Logiciel builds data platforms and pipelines for real estate operators, REITs, brokerages and PropTech companies. We bring MLS feeds, CRM, property management systems, leasing platforms, finance and IoT data into one place that finance, ops and product can rely on.

Book an Intro Call Common Questions

5 deliverables

What you get from real estate data engineering

7 sources

MLS, CRM, PMS, leasing, accounting, IoT, market

Why Logiciel

Why Real Estate Data Stays Stuck in Silos.

Why Logiciel · 01

Brokerage CRM, MLS and listing feeds rarely match each other.

Why Logiciel · 02

Property management, leasing and accounting systems use different unit and lease identifiers.

Why Logiciel · 03

Investor and asset reporting depends on monthly spreadsheets that nobody trusts.

Why Logiciel · 04

IoT data from buildings sits in vendor portals, not in any analytical system.

Why Logiciel · 05

PropTech products get built on flat exports instead of governed data.

Why Logiciel · 06

Every new report becomes another integration project.

What you get

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

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

Pipelines from MLS, CRM, property management, leasing, accounting, IoT and market data sources.

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

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

A platform that PropTech product teams can build on, with stable contracts and APIs.

What we build

Real Estate Data Solutions Built for Production.

MLS, Listings and Market Data Pipelines

What it meansIngest and normalise MLS feeds, listing platforms, market comps, public records and third-party market data.

Property Management and Leasing Integrations

What it meansPipelines for Yardi, MRI, Entrata, RealPage, AppFolio, Buildium and similar platforms, with unified property and unit identifiers.

CRM and Brokerage Data

What it meansSalesforce, HubSpot, brokerage CRM and lead source integrations with attribution and pipeline analytics.

Finance, Investment and Asset Reporting

What it meansIntegration with accounting systems, fund administration and investor reporting, with a single set of numbers across operations and finance.

Building IoT and Operations Data

What it meansPipelines for HVAC, energy, access, occupancy and tenant experience data from building systems and IoT platforms.

Real Estate Lakehouse Architecture

What it meansA lakehouse on S3 or Azure Data Lake with Iceberg or Delta, dbt models and a warehouse for performance-sensitive workloads.

Engagement

Engagement Models Designed for Data Engineering for Real Estate Delivery.

Dedicated Real Estate Data Squad

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

↳ Engagement

Data Advisory and Staff Augmentation

Senior data architects and engineers who reinforce your internal team during specific build phases.

↳ Engagement

Outcome-Based Data Engagements

Fixed-scope projects, for example unifying property management and accounting data, or building investor reporting on top of a lakehouse.

↳ Engagement

Under the hood

Real Estate Data Services We Deliver.

Data Strategy and Architecture for Real Estate

Reference architectures, maturity assessments and multi-year data platform roadmaps tied to portfolio and product goals.

Included

Property and Unit Identity Resolution

Master data work for properties, units, leases and tenants across operational and financial systems.

Included

MLS, CRM and Property Management Pipelines

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

Included

Investor and Asset Reporting Platforms

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

Included

Building IoT and Operations Analytics

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

Included

Data Products for PropTech

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

Included

Insights

Data Engineering for Real Estate Insights & Frameworks.

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

Insights

Real Estate Lakehouse Reference Architecture

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

Insights

Property and Lease Master Data Pattern

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

Insights

How we work

Our Data Engineering for Real Estate Framework.

Discovery and Data Mapping

We map the systems, the data, the identifiers and the use cases. Property, unit, lease and tenant identity is usually the first problem to solve.

Architecture and Roadmap

We design the lakehouse, define the data model and agree on a phased roadmap tied to your reporting and product priorities.

Platform Build

We build the pipelines, models and access layer in code, with testing, lineage and observability.

Use Case Onboarding

We onboard the first reports, dashboards and product use cases, including SLAs and data contracts.

Operate and Scale

We move into a steady-state operating model and widen the platform across portfolios, regions and product lines.

Resources

Insights for tech leaders.

Whitepaper · PDF

How a Real Estate Platform Stabilized 200+ Data Pipelines

Whitepaper · PDF

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

Whitepaper · PDF

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

Selected work

Selected work.

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.

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.

Questions

Frequently asked questions.

What does Data Engineering for Real Estate include?

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

How long does Data Engineering 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 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?

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 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?

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?

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?

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

Let's build

Accelerate Data Engineering for Real Estate.

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

Plan your real estate data platform

Data Engineering for Real Estate.

See Logiciel in action.

Why Real Estate Data Stays Stuck in Silos.

Brokerage CRM, MLS and listing feeds rarely match each other.

Property management, leasing and accounting systems use different unit and lease identifiers.

Investor and asset reporting depends on monthly spreadsheets that nobody trusts.

IoT data from buildings sits in vendor portals, not in any analytical system.

PropTech products get built on flat exports instead of governed data.

Every new report becomes another integration project.

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

Real Estate Data Solutions Built for Production.

MLS, Listings and Market Data Pipelines

Property Management and Leasing Integrations

CRM and Brokerage Data

Finance, Investment and Asset Reporting

Building IoT and Operations Data

Real Estate Lakehouse Architecture

Engagement Models Designed for Data Engineering for Real Estate Delivery.

Dedicated Real Estate Data Squad

Data Advisory and Staff Augmentation

Outcome-Based Data Engagements

Real Estate Data Services We Deliver.

Data Strategy and Architecture for Real Estate

Property and Unit Identity Resolution

MLS, CRM and Property Management Pipelines

Investor and Asset Reporting Platforms

Building IoT and Operations Analytics

Data Products for PropTech

Data Engineering for Real Estate Insights & Frameworks.

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

Real Estate Lakehouse Reference Architecture

Property and Lease Master Data Pattern

Our Data Engineering for Real Estate Framework.

Discovery and Data Mapping

Architecture and Roadmap

Platform Build

Use Case Onboarding

Operate and Scale

Insights for tech leaders.

How a Real Estate Platform Stabilized 200+ Data Pipelines

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

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

Selected work.

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

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

Frequently asked questions.

Accelerate Data Engineering for Real Estate.