Our platform combines cloud and edge AI to support clinicians, researchers, and health tech innovators in deploying intelligent, privacy-preserving, and real-time solutions.
Speech recognition and real-time autocorrection systems to support individuals with communication impairments.
AI models that interpret biometric and behavioral data for anomaly detection and remote diagnostics.
Embedded systems for on-site inference and triage recommendations where latency and privacy matter.
ML models for image segmentation, diagnostics, and analysis of complex biosignals like ECG/EEG.
Predictive tools for proactive care in diabetes, hypertension, and neurological disorders.
End-to-end pipeline support for health startups integrating NLP, vision, and recommendation engines.
Real-Time Speech Correction Platform for Skyline Innovation
Speech accessibility for users with dysarthria (slurred or distorted speech) remains under-supported by traditional ASR (Automatic Speech Recognition) tools.
M2M Tech helped Skyline Innovation benchmark 15 ASR models (Whisper, Parakeet, Canary, etc.), and deploy scalable cloud APIs. Key enhancements included autocorrection logic, confidence filtering, and text normalization.
Skyline is poised to release one of the few real-time, AI-powered dysarthria-friendly transcription platforms, addressing a critical accessibility gap in healthcare and education.
AI is transforming healthcare workflows-from diagnosis to therapy, from speech support to intelligent monitoring. Our platform empowers practitioners and startups to deploy AI ethically, scalably, and cost-effectively.
Seamless AI Solutions Across the Health Value Chain.
Use real-time transcription and correction tools to improve speech therapy and communication outcomes.
Integrate our SDKs for ASR, patient profiling, and chatbot diagnostics in digital health platforms.
Embed edge inference tools for on-premise analytics where privacy and latency matter.
Partner to develop smart devices with embedded predictive or corrective intelligence.
Connect wearable and environmental sensors with our models for smarter remote care.
Collaborate on AI model tuning, dataset creation, and ethics-guided innovation in health AI.