We gather information and extract actionable intelligence from openly available sources, including search engines, government agencies, the media, commercial data providers, public data sources, and social media using advanced text mining, web crawling, and other algorithms.

The surface web is 4% of the information on the internet and is visible to search engines like Google and Bing. The deep web is the remaining 96% of the information unavailable on search engines. We can use the deep web to locate heirs and assets without breaching copyright or privacy laws.

We can quickly and automatically analyze more extensive and complex data and deliver faster, more accurate results with machine learning techniques. We can quickly detect the correct heir, owner, asset, and other relationships or patterns.

Misspellings, typos, missing values, aliases, and nicknames are common problems with matching names. We overcome these challenges using a statistics-based system that compares and matches the names of people, places, and organizations despite their many variations.

We use robotic process automation (RPA) bots to perform repetitive, high-volume tasks. Allowing humans to focus on the things they do best and enjoy more: innovating, collaborating, creating, and interacting with clients. RPA gives us higher productivity, efficiency, and resilience

We employ Cognitive Machine Reading (CMR) to recognize, ingest and classify scanned paper documents, PDF files, and images into machine-encoded text so the data can be electronically edited, searched, stored more compactly, and used in machine processes such as machine learning and text mining.

Cloud computing facilitates scaling and growth, reduces our costs, allows us to be more agile in delivering our services, and at the same time, allows us to focus on our core business instead of expending resources on computer infrastructure.