Akkio

Delegate real estate data collection and analysis to AI agents.

Buildable equips real estate teams with AI analysts that automate the end-to-end data workflows for underwriting and market research. Its agents scour every touched data source—portals, spreadsheets, APIs—to collect and clean transactional, supply, demand, and pricing information. Instantly perform locational analysis with macroeconomic, demographic, and environmental data; identify the top 10 market comparables for any parcel; and evaluate pricing models with precision. Buildable’s automated report generator distills findings into investable insights, cutting analysis time by over 50%. By unifying data collection, cleaning, and interpretation into one platform, Buildable frees professionals to focus on strategy, deal sourcing, and value creation.

AI-powered database client that converts natural language queries into SQL for real estate data analysis and reporting.

Chat2DB revolutionizes database management for real estate professionals by enabling natural language interactions with property data, market information, and customer databases. The platform supports over 24 different database systems and provides AI-driven SQL generation, allowing users to query complex real estate datasets without extensive technical knowledge. Real estate companies can leverage Chat2DB to analyze market trends, track property performance, generate custom reports, and create interactive dashboards for stakeholders. The tool features automatic schema understanding, data visualization capabilities, and collaborative sharing functions that make it ideal for real estate teams managing large volumes of property data, transaction records, and market analytics. With enterprise-grade security and local data processing, Chat2DB ensures sensitive real estate information remains protected while providing powerful analytical capabilities.

Document automation platform that extracts underwriting data from CRE documents

Docsumo provides AI document processing to accelerate CRE underwriting. It includes pre-trained models for common loan documents: rent rolls, trailing-12 statements, offering memoranda, etc. Users can upload mixed files; Docsumo auto-classifies and splits them, then extracts data via OCR (including complex tables) into structured outputsdocsumo.comdocsumo.com. It supports a human-in-the-loop review step for accuracy, and validation checks to flag errors or duplicatesdocsumo.comdocsumo.com. Extracted data can be exported or integrated with downstream systems. By automating these tasks, Docsumo lets underwriting teams gather financials and tenant data in minutes rather than hours, reducing manual errors in processing CRE loan docsdocsumo.com.