Hercules AI, a pioneering AI company focused on the future of work, has devised an innovative approach to swiftly deploying virtual AI workers within enterprises. The company, previously known as Zero Systems, has unveiled RosettaStoneLLM, a cutting-edge model tailored to assist companies in regulated sectors automate intricate workflows that necessitate cognitive decision-making capabilities.
Referred to as an “assembly line” process, organizations have the option to select prefabricated components for the development and deployment of virtual AI workers. These components come pre-made, tested, and pre-configured, eliminating the need for custom ordering. According to Hercules AI, this method results in AI agents that are of high quality, cost-effective, and easily scalable. The only requirement is to fine-tune the model to ensure that the bot adheres to the specified workflow.
Most companies may desire a customized bot that meets their specific requirements. However, customization in regulated industries can be time-consuming and costly, potentially impacting customers. Nevertheless, entities in finance, insurance, and legal services might be more inclined towards this approach, as each component undergoes scrutiny by regulatory bodies to ensure compliance with the law and data security standards. If this approach proves successful for others in the industry, it might be worth considering. The only permissible customization would be with the large language model (LLM).
Another offering from Hercules AI is the RosettaStoneLLM, leveraging Mistral-7B and WizardCoder-13B with 7 billion parameters. This tool enables companies to convert structured data from spreadsheets, facilitating mapping and transformation by the AI. The ability to convert large volumes of structured data, commonly found in regulated businesses, into a format aligned with internal workflows can significantly enhance operational efficiency.
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Continuing its tour, Hercules AI is set to host the AI Impact Tour in Atlanta on April 10th. This exclusive event, held in collaboration with Microsoft, will delve into how generative AI is reshaping the security workforce. Limited slots are available, so secure your invite today.
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Early indications suggest that RosettaStoneLLM outperforms general GPT-4 models by up to 30% in tasks such as entity mapping and code generation.
![A screenshot of inference done using Hercules AI’s RosettaStoneLLM. Image credit: Hercules AI]()
According to a company spokesperson speaking to VentureBeat, “In the corporate realm, especially in sectors like insurance and finance, structured data plays a pivotal role in operations. For instance, consider an insurance company preparing a healthcare insurance quote for a client. The client submits their HR database information, which often arrives in diverse formats and structures, with unique naming conventions for columns, rows, and abbreviations. Traditionally, converting this data into a format compatible with the insurance company’s internal systems for analysis is a time-intensive process. However, RosettaStone can accomplish this transformation within seconds, a task that would otherwise consume hours of human effort.”
Headquartered in Campbell, California, Hercules AI has secured $12.1 million in venture funding. While specific customer figures were not disclosed, the company mentioned that it caters to Fortune 1000 companies and is utilized by 30% of the leading law firms in the United States.