AI Engineering for Infrastructure, Construction & Real Estate
Built-environment programs and mega-projects lose months at technical interfaces. Engineers routinely waste 20% of their billable hours searching for scattered technical data, checking revisions, or manually verifying drawing compliance.
Scanned PDF archives remain unsearchable, asset registers fail to reconcile during major ERP cutovers (like SAP S/4HANA), and digital twin platforms stall because legacy 2D data lacks semantic structure.
You don't need another conceptual pilot. You need a production-grade AI layer engineered into your delivery workflow - delivered by an engineering team that stays accountable from design review through handover and operations.
What Azati delivers for IC&RE programs
Seven service clusters - each is anchored in production AI we built and continue to extend.
Digital Twin Enablement & Engineering Data Structuring
We resolve the missing link between legacy asset documentation and modern operations by turning static 2D engineering data into structured, machine-readable inputs.
- Drawing Interpretation: Automated recognition of symbols, components, and attributes across architectural and MEP layouts.
- Topology Building: Mapping functional connections and layout dependencies to generate clean relationship graphs.
- Data Ingestion Pipelines: Delivering standards-aligned registers (including CFIHOS class libraries) directly into BIM, 3D, and third-party digital twin platforms.
Built for: Asset operators, EPC contractors, infrastructure owners, and developers running digital twin programs, BIM rollouts, handover-readiness initiatives, or asset record consolidation.
ERP Migration & Master Data Engineering
We engineer high-fidelity data pipelines to ensure large-scale migrations to systems like SAP S/4HANA or IBM Maximo deliver measurable value instead of relocating existing data chaos.
- Master data harmonization executed at a multi-million-SKU scale.
- Automated Tag-to-FLOC (Functional Location) and tag-to-material-number mapping.
- Equipment hierarchy generation, Bill of Materials (BOM) consolidation, and inventory optimization platforms.
Built for: Asset-heavy programs preparing for ERP migration where master data quality decides whether the migration delivers measurable value or just relocates the chaos.
Construction Cost Estimation & Tender Platforms
We stabilize industrial and infrastructure pricing logic where minor calculation drift can result in major procurement and bottom-line losses.
- Development of configuration-driven dependency chains for heavy construction projects.
- Automated processing of material-resource statements with cross-module calculation validation.
- Tender preparation workflows built with strict audit-ready logging to match corporate procurement governance.
Built for: EPCs, general contractors, developers, and infrastructure programs running complex pricing logic where calculation drift produces real procurement losses.
Asset, Property & Sustainability Intelligence
We implement custom computer vision, machine learning, and neural network architectures to turn unstructured environment visuals into automated business decisions.
- Marketing Visualization: Lighting-aware rendering engines that replace multi-day 3D visualization cycles with seconds of real-time inference (instant interior adjustments and finish swaps).
- Geospatial Analytics: Satellite-imagery neural networks for surface area estimation, automated roof solar suitability checks, and regional infrastructure planning.
- Edge AI & Vision: Real-time materials counting, asset condition monitoring, and edge-deployed computer vision for road and infrastructure defect detection.
- Conversational Analytics Agents: Plain natural language AI assistants that process complex data queries, autonomously connect to third-party vendor platforms, aggregate siloed information, and instantly render interactive analytical charts for rapid decision-making.
Built for: Real estate sales and marketing teams, asset operators, municipal planners, urban infrastructure programs, and sustainability initiatives.
Field Operations: Inspections, Maintenance, Asset Reporting
We replace fragile spreadsheet forms with robust, distributed field workflow applications designed for offline-first resilience.
- Geo-fenced inspection apps that automatically detect site proximity and trigger specific engineering checklists.
- Dynamic visual form builders featuring native template versioning, allowing engineering changes without developer code cycles.
- Conflict-free synchronization engines matched with automated supply ordering and real-time portfolio health dashboards.
Built for: Facility managers, building maintenance services, municipal infrastructure operators, and asset owners running distributed field workforces against large facility portfolios.
Property & Asset Catalog Platforms
We design and scale high-volume transactional property catalogs that outgrow rigid, off-the-shelf software solutions.
- Dynamic asset management architectures handling multi-type inventories (units, houses, storage, commercial spaces, and parcels).
- Natural Language Processing (NLP) property search engines operating alongside structured metadata filters.
- Enterprise Content Management (ECM) frameworks featuring secure, financial-grade document handling via Vitrium and SpringCM integrations.
Built for: Real estate developers, marketplaces, auction houses, retail real estate operators, and platform operators managing large inventories of properties, units, and associated documents at national or international scale.
Legacy Systems, Content & Integration Modernization
The problem: Sprawling enterprise content estates - multiple SharePoint instances, vendor portals, document repositories - make basic information retrieval slow. ERP integrations are fragile. Document workflows depend on systems no one fully owns. Migration projects fail under the weight of unclassified content.
What we engineer:
- Portal consolidation and migration frameworks
- SharePoint modernization with content governance, classification, and migration validation
- Enterprise data bus and integration layers (ERP ↔ document generation, ERP ↔ asset systems, ERP ↔ field platforms)
- Hundreds-of-thousands-scale content audits with risk classification
Built for: Owners with fragmented enterprise content estates and integration debt that's blocking modernization elsewhere.
Why Azati is the first choice for built-environment AI
-
Engineering documentation digitization – Azati’s proprietary tech
This expertise is unique. 50+ AI/ML engineers focused on engineering documentation for 10+ years. Production AI mastery in OCR, P&ID parsing, isometric and SLD recognition, datasheet extraction, asset hierarchy mapping, and CFIHOS alignment. We don't claim AI capability – we build the platforms it ships in.
-
We stay in production - through handover, O&M, & next program cycle
No prototypes handed off at sprint-end. Engineering responsibility for systems that ship at scale and stay performant.
-
Azati is the engineering team behind the AI technology that powers Digatex
Together with Digatex, the engineering data intelligence platform, we deliver for major oil & gas operators including Shell, Chevron, Aramco, Petronas and many more.
Learn more -
Regulated-industry depth
20+ years across BFSI, EOG, life sciences, public sector. DORA-, NIS2-, EU AI Act-aware architectures. ISO 27001 certification in progress (ETA 2026).
-
Multi-geography production delivery
Europe, Australia, North America, Middle East, Southeast Asia. Standards-aligned outputs for global asset programs.
-
Integrated AI and senior software engineering
Advanced AI/ML, OCR, Computer Vision, LLM, NLP, big data, cloud architecture, integration, and senior software engineering in unified squads - not separate service lines that have to be re-integrated at delivery.
-
Enterprise integration ready
Project experience integrating with HEXAGON, AVEVA, SAP, SharePoint, Bentley, Autodesk, and Maximo through a robust API framework.
Recognized as Top Artificial Intelligence Company
We've been delivering AI-powered solutions to IC&RE and OEG leaders since AI's earliest days a decade ago. These awards aren't just for show - they are proof of the verified AI expertise we bring to the table. As your technology partner, we back our AI development capabilities with recognized talent, engineering domain-specific subject-matter knowledge and a track record you can rely on.
Our approach focuses on demonstrating how AI-ready infrastructures behave in practice, helping clients assess expected performance rather than relying on assumptions.
Infrastructure, Construction & Real Estate case studies
Reporting Platform for the Local Municipal Government of Canada
Reporting platform automating equipment depreciation reporting process.
Cloud System for Document Digitization
AI-powered document digitization system for engineering documents.
Enterprise Construction Cost Estimation Platform for Oil & Gas Projects
Enterprise construction cost estimation platform for oil & gas projects with complex cross-module calculation dependencies.
Enterprise Content Management System for Retail Real Estate Corporation
Large-scale ECM system for online property auction marketplace.
Real Estate Catalog Built with AI-Accelerated Development
Azati delivered a production-grade real estate catalog platform at 3х speed using AI coding agents with complete senior-engineer ownership from architecture to deployment.
Mobile Geolocation and Reporting Service
Cross-platform mobile app for on-site inspections with geolocation tracking.
Road Pothole Detection With Machine Learning And Computer Vision
ML and CV prototype for automated road defect detection.
Customer Profile Scraping for Real Estate Industry
Progressive web scraping platform compiling customer data dashboard.
Frequently asked questions
No. Azati prepares structured engineering data from 2D drawings, datasheets, and documents to feed BIM, digital twin, 3D modelling, and ERP workflows. We integrate with AVEVA, HEXAGON, Autodesk, Bentley, SAP, and Maximo through a robust API framework. Our work flows into your existing systems, not in place of them.
Digital twin programs stall on the same problem: the asset's legacy 2D estate isn't structured to feed the twin. Drawings, P&IDs, isometrics, datasheets, and inspection records sit in PDFs, scanned archives, and incompatible platforms. Azati builds the AI pipeline that extracts, classifies, tags, maps, and validates this data – then publishes it directly into the client's digital twin environment, with CFIHOS-aligned class libraries, FLOC mappings, and tag-to-asset registers ready for ingestion.
Typical pilot deployment runs 4-10 weeks from kick-off to a working AI layer processing real production data. Larger, multi-stream programs follow a phased modernization path with measurable milestones every quarter.
Yes. Most engagements start with a single, sharp use case – electrical layout pre-check, drawing search, datasheet extraction, digital twin data preparation, S4 Hana master data harmonization, cost-engine validation, or catalog modernization – and expand from there once production performance is proven.
SaaS BIM, PIM, and digital twin platforms are products. Azati builds production AI engineering that integrates with the systems you already operate – not another silo. The output of our work is structured, validated data flowing into your downstream systems (including your digital twin platform), not a new portal your team has to adopt.
Yes. Azati's IC&RE practice operates across EU AI Act-, DORA-, NIS2-, and GDPR-aligned architectures, with 20+ years across regulated industries including banking, insurance, energy, life sciences, and public sector. ISO 27001 certification is in progress (ETA 2026).
Azati's top European delivery teams are in Poland, with HQ location in Warsaw. The global HQs are in Livingston, NJ, USA. Distributed engineering teams across EU and Baltic regions provide nearshore coverage for Benelux, DACH, Nordics, UK, and CEE, and deliver across North America, Australia, the Middle East, and Southeast Asia.
2-4 weeks to first sprint for dedicated team engagements. Senior engineers available on request. Stack alignment confirmed before kick-off.
Yes – upon request before the first call.
Ready to operationalize your engineering data?
Azati can help you start where it matters most.
Start the conversation-
1
Schedule a 30-minute vendor-problem fit discussion
Pick one use case, see whether Azati is the right partner.
-
2
Review a sample documentation set
Drawings, specs, cost worksheets, or property data; we'll show what AI engineering produces from it.
-
3
Deploy your first production AI use case in 4-10 weeks
With measurable outcomes and a path to expand.
Last updated