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Product

ODIN

From Idle Infrastructure to Active Intelligence

AI-driven property management platform that turns conventional real estate assets into connected, intelligent ecosystems.

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ODIN
"Physical assets in real estate span a wide spectrum — from core infrastructure like HVAC, elevators, and energy systems to spatial assets such as rooms, floors, and building envelopes, and extend to operational assets like lighting, access controls, parking systems, and IoT sensors. "
Overview

What ODIN does

ODIN is an AI-driven property management platform that turns conventional real estate assets into connected, intelligent ecosystems. It integrates floor plans, IoT data, and asset databases into a unified platform, providing automation, predictive insights, and actionable intelligence for developers, property managers, analysts, and tenants.

Coming Soon: ODIN for Commercial Real Estate — next-gen property intelligence for workspaces and mixed-use developments.

The Problem

The Problem It Solves

Real estate assets are vast and varied, yet their data remains underutilized. Fragmented systems, manual processes, and lack of contextual intelligence lead to these gaps:

Missed opportunities in defect detection and maintenance

Underperformance in energy and ESG tracking

Frustrating tenant experiences and inefficiencies for managers

Capabilities

Key Capabilities

Automated defect detection and property commissioning insights

Predictive maintenance powered by ML and IoT sensors

AI-driven energy optimization and ESG data tracking

Conversational AI for tenant service requests and support

Contextual knowledge retrieval for asset and appliance information

How It Works

From data to decisions

ODIN transforms real estate portfolios into smart ecosystems with a modular, AI-driven architecture.

Step 01

Connectors

Interface with IoT sensors, BMS, and APIs to unify structured and unstructured data.

Step 02

Analytics Engine

Visual dashboards, KPIs, and anomaly alerts tailored to building performance.

Step 03

Agentic AI Layer

Role-aware assistants trained on your asset, operations, and history.

Step 04

Continuous Learning

Learns from tenant interactions, maintenance logs, and usage data.

Who It's For

Built for every stakeholder

Builders & Developers

  • Defect detection during DLP phase
  • Commissioning analytics & readiness insights
  • ESG and compliance data logging

Property Managers

  • Predictive maintenance scheduling
  • Smart triage of faults & requests
  • Lifecycle tracking of critical systems

Real Estate Analysts

  • Occupancy trends and density metrics
  • Operational cost benchmarking
  • Investment & portfolio performance KPIs

Tenants

  • Real-time fault alerts
  • Energy usage feedback and insights
  • Assistant-based service request handling
Benefits

What you get

Centralized asset intelligence for faster decisions

Reduced operational and maintenance costs

Enhanced tenant experience and ESG compliance

Scalable cloud infrastructure for enterprise deployments

Use Cases

Where ODIN delivers

Smart building operations and monitoring
Defect liability and asset lifecycle management
Predictive maintenance and fault resolution
AI-based energy efficiency and optimization
Tenant engagement via AI-powered assistance
Case Study

Brokerage CRM

Transforming fragmented workflows into a unified AI-powered platform

Project brief

Streamline operations across 20+ brokers using 5+ disconnected platforms by automating manual workflows (currently <1% conversion), reducing BOV creation time from 7–9 days, and enabling unified tracking and automation.

Our scope

  • AI-enabled CRM platform to unify broker operations across disconnected systems
  • Smart buyer-property matching to improve conversion from sub-1% manual workflows
  • Automated BOV generation cutting processing time from 7–9 days to minutes
  • Full deal pipeline tracking for end-to-end visibility and actionable insights

Ready to make your assets intelligent?

Across industries, critical data from assets remains unused. ASPL bridges the gap with deep engineering and multimodal AI.

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