
Lucro is a SaaS workflow automation platform designed for the financial industry, leveraging machine learning to collect, normalize, and analyze financial data from documents. It automates asset reporting, detects accounting errors, identifies trends, and fact-checks financial statements, enabling faster and more accurate decision-making. Lucro's platform enhances operational efficiency by reducing manual data entry and human error, standardizing asset reporting, and providing rich data visualizations. It serves financial institutions, particularly in real estate underwriting and portfolio management, helping users create integrated financial models and marketing materials quickly. The company is based in Chicago and emphasizes diversity, inclusion, and a collaborative culture.

Lucro is a SaaS workflow automation platform designed for the financial industry, leveraging machine learning to collect, normalize, and analyze financial data from documents. It automates asset reporting, detects accounting errors, identifies trends, and fact-checks financial statements, enabling faster and more accurate decision-making. Lucro's platform enhances operational efficiency by reducing manual data entry and human error, standardizing asset reporting, and providing rich data visualizations. It serves financial institutions, particularly in real estate underwriting and portfolio management, helping users create integrated financial models and marketing materials quickly. The company is based in Chicago and emphasizes diversity, inclusion, and a collaborative culture.
What they do: SaaS ML-powered workflow platform for collecting, normalizing, and analyzing financial and real-estate documents
Headquarters: Chicago, IL (444 W. Lake St., 17th Floor)
Founder / CEO: Brian B. Axline
Team size (reported): 6 employees
Funding: No disclosed funding amount in provided evidence
Financial data ingestion, normalization, and analysis for underwriting and portfolio management in finance and real estate.
2015
SaaS; Financial services / Real estate technology
Total Funding: 0.00