The global leader in ESG data intelligence for real estate portfolio decarbonization.
Deepki is a comprehensive ESG (Environmental, Social, and Governance) data intelligence platform specifically designed for the commercial real estate sector. Its core architecture, the 'Deepki Ready' SaaS platform, leverages sophisticated data collection automation to aggregate information from over 600 utility providers, smart meters, and property management systems. In 2026, Deepki positions itself as a critical infrastructure for asset managers and institutional investors navigating stringent European regulations like SFDR, CSRD, and the EU Taxonomy. The platform utilizes advanced machine learning algorithms to bridge data gaps—often the biggest hurdle in property management—by modeling missing consumption data based on building physics and historical patterns. Beyond simple reporting, Deepki provides predictive analytics to simulate renovation impacts and carbon trajectory alignment with the CRREM (Carbon Risk Real Estate Monitor) pathways. This enables real estate leaders to identify 'stranded assets' and optimize capital expenditure for energy-efficient retrofitting. Its market position is solidified by its dual-offering of high-integrity software and strategic ESG advisory, making it a pivotal tool for achieving Net Zero targets across complex, global property portfolios.
Deepki is a comprehensive ESG (Environmental, Social, and Governance) data intelligence platform specifically designed for the commercial real estate sector.
Explore all tools that specialize in energy performance benchmarking. This domain focus ensures Deepki delivers optimized results for this specific requirement.
A proprietary benchmark that allows users to compare their building's performance against a massive database of anonymized real estate data across Europe.
Machine learning models that utilize building metadata and external weather data to estimate consumption when utility data is missing.
Native integration of the Carbon Risk Real Estate Monitor to track assets against 1.5°C and 2°C decarbonization pathways.
Pre-configured templates that map internal data points to specific regulatory disclosure requirements.
A tool that allows asset managers to simulate the ROI and carbon reduction of specific building interventions (e.g., HVAC upgrades).
A secure interface for tenants to input their own data and view their contribution to the building's ESG goals.
Unified data pipeline that normalizes data from disparate sources like Enedis, GRDF, and various BMS systems.
Portfolio structure definition and asset mapping within the Deepki Ready environment.
Configuration of automated data connectors for utility providers and smart meter gateways.
Initial data ingestion and cleansing using Deepki's proprietary validation engine.
Identification and remediation of data 'white spots' using AI-driven estimation models.
Setup of ESG reporting frameworks (e.g., GRESB, SFDR, or local regulations).
User permissioning and role-based access control (RBAC) implementation for property managers.
Baseline energy consumption and carbon intensity calculation for the entire portfolio.
Alignment with CRREM pathways to identify assets at risk of stranding.
Development of customized KPIs and dashboard views for different stakeholder levels.
Final validation of the automated audit trail for external reporting verification.
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"Users praise the platform for its powerful automated data collection which significantly reduces manual workload, though some find the initial setup phase complex."
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