Inside Enterprise Voice AI.

Four-layer architecture. Explainable AI. Built for regulated industries.

Architecture Overview

NamiTech's voice AI platform is a four-layer proprietary stack, from raw audio to business outcome, NamiTech owns and controls the core models and runtime components across the voice AI stack. Each layer is owned, trained, and improved by NamiTech's 70+ AI and data science specialists.

Enterprise buyers can deploy on Google Cloud, Microsoft Azure, AWS, or fully on-premises, with region-aware routing for data residency requirements. Selected scenarios support on-device processing, where audio is enhanced and analysed locally without leaving the device or the secure perimeter.

The Four Layers

1
Audio Enhancement
CrystalSound processes incoming audio in real time, removing noise, echo, reverb, and signal degradation before any AI analysis begins. Every downstream result is only as good as the audio it starts with.
2
Speech Recognition
NamiTech's proprietary ASR converts speech to text with dialect-aware models trained on Vietnamese and Japanese telephony corpora. NamiTech SER analyzes the voice waveform to predict emotion labels. Together, they produce the structured data every solution layer depends on.
3
Voice AI Runtime
NamiGen combines bilingual ASR, bilingual neural TTS (OmniVoice), a reasoning runtime, and a closed auto-learning loop into one integrated system. NamiTech owns every layer, so the stack is tunable for specific vocabulary, compliance policy, and regional accent variation without relying on a frozen third-party model.
4
Solution Layer
NamiGen, NamiSense, VoiceDNA, VoiceGate, and NamiKAN operate at this layer, turning structured audio data and AI inference into business-ready capabilities: automated interactions, authenticated identities, compliant recordings, scored conversations, and actionable intelligence. Notably, VoiceDNA is developed in-house by NamiTech, delivering enterprise-grade voice biometrics with capabilities comparable to leading international platforms.

Transparent by design. Auditable by requirement.

In regulated industries, a system that cannot explain its decisions cannot be trusted. Across the NamiTech platform, every model decision is traceable, every model version is logged, and every call is replayable. This is not a reporting layer added after deployment. It is built into the platform architecture.

Every scoring decision traces back to the specific audio segment that triggered it.

Every model update is versioned, tested against historical calls before release, and rollback-able by operators.

Every compliance flag includes the timestamp, transcript reference, and rule that was triggered.

Full audit logs are generated per interaction, per session, and per deployment, accessible on demand for regulatory examination, internal audit, or dispute resolution.

NamiTech is ISO/IEC 27001 certified at the company level. Selected products undergo third-party penetration testing as part of the security assessment process.

AI that knows your business. Updated by your team.

Retrieval-Augmented Generation (RAG) is the mechanism that connects NamiTech's AI runtime to your organisation's actual knowledge: products, policies, procedures, regulatory scripts, and compliance requirements. Rather than baking knowledge into a fixed model that becomes stale, NamiTech's NamiChain platform ingests and manages enterprise knowledge as a living, editable layer. When a customer asks a question, the AI retrieves the current answer from your knowledge base before generating a response. When a policy changes, your team updates NamiChain. Every AI agent and every Agent Assist response reflects that update immediately, at scale, across every channel. NamiChain automatically activates and retires knowledge based on effective dates, reducing manual effort and helping keep AI responses aligned with current policies.

For financial services, this matters because:

Product terms, rates, and eligibility rules change frequently and must be reflected accurately in every customer interaction.

Compliance scripts, required disclosures, and regulatory procedures vary by product, market, and channel.

Incorrect or outdated information in a regulated interaction is not just a service failure. It is a compliance risk.

NamiChain makes the knowledge layer auditable: every retrieval is logged, every update is tracked, and every version is retained for review.