SmartAlto

AI-powered real estate data enrichment and validation

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About SmartAlto

SmartAlto is a real estate data enrichment platform that uses artificial intelligence to fill gaps in contact and property records. Rather than requiring users to manually research or enter missing details, the platform automatically backfills and validates information, saving time on data quality and completeness tasks. The product is designed for real estate professionals—including investors, agents, and portfolio managers—who rely on accurate property and contact data for prospecting, due diligence, and portfolio management. By automating the enrichment workflow, SmartAlto reduces manual data entry and improves data reliability across CRM systems and internal databases.

Features

AI data enrichment
Contact information backfill
Property details validation
Automated data completion
CRM integration

Use Cases

Enriching incomplete property records with missing details
Backfilling contact information for real estate prospects
Validating existing property data for accuracy
Building complete datasets for real estate investment analysis
Improving CRM data quality for real estate agents

Pricing

Starter

Contact sales

2,000 record selection limit; 500/mo CSV downloads; 10 SMS per day

Pro

Contact sales

For most business

5,000 record selection limit; 10,000/mo CSV downloads; 35 SMS per day

Organization

Contact sales

Custom record selection limit; custom CSV downloads; custom SMS per day

Source: Pricing page (Freemium)

Frequently Asked Questions

What type of data does SmartAlto enrich?
SmartAlto enriches both contact information and property details for real estate professionals, automatically backfilling missing data and validating existing records.
Who is SmartAlto designed for?
SmartAlto is designed for real estate professionals including investors, agents, and portfolio managers who need accurate property and contact data.
Does SmartAlto integrate with CRM systems?
Yes, SmartAlto offers CRM integration to improve data quality across existing customer relationship management systems and internal databases.