Real Estate AI & LLM Training Data

Real Estate & Construction

Our data annotation services cover the full spectrum of LLM for real estate and construction, providing ad analysis, investment valuation and construction process automation.

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LLM Data Types for Real Estate

Property Listings Annotation

Extract key property characteristics (area, location, number of rooms) from unstructured ad text. Models compare properties more accurately and automatically generate relevant descriptions for marketplaces.

Construction Estimates Annotation

Marking material types, units of measurement, and cost of work in technical documentation and invoices. Helps LLM automate cost calculations and identify inaccuracies in a developer's financial reports.

Market Report Annotation

Annotate market news and financial analytics to predict return on investment (ROI) trends. This ensures the identification of risks and potential income for making informed investment decisions.

Legal & Permit Annotation

Marking property rights, obligations of the parties, lease terms and regulatory requirements in documents. LLM can quickly conduct audits (Due Diligence) and check compliance of construction with legislation.

HSE & Safety Annotation

Classification of incidents, potential hazards and descriptions of safety violations on construction sites. Models proactively identify risks to workers' lives and prevent emergency situations.

Blueprint Annotation

Marking text notes on architectural plans and explanatory notes on design documentation. LLM integrates with BIM systems and helps engineers find the necessary details faster in complex projects.

LLM Data Services for Real Estate & Construction

Domain Data Collection and Cleaning

Generation, collection, and standardization of large amounts of specialized data for model training.

Specialized Data Annotation

Engaging experts to label data to transform input into structured training material.

Model Fine-Tuning

Adapting generic LLMs to client-specific data so that the model better understands industry terminology and context.

Accuracy and Hallucination Audit

Systematically checking the model’s generated responses for factual inaccuracy and fabricated information (hallucinations) to ensure reliability.

Prompt Engineering

Development and optimization of prompts to maximize the quality and predictability of the model’s output.

LLM Monitoring and Support

Continuous monitoring of model performance in a production environment, tracking data drift and using feedback for regular updates.

LLM Use Cases in Real Estate & Construction

Advertisement and Search Automation

Models analyze unstructured property descriptions to extract technical, commercial, and sensor-driven characteristics from physical AI-enabled environments. They allow customers to find properties using natural language queries. As a result, LLMs can:

Extracting property attributes
Generating personalized descriptions
Creating intelligent filters

Investment Analysis and Forecasting

LLMs process annotated market reports, financial documents, and operational signals from physical AI systems to assess property profitability. Models identify patterns in price dynamics and help form investment strategies. As a result, LLMs can:

Calculating ROI indicators
Identifying market trends
Portfolio risk analysis

Legal Audit and Contract Analysis

Trained on annotated legal documents, models can quickly identify suspicious terms in contracts. Embedded AI inputs from smart buildings or IoT devices can inform compliance monitoring. As a result, LLMs can:

Contract Terms Classification
Property Verification
Streamline Due Diligence

Construction Estimate Management

Models process annotated BOMs, project specifications, and data from embedded AI-enabled construction equipment to calculate project costs. They help control costs and automate invoicing. As a result, LLMs can:

Compare supplier prices
Extract data from BOQs
Forecast budget overruns

Project Monitoring and Supervision

LLMs analyze daily site reports, supervision protocols, and real-time data from physical AI systems to track progress. This enables timely detection of deviations from schedule and technical standards. As a result, LLMs can:

Track construction milestones
Verify compliance with standards
Generate reports for investors

Site Safety and Risk Analysis

LLMs use annotated incident reports, safety regulations, and live signals from embedded AI devices to prevent accidents. Models classify hazardous situations, suggest mitigation measures, and improve overall risk management. As a result, LLMs can:

Classification of security breaches
Analysis of hazard reports
Improvement of security protocols

FAQ

How can data annotation further improve real estate search on marketplaces?

Annotators highlight specific characteristics of objects in texts, which allows LLM to understand complex user queries. This turns a simple filter search into an intelligent selection of housing based on context.

Why are industry experts needed to annotate construction documentation?

Construction texts contain complex terminology, and incorrect labeling can lead to errors in estimates. Specialists in a narrowly focused industry accurately identify the relationships between engineering components and technical requirements in documentation.

What role does annotation play in the process of automating legal due diligence?

Experts label key obligations, terms, and risks in contracts. This allows models to analyze two pages of agreements in seconds, which lawyers spend days on.

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Reviews
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"Delivering Quality and Excellence"

The upside of working with Keymakr is their strategy to annotations. You are given a sample of work to correct before they begin on the big batches. This saves all parties time and...

"Great service, fair price"

Ability to accommodate different and not consistent workflows.
Ability to scale up as well as scale down.
All the data was in the custom format that...

"Awesome Labeling for ML"

I have worked with Keymakr for about 2 years on several segmentation tasks.
They always provide excellent edge alignment, consistency, and speed...