LarcAI was founded in 2015 by Jannie Strydom. After successfully founding a digital business previously that focused on business intelligence and analysis, the move to robotics, artificial intelligence and automation in business was an obvious choice. Striking key partnerships with global industry leaders like Microsoft and UIPath, LarcAI has built a framework of core automation competencies that can be deployed and scaled at pace.

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Marketing and Business Development

RPA Engineer - LarcAI

**What does the technology do?**

Using existing language and data, a classification model can be trained to emulate the same results from new incoming data from any source. This classification model can be hosted locally or remotely.

**What does this mean in everyday language?**

E-mail or document content can be sent to this service to return the email or document intent. The service is trained by using already classified documents and text.

**Why do clients need this technology?**

Human interpretation, classification and processing of e-mail and documents for indexing and work allocation purposes is time consuming and costly. This also requires visual front-ends that the employee has to interact with creating extra maintenance overhead. Employee inaccuracies and inefficiencies can also result into a back log of items in ever-growing environments.

**How does it work?**

The LarcAI Indexing Solution is based on a document and e-mail classification service and customisable UiPath robotic workflows that is integrated with client systems.

The LarcAI indexing solution classify high volumes of emails and attached documents by;

·      reading instructions, documents and other communication from a number of channels such as email, chatbots etc;

·      storing the emails and attachments in a database;

·      extracting critical information from the documents and emails;

·      classifying the attached documents;

·      classifying the emails according to intend;

·      enriching the data by data sourced from databases, application user interfaces and reports;

·      uploading and updating a document management or workflow system

Using existing language and data, a classification model can be trained to emulate the same results from new incoming data from any source. This classification model can be hosted locally or remotely.