Multimodal social intelligence
Drive Intelligence through Multimodal Pattern Recognition
KINETK transforms the messy, multimodal social web into structured intelligence, helping agents, brands, and enterprise teams detect the hidden patterns shaping consumer behavior.
From unstructured cultural noise to structured intelligence.
Finding content
AI agents need structured, contextual graphs to reason accurately about complex consumer behaviors.
Continuous ingestion
KINETK continuously ingests, sanitizes, and normalizes raw visual and textual signals into canonical entities.
Workspaces
Intelligence workspaces turn those canonical entities into live, queryable context built for AI agents.
Architecture
One pipeline, from raw signal to agent-ready context.
Implicit signal capture
15B+ vectors · 1408d multimodalA product, aesthetic, or consumer behavior is rarely named in captions. KINETK identifies visual and behavioral motifs across 15B+ vectors using high-dimensional vector search that traditional text RAG can never index.
Cross-modal retrieval
500M+ nodes · 2.3B+ typed edgesQuery via text, an image snapshot, or a video clip within the same coordinate system. Trace emerging trends seamlessly across platforms, even when captions, hashtags, or usernames completely shift.
Continuous real-time ingestion
Sentinel network · proof of humanInstead of indexing static text or relying on stale training data, KINETK continuously ingests real-world behavior to detect the underlying visual motifs, gestures, and cultural patterns shaping consumer decisions across platforms in real time.
Agent-ready infrastructure
REST API · MCP · sub-secondTransform fragmented posts into token-efficient entity graphs via MCP, giving AI agents the intent-driven interface needed to conduct market research, risk assessment, and campaign discovery autonomously.
Connect your agent via MCP →Workspaces
The perception layer, in action.
Explore how KINETK transforms high-dimensional multimodal data into actionable consumer intelligence — live pattern tracking, community dynamics, and visual signal extraction in real time.
