Logiciel delivers AI as a Service for mid-market and enterprise real estate operators, brokerages, REITs and PropTech. Lease abstraction, listing generation, tenant copilots, deal intelligence and operational AI, run as a managed service with a clear monthly cost. We bring the engineers, the platform, the evaluation harness and the on-call. You bring the business problems and the data.

Book an Intro Call Common Questions

7 solutions

Real estate AIaaS solutions built for production

3 models

Subscription, enterprise programme, outcome-based

5 steps

How a real estate AIaaS engagement runs

Why Logiciel

Why Building Real Estate AI In-House Is Painful.

Why Logiciel · 01

Hiring AI engineers competes with tech and finance for the same talent.

Why Logiciel · 02

Foundation model selection changes every quarter and is hard to track.

Why Logiciel · 03

Evaluation, guardrails and audit logging get cut from the budget early.

Why Logiciel · 04

In-house teams build a pilot and then move on, leaving the system unowned.

Why Logiciel · 05

Cost per use case is hard to forecast without a managed platform.

Why Logiciel · 06

The result is a backlog of AI ideas that never reach production.

What you get

What You Get With Real Estate AI as a Service.

A subscription model with a clear monthly cost per use case.

A managed AI platform with model selection, prompting, retrieval, evaluation and observability.

Pre-built use cases for lease abstraction, listing generation, deal intelligence, tenant communications and operations.

Integration with your existing systems including property management, CRM, accounting and document repositories.

A continuous improvement loop where every prompt, model and evaluation update is included.

A managed service with named owners, SLAs and on-call.

What we build

Real Estate AIaaS Solutions Built for Production.

We package the high-value AI use cases in real estate as subscription services.

1. Lease and Document Abstraction

Lease, contract and disclosure extraction with structured outputs, validation and integration with property management and accounting systems.

2. Listing and Marketing AI

Listing generation, photo enrichment, description optimisation and multi-channel publishing.

3. Deal and Investment Intelligence

Deal sourcing, comparable analysis, valuation support and investment memo generation.

4. Tenant and Customer Copilots

Tenant communication, leasing assistants, prospect qualification and resident support assistants.

5. Operations and Field Copilots

Maintenance, work order, inspections and field operations copilots for residential and commercial portfolios.

6. Market Intelligence and Insights

RAG and analytics over market data, public records, news, internal research and broker activity.

7. Generative AI Governance for Real Estate

Guardrails, audit logging, fair housing and compliance controls for AI used in customer-facing workflows.

Engagement

How We Engage on Real Estate AIaaS.

1. Real Estate AI Subscription

A monthly subscription that covers the managed platform, use cases, evaluation and ongoing improvements.

Engagement

2. Enterprise AI Programme

A multi-use-case programme for larger operators, with shared platform, governance and rollout across business units and portfolios.

Engagement

3. Outcome-Based Use Cases

Fixed-scope work for a specific use case, for example lease abstraction or a tenant copilot launch.

Engagement

How a Real Estate AIaaS Engagement Runs.

1. Use Case and Data Discovery

We work through the use cases, the data sources, the operational workflow and the desired outcomes.

↳ Engagement

2. Platform Setup and Integration

We set up the managed AI platform and integrate with property management, CRM, accounting and document systems.

↳ Engagement

3. Use Case Launch

We launch the first use cases with evaluation, guardrails, monitoring and a clear feedback loop.

↳ Engagement

4. Subscription Operations

We run the use cases as a managed service, with SLAs, monthly reporting and continuous improvement.

↳ Engagement

5. Roadmap and Expansion

We work with you on a rolling backlog of new use cases, model upgrades and integrations.

↳ Engagement

Under the hood

Real Estate AIaaS Services We Deliver.

1. Lease and Document Abstraction Service

Structured extraction from leases, contracts and disclosures, with validation and integration into existing systems.

2. Listing AI Service

Listing generation, image enrichment, description optimisation and channel publishing.

3. Deal Intelligence Service

Comparable analysis, valuation support, deal sourcing and investment memo generation.

4. Tenant and Resident Copilot Service

Communication, leasing assistance, prospect qualification and resident support assistants.

5. Operations Copilot Service

Maintenance, work order, inspections and field operations copilots for portfolios.

6. Real Estate RAG Knowledge Service

RAG and analytics over market data, public records, internal research and broker activity.

7. Real Estate AI Governance Service

Guardrails, audit logging, fair housing compliance and bias review for AI used with customers.

How we work

Frameworks We Use on Real Estate AIaaS Programmes.

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

Real Estate AI Use Case Portfolio

What it meansA practical view of which AI use cases pay back fastest in mid-market and enterprise real estate.

Real Estate AI Governance Pattern

What it meansA reference for AI governance, fair housing and compliance controls in customer-facing real estate AI.

Resources

Insights for tech leaders.

Whitepaper · PDF

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

Whitepaper · PDF

How a Real Estate Platform Stabilized 200+ Data Pipelines

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 AI as a Service for Mid-Market & Enterprise for Real Estate include?

We cover strategy, architecture, build, deployment and operations for AI as a Service for Mid-Market & Enterprise for Real Estate, aligned with your business priorities and operating constraints.

How long does AI as a Service for Mid-Market & Enterprise 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 AI as a Service for Mid-Market & Enterprise 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 AI as a Service for Mid-Market & Enterprise for Real Estate?

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

Who owns the deliverables from a AI as a Service for Mid-Market & Enterprise 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 AI as a Service for Mid-Market & Enterprise for Real Estate?

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

How do you optimize cost for AI as a Service for Mid-Market & Enterprise 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 AI as a Service for Mid-Market & Enterprise for Real Estate?

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

Let's build

Accelerate AI as a Service for Mid-Market & Enterprise for Real Estate.

Ready to move AI as a Service for Mid-Market & Enterprise for Real Estate from pilot into production? Partner with Logiciel to design, build and operate AI as a Service for Mid-Market & Enterprise for Real Estate that engineering, security and business teams can all defend.

Start your real estate AIaaS engagement

AI as a Service for Mid-Market & Enterprise for Real Estate.

See Logiciel in action.

Why Building Real Estate AI In-House Is Painful.

Hiring AI engineers competes with tech and finance for the same talent.

Foundation model selection changes every quarter and is hard to track.

Evaluation, guardrails and audit logging get cut from the budget early.

In-house teams build a pilot and then move on, leaving the system unowned.

Cost per use case is hard to forecast without a managed platform.

The result is a backlog of AI ideas that never reach production.

What You Get With Real Estate AI as a Service.

Real Estate AIaaS Solutions Built for Production.

1. Lease and Document Abstraction

2. Listing and Marketing AI

3. Deal and Investment Intelligence

4. Tenant and Customer Copilots

5. Operations and Field Copilots

6. Market Intelligence and Insights

7. Generative AI Governance for Real Estate

How We Engage on Real Estate AIaaS.

1. Real Estate AI Subscription

2. Enterprise AI Programme

3. Outcome-Based Use Cases

How a Real Estate AIaaS Engagement Runs.

1. Use Case and Data Discovery

2. Platform Setup and Integration

3. Use Case Launch

4. Subscription Operations

5. Roadmap and Expansion

Real Estate AIaaS Services We Deliver.

1. Lease and Document Abstraction Service

2. Listing AI Service

3. Deal Intelligence Service

4. Tenant and Resident Copilot Service

5. Operations Copilot Service

6. Real Estate RAG Knowledge Service

7. Real Estate AI Governance Service

Frameworks We Use on Real Estate AIaaS Programmes.

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

Real Estate AI Use Case Portfolio

Real Estate AI Governance Pattern

Insights for tech leaders.

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

How a Real Estate Platform Stabilized 200+ Data Pipelines

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 AI as a Service for Mid-Market & Enterprise for Real Estate.