Google Cloud Real Estate and Construction France

Leaseo

Customer Service Automation · Real-time Analytics

Leaseo needed to modernize property-management workflows with faster conversational support, lower AI operating costs, and a more scalable architecture than the fragmented mix of incumbent providers it had been relying on.

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300 to 500 millisecond response time from its conversational AI chatbot

Future-proofs its architecture for the next decade

Reduces chatbot latency from 300-800 milliseconds to 100 milliseconds

about 100 times less expensive than a competing provider

Reported impact

Business outcome

Leaseo lowered chatbot latency and AI operating cost, created faster tenant and landlord support flows, and established a Google Cloud architecture it expects to scale for the next decade of property-management services.

Solution

Leaseo rebuilt its property-management platform around Google Cloud so data, conversational AI, and operational analytics could share a single elastic foundation. Cloud Storage synchronizes operational data that is processed in real time with BigQuery and Cloud Spanner, while Google Kubernetes Engine provides burst-ready scalability for core application services. On top of that data layer, Leaseo uses Vertex AI, Gemini 2.5 Flash, Gemini Live API, Gemini 3 Pro, and Google Enterprise CX to power AI Assist chatbot experiences, call summarization, conversational processing, translation, image enrichment from issues such as leaking taps, and service evaluation analytics. Looker Studio gives the business visibility into customer offerings and telemetry. The result is an infrastructure that supports low-latency AI interactions, real-time property workflows, and a future-proof foundation for the company’s next decade of product growth.

Data flow

Operational data is synchronized into Cloud Storage and then processed through BigQuery and Cloud Spanner. Leaseo's conversational and multimodal requests flow through Vertex AI and Gemini services, while results feed back into property-management workflows and are observed in Looker Studio dashboards.

Solution architecture

10 components · 4 layers

Compute
- Vertex AI Hosts Leaseo's conversational AI workloads and helps deliver low-latency property-management interactions.
- Gemini 2.5 Flash Handles fast call summarization and conversational responses for property-management interactions.
- Gemini 3 Pro Supports richer multimodal enrichment tasks such as analyzing property photos and other complex AI workloads.
Storage
- Cloud Storage Holds synchronized operational data that feeds Leaseo's AI and analytics workflows.
- BigQuery Processes customer and product data in real time for analytics and AI-enabled decision-making.
- Cloud Spanner Provides the real-time transactional data layer that supports scalable property-management operations.
Serving
- Gemini Live API Processes real-time natural-language conversations for customer and tenant workflows.
- Google Enterprise CX Provides evaluation and analytics for Leaseo's customer-engagement workflows.
- Looker Studio Gives Leaseo business visibility into customer offerings and product telemetry.
Orchestration
- Google Kubernetes Engine Supplies elastic, burst-ready scalability for Leaseo's platform services.

Architecture clues

Data is synchronized in Cloud Storage and processed in real time with BigQuery and Spanner
Google Enterprise CX is used for evaluation and analytics
Looker Studio provides visibility into customer offerings
The platform uses Google Kubernetes Engine for elastic, burst-ready scalability

Evidence from the source

Future-proofs its architecture for the next decade with the scalability and elasticity of Google Kubernetes Engine and BigQuery

Gemini LLMs met the organization’s performance, reliability, scalability, speed, and consistency requirements, as well as being about 100 times less expensive than a competing provider

With data in Cloud Storage synchronized and processed in real time with BigQuery and Spanner

for elastic, burst-ready scalability

with Vertex AI, Leaseo was able to achieve a 300 to 500 millisecond response time from its conversational AI chatbot

Transparency Evidence & methodology 95/100 reference value · 84% confidence · 3 sources

Review how this reference was scored and trace each normalized claim back to its documented source.

Scoring methodology

How scores are calculated

Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.

Customer reference value95/100

Problem clarity20/20
Measures whether the customer's operational problem is specific enough to compare.
Implementation depth20/25
Rewards named components, data flow, integrations, and architecture detail.
Outcome specificity20/20
Measures whether the reported benefit is concrete rather than a generic claim.
Quantified impact25/25
2 metrics describe measurable impact.
Deployment scale10/10
Rewards evidence of a live or scaled deployment and meaningful integration scope.

Evidence confidence84%

Source authority20/25
The main evidence is an official vendor-published customer story.
Claim traceability25/25
12 of 12 key fields link to a named source.
Direct evidence20/20
5 direct source quotes retained.
Date provenance0/10
The publication date has no documented provenance.
Source transparency9/10
3 source references document publisher, URL, authority, retrieval, and supported fields.
Implementation specificity10/10
Rewards source-backed components, data flow, quantified impact, and a specific outcome.

Traceability

Sources & provenance

Field coverage shows which facts each source supports. Dates are shown only when documented by the source.

Google Cloud
Leaseo customer story

First-party
https://cloud.google.com/customers/leaseo

Source type
Vendor-published customer story
Supports
- Customer
- Business problem
- Solution
- Products
- Solution components
- Data flow
- Integrations
- technical area
- use case category
- Business outcome
- outcome category
- Metrics
- Architecture
- evidence quotes
Leaseo
Mentions légales – Leaseo, votre expert en immobilier d’entreprise

First-party
https://www.leaseo.fr/mentions-legales/
The legal notice says "Siège social : 43 rue La Fayette 75009 PARIS | FRANCE".

Source type
Official legal page
Supports
- Region
Leaseo
Leaseo - Qui sommes-nous ?

First-party
https://www.leaseo.com/qui-sommes-nous
The page says 'LEASEO est une société française indépendante' and lists '9 collaborateurs' in the key figures.

Source type
Official company website
Supports
- Company size
- Region

Date evidence

First archived Apr 13, 2026 · Internet Archive · Independent First Wayback Machine capture; confirms the page existed by this date, not when it was published.
Open date source
Sitemap last modified Apr 3, 2026 · Google Cloud · Publisher metadata Publisher-reported modification timestamp; not a publication date.
Open date source

Not separately sourced Industry. Treat these normalized attributes as lower-confidence until a dedicated source is added.

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