Leveret Systems Agentic BIM Service
Leveret Systems builds the live layer between federated BIM models and the contract documents that surround them — programme, procurement, cost, specifications and standards. We quantify a federated Revit or IFC model in minutes, with an auditable citation behind every classification, and embed the architecture into the client's delivery workflow. Per-project engagements run one to three weeks; strategic embedded engagements run four to six months. UK-based agentic AI engineering for AEC and manufacturing.
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Leveret Systems Agentic BIM Service Overview
Leveret Systems is a UK-based agentic AI engineering consultancy that builds the live layer between federated BIM models and the contract documents that surround them — programme, procurement, cost plans, specifications and standards. The service quantifies a federated Revit or IFC model end-to-end, classifies every element against project context, and produces a continuously refreshable view that downstream cost planning, programme risk analysis and compliance audit can read as a function rather than a static export.
The architecture is hybrid by design. Deterministic rules narrow the work before any AI reasoning is applied — the cheap, fast, predictable layer carries the bulk of the classification, and reasoning models handle only the ambiguous tail. Schemas reject malformed answers at the boundary, citations are enforced as code, and items the agent cannot confidently resolve route to a tightly-scoped human review queue rather than being silently committed. In a domain where every line of a Bill of Quantities must be defensible, that abstention behaviour is the safety feature.
Each engagement contributes to a project-by-project knowledge layer that accumulates across the lifecycle. Subsequent runs converge faster as the layer learns the project's specific Activity DataBase codes, NRM2 mappings, supplier patterns and specification conventions. Within a single project we already observe roughly a third of elements resolving from the knowledge layer alone on rerun, without firing the agentic stack at all. The same effect is designed to compound across engagements.
The service integrates with existing tools rather than replacing them. Revit and IFC models are ingested through Autodesk Platform Services. Contract programmes parse from Primavera P6 exports or revision-tracking spreadsheets. Procurement schedules in NEC, JCT or bespoke layouts reconcile against the model. Specification PDFs are indexed for retrieval-augmented review. The Monte Carlo input layer — activity duration distributions, supplier lead-time distributions, element-to-activity links — is structured as live data, so a critical-path kernel reads it as a function and produces P50, P80 and P95 completion windows with a tornado attributing slip to specific suppliers.
Leveret Systems delivers in two engagement modes. Per-project engagements (one to three weeks) suit teams who need a single model quantified, reconciled and structured for risk and cost analysis on a specific job. Strategic embedded engagements (four to six months) suit organisations who want the service tuned to their tools and embedded in their permanent delivery capability. The code, the architecture and a clone of the cross-project knowledge layer transfer with the strategic engagement. We are not a platform vendor; we do not replace your QS, planner or BIM manager. We give them back the week of every month they currently spend reconciling documents that ought to have been reconciled already.
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About the Company
About Leveret Systems
Leveret Systems Ltd is a UK-based integration consultancy specialising in connecting BIM/CDE platforms with enterprise systems across the architecture, engineering, and construction (AEC) industry. The company designs and builds the middleware layer that most digital engineering teams lack - custom API integrations, webhook-driven data flows, event-driven pipelines, and analytics dashboards that turn fragmented construction data into actionable intelligence.
Founded by Eben Joubert, a Systems Architect with dual Master's degrees in Artificial Intelligence (Distinction, Goldsmiths, University of London) and BIM & Integrated Design (Merit, University of Salford), backed by a full-stack integration developer, Leveret Systems brings a rare combination of deep construction domain knowledge and production-grade software engineering. Its directors are members of the British Computer Society (MBCS) and the Chartered Institute of Building (MCIOB).
CDE and BIM Platform Integration
Leveret connects Common Data Environments and BIM platforms to the wider enterprise ecosystem. Its work spans Autodesk APS (Forge), BIM 360, Autodesk Construction Cloud (ACC), ProjectWise, Asite, Aconex, and Trimble Connect - integrated with ERP systems including COINS and SAP, SharePoint, Power BI, and bespoke analytics platforms.
Deliverables include:
- REST API development and webhook orchestration
- ISO 19650-compliant information management workflows (WIP - Shared - Published - Archived)
- Model translation pipelines from Revit (RVT) and IFC to SVF2 for web-based 3D viewing via Autodesk APS
- Automated metadata enrichment, validation, and quality assurance across federated BIM models
Custom Middleware Development
Leveret builds the integration backbone that sits between platforms - not configuration or rebranded SaaS, but actual production-grade middleware with proper error handling, retry logic, structured logging, and monitoring.
- Event-driven microservices on Google Cloud Pub/Sub, Azure Service Bus, and RabbitMQ
- Webhook callback systems for real-time data synchronisation
- Data transformation pipelines from CAD geometry to business data, and from IFC to analytics-ready formats
- API gateway designs serving 78+ endpoints with sub-second response times
The distinction the firm draws here is a real one. Most CDE platforms expose APIs, but connecting two of them reliably in production - handling failures, retries and ordering - is a software engineering problem rather than a configuration exercise.
AI and Machine Learning for AEC
The company applies machine learning and natural language processing to construction and engineering data - not generic AI, but domain-specific solutions built by engineers who understand both the algorithms and the industry.
- Retrieval-augmented generation (RAG) pipelines for regulatory document analysis covering NRM2, building regulations, and standards
- Computer vision applied to satellite imagery and point cloud analysis
- Predictive analytics for construction performance across schedule, quality, and cost forecasting
- LLM-assisted content generation with human-in-the-loop quality controls
Data Engineering and Dashboards
Leveret builds end-to-end data pipelines from source systems to executive-ready reporting. When Power BI's native connectors create latency or data quality issues, the team builds dashboards from scratch.
- SharePoint and CDE data extraction pipelines
- Power BI integration with custom embedded reporting
- Real-time operational dashboards with WebSocket-driven updates
- Multimodal dataset handling across BIM/CAD models, point cloud data, and time-series sensor feeds
Why Leveret Systems
- Construction plus software - the team holds degrees in Construction Management, BIM, and AI. They don't just write code, they understand what project teams actually need.
- Production-grade delivery - not prototypes or proof-of-concepts, but production systems with logging, monitoring, error handling, and documentation.
- Platform agnostic - across Autodesk APS, ProjectWise, Asite, Aconex, and Trimble Connect, integrating whatever CDE stack is in use.
- Standards built in - ISO 19650 and ISO 27001 are baked into the delivery approach, not bolted on after the fact.
- Sustained delivery - a two-person Architect plus Developer model that sustains delivery over months, rather than advising for a week and leaving.
Recent Delivery
In a recent seven-week engagement, the team delivered:
- An enterprise quoting platform with 78+ API endpoints (Flask backend, React frontend, PostgreSQL on Cloud SQL)
- Migration of 118,000+ rows across 23 tables from BigQuery to Cloud SQL Postgres with zero downtime
- A WordPress website rebuilt as a custom React application with GA4 and GDPR Consent Mode v2
- A manufacturing team planner with Harvest time-tracking and Google Drive integration
- An AI-powered email classification agent integrated with the quoting system
Deployed to GCP Cloud Run with Docker and GitHub Actions CI/CD. Two people, seven weeks.
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FAQ
Per-project engagements run one to three weeks from data intake through to delivered analysis. Strategic embedded engagements run four to six months and include team training, tool integration and an optional managed-service tail for the first quarter post-handover.
A Revit or IFC model, plus programme or BOQ is the minimum starting point. Optional but valuable: contract programme (Primavera P6 export or revision-tracking spreadsheet), procurement schedule, specifications and standards. The messier and more inherited the project's data room, the more value Leveret typically adds — that is the work no one else wants to touch.
No. Project data stays in your tenant and your data path. What accumulates between engagements at Leveret is the pattern of work — anonymised classification fingerprints, not your model or your client data. Opt-out from the cross-project knowledge layer is available, priced accordingly.
No. The service gives the QS, the planner and the BIM manager a live, model-grounded view of the project they currently compile by hand — and steps aside once that view is running inside their workflow. The architecture, the code and the institutional knowledge transfer with the engagement.
Every committed classification carries a traceable reference back to its source. For a single element this might read "Text.ADBDescription = SOCKET outlet, switched, 13 amp, single → FFE_OUTLET" with confidence 0.97, or "procurement_schedule.xlsx · Reconciliation sheet · row 42" for a BOQ link. The project board can defend any line of the cost plan, risk register or procurement linkage with the evidence that justified it.
