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Real Estate 6 months

PropTech Valuation Platform for NexaRealty

Built an AI property valuation platform processing 500,000+ properties monthly with 96% accuracy within 5% of sale price.

Machine Learning Custom Software Development Data Analytics & BI
Verified Results NDA Signed US-Based PM Fixed Price
96%
Valuation Accuracy
500K+
Properties/Month
-95%
CMA Time
-80%
Agent Variance
96%
Valuation Accuracy
500K+
Properties/Month
-95%
CMA Time
-80%
Agent Variance

The Business Challenge

NexaRealty agents were producing manual CMAs that took 3+ hours each and relied heavily on subjective judgment. Valuation variance between agents on identical properties exceeded 15%, causing deals to fall apart and client trust to erode.

For many Real Estate organizations across the United States, this type of operational bottleneck is all too familiar. Manual processes, legacy systems, and disconnected workflows create compounding inefficiencies that cost both time and revenue — often without leadership having a clear line of sight into the true cost.

NexaRealty needed a partner who understood the technical complexity and the business urgency. Delivery speed mattered, but so did long-term maintainability, security, and the ability to scale as the business grew.

Our Solution

We built an AVM platform trained on 5M+ historical transactions, integrating MLS data, tax records, satellite imagery features, and local market indicators. The system generates valuations in under 30 seconds with confidence intervals and comparable selection transparency.

Our engineering team architected the solution with production scalability in mind from day one — not as an afterthought. Every component was evaluated against real-world load expectations, and the system was designed to handle growth without requiring expensive re-architecture six months after launch.

We maintained weekly video demos with NexaRealty's leadership throughout the build. This meant no surprises at launch and full stakeholder alignment at every milestone. Every sprint delivered working, tested software — not just progress reports.

Our Approach

We trained gradient boosting models on geographic micro-markets, with separate models for property types. An LLM layer generates the narrative explanation of valuation factors. Agents review AI output and can override with documented justification.

How We Delivered It

Every TechVerse project follows a structured delivery process designed to minimize risk, maximize transparency, and get working software in front of stakeholders as fast as possible. Here's how we approached this Real Estate project:

1

Discovery & Scoping

2-week paid discovery sprint with NexaRealty to map requirements, define acceptance criteria, and produce a fixed-price project plan. No surprises after sign-off.

2

Architecture & Technical Design

Senior engineers design the full technical architecture before writing production code. Every decision is documented and reviewed with stakeholders.

3

Agile Delivery in 2-Week Sprints

Working software delivered every sprint. Weekly video demos with NexaRealty leadership kept all stakeholders aligned throughout the 6 months.

4

QA, Security & Performance Testing

Every feature is tested against acceptance criteria before it is considered done. Load testing and security review happen before any production deployment.

5

Launch, Handover & Support

Structured go-live with dedicated hypercare support. Full code ownership transferred to the client along with documentation, runbooks, and knowledge transfer sessions.

Measurable Business Impact

Results were measured against pre-project baselines established during our discovery phase. Every metric below reflects documented before/after comparisons, not projections or estimates.

96%
Valuation Accuracy
500K+
Properties/Month
-95%
CMA Time
-80%
Agent Variance
380
Return on Investment
Measured within 12 months of project launch
"

Our agents now produce CMAs in 5 minutes instead of 3 hours, and the accuracy has improved dramatically. TechVerse delivered exactly what they promised on time and budget.

S
Susan Lee
CEO, NexaRealty

Why This Project Matters

The Real Estate sector in the United States is undergoing rapid digital transformation. Organizations that invest in custom software and AI-powered automation today are building structural advantages that will be extremely difficult for competitors to close — lower cost structures, faster response times, and better customer experiences compounding year over year.

This project for NexaRealty is a strong example of what's achievable when business requirements are clearly defined, technology choices are made deliberately, and delivery is structured around measurable outcomes rather than billable hours.

For US companies in the Real Estate space evaluating similar investments: the ROI case is typically clearer than expected, and the risk is manageable with the right partner and the right contract structure. Fixed-price engagements with milestone-based payments and clear acceptance criteria protect both sides and keep projects on track.

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Project Details

ClientNexaRealty
IndustryReal Estate
Timeline6 months
Team Size7
ROI380
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Technologies Used

Python Django React PostgreSQL AWS SageMaker XGBoost OpenAI MLS RETS API Redis Celery

Services Delivered

Machine Learning
Custom Software Development
Data Analytics & BI
3 slots open · AI-first development

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150+
Projects Delivered
80+
Happy Clients
98%
Satisfaction Rate
48h
Average Kickoff