You've already lived this scenario. Leadership wants AI in the product by next quarter. Build-it-in-house quotes you four engineers, a year, and a number you can't get past the CFO. The "AI platform" vendors quote you a six-figure annual license plus implementation. The point solutions each solve one workflow and leave you running five integrations.

Meanwhile, your competitors are quietly shipping AI-driven listing pages, agent assistants, and pricing intelligence - and the SEO data shows their organic traffic creeping up while yours flattens.

What we build

Real Estate Is Re-Indexing Around AI Faster Than Most VPs Realize.

Buyer behavior has shifted. Renters and home buyers now ask conversational questions that your old keyword search can't answer. Drop-off on traditional listing search is climbing month over month.

What we build

Listing aggregators are moving first. The big portals are already exposing AI summaries and conversational search. Your platform either matches them or starts looking dated to brokers.

What we build

The talent math has changed. A senior ML engineer in a US metro now costs more fully loaded than an entire Logiciel AaaS subscription, and that engineer needs 6 to 9 months just to ship the first model into production.

What we build

What you get

What AI as a Service Means When Logiciel Delivers It.

Embedded models, your tenant.

What it meansAaaS runs in a dedicated, isolated environment per client. No shared inference, no shared data, no cross-tenant leakage.

Pre-built real estate workflows.

What it meansListing enrichment, valuation, agent assistants, lead scoring, document understanding for leases and contracts, and conversational property search.

One API surface.

What it meansYour engineers integrate once. We handle model selection, retraining, evals, observability, and incident response behind the curtain.

Predictable monthly invoice.

What it meansNo GPU surprises. No token math. No "professional services" line items showing up at quarter-end.

Use cases

The Use Cases That Show Up in the First 90 Days.

Use cases · 01

AI-powered property search

Conversational, multi-criteria, photo-aware search that doesn't break on natural-language queries.

Use cases · 02

Automated listing enrichment

Photo classification, copy generation, missing-field detection, fair-housing-compliant descriptions.

Use cases · 03

AVM + dynamic pricing

Continuously updated valuations that incorporate local sales, comps, and seasonality.

Use cases · 04

Lead scoring and routing

Buyer-intent scoring that beats the rules-based logic your CRM ships with.

Use cases · 05

Document and lease intelligence

Pulling key terms out of leases, purchase agreements, and disclosures.

Pricing

What AaaS Costs - and What It Replaces.

Launch - for platforms shipping their first AI workflow.

↳ Pricing

Scale - multi-workflow, multi-tenant, with private model fine-tuning.

↳ Pricing

Enterprise - high-volume inference, dedicated VPC, custom SLAs, and white-labeled models.

↳ Pricing

In focus

What "AI as a Service" Looks Like When It's Actually Working.

(If real-estate-specific stories are not yet published, use the strongest 7-Figure ARR AI augmentation case study with the framing: "Same pattern, applied to PropTech.")

"Lifted listing CTR 41% with AI-enriched descriptions and conversational search."

"Cut listing-to-published time from 3 days to 4 hours with automated enrichment."

In focus

Choosing an AI as a Service Provider for Real Estate - What Actually Matters.

vs. generic LLM API resellers

we ship real estate workflows out of the box, not a chat completion endpoint.

vs. enterprise AI platforms

we price for mid-market and growth-stage PropTech, with a 6-week integration instead of a 9-month rollout.

vs. point solutions

one API surface, one invoice, one accountable team across every AI workflow in your platform.

Trust & security

Built for the Compliance Conversation You Need to Win.

HIPAA-aligned engineering: encryption in transit and at rest, key rotation, segmented environments, least-privilege IAM, audit logging across the model and data planes.

Included

Data residency and tenancy options across AWS, Azure, and GCP - including in-VPC and on-prem patterns.

Included

Model risk management aligned to the NIST AI RMF, with documented controls for bias, drift, and explainability.

Included

Optional SOC 2 Type II evidence support and HITRUST mapping for clients pursuing certification.

Included

BAA execution on day one of any engagement involving PHI.

Included

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.

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.

Whitepaper · PDF

Agentic AI for Real Estate Operations: An Executive Blueprint

Whitepaper · PDF

How One Real Estate Platform Launched Agentic AI in 10 Weeks

Whitepaper · PDF

How One Real Estate Platform Launched Agentic AI in 10 Weeks

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 is AI as a service for real estate platforms?

AI as a Service (AaaS) is a managed model where Logiciel runs the AI infrastructure - models, GPUs, MLOps, governance, observability - and exposes real-estate-specific workflows as APIs your platform consumes. You pay a flat monthly subscription instead of building and operating the stack in-house. Common real estate AaaS workflows include listing enrichment, conversational property search, AVMs, lead scoring, and document intelligence.

How is AI as a service different from SaaS?

SaaS is software you log into. AaaS is intelligence you call. SaaS gives you a tool to use; AaaS gives you a workflow that you can embed inside the product you already run. For real estate platforms, that distinction matters - your buyers and agents stay inside your product, while the AI layer runs in the background.

What does an AaaS subscription typically cost?

Logiciel's AaaS tiers start in the low five figures per month for a single-workflow Launch tier and scale up for multi-workflow, multi-tenant, or high-volume Enterprise deployments. The economics typically replace the fully loaded cost of an in-house ML and MLOps team at roughly one-third the spend.

How fast can we go live?

Most real estate AaaS engagements are live in 6 weeks. Week 1 is discovery and tenant setup. Weeks 2–4 are integration into your platform. Weeks 5–6 are evaluation, governance sign-off, and production rollout.

Will our data be used to train shared models?

No. Logiciel's AaaS runs in a dedicated environment per client. Your data is never used to train models that serve another tenant. Fine-tuning, when included, produces a model that belongs to your engagement and stays inside your environment.

Can we host AaaS in our own cloud account?

Yes. Enterprise tier supports deployment into your AWS, Azure, or GCP tenant. Logiciel operates the AaaS layer; you retain control of the cloud account, IAM, and data residency.

Do you support real estate–specific compliance?

Yes. AaaS workflows that touch listings, advertising copy, and tenant communications include fair-housing safeguards and reviewable generation logs. Workflows that touch financial or PII data run under appropriate data handling controls, including SOC 2-aligned posture.

Let's build

Stop Pricing Out an In-House AI Team. See AaaS Pricing Instead.

Twenty minutes. We map your real estate workflows, your traffic, and the tier that fits. You leave the call with a written quote and a 6-week integration plan.

Book a 20-minute fit call

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

See Logiciel in action.

The Build-vs-Buy Trap Every Real Estate Tech Leader Hits.

Real Estate Is Re-Indexing Around AI Faster Than Most VPs Realize.

Buyer behavior has shifted. Renters and home buyers now ask conversational questions that your old keyword search can't answer. Drop-off on traditional listing search is climbing month over month.

Listing aggregators are moving first. The big portals are already exposing AI summaries and conversational search. Your platform either matches them or starts looking dated to brokers.

The talent math has changed. A senior ML engineer in a US metro now costs more fully loaded than an entire Logiciel AaaS subscription, and that engineer needs 6 to 9 months just to ship the first model into production.

What AI as a Service Means When Logiciel Delivers It.

Embedded models, your tenant.

Pre-built real estate workflows.

One API surface.

Predictable monthly invoice.

The Use Cases That Show Up in the First 90 Days.

AI-powered property search

Automated listing enrichment

AVM + dynamic pricing

Lead scoring and routing

Document and lease intelligence

What AaaS Costs - and What It Replaces.

What "AI as a Service" Looks Like When It's Actually Working.

"Lifted listing CTR 41% with AI-enriched descriptions and conversational search."

"Cut listing-to-published time from 3 days to 4 hours with automated enrichment."

Choosing an AI as a Service Provider for Real Estate - What Actually Matters.

vs. generic LLM API resellers

vs. enterprise AI platforms

vs. point solutions

Built for the Compliance Conversation You Need to Win.

HIPAA-aligned engineering: encryption in transit and at rest, key rotation, segmented environments, least-privilege IAM, audit logging across the model and data planes.

Data residency and tenancy options across AWS, Azure, and GCP - including in-VPC and on-prem patterns.

Model risk management aligned to the NIST AI RMF, with documented controls for bias, drift, and explainability.

Optional SOC 2 Type II evidence support and HITRUST mapping for clients pursuing certification.

BAA execution on day one of any engagement involving PHI.

Tailored engineering for your industry.

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

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

Insights for tech leaders.

Agentic AI for Real Estate Operations: An Executive Blueprint

How One Real Estate Platform Launched Agentic AI in 10 Weeks

How One Real Estate Platform Launched Agentic AI in 10 Weeks

What our clients say.

Frequently asked questions.

Stop Pricing Out an In-House AI Team. See AaaS Pricing Instead.