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AI operating system for car dealerships with voice AI, a smart inbox and agents that capture leads and lift service revenue.
Prompt engineering, management, and LLM observability platform.
Open-source React/Angular SDK and platform for embedding agentic, generative-UI copilots into apps, Slack and Teams.
AI homework helper with scan-and-solve, file chat, quizzes, flashcards and lecture note-taking across subjects for students.
Financial toolkit combining AI stock-move predictions, options/pension simulators, and a followable strategy for retail investors.
No public pricing
No public pricing
- ✦Voice AI with full customer context
- ✦AI-native Smart Inbox across channels
- ✦LiveCSI real-time satisfaction monitoring
- ✦Service Advisor Agent
- ✦Heat Case and Opportunity Agents
- ✦Mobile app
- ✦Prompt management
- ✦Prompt evaluations
- ✦LLM observability
- ✦Team collaboration
- ✦Version control for prompts
- ✦A/B testing of prompts
- ✦Prompt Registry
- ✦Historical backtests
- ✦Regression tests
- ✦Usage monitoring
- ✦React and Angular frontend SDKs
- ✦Agent-rendered generative UI
- ✦AG-UI agent-user interaction protocol
- ✦Connectors for LangChain and other frameworks
- ✦Pre-built customizable chat/sidebar components
- ✦Slack and Teams integrations
- ✦Thread and state persistence
- ✦Scan-and-solve homework across subjects
- ✦Chrome extension for answers
- ✦Chat with uploaded files and materials
- ✦AI quizzes and flashcards
- ✦AI lecture note-taking
- ✦AI study podcasts
- ✦AI stock-move probability predictions using XGBoost-style models
- ✦Multi-factor scoring combining technical, fundamental, and economic data
- ✦Options, warrants, and structured-product payoff simulator
- ✦Pension gap calculator and long-term savings scenario planner
- ✦AI-generated news digest for watchlist stocks
- ✦Public wikifolio tracking the team's systematic strategy
- →Answering dealership calls and messages
- →Rescuing and booking service leads
- →Resolving customer complaints (heat cases)
- →Boosting service-advisor productivity
- →Scaling customer support automation with LLMs
- →Empowering non-technical teams with prompt engineering
- →Building personalized AI interactions
- →Debugging LLM agents
- →Improving content creation processes
- →Managing and monitoring prompts with a team
- →Adding an AI assistant to a SaaS product
- →Building agents that render interactive UI
- →Deploying copilots across Slack and Teams
- →Connecting existing agents to a frontend
- →Getting step-by-step homework solutions
- →Studying from uploaded course materials
- →Turning lectures into notes and quizzes
- →Screening stocks for higher-probability large price movements
- →Modeling options or warrant payoffs before trading them
- →Estimating a personal retirement savings shortfall
- →Following a systematic AI-informed investment strategy passively