Speech & Language

Engineering Advanced Speech and Language Systems

We deliver enterprise-grade speech and language AI solutions that go far beyond generic LLM outputs. Using the Microsoft AI stack—including Azure Speech Services, Language Studio, Custom Neural Voice, and Cognitive Services—we design, build, and deploy bespoke solutions that serve real-world needs at scale, with full control over accuracy, latency, privacy, and compliance.

In a world saturated with plug-and-play LLMs, we help you go deeper—engineering solutions that are data-aware, model-optimized, and operationally secure.

What We Build

Custom Speech-to-Text Pipelines

We implement advanced STT systems using Azure Speech-to-Text, optimized for domain-specific vocabulary, accents, and noise conditions. Through Custom Speech models, we train transcribers to understand your organizational lexicon—legal, medical, technical, or multilingual—delivering far greater accuracy than generic speech APIs.

Text-to-Speech (TTS) & Neural Voice

Our TTS services go beyond robotic narration. Using Custom Neural Voice on Azure, we build high-fidelity, human-like voice experiences tailored to your brand. Voices can be cloned (with legal consent), fine-tuned, and deployed across channels—IVRs, chatbots, digital assistants—with millisecond latency.

Audio Input for Agents and Copilots

We integrate audio capabilities into conversational AI workflows—allowing users to speak naturally and have AI agents respond with synthesized speech. These pipelines are built using Azure Bot Framework, Copilot Studio extensibility, and real-time WebSocket STT/TTS endpoints, enabling multimodal user experiences.

Natural Language Processing (NLP)

Using Azure Language Studio and Text Analytics for Health, we build custom NLP pipelines for entity extraction, summarization, classification, and key phrase extraction—especially useful for industries like healthcare, legal, and finance where precision and privacy are critical.

Multilingual Services & Translation

We develop multilingual systems that use Azure Translator, Language Detection, and Custom Translation models to handle live transcription, captioning, and cross-language communication—all with compliance-grade data handling.

Most off-the-shelf LLMs can "do language"—but they’re not trained on your domain, don’t support real-time interaction, and often fail at data governance, model transparency, and edge deployment. Our service solves that.

By building with Microsoft’s production-ready speech and language infrastructure, we offer:

• Precision: Custom-tuned models for your vocabulary, not just general English
• Performance: Low-latency audio pipelines, ready for live environments
• Compliance: Full control over where your data lives and how it's processed
• Security: Integrated Azure authentication, encrypted endpoints, role-based access