Data Science

Powering Our Platform Through Innovative Technology

We embed artificial intelligence and advanced analytics across our investment lifecycle and operating platform. We’ve moved decisively beyond basic productivity tools into enterprise-scale, proprietary AI capabilities that create measurable value for investors and shareholders.

our approach

A strong foundation, built for scale

Years of strategic investment in PropTech, data infrastructure and AI have created a foundation that is both scalable and future‑ready. We’ve deployed enterprise and proprietary AI platforms organization‑wide, establishing AI literacy, reusable workflows and a culture that embraces experimentation and adoption. This foundation accelerates model development, standardizes deployment and ensures that innovation in one business unit benefits the entire platform.

Faster Time-to-Value

Pre‑built pipelines, shared feature stores and common data standards reduce build times and integration costs, so teams can iterate faster and achieve impact sooner.

Consistency and Scale

Use cases can be replicated across portfolios (commercial, residential and credit) without bespoke rework - reducing variability and creating durable, repeatable value.

Reliable Measurement

A unified approach enables apples‑to‑apples KPI tracking (e.g., cycle time, win rates, underwriting input consistency, opex efficiency and unit‑economics improvement).

Operational leverage

Surfacing potential. Accelerating execution.

AI enhances how we originate, evaluate and prioritize opportunities. By fusing data with operator insight, we shorten evaluation cycles, strengthen conviction and improve the precision of capital allocation.

Automates insurance compliance checks, cutting review time by ~80% and reducing exposure to coverage gaps.

Provides 24/7 support for tenants, residents and internal teams - raising service levels while limiting incremental staffing needs.

Autonomously identifies and scores potential deals by fusing market data, property signals and historical outcomes – expediting sourcing and enabling disciplined, data-rich shortlists.

A machine learning tool that surfaces performance drivers and risk patterns from historical datasets to inform underwriting, scenario analysis and targeted diligence.

Scores demand sources, optimizes budget allocation and personalizes outreach cadence to lift conversion quality.

Extracts critical terms, flags non‑standard language and routes exceptions -accelerating diligence and standardizing risk controls.

Governance & Discipline

Prioritizing Strategic AI Initiatives

Our dedicated AI Steering Committee ensures that every initiative is prioritized by business impact, risk and feasibility. We apply stage-gate governance with clear KPIs, model risk controls and return threshold, so capital is deployed where it compounds.

Business-Case First

Each initiative has quantified benefits (e.g., cycle-time reductions, opex savings, origination velocity, accuracy lifts) and a defined payback horizon.

Model Governance

Bias detection, performance monitoring, explainability requirements and regular checkpoints for high-stakes decisions.

Data Integrity

Lineage, quality controls and secure access patterns ensure trusted inputs and reliable outputs across the platform.

Operational Readiness

Change management plans, training and adoption metrics to ensure tools are used as intended and deliver sustained value.

Let's talk opportunities

In a market flooded with promises, we lead with proof.

Explore our track record, see the market from our perspective and allow us to introduce you to our team.