Enterprise AI Agent Platform
The Kainova Agent Platform hands product research, KOL matching, and content operations to agents — every step traceable, reviewable, and continuously improving. We also build custom agents on the same foundation.
Designed to connect with
KOL Discovery · Agent Run
Plan · Collect · Score · Review
Task Planning
Data Collection
Scoring
Human Review
Agent Outputs
Graph Nodes
13
Resume
Supported
Audit Trail
Logged
Core Business
Our Kainova Agent Platform is the foundation for everything we ship — ready-to-use commerce and KOL agents out of the box, and custom agents built on the same base.
Kainova Agent Platform · Core Product
An enterprise agent platform for commerce and KOL operations: the KOL Discovery agent works out of the box, with traceable runs from data collection and scoring to human review — plus built-in permissions, billing, audit logs, and resumable runs.
Custom Agents · Services
Custom agents for your business, built on the same platform: discovery, process modeling, private data integration, and system integration, with private deployment and long-term maintenance.
Beyond Q&A
Many tools stop at Q&A. Kainova agents access data, call tools, follow business rules, move multi-step work forward, and bring people in when judgment matters.
Connect enterprise data and third-party interfaces
Use knowledge bases and business rules
Support multi-step process orchestration
Keep human review and audit logs
Use Cases
A 13-node agent workflow that discovers, scores, and screens creators from social and profile data, producing reviewable shortlists by audience profile, content style, and campaign fit.
Reviewable product and campaign recommendations generated from product, competitor, and social data for cross-border commerce teams.
Agents connected to knowledge bases and internal systems, built for document processing, approvals, quotes, and reporting workflows.
Technical Architecture
A four-layer architecture covering the full loop from data ingestion to agent delivery.
Layer 01Data Assets
Multi-source collection, profile chains, and a governed data asset store with cleansing, structuring, and permission boundaries.
Layer 02Agent Runtime
Node-graph runtime: task orchestration, tool calls, resumable runs, and usage and cost accounting.
Layer 03Governance
Access control, human review, audit logs, and quality evaluation — people confirm the critical steps.
Layer 04Delivery
SaaS console, API integration, private deployment, and long-term maintenance.
