Turn conversations into outcomes with production-grade voice AI. Austronix builds speech recognition, text-to-speech, voice agents, real-time transcription and conversational IVR systems — trained on your data, deployed securely and monitored continuously.
Voice AI is not just about converting speech to text. It is about solving business problems with voice — handling customer calls, transcribing meetings, powering voice assistants, automating IVR, analyzing conversations and enabling hands-free workflows — and doing it reliably in production.
We help enterprises design, build, deploy and operate voice AI systems that deliver measurable outcomes. Whether you need a voice agent for customer support, real-time transcription for contact centers, conversational IVR for routing, voice-enabled apps or speech analytics, we engineer the full voice lifecycle around your data and business goals.
Our approach combines audio ingestion, speech recognition, language understanding, dialogue management, text-to-speech, telephony integration, evaluation, deployment and monitoring into one coordinated delivery process. Every system is trained on your data, validated against real business metrics and deployed with the right guardrails.
We focus on voice AI systems that are accurate, low-latency and dependable in production — with barge-in handling, noise robustness, multilingual support, PII handling and evaluation frameworks built in from the start.
Enterprises see value in voice AI but struggle with accuracy, latency, accents, noise, telephony integration, compliance and cost. Our voice systems are engineered to solve these problems in real production environments.
Real-world audio is messy. We build and tune ASR pipelines for accents, dialects, background noise and telephony audio quality.
Voice agents must respond in milliseconds, not seconds. We engineer streaming ASR, fast inference and low-latency TTS for natural conversations.
Voice AI must connect to your phone systems, SIP trunks, contact center platforms and CRMs. We build the integration end to end.
Customers speak many languages across phone, app and web. We build multilingual voice systems with consistent behavior across channels.
Voice data is sensitive. We implement consent handling, PII redaction, call recording controls, retention policies and audit logging.
ASR, TTS and LLM inference can be expensive at volume. We optimize models, caching, routing and infrastructure to keep costs predictable.
End-to-end voice AI services — from strategy and data preparation to speech recognition, dialogue, deployment, monitoring and continuous improvement.
Identify the highest-impact voice use cases inside your organization and define a technical roadmap aligned with business goals.
Build accurate speech-to-text pipelines for real-time and batch transcription across languages, accents and audio conditions.
Build natural, expressive text-to-speech voices for agents, assistants, notifications and accessibility.
Build conversational voice agents that understand intent, answer questions, take action and hand off to humans when needed.
Replace rigid phone menus with natural language IVR that understands callers, routes intelligently and resolves issues.
Transcribe calls, meetings, interviews and live audio in real time with speaker separation and low latency.
Analyze voice conversations for sentiment, intent, compliance, quality and business insights.
Add voice input and output to apps, kiosks, devices and internal tools with hands-free and accessible experiences.
Connect voice AI to phone systems, SIP trunks, contact centers and CRMs with reliable call control.
Fine-tune ASR, TTS and dialogue models on your domain vocabulary, accents and conversation patterns.
Evaluate recognition accuracy, response latency, task success, tone and safety across real conversations and edge cases.
Deploy voice AI on secure, scalable cloud or hybrid infrastructure with low-latency streaming and cost controls.
Production-grade voice AI systems designed for specific industries, channels and workflows.
Handle inbound support calls, answer questions, resolve issues and escalate to humans when needed.
Qualify leads, schedule meetings, follow up on outreach and route opportunities to sales teams.
Replace phone menus with natural language understanding that routes callers intelligently.
Book, reschedule and confirm appointments by voice across phone, app and web channels.
Transcribe agent calls in real time with speaker separation, sentiment and compliance checks.
Transcribe meetings, generate summaries and extract action items automatically.
Add voice interaction to kiosks, devices and hardware for hands-free and accessible experiences.
Verify identity with voice for secure authentication and fraud prevention.
Capture clinical notes, transcribe encounters and support documentation workflows by voice.
Enable hands-free voice workflows for technicians, drivers and field workers.
Analyze calls for sentiment, compliance, quality and business insights at scale.
Serve customers across languages with consistent voice experiences and routing.
Whether you want a voice agent, conversational IVR, real-time transcription, speech analytics or a voice-enabled application — let's discuss your use cases, channels, languages, success metrics and integration constraints, and identify the right models, architecture and delivery approach.
Real outcomes enterprises see when voice systems are engineered for production.
Voice agents resolve routine calls instantly and route complex cases faster, reducing average handle time.
Voice AI serves customers around the clock without queues, wait times or staffing limits.
Automating routine calls and assisting agents reduces the cost of every customer interaction.
We empower organizations across diverse sectors with custom technology architectures designed to solve unique operational challenges and accelerate market growth.
We create secure and scalable digital solutions for healthcare providers, pharmaceutical organizations, biotechnology companies, and medical technology businesses.
Healthcare platforms, patient portals, hospital systems, and digital health applications.
Research platforms, pharmaceutical operations, data management, and biotechnology solutions.
Connected medical technology, device platforms, monitoring systems, and digital medical solutions.
A structured lifecycle that takes a voice AI system from problem definition to production deployment and continuous improvement.
We define the business problem, success metrics, call volumes, languages and constraints, and confirm that voice AI is the right approach.
We assess available audio, transcripts, vocabularies, accents and quality, and define the data and tuning strategy.
We design the conversation flows, intents, entities, fallbacks, handoff rules and tone for the voice experience.
We build and tune ASR, NLU, dialogue and TTS components with domain vocabulary and real conversation data.
We validate recognition accuracy, latency, task success, barge-in, safety and cost across real conversations and edge cases.
We deploy the system to cloud, telephony or edge environments with CI/CD, versioning and rollback.
We monitor accuracy, latency, task success, cost and safety, and alert on degradation.
We retune models on fresh conversation data and redeploy when performance or business needs change.
After launch, we improve vocabularies, dialogue, models, integrations and infrastructure as needs evolve.
The models, frameworks, telephony platforms and infrastructure we use to build, deploy and operate voice AI systems.
From focused voice agents to enterprise-wide voice AI platforms.
The architectural patterns and engineering capabilities behind accurate, low-latency, production-grade voice AI systems.
Voice AI systems process sensitive conversations, so security and compliance must be designed into the architecture from day one. We apply practical controls aligned with your policies and risk profile.
Voice AI quality means recognition accuracy, latency, task success, tone, safety and cost — validated continuously across the lifecycle.
We maintain clear communication so stakeholders understand the use cases, data, model choices, evaluation results, costs and roadmap.
Deep enterprise experience, secure engineering and a focus on production outcomes — that's how we build voice AI systems that actually deliver value.
We design voice systems for reliability, security, auditability and scale — not just demos.
We tune ASR, TTS and dialogue models on your domain vocabulary, accents and conversations so performance is relevant and accurate.
From audio pipelines and dialogue design to telephony integration, deployment, monitoring and tuning — we own the full lifecycle.
We engineer streaming ASR, fast inference and low-latency TTS for natural, real-time conversations with barge-in.
We deploy voice systems with CI/CD, versioning, rollback, monitoring and automated tuning.
Consent handling, PII redaction, retention controls and audit logging are built in from the start.
Model routing, caching, batching and monitoring keep voice AI costs predictable as call volume grows.
We continue supporting your voice systems with tuning, new languages, model updates and maintenance.
Flexible delivery models for everything from a single voice PoC to a long-term enterprise voice AI program.
Validate the value of voice AI for a specific use case or channel in a controlled pilot with clear success metrics.
Ideal For
End-to-end delivery of a clearly defined voice system with ASR, dialogue, TTS, integration and deployment.
Ideal For
A dedicated team continuously builds, improves and scales your voice AI platform across use cases and channels.
Ideal For
Flexible engineering for adding voice features to existing products or evolving voice systems over time.
Ideal For
Every engagement produces clear, reviewable artifacts across strategy, dialogue, speech, deployment and operations.
Faster resolution, lower call costs, better customer experiences and new voice channels — the outcomes voice AI delivers.
Handle calls instantly, resolve common issues without waiting and route complex cases faster.
Automate routine calls, reduce handle time and free agents for higher-value conversations.
Serve customers around the clock with voice agents that never wait, queue or go offline.
Transcribe calls, summarize conversations and suggest responses to help agents work faster.
Enable hands-free, voice-first and accessible experiences across apps, devices and kiosks.
Build voice architecture that evolves as call volume, languages, models and business needs grow.
You don't always need to build a new product. Existing applications, contact centers and internal tools can often be enhanced with voice AI features.
Launching a voice AI system is the beginning of its operational lifecycle. These systems require monitoring, evaluation, tuning, model updates, vocabulary expansion, safety updates and continuous improvement.
Voice AI is a field of AI that enables machines to understand, process and generate human speech — including speech recognition, text-to-speech, voice agents, transcription and speech analytics.
We build speech recognition, text-to-speech, voice agents, conversational IVR, real-time transcription, speech analytics, voice-enabled applications and voice biometrics.
Modern ASR can be highly accurate on clear audio, but accuracy drops with noise, accents and telephony quality. We tune models on your domain data and audio conditions to maximize real-world accuracy.
We use streaming ASR, fast inference, low-latency TTS and optimized pipelines to keep response times low — typically under a second for natural turn-taking and barge-in.
Yes. With tool and API integration, voice agents can book appointments, update records, process payments, transfer calls and trigger workflows — with confirmations and audit logs.
We build multilingual voice systems using commercial and open-source ASR and TTS models, and can tune for specific languages, accents and dialects based on your needs.
We implement consent handling, recording controls, PII redaction, retention policies and audit logging aligned with your compliance requirements and regional regulations.
We integrate with SIP trunks, PSTN, contact center platforms (like Twilio, Vonage and Agora) and CRMs using standard telephony and WebRTC protocols.
We work with OpenAI Whisper, Deepgram, AssemblyAI, Azure Speech, Google Speech-to-Text, ElevenLabs, PlayHT, GPT-4o, Claude 3.5 and open-source models — selected based on quality, latency, cost and language needs.
A focused PoC can typically be delivered in 3–6 weeks. A production voice system with ASR, dialogue, TTS, telephony integration, monitoring and tuning usually takes 8–16 weeks depending on scope and integration complexity.
Yes. We design voice systems that support phone, app, web, kiosk and device channels — with multiple languages and consistent behavior across channels.
Yes. We provide ongoing monitoring, tuning, model updates, vocabulary expansion, guardrail updates, cost optimization, new language support and analytics after launch.
As enterprises embrace AI at scale, we’re helping them transform data into intelligence, insights into action, and potential into growth. Tell us a bit more about yourself, so we can explore what’s possible together.
We'll carefully review your requirements and assess the best path forward.
One of our dedicated experts will reach out to you within 24 hours.
We'll schedule a comprehensive discovery call to deeply understand your project goals.
We'll deliver a tailored AI strategy, technical proposal, and project roadmap.
