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Done-for-you Amazon negative-review removal service using AI to flag policy-violating reviews, for sellers protecting their star ratings.
Web app helping educators detect AI use in student writing.
Enterprise platform for building and deploying customized AI agent teams across sales, support, marketing, and HR workflows.
AI coding platform and IDE that orchestrates multiple agent sessions and lets teams plug in their own AI subscriptions.
No-code platform for building and running AI agents that automate work across data, sales and support tasks.
No public pricing
No public pricing
No public pricing
No public pricing
- ✦AI scanning of reviews across Amazon's policy categories
- ✦Human-prepared appeal cases using a proprietary case methodology
- ✦Manual submission and tracking of removal cases
- ✦Free ASIN audit estimating removable reviews and rating impact
- ✦Ongoing monitoring for new violating reviews
- ✦Standalone Amazon review checker tool
- ✦AI-generated content detection
- ✦Custom AI agent builder for specific tasks
- ✦Support for multiple LLMs (GPT, Gemini, Claude, etc.)
- ✦Agent evaluation and performance tracking
- ✦2,000+ integrations
- ✦Embedded deployment and training program
- ✦SSO, role-based access, and audit logs for enterprise governance
- ✦AI coding IDE with agent orchestration
- ✦Run and manage multiple agent sessions
- ✦Task, artifact and collaboration tools
- ✦Bring-your-own AI subscription or API keys
- ✦Cloud-scale agent execution
- ✦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
- →Amazon sellers wanting to remove fake or policy-violating negative reviews
- →Brands seeking a free audit of removable reviews before committing
- →Ongoing review monitoring for active Amazon listings
- →Detecting AI-generated content in student essays and assignments
- →Automating sales prospecting, CRM enrichment, and meeting prep
- →Automating post-call follow-ups and pipeline forecasting
- →Building customer support and HR task agents
- →Scaling an internal AI workforce across departments
- →Shipping code faster with AI agents
- →Coordinating agent work across a team
- →Managing tasks and artifacts in one place
- →Running many parallel agent sessions
- →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