

Leveraging our suite of internal tools and proven frameworks, we reduce development cycles and get your product to market 40% faster.

Embedded AI Integration

Beyond simple wrappers, we build deep-learning integrations and predictive analytics directly into the core of your industry-specific workflows.

Engagement Model

Predictable, structured delivery from kickoff through long-term ownership.

Discovery & Scoping

We map the existing systems, constraints, and stakeholders to scope a focused 8–12 week first delivery.

Architecture & Pilot

A working slice on a representative environment — proving the data flow end-to-end before scaling.

Production Engineering

Hardened services, observability, access controls, and audit logging go live behind your IAM.

Operate & Iterate

We stay on as the embedded engineering team — closing tickets, tuning models, and shipping new value.

Voices of Success

We don't just build products; we forge lasting partnerships. See how we've helped industry leaders transform their vision into technical reality.

"I can clearly see how Agnotic has a unique way of handling end-to-end development. They are always active on quick chat and provide support quickly."

Aaron Phelan

Founder, Benchmark

"Agnotic is the best technical team we evaluated. Their engineering excellence made our work dramatically easier and allowed us to stay focused on what matters most for maternal care outcomes. They took full ownership of the technical execution, and we are always happy to continue working together."

Kim Smith

Founder, My Lauren

"Agnotic combines deep technical expertise with strong domain knowledge. They understand the business context, anticipate challenges, and make collaboration smooth and effective."

John Pasmore

Founder, Latimer

The Same Engineering Patterns, Across Other Industries

The technical patterns behind this platform translate naturally into adjacent verticals.

AI

Apply private LLM and predictive modeling to risk, compliance, and customer ops.

Energy

Trade environmental attributes and energy alongside traditional financial products.

Legal-tech

Pair contract intelligence with structured agreement management.

Frequently Asked Questions

Decisions are co-located with transaction flow, using in-memory feature stores and pre-compiled model artifacts. We design for the latency budget from day one.

Industries