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Platform to build AI agents from natural language that run recurring business tasks on your tools 24/7, with scheduling and approval gates.
Enterprise AI platform where marketing, sales, and support teams build governed AI agents on Writer's own Palmyra models.
AI assistant for teams with secure LLM and company-knowledge access.
MiniMax's general-purpose autonomous AI agent that plans and completes complex multi-step tasks from a single prompt.
Open-source platform to build, deploy and monitor agentic AI workflows and RAG apps, with cloud, self-host and enterprise options.
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No public pricing
No public pricing
- ✦Natural-language agent builder
- ✦Scheduled and triggered agent runs
- ✦Approval gates and autonomy controls
- ✦Cross-thread memory and operating profiles
- ✦Built-in video, image and voice generation
- ✦Browser-use automation
- ✦Connectors to existing tools
- ✦WRITER Agent for delegating end-to-end tasks in natural language
- ✦Agent Playbooks for repeatable, on-brand workflows
- ✦AI Studio for building custom agents on company data
- ✦Knowledge Graph for grounding agents in company-specific context
- ✦Palmyra proprietary LLMs built for regulated enterprises
- ✦Enterprise security, identity, and compliance controls for IT
- ✦Unified and safe access to GPT-4
- ✦Connection to team's data for up-to-date answers
- ✦Customizable AI agent building without code
- ✦Team collaboration features for sharing prompts and conversations
- ✦Suggestions for documentation updates and improvements
- ✦Autonomous multi-step task execution
- ✦Natural-language task delegation
- ✦Powered by MiniMax frontier models
- ✦Handles research, building and content tasks
- ✦Visual workflow studio for agents
- ✦RAG knowledge pipelines
- ✦Agent runtime with tools and memory
- ✦Marketplace of models and plugins
- ✦Publish as app, API or MCP tool
- ✦Logging, analytics and monitoring
- →Automating recurring business tasks
- →Responding to quotes and inbound requests
- →Scheduled reports and content generation
- →Inventory and competitor monitoring
- →Automating on-brand marketing content production at scale
- →Handling inbound customer support responses with AI agents
- →Building custom AI agents connected to a company's internal systems
- →Enforcing brand voice and terminology consistency across teams
- →Deploying AI under enterprise security and compliance requirements
- →RevOps & Sales: Create customer profiles, flag at-risk deals, analyze calls, generate SQL.
- →PMM & Marketing: Write on-brand content, create consistent messaging, translate content, extract insights.
- →Customer Support: Connect to knowledge base, identify product improvements, auto-create FAQs, provide real-time guidance.
- →Product & Design: Improve product copy, analyze customer sentiment, extract competitor insights, generate user stories.
- →Engineering: Review code, auto-create docs, compile incident timelines, generate SQL.
- →Data & Analytics: Enable non-technical teams to query data, automate reporting, transform insights, connect data sources.
- →Delegating complex tasks to an AI agent
- →Automating research and analysis
- →Producing reports and deliverables
- →Building AI agents and chatbots
- →Creating RAG-based knowledge apps
- →Deploying LLM apps at enterprise scale