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About Contact Us
AI-first engineering

Realtime Data Pipeline Development Services.

Logiciel builds real-time data pipelines that capture, process, transform, and deliver data with sub-second latency. From streaming architectures to event-driven systems, pub/sub pipelines, CDC frameworks, and real-time analytics, we engineer data infrastructure that powers modern AI systems, dashboards, and customer-facing applications.

Get started

See Logiciel in action.

Tell us what you're building and we'll take it from there.

8 services
Realtime data pipeline services we deliver
5 steps
How Logiciel works with you
01

Modern businesses operate in real time. Batch processing slows you down:

02

Real-time pipelines deliver:

03

Real-Time Pipelines

Why Logiciel

Why Real-Time Pipelines Matter.

Why Logiciel · 01

Analytics & decision-making

Why Logiciel · 02

Anomaly detection & AI inference

Why Logiciel · 03

Live product updates & notifications

Why Logiciel · 04

Event-driven automation & workflows

Why Logiciel · 05

Instant insights & dashboards

Why Logiciel · 06

AI/ML-ready data streams

Why Logiciel · 07

High-volume, fault-tolerant ingestion

Why Logiciel · 08

Operational reliability & data freshness

In focus

Our Realtime Data Pipeline Services.

Kafka, Kinesis, Pulsar, DynamoDB Streams, EventBridge

Outcomes: reliable, high-throughput ingestion

Stream processors, enrichment, aggregation, retries

Tools: Flink, Spark Streaming, Lambda

Outcomes: clean, transformed, actionable data

Sync databases in real time for microservices, search, ML updates

Tools: Debezium, AWS DMS, Kafka Connect

Parsing, enrichment, validation, anomaly detection

Tools: Spark Structured Streaming, Flink, AWS Glue

QuickSight, Grafana, Kibana, custom dashboards

Instant visibility & better decision-making

Elasticsearch, OpenSearch, Pinecone, Weaviate

Low-latency indexing for improved user experience

Streaming inference, embeddings, RAG context injection

Tools: SageMaker, MLflow, Triton Server

Lag, throughput, error tracking, alerts, schema evolution

Tools: Datadog, Prometheus, CloudWatch

What we build

How Logiciel Works With You.

01

Architecture Design

Define SLAs, tools, throughput, cost

What we build
02

Implementation

Build ingestion, processing, storage, serving

What we build
03

Validation

Load testing, monitoring setup, failure simulation

What we build
04

Optimization

Tune partitions, throughput, cost, resilience

What we build
05

Scaling & Evolution

Expand pipelines, ML, analytics layers

What we build
Why Logiciel

Why Logiciel.

01

Expert in real-time systems & streaming architectures

↳ Why Logiciel
02

AWS + Kafka + Flink + Spark Streaming specialists

↳ Why Logiciel
03

Proven enterprise-scale pipelines handling millions of events/day

↳ Why Logiciel
04

Strong AI/ML integration capability

↳ Why Logiciel
05

Performance, resilience & observability-first approach

↳ Why Logiciel
Selected work

Tailored engineering for your industry.

Zeme · Real EstateCut development costs 50% and launched 3× faster with dedicated dev teams.
Real Estate

Cut development costs 50% and launched 3× faster with dedicated dev teams.

Leap · ConstructionScaled to 7-figure ARR with AI-augmented software teams.
Construction

Scaled to 7-figure ARR with AI-augmented software teams.

KW · Real Estate56M+ workflows automated, saving agents 30% time with AI-powered tasks.
Real Estate

56M+ workflows automated, saving agents 30% time with AI-powered tasks.

In their words

What our clients say.

Teams that needed to ship fast, and did. Here's what partnering with Logiciel felt like from the inside.

Patrick Fingles

I would highly recommend them to anyone looking to scale quickly or needing support in engineering, product, or QA.

Patrick Fingles
Patrick Fingles
CEO, Leap
Elior Alayev

We don't just call them Logiciel; they're part of the Zeme team. Within the first week they were contributing meaningfully to our codebase.

Elior Alayev
Elior Alayev
Founder & CEO, Zeme
David Buzzelli

The Logiciel team worked tirelessly and built everything we needed, with security and best practices across our entire platform. It allowed us to become #1 in our industry, and we couldn't have done it without them.

David Buzzelli
David Buzzelli
Co-Founder, JobProgress
Questions

Frequently asked questions.

Do you handle both real-time and batch pipelines?

Yes, hybrid architectures are common.

Can you migrate our pipelines from legacy ETL systems?

Yes, modernizing brittle ETL is a core specialization.

How many events per second can your pipelines handle?

Designed for enterprise scale (from thousands to millions of EPS).

Can you integrate AI with real-time pipelines?

Absolutely, embeddings, inference, anomaly detection, and RAG.

What tools do you use for real-time pipelines?

Kafka, Kinesis, Flink, Spark Streaming, Lambda, Debezium, Redis, more.

Let's build

Build Real-Time Pipelines That Power AI, Analytics & Modern Applications.

Start your real-time data engineering transformation today.