Industries / Real Estate

AI for Deal Underwriting, Lease Intelligence, and Portfolio Optimization

Solnix builds real estate AI that automates lease abstraction, scores acquisitions faster, and surfaces portfolio risk before it materializes, giving investment teams and asset managers a systematic edge.

85%
Reduction in lease abstraction time
4×
Faster deal underwriting
94%
Lease data extraction accuracy
$2.3M
Avg annual portfolio savings
Book a Real Estate AI Review →See a lease intelligence demoEvery asset, fully understood

The product

Solnix AI AEC Suite

Estimating, jobsite and property agents from bid day through lease-up..

One dashboard for every real estate & construction department. Each department runs its own team of agents on the systems you already use. They handle the routine steps, stop at a checkpoint for the decisions your people own, and record every step for audit.

8
department dashboards
32
specialised agents
14 days
guided tour
Solnix / AEC / Command centre
Real Estate & Construction suite overview

In the field

Drone ops and AI CAD in the AEC suite

Solnix / AEC / Drone ops
Drone opsTower B progress captureWorkers checked for hard hats, plant and material stacks tracked. How it works →
Solnix / AEC / AI CAD
AI CADTower B structural frameGenerated from a plain-language brief, dimensioned and checked by AI agents. How it works →

Inside the suite

Pick a department to see how its agents work

Takeoff & Estimate Builder

Reads drawing sets and specs, produces quantity takeoffs, prices them from cost history and levels subcontractor bids.

  1. 1Starts whenBid package uploaded
  2. 2AgentDrawing Agent
  3. 3AgentSpec Agent
  4. 4AgentPricing Agent
  5. 5AgentBid Level Agent
  6. 6CheckpointChief estimator approves
  7. 7ThenSystems are updated and the run is saved to the audit trail

Questions about the AEC suite

What is the Solnix AI AEC Suite?

The Solnix AI AEC Suite is an agent dashboard for real estate & construction with 8 department dashboards and 32 specialised AI agents. Estimating, jobsite and property agents from bid day through lease-up.

Which departments does the AEC suite cover?

Takeoff & Estimate Builder, RFI & Submittal Manager, Jobsite Safety Monitor, Work Order Concierge, Lease-Up Agent, Building Energy Optimizer, Draw Request Reviewer and Lease Abstraction. Each runs its own agent workflow with a human checkpoint and an audit trail.

What does the Takeoff & Estimate Builder workflow do?

Reads drawing sets and specs, produces quantity takeoffs, prices them from cost history and levels subcontractor bids. It starts when bid package uploaded, runs 4 agents (Drawing Agent, Spec Agent, Pricing Agent, Bid Level Agent) and stops for the chief estimator to approve.

Does the AEC suite include drone inspection?

Yes. Drone ops in the AEC suite runs missions such as tower B progress capture: workers checked for hard hats, plant and material stacks tracked. It also includes AI CAD, for example tower B structural frame.

How can I try the AEC suite?

Open https://enterprise.solnixmedia.com/realestate and verify a work email for a 14-day guided tour on sample real estate & construction data.

The Challenge

Data complexity across assets, leases, and markets

Rising rates, tenant credit risk, and operational complexity are compressing returns across every asset class.

01

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.

02

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.

03

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.

04

Valuation Accuracy

Traditional AVMs use limited comparable sets and lag market inflection points. In volatile markets, stale valuations create acquisition, disposition, and financing risk.

01

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.

02

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.

03

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.

04

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

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.

Phase 01
01

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.

Stakeholder workshopsProcess & data auditUse-case prioritizationROI & feasibility scoringRisk & compliance review
Deliverable  AI opportunity roadmap with prioritized, sized use cases and a phased delivery plan.
Phase 02
02

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.

Data integrationQuality & labelingGovernance & access controlPrivacy / compliance controlsFeature & knowledge stores
Deliverable  Unified, governed data foundation and pipelines ready for model development.
Phase 03
03

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.

Model selectionRAG & knowledge groundingAgent orchestrationPrompt & policy designEvaluation harness
Deliverable  Validated models and agents benchmarked on your data, with documented accuracy and guardrails.
Phase 04
04

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.

System & API integrationWorkflow embeddingHuman-in-the-loop designRole-based accessChange enablement
Deliverable  AI capabilities integrated into production systems with the human oversight your governance requires.
Phase 05
05

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.

Secure deploymentBias & safety testingMonitoring & observabilityAudit & traceabilityCompliance sign-off
Deliverable  Production deployment with security hardening, monitoring dashboards, and compliance documentation.
Phase 06
06

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.

Outcome measurementModel retrainingFeedback loopsCost optimizationUse-case expansion
Deliverable  Measured ROI, continuously improving models, and a backlog for the next phase of expansion.

Methodology

How Solnix Builds for Real Estate

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

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

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

AI outputs are delivered within existing analyst workflows, in Excel, Argus, or custom deal management platforms, minimizing change management friction.

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

What lease document formats can your AI handle?+
How accurate is your lease abstraction AI vs. manual review?+
Can your deal underwriting AI integrate with our Argus models?+
How do you handle data security for confidential deal information?+

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 →