RS
Revent Systems
Enterprise-grade data engineering, science & analytics

Turn your data exhaust
into real business outcomes.

Revent Systems helps fintechs, agrotechs, insurtechs, oil & gas operators, and credit providers design, build and run modern data platforms that power decisions, products and risk models.

From raw events to reliable dashboards
Production-grade infrastructure
Live Data Processing
Processing
Ingestion1.2M events
Processing & Validation
Quality: 99.2%Latency: <45ms
Transformationdbt models
Finance
Risk
Ops
Business InsightsReady
ML Model Predictions
Active
Precision
94%
Recall
91%
F1-Score
92%
Credit Risk
23%
Conf: 85%
Fraud Detection
87%
Conf: 90%
Churn Prediction
94%
Conf: 95%
Events/secLive
1.2M
Peak: 90%events
LatencyLive
< 50ms
Peak: 97%ms
UptimeLive
99.9%
Peak: 104%%
Tech Stack
KafkaSnowflakedbtPython
Platform Architecture

Data Platform Blueprint

A streamlined architecture for transforming raw events into actionable insights

1.2M/min
01
Collect & Stream

Ingestion

Event collection, CDC, messaging and streaming from source systems into a durable central layer.

Kafka
CDC
Events
Processing
1.2M/min
02
Warehouse & Lake

Storage

Modeled, well-governed storage for analytics, ML and regulatory reporting with full lineage tracking.

Snowflake
S3
Delta
Processing
99.2% quality
Raw
Clean
Model
Quality: 99.1%
03
Semantic Models

Transformation

Business-ready marts for finance, risk, operations, growth and product with automated quality checks.

dbt
SQL
Python
Processing
&lt;50ms latency
Risk
Score
Alert
Conf: 94%
04
Serving & APIs

Activation

Dashboards, ML APIs, reverse ETL and alerts into the tools your teams use daily.

APIs
BI Tools
ML
Processing
94% accuracy

Pragmatic Approach

Whether you're on-prem, multi-cloud or just starting with a single warehouse, we help you design for reliability, observability and change.

Proven Outcomes

  • Faster time-to-insight
  • Fewer broken dashboards
  • ML-ready platform
  • Regulatory compliance
Services

What we do

Full-stack data engineering, data science and analytics tailored to your domain.

01

Data Engineering

Design and build robust data platforms: event collection, ETL/ELT pipelines, data modeling, warehouses and lakes that scale with your transaction volume.

Event Streaming
Data Modeling
Pipeline Orchestration
1.2M
throughput
<50ms
latency
99.2%
quality
02

Data Science & AI

Credit scoring, fraud detection, churn prediction, pricing and optimization models backed by reproducible experiments and MLOps best practices.

ML Models
Experiments
Feature Engineering
94%
accuracy
91%
precision
89%
recall
03

Analytics & BI

KPI design, self-serve dashboards and executive reporting that give teams a single source of truth on performance and risk.

Dashboards
KPI Design
Reporting
50+
dashboards
200+
users
99.9%
uptime
04

MLOps & Infrastructure

Production-ready ML pipelines, model serving, feature stores, and monitoring systems that ensure your models perform reliably at scale.

Model Serving
Feature Stores
Monitoring
25+
models
<10ms
serving
99.8%
reliability
05

Data Governance

Data quality frameworks, lineage tracking, compliance automation, and privacy controls that build trust in your data assets.

Lineage
Quality
Compliance
100%
coverage
99.5%
quality
100%
compliance
06

Real-time Analytics

Stream processing, event-driven architectures, and low-latency dashboards that enable instant decision-making from live data streams.

Stream Processing
Event-Driven
Low Latency
500+
streams
<5ms
latency
2M/s
throughput

Ready to unlock the value in your data?

Email hello@reventsystems.com with a short description of your stack and use cases.

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