ODIN

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From Idle Infrastructure to Active Intelligence.

“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

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 – Stay tuned for next-gen property intelligence for workspaces and mixed-use developments.

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:

  • Missed opportunities in defect detection and maintenance
  • Underperformance in energy and ESG tracking
  • Frustrating tenant experiences and inefficiencies for managers

ODIN addresses this by bridging operational data, asset health, and stakeholder needs—into one intelligent platform.

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

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

  • Connectors– Interface with IoT sensors, BMS, and APIs to unify structured and unstructured data
  • Analytics Engine– Visual dashboards, KPIs, and anomaly alerts tailored to building performance
  • Agentic AI Layer– Role-aware assistants trained on your asset, operations, and history
  • Continuous Learning– Learns from tenant interactions, maintenance logs, and usage data

Who It’s For

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

  • 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

  • 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.

Experience ODIN in action

Experience ODIN in action

Case Study: Brokerage CRM Case Study

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 to cut down processing time from 7–9 days to minutes.
  • Full deal pipeline tracking for end-to-end visibility and actionable insights.

Case Study: Brokerage CRM Case Study

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 to cut down processing time from 7–9 days to minutes.
  • Full deal pipeline tracking for end-to-end visibility and actionable insights.