Developed with industry leaders






AI-Powered Speech Analysis for Real-World Success
Speechsquare is an advanced AI tool designed to help individuals and organizations improve spoken language skills with precision. Our technology analyzes pronunciation, fluency, and clarity in seven languages—providing data-driven feedback to enhance communication.







Industry-Driven Solutions Designed with You
Who Benefits from Speechsquare?
- Language Specialists – Improve pronunciation and fluency for language learners.
- Career Advisors – Prepare candidates for interviews with clear, confident speech.
- Learning & Development Teams – Help employees communicate effectively in global roles.
- Talent Acquisition Teams – Assess language proficiency quickly and accurately.
- PR Agencies – Ensure clients sound polished and professional in foreign-language media.
- Special Education – Monitor and celebrate even the smallest steps of speech and language growth, supporting diverse learning needs.
Speechsquare helps people speak confidently, whether learning a new language, preparing for an important interview, or expanding their career internationally.
Language
Specialists
Learning
& Development
Talent
Acquisition
Automate the assessment of language skills against role-specific content. Access results and data dashboards to ensure only qualified candidates proceed to interview.
Media
Training
Ensure your client communicates confidently through interactive speech practice, with personalized audiovisual feedback, while providing you with valuable data.
Special
Education
Create personalized content with customizable themes and engaging sounds to enhance speech development and boost spoken confidence in a supportive environment.
Education
Technology
Enhance the effectiveness of your solution by integrating our advanced AI Speech Analysis technology and access data analysis tools through our platform.
Advancing Social Outcomes
- Improve access to quality education
- Reduce the cognitive load on essential workers
- Eliminate unconscious bias in critical technology
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