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5151 N Oracle Rd, Tucson, AZ 85704, USA
Enable speech-to-text, voice control, and voice analytics using the latest voice models.
Get Free ConsultationAt LevelsAI, we specialize in building voice-first systems that understand, transcribe, and respond to human speech—across languages, accents, and environments.
Whether you're launching a voice assistant, automating support calls, or enabling real-time transcription, our team delivers scalable, production-ready solutions tailored to your platform. Explore our Voice AI capabilities and connect with us to integrate one or all of them into your product.
We offer strategic consulting and full-stack development to help you embed voice intelligence into your existing or new applications. Our experts guide you through speech model selection, latency optimization, and multilingual support—ensuring seamless integration and a natural user experience.
Voice AI enables real-time understanding of spoken input, while speech processing ensures clarity, accuracy, and personalization. Hire our engineers to build voice bots, transcription engines, and sentiment-aware systems that adapt to user tone and context.
Our models transcribe live or recorded audio into accurate, structured text—ideal for meetings, support calls, and content indexing.
Enable secure, voice-based user verification using pitch, tone, and speech patterns—reducing friction and enhancing security.
We design bots that detect emotion and intent in speech—helping you personalize responses and improve customer satisfaction.
Launch voice systems that support multiple languages and dialects—expanding reach and improving accessibility.
Track speech patterns, keyword triggers, and engagement metrics to optimize conversations and automate decisions.
Post-deployment, we monitor performance, retrain models, and fine-tune latency and accuracy for long-term success.
At LevelsAI, our Voice AI engineers are equipped with advanced speech technologies that transform how users interact with digital platforms
From real-time transcription to emotion-aware voice bots, we help you build natural, responsive, and secure voice-first experiences across industries.
We build systems that convert live or recorded speech into accurate, structured text—ideal for meetings, support calls, and voice notes.
Understanding what users say is just the beginning. Our NLU models extract intent, emotion, and context from spoken language—enabling smarter voice assistants, dynamic routing, and personalized responses that feel human.
Security meets convenience with our voice-based authentication systems. We analyze vocal patterns, pitch, and cadence to verify identity — reducing friction in login flows, financial transactions, and access control without compromising safety.
Reach global audiences with voice systems that support multiple languages and dialects. We build interfaces that switch seamlessly between languages, adapt to regional speech patterns, and deliver consistent performance across geographies.
Our systems don’t just listen—they learn. We track keyword triggers, sentiment shifts, and engagement metrics in real time, helping you optimize conversations, detect churn signals, and automate decisions based on voice data
Voice AI is never “set and forget.” We offer ongoing support to monitor performance, retrain models, and fine-tune latency, accuracy, and responsiveness—ensuring your voice systems evolve with your users.
Technology Stack:Python, Kaldi, AWS Transcribe, Hugging Face Transformers
A telecom provider in the US approached us to improve customer satisfaction across their voice support channels.We built a real-time speech-to-text engine paired with sentiment-aware response triggers. The system detects frustration, urgency, and confusion in live calls—and routes them to the right support tier instantly
Result:40% faster resolution time and a 25% boost in CSAT scores.
GET QUOTE FOR YOUR PROJECT Technology Stack:Amazon SageMaker, PyTorch, XGBoost, Twilio Voice
A digital bank in London needed to detect fraudulent voice interactions during onboarding and support calls.
We implemented voice biometrics and anomaly detection models that analyze tone, cadence, and speech patterns in real time.
The system flagged suspicious behavior and blocked high-risk actions—reducing fraud by 78% and improving trust across channels.
GET QUOTE FOR YOUR PROJECT
Technology Stack:Whisper, FastAPI, Elasticsearch, AWS Lambda
An OTT platform wanted to enable voice search and recommendations for multilingual users. We built a voice interface that understands Hindi, English, and Hinglish—allowing users to search shows, genres, and actors naturally.The system also tracks voice queries to personalize future suggestions.
Result:3x increase in voice engagement and 18% reduction in app churn.
GET QUOTE FOR YOUR PROJECTAt LevelsAI, we build intelligent voice systems that understand, transcribe, and respond to human speech—across languages, accents, and environments.
Our agile methodology is designed to handle speech complexity, ensuring fast execution, scalable architecture, and measurable impact.
We assign a dedicated voice AI strategist to evaluate your platform, audience, and goals. Based on your business model, we recommend the right combination of speech modalities—from real-time transcription to emotion-aware bots—and define the architecture for integration.
Our engineers analyze your audio streams, call recordings, or voice commands to identify patterns and edge cases. We build interactive prototypes that simulate speech behavior—helping you visualize how voice AI will perform in real-world scenarios before full-scale development.
We train and fine-tune speech recognition, voice biometrics, and natural language models using your data. Our team runs multiple iterations to test latency, accuracy, and multilingual performance—resolving any gaps instantly to ensure reliability.
Once validated, we integrate the final voice model into your app, dashboard, or backend via REST APIs, SDKs, or direct UI hooks. We use Slack, Jira & GitHub for transparent collaboration, milestone tracking, and seamless delivery.
We match you with the right Voice AI engineer based on your use case—whether it's building a multilingual assistant, automating support calls, or deploying real-time transcription and analytics
Your success is Guaranteed
We accelerate the launch of voice-first products and ensure measurable outcomes—from MVP to enterprise-grade rollout. Our team uses Slack, Jira & GitHub for transparent collaboration, milestone tracking, and seamless delivery.
At LevelsAI, we specialize in building intelligent voice systems that understand, transcribe, and respond to human speech—across languages, accents, and environments.
Whether you're launching a multilingual assistant, automating support calls, or enabling secure voice authentication, our team delivers scalable, production-ready solutions tailored to your business goals.
I needed a multilingual voice assistant for our healthcare app that could understand Hindi, English, and Marathi. LevelsAI delivered a solution that felt natural, fast, and context-aware. Their team was collaborative, technically sharp, and aligned with our product vision from day one.
LevelsAI helped us automate our customer support calls using real-time speech-to-text and sentiment detection. Their proactive approach to understanding our workflows and customizing the voice models made all the difference. We saw a 40% drop in call handling time within the first month.
We were exploring voice biometrics for secure onboarding in our fintech product. LevelsAI not only built a robust authentication layer but also optimized it for low-bandwidth environments. Their pricing was transparent, and we saved nearly 5x compared to building in-house.
Yes. Our speech recognition systems are trained on diverse datasets, including urban noise, call center audio, and multilingual speech. We fine-tune models to handle Indian, US, UK, and hybrid accents—even in low-bandwidth or noisy conditions.
