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AI-native cloud phone and contact-center platform combining NLP call routing, an AI receptionist and real-time supervisor analytics.
AI chatbot builder that trains a support agent on your website content in minutes to deflect tickets and capture leads with cited answers.
Developer framework and LlamaParse service for parsing documents and building AI agents and RAG workflows over them.
AI knowledge platform (Alani) that turns files, video, audio and docs into cited, source-grounded answers with persistent memory.
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- ✦AI receptionist that answers and routes calls in natural language
- ✦Omnichannel contact center across voice, SMS, chat and WhatsApp
- ✦Live call transcription and per-call sentiment scoring
- ✦CRM click-to-call with automatic activity logging
- ✦Business SMS/MMS with carrier registration handled for you
- ✦Real-time supervisor dashboards and QoS telemetry
- ✦Fast setup trained directly on website content
- ✦Answers cited back to source content
- ✦Inbound lead capture with automated follow-up
- ✦Integrations with existing support/marketing stack
- ✦Self-improving responses over time
- ✦LlamaParse document parsing and extraction
- ✦Open-source framework for AI agents and workflows
- ✦Document indexing for retrieval/RAG
- ✦Prebuilt solutions by industry and use case
- ✦Free starter credits for LlamaParse
- ✦Source-cited, grounded AI answers
- ✦Persistent memory across sessions
- ✦Video, audio, PDF and doc parsing
- ✦Choice of LLM (GPT, Claude, Gemini)
- ✦Alani Hub, Connect and Insights products
- ✦Collaboration and sharing
- ✦Enterprise-grade privacy
- →Replacing a legacy PBX with cloud phone plus AI receptionist
- →Contact centers wanting live sentiment tracking and agent coaching
- →Sales teams needing CRM-integrated calling and texting
- →Multi-site operations needing unified call analytics
- →SaaS companies deflecting repetitive support questions
- →Marketing teams capturing and qualifying leads via chat
- →Support teams wanting AI answers backed by verifiable sources
- →Parse complex documents for AI apps
- →Build RAG and agent workflows
- →Automate invoice and claims processing
- →Search across technical documents
- →Personal 'second brain' knowledge base
- →Verified research and analysis
- →Content communities and monetization
- →Enterprise data workflows and insights