01enbase Data Cube · FLAGSHIP
Not just another query tool — enbase is the AI data co-pilot on your decision-makers' desktops. Ask complex questions in natural language and get back structured data, related video clips, trend graphs and generative insight summaries.
enbase Data Cube
The AI data co-pilot on your decision-makers' desktops. v3.0 is fully upgraded to AI-native interaction — conversational data discovery that returns structured data, related video clips, trend graphs and generative insight summaries in one stream.
02Marketing Cube · Marketing Cube
An AI decision cockpit for brands, agencies and MCNs — answering what to spend on, who to spend it with, and what the spend returned. Unified KOL evaluation, social reach, e-commerce attribution and propagation tracing.
Marketing Cube
The data cockpit connecting brands, KOLs, platforms and consumers. Built on ENDATA's accumulated social + e-commerce + content data pools to support the full marketing-decision flow.
03Scenario Modules · specialized SaaS solutions
Purpose-built applications for specific industries: film greenlighting, e-commerce selection, social marketing, content research — each module a SaaS toolkit with deep industry know-how.
AI Data Engineering
Dataset browsing, annotation task management, QC dashboards and delivery tracking — training-data procurement, fully online.
E-commerce · Selection & Attribution
Trend discovery, hit-product prediction, KOL matching, attribution of marketing spend.
Social Marketing & Sentiment
Topic planning, reach tracking, propagation chains, sentiment graphs.
Content Research & IP Evaluation
IP valuation, content audience profiles, cross-platform performance, IP-licensing support.
NEWenbase Studio · AI Data Annotation Platform
From insight tool to data-production tool — Studio productizes the annotation line ENDATA runs for foundation-model clients: a 4-dimension dense-annotation framework with human × AI quality control, now open to AI teams.
4-Dimension Dense Annotation
Visual description / narrative logic / visual features / sentiment quantification across video, image and text — dense, training-ready labels.
Human × AI Quality Control
Model pre-labeling + human refinement + cross-sampling, three-stage pipeline; key-frame detection accuracy >90% (product metric · internal eval, illustrative).
Embodied Annotation Line
Action sequences / end-effector trajectories / task decomposition — output in RLDS · LeRobot v3 formats, straight into VLA training pipelines.
Pipeline-grade Delivery
API-managed annotation tasks, progress dashboards, versioning and incremental delivery — sharing one data foundation with enbase Data Cube.
04Core capabilities · the tech stack behind every SaaS
Whether it's enbase or Marketing Cube, the same AI stack powers everything: natural-language search, generative analysis, tri-modal recall and KOL evaluation.
AI Search
Natural-language conversational data discovery — understanding fuzzy intent, multi-layer semantics, and relational reasoning.
Generative Analysis
Insight summaries, trend attribution, comparative reads — AI-generated readable reports.
Tri-Modal Recall
One-stop recall across video, image and text. Relational retrieval: one text query returns results across all three modalities.
KOL Evaluation
Audience quality, engagement health, commercial fit, risk alerts — a multi-dimensional rating framework.