# Pletor > Pletor is the production platform where marketing teams build creative systems — orchestrating the best AI models with brand context to produce ads, product imagery, AI UGC, and multi-market campaign content. Each Flow runs against Brain — a persistent store of brand rules, references, and performance data — so every output compounds context from the last instead of starting from scratch. Operable from web, chat, voice, API, MCP, or Claude. ## Get started - [Pletor home](https://pletor.ai): Product overview and core concepts - [Pricing](https://pletor.ai/pricing): Current plans, credits, and feature breakdown by tier (free plan available, no credit card required) - [Documentation](https://docs.pletor.ai): Technical guides for Flows, Brain, Agent, API, and MCP integration ## Core building blocks - [Flows](https://pletor.ai/#product-flow): Repeatable creative pipelines composed of AI model calls, transformations, and brand context - [Brain](https://pletor.ai/#product-brain): Persistent store of brand rules, references, performance data, and competitive signals used as context for every Flow - [Agent](https://pletor.ai/#product-agent): Chat and voice interface for triggering and editing Flows ## Common use cases Pletor is used to produce: product imagery for e-commerce and social, performance ad creative at campaign pace, AI UGC creators in brand voice, and multi-language / multi-format / multi-market campaign variants from a single pipeline. ## What Pletor is not - Not a single image or video model — Pletor orchestrates multiple models - Not a one-shot prompt-to-image tool — outputs come from pipelines with brand context - Not a generic AI chatbot — Pletor is built for visual marketing production - Not a stock asset library or template marketplace - Not a code-first developer tool — Pletor is no-code, with optional API and MCP access for technical users ## Common questions - Who is Pletor for: Creative professionals and marketing teams building repeatable production pipelines, managing brand consistency across markets, or scaling creative output without losing control. No coding required. - What AI models are supported: Image, video, and text models from Google, Anthropic (Claude), OpenAI, ByteDance, Kling, Reve, and Higgsfield. New models are added continuously. The current model list is maintained in the [documentation](https://docs.pletor.ai). - How Pletor differs from other AI tools: Most AI tools provide a prompt box and a model. Pletor provides the production environment around them — brand context, repeatable pipelines, team deployment, and persistent memory. - Does Pletor require coding: No. Pletor is no-code by default. Developers can optionally use the API or MCP server for custom integrations. - How customer data is handled: Customers own everything they build and produce on Pletor. Brand data is isolated, never used to train models, and never shared. Customers control access, permissions, and what leaves the platform. ## Resources - [Blog](https://pletor.ai/blog): Guides, case studies, and product updates on AI creative production - [Case studies](https://pletor.ai/blog?category_equal=Case+Studies): How marketing teams build creative systems on Pletor ## Company - [Careers](https://pletor-ai.notion.site/join-pletor): Open roles at Pletor - [Contact](https://form.typeform.com/to/idYc6k7R): Get in touch with the Pletor team - [Trust Center](https://pletor-ai.notion.site/pletor-trust-center): Security, data handling, and compliance ## Optional - [Terms of Service](https://pletor-ai.notion.site/pletor-terms-and-conditions-of-services) - [Privacy Policy](https://pletor-ai.notion.site/pletor-privacy-policy) - [Legal Notice](https://pletor-ai.notion.site/Pletor-website-Legal-Notice-205c9eaadd0d8057bef6ceda6ee1baf6)