Smart Engineering StudioBuilding-focused IT servicesAI applied to real estate

Designing buildings that are smarter, more energy-efficient, more controllable.

GreenStratAI supports real estate stakeholders and industry players across the entire value chain: Smart strategy, data engineering, software deployment and explainable artificial intelligence for energy, maintenance, comfort and retrofit.

50B
billion connected objects
WEB 2030 estimate — a planetary-scale Internet of Things by 2030.
44%
of energy use in France
Buildings are the largest energy-consuming sector and a key decarbonisation lever.
30%
potential savings
Documented gains on building consumption through control, sensor data and AI.
1
kB of building data
Represents several hours of qualified measurements: data is becoming a strategic raw material.
— 01 / ExpertiseThree entry points

One technological backbone, three angles of intervention.

Frame, design, deploy. A business-value oriented approach for real estate — from offices to housing, from existing portfolios to new projects.

01

Smart Engineering Studio

Strategic framing, data architecture, digital twins, BACS/OPERAT compliance, performance trajectories and industrialisation roadmap.

Audit & framingDigital twinPerformance & compliance
02

Building-focused IT services

Design and integration of business platforms: electronics design, embedded software, IoT collection, secure APIs, middleware, mobile apps, dashboards, web frontends and auditable data pipelines.

Data spacesInteroperabilityEdge & cloud
03

AI applied to real estate

Multi-agent AI, machine learning, explainable assistance and business interfaces to drive energy, comfort, maintenance and retrofit.

Explainable AIEnergy controlDecision support
— 02 / MethodEvidence-driven approach

Interoperability, traceability, scaling up.

A simple journey: collect, structure, decide, deploy. That is what makes the approach credible — and auditable — for a serious data-oriented real estate project.

I.

Collect

Sensors, BMS, energy supplier APIs, usage data and field history.

II.

Structure

Data spaces, ontologies, digital twins and data quality to make the existing portfolio usable.

III.

Decide

Multi-agent AI, predictive models, business rules and explainable supervision.

IV.

Deploy

Business interfaces, Edge, maintenance, regulatory reporting and scale-up.

— 03 / Ongoing projectsDemonstrators

Three projects that embody the GreenStratAI positioning.

Rather than a portfolio, projects that structure a vision: operate the existing stock, better equip the field and make retrofit more predictive.

01 · Flagship project

SYMBIOSE X2

Sovereign multi-agent AI for the energy and operational management of buildings.

A distributed AI platform for residential and commercial real estate. SYMBIOSE X2 combines Edge computing, data spaces, digital twins and a supervised AI interface to turn sensor data into verifiable technical decisions.

ResilienceData sovereigntyInteroperabilitySmart gridEdge
SYMBIOSE X2 operational architecture — technical overview: portfolio control, Edge micro-data centre, digital twin, data spaces, supervised AI interface and dwelling/equipment field gateways.

Highlights

01Concept validated on real data from 15,000+ connected dwellings and 15 commercial sites.
02Hierarchical agent architecture — room, building, territory — to optimise comfort, consumption, maintenance and grid flexibility.
03Strict separation between technical decision and conversational interface: the LLM reformulates evidence, it never directly drives equipment.
04Auditable trust loop: every recommendation is traced, sourced and linked to the field measurements that justify it.
Business benefitFiner control of energy, comfort, maintenance and flexibility, with a chain of trust that is readable for both practitioners and regulators.
02 · IoT product R&D

Confort-One

Next-generation multi-protocol IoT hub — residential, commercial, hospitality. R&D led by GreenStratAI in partnership with Decelect and Tetraedge.

Confort-One is a next-generation IoT product designed end-to-end by GreenStratAI: electronic board, embedded firmware, cloud infrastructure, embedded apps, UI/UX and industrial design — in partnership with Decelect and Tetraedge. Designed as a hub rather than a simple terminal, it brings building connectivity, the user interface and associated services together in a single device.

Multi-protocol hubCyber by designLLM-compatibleResidentialCommercialHospitality
Confort-One — Room Manager touch terminal showing the room name, schedule and temperature.

Highlights

01Multi-protocol hub: EnOcean, Zigbee, Matter, Wi-Fi, BLE, PoE Ethernet and NFC in a single device, federating existing IoT ecosystems with no software overlay.
02Software-upgradable interfaces, able to adapt to use cases — residential, commercial, hospitality & tourism — without replacing installed hardware.
03Cyber by design: architecture compliant with the new EU regulation (CRA), controlled supply chain, signed updates and strict service partitioning.
04Natively compatible with the LLM interfaces of SYMBIOSE X2: the hub serves as a field entry point for explainable AI, without ever delegating direct control of equipment to it.
05Full industrial design led by GreenStratAI: electronics, firmware, cloud, embedded apps, UI/UX and product design, co-produced with Decelect (industrialisation) and Tetraedge (software integration).
Business benefitGive operators a single, upgradable, sovereign device that federates building IoT, the occupant interface and AI, with no dependency on a proprietary stack.
03 · Retrofit R&D

RenovIA

Energy retrofit driven by real data, digital twin and AI.

RenovIA evolves energy retrofit by relying on real operations, a room-by-room digital twin and AI models that strengthen intervention choices — beyond theoretical simulations.

RetrofitCraftspeopleBIM + AITraceabilityPerformance guarantee
RenovIA — 3D digital twin of the “Quai Henry IV” building with per-floor thermal mapping and energy / comfort dashboard.

Highlights

01Combination of measurement campaigns, BIM, shared ontology, machine learning and multi-agent system to better predict retrofit results.
02Simple, intuitive tools for craftspeople, to make the technology usable by field actors — not only by simulation experts.
03Reduced costs, improved simulation accuracy, performance guarantees and accelerated mass-market deployment.
04Traceable documentation of technical choices, usable for financing, insurance and post-works monitoring.
Business benefitTurn energy retrofit into an instrumented, traceable and far more predictive process for the entire value chain, with a performance guarantee.
— 04 / VisionProspective

The building, a new actor of Web 2030.

A forward-looking reading: augmented buildings become a digital infrastructure in their own right, at the crossroads of IoT, data and new economic models.

01

A digital identity for 50 billion objects

The European Commission, in its strategy and foresight unit, estimates in its “WEB 2030” study that close to 50 billion objects could be tagged by 2030, giving them a unique digital identity on the Web and distributed intelligence.

02

Smart infrastructures as guarantors of the physical-virtual link

The role of “Smart” infrastructures will be to guarantee the permanent connection between physical objects and the virtual world — sensors, equipment, networks and services unified in a readable chain.

03

Augmented buildings become a service platform

These “augmented” buildings will become the foundation for value-creating services, up to negotiating themselves the sale or purchase of the energy they produce or consume.

04

From mere operating cost to revenue stream

In the future, buildings will not just be an operating cost, but also a source of revenue or performance through the exploitation of the data they produce.

— 05 / TeamMultidisciplinary

A team at the crossroads of AI, engineering and design.

GreenStratAI’s strength comes from a team combining expertise rarely brought together in a single collective.

GreenStratAI’s strength comes from a team combining expertise in artificial intelligence, engineering sciences, human sciences, architecture and industrial design.

This setup makes it possible to address the multidisciplinary challenge that emerges from the natural convergence of different worlds, and to develop innovative processes, products and services.

Team track record

Our team has designed and deployed a digital-twin infrastructure for connected dwellings at industrial scale: more than 15,000 dwellings and 200 commercial sites commissioned, with the integration of more than 700,000 connected objects in operation. Operational experience that ensures mastery of technical, data and scaling challenges, from pilot to full portfolio.

Artificial intelligence

Predictive models, multi-agent AI, explainable supervision, MLOps applied to buildings.

Engineering sciences

Energy, thermal, control, instrumentation, BMS and technical infrastructures.

Human sciences

Uses, ergonomics, sociology of housing and work — to ground technology in reality.

Architecture & industrial design

Spatial design, reading of the existing built fabric and design of interfaces and integrated products.

— 06 / ContactBook a meeting

Let’s talk about your project.

A simple form to qualify your request. We come back to you within 48 business hours with a framing proposal, demo or project orientation.

Initial contact

Project discussion, framing, demo, partnership or opportunity study.

Types of requests

Residential, commercial real estate, operations, retrofit, maintenance, smart building, IoT, BMS.

Suggested first step

A short initial exchange, then a framing or demo proposal tailored to your context.

Reply within 48 business hours: framing, demo or project orientation.