Gentic delivers a unified data layer, agents, and connectors that let AI‑native commerce brands centralize catalogs, customer data, and content, enabling automated read‑write actions while keeping humans in the loop. Its pay‑per‑use AI agents handle tasks such as end‑to‑end creator seeding, TikTok video scoring—processing over 50,000 videos monthly—and ad‑creative ranking, scaling autonomously with each brand’s workflow.
Funding
Funding not disclosed
Founders
Product
Problem
Direct-to-consumer (DTC) e‑commerce brands must coordinate large volumes of creator outreach, ad‑creative evaluation, and conversion‑rate optimization across fragmented data sources such as Shopify, Klaviyo, and analytics platforms. Manual execution of these workflows is time‑consuming, error‑prone, and does not scale with the rapid content production required for modern social‑media marketing.
Solution
Gentic delivers a unified data layer that aggregates catalog, customer, and content information and exposes it through a custom model‑context protocol (MCP) server. Pay‑per‑use AI agents consume this shared context to automate end‑to‑end workflows—including influencer seeding, TikTok video scoring, ad‑creative ranking, usage‑rights contract handling, and CRO analysis—while keeping a human in the loop for oversight. Agents operate 24/7, process tens of thousands of items monthly, and return results via natural‑language dashboards or API integrations. The platform leverages vector search, Neo4j graph queries, and real‑time Shopify/Klaviyo connectors to maintain data ownership and enable cross‑agent communication, providing measurable efficiency and revenue gains.
Target Audience
Primary customers are DTC e‑commerce brands that run on Shopify and use marketing stacks such as Klaviyo, Meta Ads, and TikTok, and that need automated influencer campaigns, ad‑creative optimization, and conversion‑rate intelligence.
Features
- Unified data layer with real‑time Shopify, Klaviyo, PostHog, and Amazon Seller integrations, stored in Neo4j graph and Pinecone vector indexes
- Pay‑per‑use AI agents for influencer creator seeding, TikTok brand‑fit scoring (50k+ videos/month), ad‑creative vectorization and ranking, and automated usage‑rights contracts (2,400+ contracts/month)
- Frame‑by‑frame media vectorization pipeline that transforms raw video into searchable scenes for rapid on‑brand ad generation
- Natural‑language store management agents for analytics queries, inventory forecasting, and voice‑controlled product/order operations
- Cross‑agent communication via the MCP “nervous system,” enabling shared context, workflow orchestration, and performance feedback loops
- Built‑in data ownership: all business data remains in the brand’s infrastructure and is never transferred to third‑party servers
- Scalable architecture that maintains consistent quality while handling enterprise‑level volumes across all agents