By Reginald Aearhart
Artificial intelligence is increasingly being applied to areas where communication gaps carry real consequences. One of those areas is accessibility for deaf and non-verbal communities. Esther Oyindamola Oyanibi’s work focuses on building practical AI systems designed to reduce those barriers.
Oyanibi is the founder of Neosignis, an AI-powered communication platform developed to support real-time interaction between sign language users and spoken-language users. The system is designed for bidirectional use, translating sign language into speech or text and converting spoken language into visual outputs with applications across healthcare, education, and workplace settings.
Her work in this area builds on peer-reviewed research examining the technical requirements of real-time sign language translation systems. In 2023, she published “AI-Driven Real-Time Sign Language Translation Systems for Enhancing Communication Between Deaf Individuals and Hearing Communities Globally” in Computer Science & IT Research Journal (Vol. 4, Issue 3). The paper evaluates the use of computer vision models and deep learning frameworks for gesture recognition, while addressing challenges such as model latency, dataset limitations, and contextual accuracy.
She has also published research on cross-cultural considerations in AI translation systems in the International Journal of Computer Applications Technology, and contributed a 2025 study in the World Journal of Advanced Engineering Technology and Sciences exploring speech-to-text and gesture recognition systems for autistic individuals with complex communication needs.
Sign languages are structured linguistic systems with distinct grammar and syntax, making automated interpretation significantly more complex than basic transcription. Research in this field continues to examine how machine learning models can account for variation in signing style, regional differences, and real-world environmental constraints.
Neosignis was developed as an effort to move beyond conceptual modeling toward deployable infrastructure. Real-time assistive communication tools must operate within strict latency thresholds and maintain contextual reliability in live settings. Applications in clinical environments, classrooms, and enterprise meetings introduce additional demands related to privacy, accuracy, and system resilience.
Before founding Neosignis, Oyanibi worked in enterprise digital systems where performance standards, reliability benchmarks, and measurable operational outcomes were core requirements. That background informs the platform’s emphasis on structured development and deployment discipline.
Oyanibi holds an MBA from Cornell University’s SC Johnson College of Business, along with a Master of Science in Brand and Media Strategy from East Tennessee State University and a Bachelor’s degree in Business Communications from Osun State Polytechnic. Her academic and professional work converges around a consistent focus: applying technical systems thinking to communication challenges that affect access and participation.
As AI systems become more integrated into public and private infrastructure, accessibility remains a technically demanding but increasingly visible area of development. Through both research and applied platform design, Oyanibi’s work contributes to ongoing efforts to build communication systems capable of functioning in real-world, high-stakes environments.
