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Product

ODIN

Agentic AI Asset Management for Manufacturing and Real Estate

ODIN is agentic AI asset management software that turns plants, buildings and their connected systems into predictive, self-managing operations.

ODIN
"ODIN unifies the full asset spectrum — production equipment and utilities on the plant floor; HVAC, elevators and energy systems in buildings; and the sensors, access controls and operational systems that connect them. "
Overview

What ODIN does

ODIN is an agentic AI asset management platform for manufacturers, real estate owners and facilities teams. It connects IoT sensors, BMS and SCADA, CMMS/CAFM, ERP, and plant or floor layouts into one intelligent layer. Role-aware AI agents then detect defects, predict maintenance, optimise energy and automate service requests across manufacturing sites and commercial, residential and mixed-use portfolios.

Early access: ODIN for manufacturing sites and commercial real estate. Talk to our team at aspl.ai/contact to join.

The Problem

The Problem It Solves

Plants and property portfolios generate vast operational data from sensors, SCADA, BMS and maintenance systems, yet most of it stays trapped in silos. Fragmented tools, manual workflows, and a lack of contextual intelligence create costly gaps:

Missed defects during the DLP (Defect Liability Period — the post-handover phase when builders are responsible for fixing construction faults) and reactive, not predictive, maintenance

Underperformance on energy efficiency and ESG (Environmental, Social, and Governance) reporting required by investors and regulators

Unplanned downtime on production lines, slow service response, fragmented facilities operations, and rising cost-per-square-foot for property managers

Capabilities

Key Capabilities

Automated defect detection and commissioning analytics for new developments and DLP handover

Predictive maintenance powered by machine learning models trained on IoT sensor streams and historical work orders, going beyond traditional CAFM software's reactive ticket tracking

AI-driven energy optimization with continuous ESG data tracking and compliance-ready reporting

Conversational AI agents that triage service requests, route work orders, and answer asset queries

Contextual knowledge retrieval across plant and floor layouts, equipment manuals, warranties, and maintenance history

Open APIs and connectors for BMS, SCADA, IoT gateways, ERP, CMMS and CAFM (Computer-Aided Facility Management) systems

Defect Detection and Commissioning

Computer-vision and rule-based AI that flags construction defects, validates commissioning checklists, and accelerates DLP closure for builders and developers.

  • ▸ Image and video-based defect identification
  • ▸ Automated snag-list generation and tracking
  • ▸ Commissioning readiness scorecards
  • ▸ DLP compliance and warranty logging

Predictive Maintenance and Asset Health

IoT-native ML engine that predicts failures in production assets, utilities, HVAC and elevators before they disrupt operations.

  • ▸ Real-time anomaly detection from sensor data
  • ▸ Failure forecasting with 30 to 60 day lead time
  • ▸ Lifecycle tracking for critical equipment and building systems
  • ▸ Work-order automation and technician dispatch

Energy Optimization and ESG Compliance

AI-driven energy intelligence that reduces consumption and produces audit-ready sustainability reports.

  • ▸ HVAC and lighting load optimization
  • ▸ Line-, site- and tenant-level energy attribution and feedback
  • ▸ Carbon, water, and waste KPI dashboards
  • ▸ GRESB, BREEAM, and LEED-aligned reporting

Service and Facilities Agents

Role-aware conversational agents that handle service requests, answer asset questions, and learn from every interaction.

  • ▸ 24x7 assistant for service requests from operators, occupants and tenants
  • ▸ Smart fault triage and SLA tracking
  • ▸ Multi-channel access via web, mobile, and chat
  • ▸ Continuous learning from resolved tickets
How It Works

From data to decisions

ODIN transforms plants and property portfolios into intelligent, self-improving operations using a modular four-layer architecture built around agentic AI (autonomous AI systems that make decisions and execute actions without step-by-step human prompts).

Step 01

Connectors

Secure integrations with IoT sensors, BMS, SCADA, CMMS/CAFM, ERP, and document repositories unify structured telemetry with unstructured asset records.

Step 02

Analytics Engine

Visual dashboards, KPIs, and anomaly alerts tailored to equipment health, building performance, energy intensity, occupancy, and lifecycle costs.

Step 03

Agentic AI Layer

Named agents — the Defect Detection Agent, Predictive Maintenance Agent, Energy Optimization Agent, and Service Request Agent — make decisions and trigger workflows using your asset, operations, and history data.

Step 04

Continuous Learning

Agents improve over time by learning from service interactions, maintenance outcomes, sensor patterns, and human feedback loops.

Who It's For

Built for every stakeholder

Plant and Maintenance Heads

  • ▸ Predictive maintenance on production assets and utilities
  • ▸ Reduced unplanned downtime with early failure warnings
  • ▸ Energy per unit produced tracked across lines and sites

Builders and Developers

  • ▸ AI-powered defect detection during the DLP phase
  • ▸ Commissioning analytics and handover readiness insights
  • ▸ ESG, warranty, and compliance data logging from day one

Property and Facilities Managers

  • ▸ Predictive maintenance scheduling that cuts unplanned downtime
  • ▸ Smart triage of faults, tickets, and service requests
  • ▸ Lifecycle tracking for HVAC, elevators, and critical systems

Real Estate Analysts and Asset Owners

  • ▸ Occupancy trends, density metrics, and space utilization
  • ▸ Operational cost benchmarking across the portfolio
  • ▸ Investment and portfolio performance KPIs in real time

Occupants and Service Users

  • ▸ Real-time fault alerts and resolution updates
  • ▸ Energy usage feedback to encourage sustainable behavior
  • ▸ Conversational AI assistant for service requests and FAQs
Benefits

What you get

Centralized asset intelligence that accelerates operating decisions across plants and portfolios

Lower operational and maintenance costs through predictive, not reactive, workflows

Less unplanned downtime and faster service resolution for operators, occupants and tenants

Audit-ready ESG and compliance reporting for investors, regulators, and certifying bodies

Scalable, cloud-native infrastructure designed for multi-asset enterprise deployments

Faster developer handover with fewer DLP disputes and stronger warranty tracking

How ODIN Solves Asset Operations Challenges

Where ODIN delivers

▸ Production asset health and predictive maintenance for plants and utilities
▸ Smart building operations and monitoring led by a Facilities AI Agent that watches BMS and IoT data continuously
▸ Defect liability and asset lifecycle management driven by a Defect Detection Agent for builders and developers
▸ Predictive maintenance and fault resolution powered by an ML-based Maintenance Agent for HVAC, elevators, and utilities
▸ Energy efficiency and ESG compliance automation through an Energy Optimization Agent with carbon and KPI tracking
▸ Service requests and self-service through a conversational Service Request Agent for operators, occupants and tenants
▸ Commissioning and handover analytics for new developments, mixed-use projects, and campus expansions
Case Study

Mixed-Use Portfolio Intelligence

From fragmented building systems to a unified agentic AI operations layer

Project brief

A mixed-use real estate operator running 20 plus assets on 5 plus disconnected platforms used ODIN to unify BMS, IoT, and CAFM data into one intelligent layer. Agentic AI workflows replaced manual reporting and reactive maintenance, cutting handover and commissioning cycle time from 7 to 9 days to hours while surfacing energy and ESG insights across the entire portfolio.

Our scope

  • ▸ Agentic AI platform unifying BMS, IoT sensors, CAFM, and document systems across 20 plus buildings
  • ▸ Defect Detection Agent automating DLP snag lists and reducing builder handover disputes
  • ▸ Predictive Maintenance Agent forecasting HVAC and elevator failures using sensor telemetry
  • ▸ Energy and ESG dashboards delivering audit-ready reports for investors and certifying bodies
  • ▸ Tenant Service Agent resolving routine requests around the clock with full ticket-pipeline visibility

Ready to make AI work in the physical world?

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