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Realtime voice AI platform offering low-latency TTS, STT and multi-provider LLM routing for developers building conversational apps.
Enterprise conversational-AI suite from FPT for chatbots, voice agents, eKYC and document automation across industries.
Enterprise Work AI platform for company-wide search, an AI assistant and building governed agents across 250+ connectors.
Weights & Biases is a widely used MLOps platform for experiment tracking, model management and evaluating AI applications.
Fast, low-cost AI inference provider running LLMs on custom LPU chips via GroqCloud's pay-as-you-go API.
No public pricing
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No public pricing
No public pricing
- ✦Realtime TTS-2 with voice cloning, design and inline direction
- ✦Speech-to-text with voice profiling, diarization and timestamps
- ✦End-to-end speech-to-speech Realtime API over WebSocket/WebRTC
- ✦LLM Router across OpenAI, Anthropic, Google and 220+ models at cost
- ✦100+ languages with cross-lingual voice cloning
- ✦SOC 2 Type II, HIPAA and GDPR compliance
- ✦Chatbot and conversational-AI building platform (Chat/Engage)
- ✦AI voice agents and text-to-speech (Voice Maker)
- ✦eKYC identity verification
- ✦Document reading and automation (FPT AI Read)
- ✦AI agents for customer service and knowledge management
- ✦Industry solutions for banking, insurance, retail, logistics
- ✦Enterprise search across company apps
- ✦Personal AI assistant grounded in work data
- ✦Agent builder, orchestration and governance
- ✦250+ connectors and actions
- ✦Enterprise knowledge graph and hybrid search
- ✦Security controls for scaling AI
- ✦Experiment tracking and visualization for ML training runs
- ✦Model and artifact versioning and management
- ✦Hyperparameter optimization tooling
- ✦Collaborative dashboards and reports for ML teams
- ✦LLM application tracing and evaluation tooling
- ✦LPU custom inference hardware
- ✦GroqCloud tokens-as-a-service API
- ✦High-speed, low-latency inference
- ✦Pay-as-you-go token pricing
- ✦Free API key to start
- ✦Broad open-model support
- →Voice-first companion and consumer apps
- →Customer support and conversational agents
- →Language learning and education tools
- →Interactive game NPCs and media
- →Routing LLM traffic to optimize cost, latency or quality
- →Automating customer service with chatbots and voice agents
- →Verifying identity with eKYC during onboarding
- →Automating document processing
- →Improving call-center quality and sales efficiency
- →Search across all company knowledge
- →Answer employee questions with grounded AI
- →Build and deploy custom AI agents
- →Automate cross-system workflows
- →ML engineers tracking and comparing training experiments
- →Research teams versioning datasets and model checkpoints
- →Teams building and evaluating LLM-powered applications
- →Organizations collaborating on machine learning projects
- →Running LLM inference at high speed
- →Cutting inference costs at scale
- →Powering low-latency AI chat apps
- →Serving models via a hosted API