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About Contact Us
AI-first engineering

Data Engineering for Real Estate for Real Estate.

Logiciel builds data platforms and pipelines for real estate companies. Brokerages, REITs, CRE operators and PropTech. MLS feeds, property management, leasing, accounting, CRM and IoT data, delivered by engineers who work exclusively in real estate data. We work alongside your data, finance, operations and product teams to build a platform that real estate operations and PropTech products can rely on.

Get started

See Logiciel in action.

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

6 platforms
Yardi, MRI, Entrata, RealPage, AppFolio, Buildium
6 deliverables
What you get from real estate data engineering
Why Logiciel

Why Generalist Data Partners Struggle in Real Estate.

Why Logiciel · 01

Property, unit, lease and tenant identity is not a generic master data problem.

Why Logiciel · 02

Yardi, MRI, Entrata, RealPage, AppFolio and Buildium do not behave like generic SaaS systems.

Why Logiciel · 03

MLS feeds change format without notice and need real estate-specific monitoring.

Why Logiciel · 04

Investor reporting and asset reporting follow real estate-specific cadences.

Why Logiciel · 05

PropTech product workloads have very different SLAs from operational analytics.

Why Logiciel · 06

Generalist data engineers spend weeks learning what real estate-focused engineers already know.

What you get

What You Get When You Work With Logiciel on Real Estate Data.

01

Engineers who have shipped through Yardi, MRI, Entrata, RealPage, AppFolio, Buildium and MLS pipelines more than once.

02

A unified data model for properties, units, leases, tenants, transactions and revenue.

03

A lakehouse architecture that supports investor reporting, operational dashboards and PropTech products at the same time.

04

Data quality, lineage and SLAs that finance and operations will actually quote in reviews.

05

A managed operating layer with monitoring, on-call and continuous improvement.

06

A delivery cadence that fits month-end and quarter-end reporting cycles.

Engagement

Engagement Models Designed for Data Engineering for Real Estate for Real Estate Delivery.

01

Dedicated Real Estate Data Squad

What it meansA long-running team of data engineers, analytics engineers and platform engineers embedded in your data function.
02

Real Estate Data Advisory and Staff Augmentation

What it meansSenior data architects with real estate experience who reinforce your internal team during specific build phases.
03

Outcome-Based Real Estate Data Engagements

What it meansFixed-scope projects, for example unifying property management and accounting data, or building investor reporting on a lakehouse.
Under the hood

Real Estate Data Services We Deliver.

01

Real Estate Data Strategy and Architecture

Reference architectures, maturity assessments and multi-year data platform roadmaps.

Included
02

Property and Unit Identity Resolution

Master data work for properties, units, leases and tenants.

Included
03

MLS, CRM and Property Management Pipelines

Ingestion, normalisation and modelling for MLS, brokerage CRM, property management, leasing and accounting platforms.

Included
04

Investor and Asset Reporting Platforms

Lakehouse-based reporting for funds, portfolios, assets and investor disclosures.

Included
05

Building IoT and Operations Analytics

Pipelines and models for energy, occupancy, maintenance and tenant experience data.

Included
06

Data Products for PropTech

Stable, contracted data products for PropTech apps and AI features.

Included
07

Real Estate Data Reliability and Observability

Freshness, volume, schema and quality monitoring with SLAs and on-call.

Included
08

Managed Real Estate Data Operations

On-call, observability, FinOps and continuous improvement for real estate data platforms.

Included
Insights

Data Engineering for Real Estate for Real Estate Insights & Frameworks.

01

Patterns from our data engineers that have run through real real estate deployments.

Insights
02

Real Estate Lakehouse Reference Architecture

A practical lakehouse pattern that supports operations, finance and PropTech products on the same governed platform.

Insights
03

Property and Lease Master Data Pattern

A reference for resolving property, unit, lease and tenant identity across operational and financial systems.

Insights
Resources

Insights for tech leaders.

Whitepaper · PDF

How a Real Estate Platform Stabilized 200+ Data Pipelines

Read more
Whitepaper · PDF

How a Real Estate SaaS Made Its AI Reliable Enough to Bet the Roadmap On

Read more
Whitepaper · PDF

How a Real Estate Firm Cut Inference Cost 50% with Model Distillation

Read more
Selected work

Selected work.

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.

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.

Questions

Frequently asked questions.

What does Data Engineering for Real Estate for Real Estate include?

We cover strategy, architecture, build, deployment and operations for Data Engineering for Real Estate for Real Estate, aligned with your business priorities and operating constraints.

How long does Data Engineering for Real Estate for Real Estate 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 Data Engineering for Real Estate for Real Estate 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 Data Engineering for Real Estate for Real Estate?

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

Who owns the deliverables from a Data Engineering for Real Estate for Real Estate engagement?

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

How do you handle governance and compliance for Data Engineering for Real Estate for Real Estate?

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

How do you optimize cost for Data Engineering for Real Estate for Real Estate?

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 Data Engineering for Real Estate for Real Estate?

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

Let's build

Accelerate Data Engineering for Real Estate for Real Estate.

Ready to make Data Engineering for Real Estate for Real Estate a reliable foundation for analytics, AI and operations? Partner with Logiciel to design, build and operate Data Engineering for Real Estate for Real Estate that engineering, security and business teams can all defend.