Logiciel builds and operates streaming data platforms for large enterprises. Kafka, Confluent, MSK, Kinesis, Pub/Sub and Flink, packaged with schema management, exactly-once semantics, governance and on-call. We work alongside data platform, integration and product teams to make real-time data a stable foundation for analytics, AI and operations.

Book an Intro Call Common Questions

3 models

Engagement models for enterprise streaming

5 steps

Our enterprise streaming platform framework

Why Logiciel

Why Enterprise Streaming Platforms Get Stuck.

Why Logiciel · 01

The first team picks a stack that does not fit the next teams.

Why Logiciel · 02

Schema management is informal, so consumers break with every producer change.

Why Logiciel · 03

Exactly-once semantics are assumed, not designed.

Why Logiciel · 04

There is no shared platform layer, so each team builds their own ops practice.

Why Logiciel · 05

Costs grow quickly without a streaming-specific FinOps practice.

Why Logiciel · 06

The platform reports problems but nobody actually responds.

What you get

What You Get When You Work With Logiciel on Enterprise Streaming.

A reference streaming architecture that fits enterprise scale and operating reality.

Schema management with a registry and contracts, not informal coordination.

Exactly-once and idempotency patterns designed at the architecture level.

A platform layer with shared components for producers, consumers, observability and governance.

A FinOps practice tied to teams and use cases.

A managed operating layer with monitoring, on-call and incident response.

Technology

Enterprise Streaming Platform Solutions Built for Production.

Kafka and Confluent Platform Engineering

What it meansSelf-managed Kafka, Confluent Platform and Confluent Cloud implementations with shared platform components.

AWS MSK and Azure Event Hubs

What it meansMSK, Azure Event Hubs, Google Pub/Sub and equivalent managed streaming platforms.

Kinesis and Cloud-Native Streaming

What it meansKinesis Data Streams, Kinesis Firehose and equivalent cloud-native streaming patterns.

Flink and Stream Processing

What it meansApache Flink, Kinesis Data Analytics, ksqlDB and Spark Structured Streaming for stream processing.

Schema Management and Contracts

What it meansSchema registry implementation, contract testing and version management.

Change Data Capture

What it meansCDC pipelines from operational systems using Debezium, Fivetran, AWS DMS and similar tools.

Streaming Platform Governance

What it meansGovernance, access control, lineage and audit for streaming data platforms.

Streaming Observability and On-Call

What it meansMonitoring, observability and on-call for streaming platforms with KPIs tied to business impact.

Engagement

Engagement Models Designed for Streaming Data Platform Services for Enterprise Delivery.

Dedicated Streaming Platform Squad

A long-running team of streaming platform engineers, data engineers and reliability engineers embedded in your data platform function.

Engagement

Streaming Platform Advisory and Staff Augmentation

Senior streaming platform engineers who reinforce your in-house team during specific phases.

Engagement

Outcome-Based Streaming Engagements

Fixed-scope engagements, for example a Kafka platform build, a CDC rollout or a Flink streaming application.

Engagement

Under the hood

Enterprise Streaming Platform Services We Deliver.

Streaming Platform Strategy and Architecture

Reference architectures, maturity assessments and multi-year roadmaps for enterprise streaming platforms.

Included

Kafka and Confluent Platform Engineering

Self-managed Kafka, Confluent Platform and Confluent Cloud implementations.

Included

MSK, Event Hubs and Pub/Sub Implementation

Managed streaming platform implementations on AWS, Azure and Google Cloud.

Included

Stream Processing with Flink and ksqlDB

Apache Flink, Kinesis Data Analytics, ksqlDB and Spark Structured Streaming for stream processing.

Included

Schema Management and Data Contracts

Schema registry implementation, contract testing and version management.

Included

Change Data Capture Implementation

CDC pipelines from operational systems using Debezium, Fivetran, AWS DMS and similar tools

Included

Streaming Platform Governance

Governance, access control, lineage and audit for streaming data platforms.

Included

Streaming Observability and On-Call

Monitoring, observability and on-call for streaming platforms with KPIs tied to business impact.

Included

Technology

Streaming Data Platform Services for Enterprise Insights & Frameworks.

Patterns from our delivery teams that have run through real enterprise streaming deployments.

↳ Technology

Enterprise Streaming Platform Reference Architecture

A reference architecture for enterprise streaming platforms covering producers, consumers, schema, processing, governance and observability.

↳ Technology

Data Contract and Schema Pattern for Streaming

A practical pattern for schema management and data contracts across enterprise streaming platforms.

↳ Technology

Technology

Our Streaming Data Platform Services for Enterprise Framework.

Discovery and Streaming Assessment

We assess current streaming use, target use cases, integration points and operating practice.

Reference Architecture and Operating Model

We design the streaming architecture, schema strategy, platform layer and operating model.

Platform Build

We build the platform layer in code, with shared components, observability and governance.

Use Case Onboarding

We onboard the first producers, consumers and stream processing applications with SLAs and contracts.

Operate and Improve

We move into a steady-state operating model with monitoring, on-call and continuous improvement.

Selected work

Tailored engineering for your industry.

Zeme · Real Estate Cut 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 · Construction Scaled to 7-figure ARR with AI-augmented software teams.

Construction

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

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

Real Estate

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

Resources

Insights for tech leaders.

Framework · PDF

Bad Data Costs $12.9m A Year. Reverse ETL Syncs It Into The CRM.

Whitepaper · PDF

Building AI-Ready Healthcare Data Infrastructure: The 90-Day Roadmap from Staging Bottleneck to Production

Whitepaper · PDF

Building AI-Ready Data Foundations in Healthcare

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.

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

Patrick Fingles

CEO, Leap

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

Founder & CEO, Zeme

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

Co-Founder, JobProgress

Questions

Frequently asked questions.

What does Streaming Data Platform Services for Enterprise include?

We cover strategy, architecture, build, deployment and operations for Streaming Data Platform Services for Enterprise, aligned with your business priorities and operating constraints.

How long does Streaming Data Platform Services for Enterprise typically take?

Most engagements reach a working pilot within 4-8 weeks, while larger rollouts run across phased waves over several months.

Can Logiciel integrate Streaming Data Platform Services for Enterprise with our existing systems?

Yes. We integrate with cloud platforms, CRMs, ERPs, EHR, OT systems, analytics tools and other operational infrastructure depending on the use case.

Do you offer fixed-cost engagements for Streaming Data Platform Services for Enterprise?

Yes. We offer milestone-based pricing once scope, KPIs and delivery requirements are agreed.

Who owns the deliverables from a Streaming Data Platform Services for Enterprise engagement?

You retain ownership of all workflows, integrations, prompts, infrastructure, systems and implementation assets.

How do you handle governance and compliance for Streaming Data Platform Services for Enterprise?

We implement governance frameworks, observability, access controls, audit trails and compliance-aligned deployment practices.

How do you optimize cost for Streaming Data Platform Services for Enterprise?

We tune infrastructure, automate resource management, optimise deployment workflows and report operational cost back to teams and product lines.

Do you support ongoing operations after launch for Streaming Data Platform Services for Enterprise?

Yes. We run managed operations with SRE, observability, on-call and continuous improvement.

Let's build

Accelerate Streaming Data Platform Services for Enterprise.

Ready to put Streaming Data Platform Services for Enterprise on production-software footing? Partner with Logiciel to design, build and operate Streaming Data Platform Services for Enterprise that engineering, security and business teams can all defend.

Plan your enterprise streaming platform

Streaming Data Platform Services for Enterprise.

See Logiciel in action.

Why Enterprise Streaming Platforms Get Stuck.

The first team picks a stack that does not fit the next teams.

Schema management is informal, so consumers break with every producer change.

Exactly-once semantics are assumed, not designed.

There is no shared platform layer, so each team builds their own ops practice.

Costs grow quickly without a streaming-specific FinOps practice.

The platform reports problems but nobody actually responds.

What You Get When You Work With Logiciel on Enterprise Streaming.

Enterprise Streaming Platform Solutions Built for Production.

Kafka and Confluent Platform Engineering

AWS MSK and Azure Event Hubs

Kinesis and Cloud-Native Streaming

Flink and Stream Processing

Schema Management and Contracts

Change Data Capture

Streaming Platform Governance

Streaming Observability and On-Call

Engagement Models Designed for Streaming Data Platform Services for Enterprise Delivery.

Dedicated Streaming Platform Squad

Streaming Platform Advisory and Staff Augmentation

Outcome-Based Streaming Engagements

Enterprise Streaming Platform Services We Deliver.

Streaming Platform Strategy and Architecture

Kafka and Confluent Platform Engineering

MSK, Event Hubs and Pub/Sub Implementation

Stream Processing with Flink and ksqlDB

Schema Management and Data Contracts

Change Data Capture Implementation

Streaming Platform Governance

Streaming Observability and On-Call

Streaming Data Platform Services for Enterprise Insights & Frameworks.

Enterprise Streaming Platform Reference Architecture

Data Contract and Schema Pattern for Streaming

Our Streaming Data Platform Services for Enterprise Framework.

Discovery and Streaming Assessment

Reference Architecture and Operating Model

Platform Build

Use Case Onboarding

Operate and Improve

Tailored engineering for your industry.

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

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

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

Insights for tech leaders.

Bad Data Costs $12.9m A Year. Reverse ETL Syncs It Into The CRM.

Building AI-Ready Healthcare Data Infrastructure: The 90-Day Roadmap from Staging Bottleneck to Production

Building AI-Ready Data Foundations in Healthcare

What our clients say.

Frequently asked questions.

Accelerate Streaming Data Platform Services for Enterprise.