Case Study · Neural TTS Deployment

Sovereign Voice Engine for Mongolia, human grade AI synthesis.

How Bloomlink bypassed cloud costs and data latency with a custom built, self hosted neural synthesis platform.

Client Bloomlink

Published Updated

Industry
Telecommunications
Service
Neural TTS Deployment
Language
Mongolian
Deployment
On Premise (Docker)
Client
Bloomlink
Sector
Telecommunications & AI
Engagement
Self Hosted Neural Voice Engine
Tech Stack
Neural TTS, Docker, RESTful API
Key Result
$0 Recurring Per Transaction Cost
The Challenge

Human grade Mongolian speech, without the cloud tax.

Bloomlink needed to bridge the gap between high end AI vocal quality and the strict requirements of local infrastructure, without the unpredictable cost and latency of commercial cloud TTS.

  • 01

    Unpredictable costs: commercial TTS engines like Google or AWS billed per character, creating runaway monthly overhead.

  • 02

    Data security risk: sending sensitive customer data to external clouds for processing introduced latency and exposure.

  • 03

    Language gap: most commercial voice engines don't handle Mongolian tonal nuance at a human grade quality bar.

  • 04

    Sovereignty requirement: the mission required a fully self hosted system with zero ongoing per call licensing fees.

Croncore's Approach

A specialized middleware layer, built for telephony.

We engineered a bridge between a world class neural voice engine and Bloomlink's internal systems, delivering the gold standard of Mongolian speech without the per call tax of big tech providers.

01

Neural Engine Integration

Deployed a high fidelity neural voice engine capable of sophisticated prosody, handling the complex tonal shifts of Mongolian without sounding robotic.

02

Telephony Optimized Audio

Built a custom conversion pipeline outputting Asterisk compatible audio (1 channel, 8000Hz, 16 bit PCM WAV) for seamless playback in call centers and IVR systems.

03

Linguistic Pre Processing

Developed a custom pre processor that translates symbols and numbers into full phonetic Mongolian equivalents before they reach the voice engine.

04

Containerized Deployment

Packaged the entire stack into a Docker based architecture so Bloomlink could deploy and scale across private servers in minutes.

How We Worked

A five step path from problem to production.

A repeatable delivery method we run on every AI engagement, tuned to this project's data, integrations, and quality bar.

01

Discover the problem

We map the workflow, data, and KPIs that show exactly where the manual process breaks down.

02

Design the system

We architect the agent, model, or pipeline and choose the integration points into your existing tools.

03

Build & train

We develop the engine, fine tune it on your real data and voice, and wire it into production systems.

04

Test & harden

We validate quality, edge cases, and failure modes before anything touches a real customer.

05

Launch & scale

We ship to production with monitoring in place, then iterate based on real usage.

The Outcome

From concept to enterprise grade voice infrastructure.

Bloomlink transitioned from a conceptual need to a fully functional, enterprise grade voice infrastructure running entirely on its own servers.

$0
Recurring fees, no more per character API billing.
Instant
CRM integration with zero changes to existing tools.
100%
Phonetic accuracy on currency, dates, and percentages.
Infinite
Scalability with no cloud provider rate limits.

The team is really professional and did very well with project. We will work with them again.

Otgonkhuu Amsarvaa, CEO, Bloomlink
Let's Talk

Have an AI project like this in mind?

Croncore designs and ships production AI systems, agents, voice engines, and custom models end to end, with the engineering rigor production systems demand.

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