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Agentic coding platform (Cosmos) that runs software-dev agents at org scale, using a codebase context engine to cut token cost.
AI investing platform offering stock signals, screeners, copy-trading and an autonomous trading agent for retail traders.
Developer API that gives AI agents persistent memory, retrieval, and connectors, usable both as infrastructure and a personal app.
AI customer-support platform with agents across channels, plus AI chat, translation and writing tools.
No-code platform for building and running AI agents that automate work across data, sales and support tasks.
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- ✦Context Engine for codebase understanding
- ✦Agents across the full SDLC
- ✦Model routing / bring-your-own-keys
- ✦Automated code review and test coverage
- ✦CLI, MCP and native tool integrations
- ✦Enterprise security (SOC 2, ISO 42001, SSO)
- ✦AI trading signals and stock picks
- ✦Copy-trading synced to brokers
- ✦AI screener and market analysis
- ✦Autonomous trading agent (Alphio)
- ✦Alerts, monitors and scheduled AI tasks
- ✦Credit-based usage tiers
- ✦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
- ✦AI support agents across 10+ channels
- ✦Agent copilot with answers from your knowledge base
- ✦Website live-chat widget
- ✦AI knowledge base training
- ✦Extra AI tools: translator, grammar, code review
- ✦Apps and browser extensions
- ✦Visual canvas to orchestrate multi-agent workflows
- ✦Prebuilt specialized agents (data, support, CRM, sales)
- ✦Access to many AI models with no vendor lock-in
- ✦Slack, Teams and email agent interaction
- ✦Recurring/scheduled tasks and triggers
- ✦Enterprise security: RBAC, VPC, audit logs, spend controls
- →Automating PR code review
- →Raising test coverage
- →Incident investigation and remediation
- →Large-scale migrations and onboarding
- →Getting AI-driven stock and crypto signals
- →Automating trade execution via brokers
- →Screening and researching stocks faster
- →Following AI trading strategies
- →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
- →Automating customer support
- →Deflecting repetitive tickets
- →Assisting agents with suggested replies
- →General AI chat and writing help
- →Automate data analysis and reporting
- →Triage support tickets and spot patterns
- →Keep a CRM updated and research prospects
- →Deploy AI agents across a team's tools