Upload a product catalog. Our multi-agent AI pipeline handles image analysis, keyword research, copy generation, and quality control — then publishes straight to Amazon and generates product videos, automatically.
Get StartedBuilt for e-commerce teams that need to move fast without sacrificing quality — or losing track of who did what.
A 17-agent LangGraph state machine executes per-product workflows with automated checkpointing, retry logic, and deterministic attribute extraction.
Dense vector search (pgvector) and native BM25 full-text search (ParadeDB pg_search) run independently against the full keyword catalog, are fused with Reciprocal Rank Fusion, then re-ranked by a cross-encoder for final relevance.
A vision model reads main and lifestyle images to extract accurate product features and specs that feed directly into title, bullet, and description generation.
Candidate keywords are judged, deduplicated, and filtered for negative and competitor terms before being split into search-term and ad-keyword pools sized for real campaign use.
Upload a product catalog spreadsheet with hundreds of SKUs. Celery fans work out across every row in parallel, then aggregates results back into one run.
Listings move from 'Unverified' to 'Verified' only after passing automated QC audits and receiving explicit human sign-off — before anything ships anywhere.
Push title, bullets, description, search terms, and images directly to live Amazon listings via the Listings Items API — Seller Central and Vendor Central both supported, with live per-SKU progress streamed to the screen.
Remove a listing entirely, or surgically clear a single attribute (an image slot, a bullet point, search terms) without touching the rest of the listing — with a dry-run mode for both.
Auto-render a product video from your catalog's own images and upload it straight to your OneDrive — secured by your own Microsoft sign-in, so no video credential ever touches the server.
Redis-backed Server-Sent Events stream live progress for every job — pipeline runs, Amazon publishes, and video renders alike — every step, as it happens.
Administrators manage users, configure organization settings, and see everything. Regular users get scoped access to their own pipeline runs and outputs.
Admins can assign each user their own encrypted OpenAI, DeepSeek, or Gemini key — avoiding shared rate limits — while every call's tokens and cost are tracked per user, per model, with admin-editable pricing.
Every consequential action — publishes, deletions, video jobs, content edits, logins — is logged and attributed to the person who did it, filterable in an activity log and visualized per-user in a 30-day analytics dashboard.
Client keyword catalogs sync automatically from SharePoint into a dedicated pgvector store per client, keeping every client's retrieval pool current without manual uploads.
From spreadsheet to live Amazon listing, in four steps.
Import your product catalog as an XLSX file. Each row becomes an independently processed listing job.
The 17-agent state machine analyzes images, retrieves keywords through 4-layer hybrid search, drafts copy, and validates against Amazon policies.
Check each listing in the output library. Nothing moves forward until a human explicitly signs off.
Push verified listings straight to Amazon via SP-API, and auto-generate product videos to OneDrive — all from the same workspace.
Sign in with your organizational credentials to access the workspace.
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