Speech-to-Text · Text-to-Speech · Conversational Voice AI
Built for Turkish. Adapted to your organization. No 3rd party solutions.
Mank Yazılım develops its own Speech-to-Text, Text-to-Speech and end-to-end Conversational Voice AI technologies, and adapts them to each organization's data, infrastructure, operational processes and security requirements. The technology is designed for real enterprise and contact-centre operations, and can run on-premise, in a private cloud, or on Mank infrastructure located in Türkiye.
AI that goes beyond talking in a demo and completes the job in live operations.
Built for real operations
Each layer can be used on its own; together they form a system that runs the call from start to finish.
A voice assistant that completes the job, not just the conversation
An end-to-end voice assistant layer that listens on inbound and outbound calls, understands intent, executes transactions in your systems and reports the outcome in natural Turkish.
Explore Voice AITurkish speech recognition built for real call conditions
A Turkish speech recognition model developed for real call-center audio, with noise, line quality, accents, dialects and the disfluencies of natural speech.
Explore STTNatural voice technology that carries the rhythm of Turkish
Text-to-speech technology that respects Turkish stress, intonation and sentence rhythm, for enterprise notifications, call flows and accessibility scenarios.
Explore TTSMank is not a wrapper that stitches together third-party chat services. It develops the speech recognition, synthesis and dialogue management layers itself, which is what makes real control over behaviour, latency and boundaries possible.
The models are developed with Turkish morphology, stress patterns and the disfluencies of spoken language in mind. This is not a general-purpose system localised through a translation layer.
The choice between on-premise, private cloud and Mank infrastructure in Türkiye belongs to the organization's data policy. Processing location, retention and access rights are configured per project.
The process is run as a whole: from discovery and success criteria to integration, controlled go-live and continuous improvement. The goal is a measurable operation, not an impressive demo.
Five stages, one flow. Every stage is bound to the organization's rule set and integrations.
Converts speech to text with low latency using Turkish-specialized STT under real call conditions.
Extracts intent, topic and required data fields, and evaluates them against the rule set defined by the organization.
Runs queries or transactions in your systems through authorized API and tool calls.
Delivers the outcome in a consistent, controlled voice suited to the rhythm of Turkish, and hands off to a human when required.
Makes the conversation summary, structured data and process metrics reportable.
Filter by category to find the scenarios closest to your own operation.
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Understanding the request through natural Turkish dialogue instead of a menu tree, completing what can be completed end to end, and handing off to the right team when needed.
Rule-bound outbound calls with controlled tone that deliver reminders, capture payment intent and write the outcome back as structured data.
Creating, rescheduling, cancelling and reminding appointments through calendar and core-system integrations without human intervention.
Confirming information according to the organization's own verification rules and safely escalating to a human when verification fails.
Retrieving current information through authorized API queries and relaying it to the customer in natural language.
Status lookups by tracking number or customer record, delivery-window guidance and address confirmation.
Short, natural and repeatable feedback conversations that collect structured satisfaction data.
Transcribing all conversations with Turkish-specialized STT and making them reportable with topic, intent and outcome labels.
Pre-qualifying inbound interest, asking fit questions and delivering a structured summary to the sales team.
Transferring the conversation to an agent together with its summary whenever there is uncertainty, objection or an out-of-policy situation.
Publishing updatable, consistently voiced notification flows produced with TTS.
Making mandatory disclosures, durations and process adherence measurable once conversations are transcribed.
| Criterion | On-premise | Private cloud | Mank infrastructure in Türkiye |
|---|---|---|---|
| Data control | Data and models stay in the organization's own data centre; access is governed by the organization's own authorization structure. | Runs in the organization's own cloud account, in a dedicated environment governed by the organization's policies. | The service is delivered from Mank infrastructure located in Türkiye; the scope of data processing is defined contractually. |
| Isolation | The highest level of network isolation; outbound connectivity requirements are defined by the organization. | A tenant-isolated environment; network and identity controls follow the organization's cloud configuration. | Per-organization isolated configuration; access and retention periods are defined per project. |
| Operating responsibility | Hardware, capacity and operations sit with the organization; Mank provides installation, adaptation and version support. | Capacity elasticity is higher; operational responsibility can be shared between the organization and Mank. | Operations and version management sit with Mank; the organization's infrastructure investment is lowest here. |
| Best suited when | When data residency and network isolation requirements are the deciding factor. | When scalability and institutional control are both required. | When a fast start and low operational overhead are the priority. |
None of the three models is universally superior. The right model follows from the organization's data policy, existing infrastructure, expected scale and operating capacity.
A voice assistant speaking fluently in a demo does not mean it completes the job in live operations. That is why the process starts with measurable success criteria and continues with a controlled go-live.
A PoC is not success. Success is measured in live operations.
Discovery
Success criteria
PoC
Integration
Controlled production
Continuous improvement
RESULTS FROM LIVE OPERATIONS
Explore the measurable outcomes created by the Voice AI solutions we develop together with enterprises.
Finance and Banking
Fibabanka’s repetitive collections calling and appointment workflows were transformed into a more scalable and measurable operation with Mank Voice AI running within the institution’s own infrastructure.
Read the Success Story40–45%
Promise-to-pay rate
30%+
Improvement compared with the previous system
Let's clarify which use case fits automation, which integrations are required and which deployment model suits your organization.
