FINBOUTIQUE
B2B / Data / FinTech / AI

Data-driven solutions for financial systems

Big data analysis, payment flow optimization and scoring model development for precise business decisions

Scroll

Software solutions for data processing and analytics

We combine classical engineering and modern AI approaches to build systems that work with real-world data in financial environments.

0+
Completed
projects
0%
Model
accuracy
0/7
Technical
support

Patterns in complex data

We uncover hidden patterns in financial and operational data arrays

Financial flow optimization

We increase processing efficiency and reduce operational costs

Data-backed decisions

Scalable solutions based on accurate data, not intuition

Three areas
of expertise

Each direction is a full cycle from analysis to implementation

01

Big Data Analytics

Processing and analyzing large data volumes. Building data pipelines and analytical systems for real-time decision making.

Learn more
02

Payment Analytics

Payment flow analysis, fraud detection and processing optimization. Reducing fraud levels and increasing approval rates.

Learn more
03

Scoring Models

Building scoring models and risk engines. Credit scoring, risk assessment and automated decision-making.

Learn more

A stack that scales

We use proven enterprise solutions to build reliable systems

Backend

High-performance server solutions

PythonPython
Python
JavaJava
Java
GoGo
Go

Big Data

Distributed processing and analytics

SparkSpark
Spark
KafkaKafka
Kafka
HadoopHadoop
Hadoop

ML / AI

Machine learning and neural networks

TensorFlowTensorFlow
TF
PyTorchPyTorch
PyTorch
scikit-learnscikit-learn
scikit

Cloud

Cloud infrastructure and DevOps

AWS
GCPGCP
GCP
K8sK8s
K8s

Results you
can
measure

Our solutions deliver concrete business results reflected in financial metrics.

Fraud detection Approval analytics Cost optimization dashboard Data accuracy visualization

Fraud reduction

Real-time fraudulent transaction detection with minimal false positives

Approval rate

Higher approval rates through more accurate scoring models

Cost optimization

Reducing operational costs through process automation

Decision accuracy

Data-driven approach instead of intuitive decisions for critical business processes

From analysis
to results

1

Task analysis

Deep dive into business context and requirements definition

2

Data Assessment

Evaluating available data and determining the approach

3

Development

Iterative development with regular feedback

4

Integration

Deployment into the client's existing infrastructure

5

Support

Monitoring, optimization and 24/7 technical support

Tell us about your challenge —
we'll propose a solution

Free consultation on data-driven optimization opportunities for your business

Get in touch

Let's discuss
your project

Fill out the form — we'll respond within one business day