The Challenge
Data complexity across assets, leases, and markets
Rising rates, tenant credit risk, and operational complexity are compressing returns across every asset class.
Lease Abstraction Volume
Enterprise portfolios with thousands of leases face a manual abstraction backlog that delays acquisitions, creates compliance risk, and obscures portfolio exposure. Manual abstraction costs $200–500 per lease.
Deal Pipeline Speed
Investment committees that can underwrite and respond to deals faster gain systematic advantage in competitive markets. Manual comp analysis, rent roll review, and market research create 2–4 week delays.
Tenant Credit Risk
Tenant distress signals appear in news, public filings, and operational data before they show up in rent rolls. Most asset managers lack the systems to monitor tenant health at portfolio scale.
Valuation Accuracy
Traditional AVMs use limited comparable sets and lag market inflection points. In volatile markets, stale valuations create acquisition, disposition, and financing risk.
Education AI Solutions
AI systems for CRE investment, asset management, and brokerage
Lease Intelligence AI
NLP systems that abstract key economic and legal terms from lease documents with 94%+ accuracy, handling gross, net, and modified gross structures across office, retail, and industrial.
Deal Underwriting Automation
AI that processes offering memorandums, rent rolls, and market data to produce underwriting models in hours rather than days, flagging key risks and assumptions for analyst review.
Tenant Health Monitoring
AI that monitors tenant news, public filings, foot traffic data, and credit signals across your portfolio, surfacing distress indicators before they impact rent collections.
AVM & Valuation AI
ML valuation models trained on transaction data, market conditions, and property characteristics, producing defensible valuations with confidence intervals and comparable explanations.
Market Intelligence
AI aggregation of CoStar, CBRE research, news, and economic data into portfolio-specific market intelligence dashboards, updated in real-time as market conditions shift.
Investor Reporting AI
Automated generation of LP reports, asset management summaries, and board packages from underlying portfolio data, reducing reporting cycle time from weeks to hours.
End-to-End Implementation
End-to-end AI implementation for real estate
Solnix delivers the full lifecycle, from opportunity mapping through production deployment and continuous improvement. The same proven methodology powers every real estate engagement, tailored to your systems, data, and regulatory environment.
Discovery & AI Opportunity Mapping
We start by understanding your operations, data landscape, and goals, then map where AI delivers measurable value and where it does not. Every engagement begins with a prioritized opportunity backlog, not a technology pitch.
Data Foundation & Readiness
AI is only as good as the data behind it. We assess data quality, connect fragmented sources, and build the secure, governed pipelines that production AI depends on, with privacy and compliance designed in from the start.
Model & Agent Development
We build the models, retrieval systems, and AI agents tailored to your use cases, selecting the right approach (fine-tuning, RAG, multi-agent orchestration) for accuracy, cost, and latency, and validating against your real-world edge cases.
Integration & Workflow Embedding
AI only creates value when it lives inside the tools your teams already use. We embed models and agents into existing systems, surfaces, and workflows, so adoption is natural and human-in-the-loop controls stay in place.
Deployment, Security & Compliance
We deploy to production with the security, monitoring, and compliance controls enterprises require, including bias and fairness testing, audit logging, and the observability needed to operate AI responsibly at scale.
Optimization & Continuous Improvement
AI systems improve with use. We measure outcomes against the goals set in Phase 01, retrain and tune from live feedback, and expand to the next set of use cases, turning a single deployment into a compounding capability.
Methodology
How Solnix Builds for Real Estate
01, Portfolio Assessment
01, Portfolio Assessment
We map your existing lease data, property management systems, and investment workflows, identifying where AI can eliminate manual processing and accelerate decisions.
02, Data Integration
02, Data Integration
We integrate with Yardi, MRI, Argus, CoStar, and custom data warehouses. AI enrichment layers are built on top of existing property management and investment platforms.
03, Document AI Training
03, Document AI Training
Lease abstraction models are fine-tuned on your specific document formats and asset types, achieving accuracy levels required for legal and financial reliance.
04, Investment Team Workflow Integration
04, Investment Team Workflow Integration
AI outputs are delivered within existing analyst workflows, in Excel, Argus, or custom deal management platforms, minimizing change management friction.
05, Portfolio Monitoring & Alerts
05, Portfolio Monitoring & Alerts
Ongoing monitoring systems alert asset managers to tenant distress signals, lease expiration risks, and market valuation movements that require action.
FAQ
Questions from investment officers, asset managers, and CDOs
Get Started
Underwrite Faster. Manage Smarter.
Solnix builds real estate AI that gives investment and asset management teams a systematic edge, from deal screening to portfolio optimization.
Request a Real Estate AI Assessment →