Ekinox French & Arabic Pronunciation Assessment for SageMaker

The Ekinox French and Arabic Pronunciation Assessment Engine is a full-stack solution for autonomous language learning. Beyond a standard ML model, it combines audio-to-phoneme conversion with a business logic layer that handles pronunciation scoring, fault classification, utterance acceptance, and JSON diagnostic composition. Delivered as an Amazon SageMaker Model Package, it runs entirely within your AWS account. No audio data leaves your environment and no external API calls are made.

A free trial is available so you can evaluate the engine before committing.

• Full-Stack Assessment Engine: Incorporates a dedicated business logic layer for pronunciation scoring, fault classification, and utterance acceptance - all within a single deployable SageMaker Model Package.

• Phoneme-Level Feedback: Delivers granular scoring for French and Arabic, enabling learners to identify and correct specific pronunciation faults at the phoneme level.

• Completely Self-Contained: All audio processing, scoring, and diagnostics occur within your AWS environment. No outbound data transmissions. No external API dependencies.

• Optimized for Real-Time Use: Engineered for low-latency inference so end-users receive immediate feedback during learning sessions.

• Comprehensive JSON Diagnostics: Each assessment returns structured results including overall scores, accepted utterances, and categorized fault details.

The engine is delivered as an Amazon SageMaker Model Package. Once deployed to a SageMaker endpoint, you send audio input along with the target utterance and receive a detailed JSON response. The ML model converts audio to phoneme sequences. The business logic layer then scores accuracy, classifies faults, determines utterance acceptance, and composes the full diagnostic output.

The data flow stays entirely within your AWS account: audio input flows to the ML model, then through the business logic layer, and returns as structured JSON output - all within your SageMaker environment.

Unlike cloud-dependent APIs that route audio to third-party servers, the Ekinox engine processes everything within your own SageMaker environment. No audio recordings leave your AWS account during inference. No external API calls are made. You maintain complete control over your infrastructure, data lifecycle, and access policies. Data sovereignty and user privacy are preserved by architecture, not by policy alone.

• EdTech Platforms: Integrate automated pronunciation assessment into language learning applications. The engine provides diagnostic scores and fault classifications as a tool for learner improvement, not for grading, determining access to education, or making binding decisions about learning outcomes. EU buyers should be aware that AI systems evaluating learning outcomes may fall under the high-risk category in Annex III of the EU AI Act (Regulation (EU) 2024/1689). If your deployment falls within scope, you are responsible for conformity assessment, human oversight, and end-user transparency obligations.

• Corporate Training: Support French and Arabic language development in secure internal environments. The engine delivers pronunciation diagnostics as assistive feedback. It is not designed for employment decisions, performance evaluation, or hiring and termination outcomes. EU buyers should assess whether their deployment triggers high-risk obligations under Annex III of the EU AI Act.

• Call Centers: Assess agent pronunciation to support coaching workflows. JSON output is designed to assist human reviewers, not to replace human judgment in decisions about agent performance or employment status. EU buyers should evaluate whether use in an employment context triggers Annex III obligations.

Note on EU AI Act: The engine provides pronunciation scoring and diagnostic data. Whether a deployment constitutes high-risk AI under the EU AI Act depends on how buyers integrate and use it, not on the engine itself. Buyers in the EU are solely responsible for their legal assessment, conformity procedures, human oversight, and end-user transparency.

A free trial is available on AWS Marketplace. Deploy the SageMaker Model Package in your AWS environment and begin evaluating pronunciation assessment capabilities with your own audio data and use cases. Subscribe through this listing to start your trial today.