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Solutions · AI Platform
One AI backend for devices, apps and services
Speech, translation, summaries and LLM assistants behind a single API — with billing, monitoring and a choice between the cloud and your own servers.
Capabilities
Platform capabilities
Building blocks that can be combined for a specific product.
Speech-to-Text
Accurate transcription with timestamps and speakers, in batch and streaming modes.
Text-to-Speech
Natural voices for assistants, reading and notifications in several languages.
Real-Time Translation
Speech and text translation with low latency for conversations and travel.
Meeting Summarization
Summaries, decisions and action items from recordings and calls.
LLM Integration
Commercial and open-source models behind one interface, with prompts and quality checks.
AI Agents
Assistants that use tools and data under clear permissions and audit.
API Gateway
One entry point with keys, quotas, rate limits and usage metering.
Subscription Billing
Plans, limits and payments tied to usage of AI features.
Cloud and On-Premise Deployment
Public cloud, a private cloud or the customer's own servers when data must not leave.
Models are chosen for each language and task; personal data stays where the law and the customer require.
Technology
Models and infrastructure
- Whisper-class ASR
- Neural TTS
- Open-source LLMs
- Commercial LLM APIs
- RAG
- Kubernetes / Docker
- GPU / Apple Silicon
- Observability
- Data encryption
Can the platform run without foreign cloud services?
Yes. Open-source models can run on the customer's servers or in a local cloud, which matters for personal-data rules in Russia and other countries.
Which languages are supported?
Russian, English and Chinese are the priority; other languages depend on the chosen models.
Next step
Building a device that needs software, AI or a market?
Tell me about your product and the kind of cooperation you are considering. I reply personally.