Advanced MVP / Pre-production

Real-time communication without a language barrier.

AI Translator Platform is a multilingual contact-center system that combines SIP/PSTN telephony, real-time speech recognition, AI translation and synthesized voice so an agent and a customer can communicate during the same live call even when they speak different languages.

See how it worksAcquisition opportunity
Live multilingual call SIP connected
AI
Agent ↔ Customer
Russian ↔ English
Agent · RUЗдравствуйте. Чем я могу вам помочь?
AI translation · ENHello. How can I help you?
Customer · ENI need help with my order.
AI translation · RUМне нужна помощь с моим заказом.
SIP/PSTNTelephony layer
STT → AISpeech & translation
TTS → RTPVoice delivery
Why it exists

The idea behind the project

The project began with a practical product question: can a contact-center agent and a customer speak naturally over a regular phone call even when they do not share the same language?

01

One conversation

No separate translation app for the customer. The goal is to keep the interaction inside the communication channel people already use.

02

Two languages

Speech from each side is recognized, translated and synthesized in the other participant's language during the same session.

03

A business platform

The concept evolved beyond a translation demo into a contact-center architecture with telephony, operator tools, administration and integrations.

Development journey

What has been built so far

The current system is an advanced MVP under active development. Major communication components have already been implemented and tested as an integrated architecture.

01

Core application architecture

A modular Python codebase was structured around domain logic, application services, infrastructure, desktop UI, backend APIs and persistent data.

02

SIP/PSTN telephony

SIP registration, authentication, outbound calling, RTP media, G.711 PCMA/PCMU codecs and NAT/STUN-related media handling were implemented with provider-configurable behavior.

03

Real-time AI audio pipeline

Live audio is transcribed, translated and converted back into speech through a streaming pipeline designed for bidirectional conversations.

04

Operator and administration workflows

Desktop interfaces and backend services were developed for calls, participants, SIP configuration, application settings and organization-level management.

05

Quality and reliability iteration

Work has included RTP pacing, audio resampling, speech gating, interruption handling, duplicate-fragment suppression and separation of server-managed phone audio from desktop WebSocket audio.

How it works

From live speech to translated voice

The platform connects conventional telephony with a real-time AI speech pipeline.

☎
Live callSIP / PSTN audio
STT
RecognitionSpeech becomes text
AI
TranslationContext-aware target text
TTS
SynthesisTranslated speech audio
↔
DeliveryBack to the other participant
The same pipeline operates in both directions: agent → customer and customer → agent, with separate language routes and audio handling.
Inside the product

Real application interfaces

These are real screenshots from the current AI Translator Platform MVP, showing administration, telephony, team onboarding and operator workflows already present in the product.

✓
Real product screenshots. Sensitive phone numbers, telephony identifiers and personal contact details were obscured before public display.
AI Translator Platform multilingual calls workspace
Operator & telephony

Multilingual call workspace

Operators can select a SIP account, choose agent and customer languages, use real-time translation mode and work with call history from one interface.

SIP and telephony administration
Infrastructure

SIP & telephony administration

The administration layer manages SIP providers and accounts, registration behavior, runtime status and connection controls without tying the platform to one telecom vendor.

Employee and role management
Company administration

Employees and roles

Company administrators can manage operators, supervisors and administrators with active, suspended and archived lifecycle states.

Employee invitations workflow
Team onboarding

Invitation workflow

New employees are onboarded through role-based invitations with pending, accepted, cancelled and expired states.

WhatsApp Business integration workspace
Messaging integration

WhatsApp Business architecture

The platform includes a dedicated Meta/WhatsApp Business integration area covering onboarding, messaging, call capabilities and webhook state.

Employee registration flow
Web onboarding

Employee registration

Invited team members can accept an invitation in the browser, create their account and then enter the appropriate desktop workspace.

Application structure

Workspaces and functions

The product is designed as a multi-role contact-center system rather than a single translation screen.

Operator workspace

  • Initiate and manage calls
  • Work with live call participants
  • Use multilingual voice translation during conversations
  • View call state and communication status
  • Operate through a dedicated desktop interface

Administration workspace

  • Manage companies, users and agents
  • Configure SIP accounts and providers
  • Manage AI and communication settings
  • Control application-level configuration
  • Support multi-company architecture

Telephony & media layer

  • SIP registration and authentication
  • Outbound PSTN calling
  • RTP media transport
  • G.711 PCMA / PCMU codec support
  • Configurable SIP-provider architecture

AI communication layer

  • Real-time speech recognition
  • Bidirectional AI translation
  • Streaming text-to-speech
  • Conversation-context handling
  • Interruption and audio-flow management

Messaging & integrations

  • WhatsApp / Meta integration architecture
  • Backend REST APIs
  • Real-time WebSocket communication
  • Persistent application data
  • Foundation for CRM and CCaaS integrations

Platform foundation

  • Python backend services
  • FastAPI API layer
  • PySide6 desktop application
  • SQLite persistence in the current MVP
  • Separation of domain, application and infrastructure concerns
Product roadmap & expansion potential

Built today. Designed for what comes next.

The current MVP establishes the core communication architecture. The roadmap below shows natural extensions of that foundation rather than functionality presented as already production-complete.

VO

Voice Intelligence

Add consent-based custom and cloned voices so translated speech can use an approved operator or brand voice, together with richer TTS controls and speaker adaptation.

Voice cloningCustom voicesTTS quality
AI

Multi-Model AI Engine

Support multiple STT, translation, LLM and TTS engines and dynamically select them according to language, latency, quality requirements, customer plan and operating cost.

Model routingQuality tiersCost control
∞

Enterprise Scale

Evolve the real-time contact-center infrastructure toward high concurrency through distributed workers, queues, autoscaling, health monitoring, failover and systematic load testing.

High concurrencyAutoscalingHigh availability
$

Subscriptions & Billing

Add a commercial SaaS layer with company plans, monthly or annual subscriptions, AI-minute allowances, usage-based billing, language and integration limits, and enterprise licensing.

SubscriptionsUsage billingPlan limits
LAB

Super Admin & Innovation Lab

Use the platform-level administrator workspace as a controlled environment where new AI models, telephony capabilities and integrations can be enabled and tested before selective or platform-wide rollout.

Feature flagsTestingControlled rollout
↔

Omnichannel & Automation

Expand the existing communication foundation toward unified Voice, WhatsApp, SMS, email and web chat, with AI voice agents, intelligent routing and CRM/CCaaS integrations.

WhatsAppAI voice agentsCRM
QA

AI Quality & Observability

Measure recognition, translation and speech latency and quality, compare model performance, detect problematic sessions and provide operational dashboards and alerts.

LatencyQuality metricsModel evaluation
SV

Supervisor Intelligence

Extend supervisor workflows with live monitoring, conversation summaries, call scoring, sentiment signals, agent coaching and AI-assisted quality assurance.

Call scoringSummariesCoaching
ENT

Enterprise Security & White Label

Develop audit logs, SSO, granular permissions, data-retention controls and configurable white-label deployments for BPO, telecom and CCaaS partners.

SSO / RBACAuditWhite label
Long-term product vision

From multilingual calls to an AI communication infrastructure.

The current product already brings together companies, users and roles, operator and administration workflows, SIP/PSTN telephony, real-time audio processing, speech recognition, AI translation, synthesized voice and communication integrations.

The next stage is an expansion of that foundation into a scalable commercial contact-center platform with subscriptions, multiple AI model tiers, custom voices, intelligent automation, advanced analytics, omnichannel communication and enterprise deployment capabilities.

The acquisition opportunity is not only the functionality already built — it is the architecture and development path behind it.

Acquisition opportunity

A technical foundation for a multilingual communication product.

AI Translator Platform is currently an advanced MVP / pre-production system. It may be a fit for a strategic buyer that already has distribution, contact-center customers, telecom infrastructure or an established engineering and sales organization.

A potential acquisition can include the source code, application architecture, backend services, desktop application, SIP/PSTN implementation, AI speech pipeline, database structure, configuration templates, project assets and reasonable technical handover assistance, subject to the final agreement. Third-party accounts, API credentials, SIP accounts and paid service subscriptions are not included unless separately agreed.

Explore the platformContact via marketplace listing