AI systems for
construction, assets,
and infrastructure.

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The future of construction
is built on intelligence.

How It Works

Data in.
Intelligence out.

From BIM, IoT and field data to live action — the four ConTxT layers turn built-environment signals into decisions.

Project Data Ingestion

Streaming

Description

BIM, IoT, ERP and field captures normalised into one project graph — no manual mapping.

Sync BIM / IFC models

Completed in 2.1s

Ingest IoT & sensor feeds

Completed in 3.8s

Parse RFIs & submittals

In progress... 12s

Index drone & 360° captures

Pending

2/4 tasks completeEst. 35s remaining

Product Family

Three operating systems.Unified by ConTxT.

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assetOS

The agentic AI tool to manage multiple assets with intelligence.

The operating system for buildings, sites and infrastructure. Five agents that read every sensor, drawing and document — and act in real time.

5 agents

Reno
Vera
Salvo
Arco
Aira
companyOS logo

Turn your company into an integrated operating system.

Executive OS for AECO firms. C-suite agents unify finance, marketing, operations, BIM and knowledge in a single chat-driven control room.

5 C-suite agents

CFO
CMO
COO
BIM
Knowledge
RediGo logo

The automated tool to streamline and manage tenders.

AI co-pilot for public-procurement tenders. Compose admin bundles, draft technical bids, parse economic formulas and track compliance — end-to-end in one workspace.

Core workflows

Tender AI
Admin Bundle
Technical Editor
Economic Parser
BIM Sync
IoT Sensors
Digital Twin
Predictive Alerts
Drone Feeds
Computer Vision
Asset Lifecycle
Safety AI
ESG Reporting
Site KPIs
Executive Agents
KPI Sync
Drag-drop Dashboards
RBAC
Italian Compliance
Knowledge Graph
Multi-Agent
Document Pipeline
Tender AI
Admin Bundle
Technical Editor
Economic Parser
CIG/CUP Monitor
Compliance Status

Case Studies / 12 Projects

Our results.
To give you context.

Impresa Pizzarotti & C. S.p.A.

Healthcare

Ospedale di Prato – Anomaly Detection & Predictive Maintenance

Improve reliability of hospital systems by detecting anomalies and anticipating failures.

Impresa Pizzarotti & C. S.p.A.

Healthcare

Development of a Digital Twin integrated with BMS and IoT data to monitor HVAC and critical systems. AI models identify anomalies and predict failures in advance.

Results
  • -25% unplanned failures
  • -20% maintenance costs
  • improved operational continuity.

Bvlgari S.p.A.

Retail

Retail Energy Optimization

Reduce energy consumption across high-end retail stores while maintaining comfort and brand standards.

Bvlgari S.p.A.

Retail

Deployment of AI-driven energy optimization with real-time control of HVAC, lighting, and store environments.

Results
  • -18% energy consumption
  • improved store efficiency
  • reduced manual interventions.

Aeroporti di Roma S.p.A.

Airports

Airport Energy Optimization

Optimize energy consumption in complex airport infrastructures with fluctuating demand.

Aeroporti di Roma S.p.A.

Airports

Digital Twin platform integrating energy systems, weather data, and operational schedules to dynamically optimize consumption.

Results
  • -15% energy consumption
  • improved peak load management
  • enhanced operational resilience.

Altair S.p.A.

Real Estate

Predictive Maintenance for HVAC Systems

Reduce downtime and improve efficiency of building HVAC systems.

Altair S.p.A.

Real Estate

Machine learning models applied to historical and real-time data to detect anomalies and predict equipment failures.

Results
  • -30% unexpected breakdowns
  • -20% maintenance costs.

Anas S.p.A.

Infrastructure

Predictive Maintenance for Transport Infrastructure

Monitor infrastructure assets and prevent degradation-related failures.

Anas S.p.A.

Infrastructure

Integration of sensor data and AI models to assess asset conditions and predict maintenance needs.

Results
  • +25% asset lifespan
  • reduced emergency interventions.

Milano Serravalle S.p.A.

Infrastructure

Predictive Maintenance for Hydrogen Systems

Ensure reliability and safety of hydrogen-based infrastructure systems.

Milano Serravalle S.p.A.

Infrastructure

AI-based monitoring of hydrogen production and distribution systems, detecting anomalies and predicting failures.

Results
  • improved safety
  • reduced downtime
  • optimized maintenance planning.

Impresa Costruzioni Ing. Enrico Pasqualucci S.r.l.

Construction

Hotel Corinthia – AI-Based Construction Safety Monitoring

Enhance safety compliance and reduce risks on construction sites.

Impresa Costruzioni Ing. Enrico Pasqualucci S.r.l.

Construction

Computer vision models analyze video streams to detect PPE violations, unsafe behaviors, and unauthorized access.

Results
  • -40% safety incidents
  • real-time monitoring
  • improved compliance.

N/D

Infrastructure

Digital Twin for Infrastructure Safety

Improve safety monitoring in complex infrastructure projects.

N/D

Infrastructure

Integration of IoT sensors, video analytics, and BIM models to detect and track safety risks in real time.

Results
  • increased risk visibility
  • reduction of near-miss events
  • improved safety management.

Impresa Costruzioni Ing. Enrico Pasqualucci S.r.l.

Construction

Casa Angelini Phase III – AI-Based Progress Monitoring

Track construction progress in real time and reduce delays.

Impresa Costruzioni Ing. Enrico Pasqualucci S.r.l.

Construction

AI models compare BIM 4D planning with site data (images, scans) to automatically assess work progress.

Results
  • +30% accuracy in progress tracking
  • reduced delays
  • improved reporting.

Impresa Pizzarotti & C. S.p.A.

Real Estate

HQ Pizzarotti – Energy Consumption Optimization

Optimize energy consumption in a complex office building.

Impresa Pizzarotti & C. S.p.A.

Real Estate

Digital Twin integrated with building systems and AI models to optimize HVAC and energy usage.

Results
  • -15% energy consumption
  • improved operational efficiency.

Intesa Sanpaolo S.p.A.

Real Estate

Gioia22 – Energy Optimization & ESG Monitoring

Improve energy performance and ESG monitoring of a flagship smart building.

Intesa Sanpaolo S.p.A.

Real Estate

AI-driven Digital Twin integrating energy, environmental, and operational data to support ESG strategies.

Results
  • -15% energy consumption
  • improved ESG reporting
  • enhanced asset value.

Comune di Lecce

Smart Cities

Lecce Smart City – AI-Based Urban Monitoring

Enable data-driven management of urban assets and services.

Comune di Lecce

Smart Cities

Development of an urban Digital Twin integrating GIS, IoT, and AI to monitor infrastructure and city dynamics.

Results
  • improved decision-making
  • optimized resource allocation
  • enhanced urban services.

Trusted by the best

About ConTxT.

We know
the ConTxT.

Not a metaphor. The word itself is the product:
Construction × Technology × Context — built into one stack.

01Construction

The physical world. $14 trillion of steel, concrete, and labour built every year — still running on spreadsheets.

$14T/yr global construction output

02Technology

The digital layer. AI that reads BIM files, sensor streams, and documents — and actually understands what gets built.

11 AI modules. One stack.

××

The multiplier. Technology alone changes nothing. Applied to construction data, it changes everything.

Signal × intelligence = action.

03Context

The LLM base layer. AI is only as good as its context. ConTxT. = Context. The word says it all.

Context = the foundation of intelligence.

← hover each segment to unfold the meaning

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ConTxT
AI for Construction Asset Intelligence Document AI Safety Sentinel Digital Twin BIM Connector
AI for Construction Asset Intelligence Document AI Safety Sentinel Digital Twin BIM Connector

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