This established US company is offering a portfolio of Agentic AI assets that use natural language processing (NLP) and machine translation (MT) technologies. These technologies take advantage of the massive growth by Nvidia (NIMS), OpenAI (ChatGPT), IBM (WatsonX), Microsoft (Copilot) and others who seek AI software solutions. This company’s tools add a key semantic layer that enhances reasoning, enables faster model training, and deftly handles nuances.
The centerpiece of the portfolio is a Controlled Language program with algorithms that use NLP to improve clarity, readability, standardization and language translatability. The software applies thousands of AI rules to perform morphological analyses, text disambiguation, tokenization, POS tagging, named entity detection, chunking, parsing, semantic layering and predictive logic. Complex technical information is recast in a succinct format that humans, robots and computers can understand.
The portfolio includes text mining and lexicon management tools, and the software understands text formats, including Word, structured documentation XML, DITA and HTML. For enhanced reasoning, users can create custom dictionaries containing industry and company-specific terminology.
The company’s focus has been on regulated industries for standards compliance and risk mitigation. The portfolio assets help companies comply with US Department of Defense and NATO mandates requiring compliance with Simplified Technical English (STE) for mission-critical software and documentation. The portfolio includes an Aviation English version developed to improve airline pilot and FAA control tower communications.
The technology would provide a competitive advantage to any company focused on sustainability and digital transformation—particularly those in the cybersecurity, product safety, supply chain, digital workforce education, digital twins, AR training, IoT platforms, edge device and smart machine segments.
A key portfolio asset is an application developed for a multinational telecommunication company to mitigate errors in broadband network software documentation at Verizon, China Mobile, NTT and other carriers—which the client credited with reducing procedural errors by 42%.
The software complies with the US Government Plain Writing Act of 2010, which requires all federal executive agencies to use Plain English. The new DOGE mandates that government agencies remove jargon, idioms and pretentious language that can negatively affect customer satisfaction. The software is ideal for the delivery of government and citizen services information.
The estimated time to build an AI engine of this level is seven years. These assets can be operational and ready to scale in 30 days.
