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Vertical AI platform delivering industry-specific predictive, generative and agentic applications for retail, finance and industrial firms.
Developer API that gives AI agents persistent memory, retrieval, and connectors, usable both as infrastructure and a personal app.
Developer framework and LlamaParse service for parsing documents and building AI agents and RAG workflows over them.
AI operating system for car dealerships with voice AI, a smart inbox and agents that capture leads and lift service revenue.
No public pricing
No public pricing
No public pricing
No public pricing
- ✦Industry-specific AI applications (retail, finance, industrial, IT, media)
- ✦Eureka platform for making enterprise data AI-ready
- ✦Agentic AI agents for tasks like SAR drafting or inventory routing
- ✦Financial-crime alert reduction and investigation tools
- ✦Demand forecasting and shelf/pricing optimization
- ✦Real-time industrial root-cause analysis
- ✦Automated AWS cost optimization
- ✦Commitment management (Reserved Instances & Savings Plans)
- ✦Cost allocation and chargebacks
- ✦Kubernetes cost management
- ✦Resource rightsizing and scheduling
- ✦Idle resource optimization
- ✦Real-time cost visibility
- ✦Persistent, structured memory built as a knowledge graph
- ✦Sub-300ms hybrid retrieval (RAG) with reranking
- ✦Native filesystem mount for agent memory access
- ✦Connectors to Slack, Notion, Drive, Gmail, GitHub, S3
- ✦Automatic extraction from PDFs, images, and audio
- ✦User profile and behavior tracking across sessions
- ✦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
- ✦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
- →Retailers optimizing pricing, inventory and promotions
- →Banks reducing false-positive fraud and AML alerts
- →Manufacturers diagnosing production downtime in real time
- →Enterprises building custom AI agents on their own data
- →Reducing AWS costs for startups and enterprises
- →Optimizing EKS and ASG scalability and discounts
- →Maximizing Savings Plans and mitigating commitment risk
- →Automating time-consuming cost optimization tasks
- →Allocating AWS, Kubernetes, GenAI & SaaS costs
- →Developers adding long-term memory to AI agents
- →Teams building agents that need to sync with existing tools
- →Individuals wanting one memory layer shared across multiple AI assistants
- →Parse complex documents for AI apps
- →Build RAG and agent workflows
- →Automate invoice and claims processing
- →Search across technical documents
- →Answering dealership calls and messages
- →Rescuing and booking service leads
- →Resolving customer complaints (heat cases)
- →Boosting service-advisor productivity