Our Zerion AI telemetry engine evaluates high-frequency WebSocket data streams and executes multi-LLM consensus in milliseconds.
Multi-LLM Consensus
Real-Time AI Voice
Async Python Engine
Web Automation
Multi-model telemetry, voice agents, scraping pipelines, and autonomous support.
Deterministic by design.
Self-healing by default. Enterprise AI.
Engineering Autonomous AI Agents & Real-Time Automation Systems
Our AI System Performance
Our Services
Full Range of Blockchain Development and Security Management
Multi-LLM Telemetry & Consensus Engines
- Multi-model voting architecture combining DeepSeek V4, Gemini 3.6 Flash, and GPT
- Real-time WebSocket data ingestion and dynamic indicator processing
- Strict JSON schema enforcement and prompt guardrails preventing hallucination
- Asynchronous signal dispatching and custom execution hooks
Enterprise Real-Time AI Voice Assistants
- Ultra-low latency audio processing pipelines combining Speech-to-Text and TTS engines
- Integration with ElevenLabs API, Vapi, and Twilio automated call routing
- Natural conversational memory for dynamic outbound and inbound customer phone calls
- Custom fallback logic for human operator handoff
Wallet Integration and Billing
- Multi-platform conversational agents integrated with Telegram, WhatsApp, and Web APIs
- Context-aware vector database querying (RAG) using PostgreSQL / Supabase
- Automated ticket resolution, booking execution, and CRM updates
- Live agent escalation hooks and real-time conversation logging
Headless Web Automation & Data Scraping
- Asynchronous Playwright browser automation engines
- Multi-proxy routing, anti-bot bypass mechanisms, and session management
- Automated end-to-end data extraction and live database syncing (operating 24/7 on dedicated Linux VPS)
Custom Agentic Workflow Architecture
- Multi-agent supervisor networks directing specialized sub-agents
- Asynchronous task queue distribution powered by Celery, Redis, and RabbitMQ
- Custom API wrappers and RESTful microservices built in Python & FastAPI
- Production monitoring dashboards tracking LLM latency, token usage, and execution status