Embedded models, your tenant.
AaaS runs in a dedicated, isolated environment per client. No shared inference, no shared data, no cross-tenant leakage.
AI as a Service for Real Estate - Flat Monthly Pricing, Embedded in Your Platform
Skip the model build, the GPU bill, and the MLOps hire. Get AaaS that drops into your real estate or PropTech product in six weeks.
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.
Three things make the wait expensive:
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.
Every quarter you spend building from scratch is a quarter your roadmap stays defensive instead of differentiating.
Our AaaS isn't a generic LLM wrapper. It's a real-estate-trained, governed, and operated AI layer that exposes the workflows your product needs, on infrastructure you don't have to staff.
AaaS runs in a dedicated, isolated environment per client. No shared inference, no shared data, no cross-tenant leakage.
Listing enrichment, valuation, agent assistants, lead scoring, document understanding for leases and contracts, and conversational property search.
Your engineers integrate once. We handle model selection, retraining, evals, observability, and incident response behind the curtain.
No GPU surprises. No token math. No "professional services" line items showing up at quarter-end.
Agent assistants. Conversational tools that draft listing copy, answer buyer questions, and prep CMA decks.
We publish indicative pricing on the call because real numbers convert better than "contact sales." The simple economics: a Logiciel AaaS subscription typically replaces the fully loaded cost of one senior ML engineer, one MLOps engineer, a GPU contract, and an enterprise AI platform license - at roughly one-third of the combined annual spend.
Three pricing tiers, all flat monthly:
See AaaS pricing on a 20-minute fit call - we'll show the tier that matches your traffic and roadmap.
(Reuse two case study tiles from the existing carousel, reframed for real estate. Suggested copy for the design team:)
(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.")
Most "AI as a service companies" fall into one of three camps: generic LLM resellers, enterprise platforms priced for Fortune 500, or vertical point solutions that solve one workflow and force you to integrate five vendors. Here's how Logiciel positions:
vs. point solutions - one API surface, one invoice, one accountable team across every AI workflow in your platform.
This is the section your CISO and General Counsel will read. We wrote it for them.
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.
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.
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.
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.
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.
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.
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.
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.
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.