Streamline support operations with our enterprise-grade AI platform. Enable real-time transcription, contextual NLU, and intelligent routing — reducing cost while improving resolution speed and quality.
Deliver human-like service 24/7 — multilingual, accurate, and always on.
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Seamlessly integrates with CRMs, ticketing systems, and internal tools — ensuring operational continuity across complex support structures.
AI agents handle voice and chat queries in real time using speech recognition, intent detection, and multilingual support — reducing queue time and cost.
Low-latency, accurate transcription powers every conversation. Supports noisy environments, multiple languages, and domain-specific models.
End-to-end encrypted communication, RBAC, and GDPR-ready architecture. Ideal for regulated industries like finance, healthcare, and telecom.
Define routing flows, escalation logic, agent fallback, and AI personas using a plug-and-play service configuration engine.
Easily connect with external systems, build on our API-first platform, and extend functionality with SDKs and webhook triggers.
Our AI-driven solutions are built to streamline customer service workflows, reduce resolution time, and deliver consistent, high-quality support across all channels. Let’s transform the way your business connects with customers.
Our intelligent support platform combines speech recognition, natural language understanding, and real-time automation to help businesses scale customer service while reducing operational costs. Experience the future of support with always-on AI agents that listen, understand, and resolve — instantly.
Real-time voice transcription
Smart routing and escalation
Multi-language support
LLM-powered response engine
Seamless CRM integration
24/7 availability with human fallback
See how top organizations are transforming customer support operations with our AI-powered call center — enhancing efficiency, reducing costs, and delivering exceptional user experiences around the clock.
“Our contact center transformation was made possible through this AI solution. Real-time voice transcription, multilingual support, and seamless integration with our backend reduced manual workload by 50%.
Operations Lead @Telecom Egypt
“The platform turned our fragmented support system into a smart, cohesive engine. Auto-routing and intent-based classification have drastically improved first-response time. It's like having an AI co-pilot in every conversation.
Customer Experience Director @Fawry
“What impressed us most was the flexibility and control — from API access to customizable escalation logic. The AI learns from every interaction, improving continuously. It’s not just automation; it’s intelligent augmentation.
IT Manager @Vodafone Egypt
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For startups and small teams looking to automate essential support tasks.
Up to 500 interactions/mo
Voice-to-text transcription
Basic AI replies (English only)
Standard support (48h SLA)
Team inbox integration
Priority routing & escalation
Best for growing businesses managing multi-channel support with automation.
Up to 5,000 interactions/mo
Multilingual AI transcription
LLM-powered response generation
CRM & Helpdesk integrations
Priority support (24h SLA)
Smart escalation engine
Customizable AI-powered workflows and analytics for enterprise-grade operations.
Unlimited interactions
Real-time dashboards & analytics
Advanced LLM customization
Dedicated account manager
Smart escalation & routing logic
24/7 Premium SLA support
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AI-driven call centers are now strategic pillars for enterprise support. Leveraging advanced real-time transcription models like FasterWhisper and WhisperX, combined with Retrieval-Augmented Generation (RAG) architectures powered by vector databases such as Pinecone, systems can interpret user intent and fetch relevant knowledge in seconds. LLMs like GPT-4 and Claude ensure responses are fluid and contextually rich. This end-to-end pipeline reduces handling time, boosts CSAT, and provides 24/7 multilingual support—transforming traditional telecom and finance service workflows.
Nour Hassan
AI Solutions ArchitectDate
2025
Building a real-time AI call center involves a seamless orchestration of speech recognition, NLP, and knowledge retrieval. Audio is transcribed live with Whisper/FasterWhisper, classified using transformers like BERT or Cohere, and routed smartly with decision trees or reinforcement agents. LLMs such as Claude or GPT-4 process context-aware prompts, pulling from enterprise knowledge bases indexed in Pinecone. Combined with streaming architectures and WebSockets, this enables low-latency, high-accuracy resolution across industries like telecom, insurance, and banking.
Omar El Saeed
Backend EngineerDate
2025
AI co-pilots are transforming how human agents operate by offering contextual suggestions, automated summaries, and emotion-aware escalation. Systems use whisper-based transcription and RAG workflows to deliver instant support suggestions. With agent-side tools built on LangChain, OpenAI Assistants API, and vector search, call summaries and resolutions are pre-filled, slashing resolution time. Real-time analytics and behavioral insights help managers optimize team performance while maintaining human empathy at scale.
Salma Adel
Product ManagerDate
2025Our support team will get back to you ASAP via email.
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