We make your data visible

Your data already knows what works.
We make it visible.

WeMakeVision runs SNS and online marketing on data. We analyse how people actually use your channels and systems, recommend what to do next, and produce the ads and videos to do it, with AI.

Marketing area analysis map of Dobong-gu, Seoul, with candidate locations marked

Data first

Every recommendation starts from your own data, not from guesses.

AI-made content

Topics, scripts and videos generated and refined with AI, reviewed by people.

Usage-based

Systems judged by how they are really used, not how they were designed.

End to end

From analysis to recommendation to production to measurement.

Services

What we do

Six things, all connected by one idea: decisions should come from data, and content should follow the decisions.

SNS

Planning, posting and growing your social channels, with every decision backed by what the numbers say.

Online Marketing

Campaigns across search, social and display, planned, run and optimised on performance data.

Guide

Strategy and roadmaps. We show you where your marketing and systems should go next, and how to get there.

Assist

Hands-on support for your team: setup, day-to-day operation and troubleshooting of marketing and data tools.

Analysis

Channel, campaign, user-behaviour and system analysis, turned into decisions you can act on this week.

Recommendation Systems

We build and operate data-driven recommendation systems that keep learning from your data after launch.

Products

What you can use today

Four products, one pipeline: analyse what is happening, recommend what to do, and produce it with AI.

Ads

Ad Recommendation Engine

A data-driven system that reads your campaign and channel data and recommends where, when and what to advertise next.

  • Audience, placement and timing recommendations from your own performance data
  • Budget and creative suggestions ranked by expected impact
  • Runs continuously, so recommendations move with your data
Ask about this →
Video topics

Video Topic Recommender & Generator

Finds the promotional video topics your audience is most likely to watch, then auto-generates the script, scene outline and first cut.

  • Topic candidates scored on your channel and market data
  • Script and storyboard generated automatically
  • Ready for review in hours, not weeks
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AI video

AI Promo Video Studio

AI-based production of promotional videos from brief to delivery: script, voice, visuals and edit, in the formats your channels need.

  • Shorts, feed and landing-page formats from one brief
  • Brand voice and visual style kept consistent across versions
  • Fast iterations for A/B testing
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Diagnosis

Usage-Based System Diagnosis

Analysis and diagnosis of your existing systems based on how they are actually used, with a clear report on what to fix, keep or drop.

  • Usage logs and user-behaviour analysis, not guesswork
  • Bottlenecks, unused features and risk hotspots mapped
  • Prioritised improvement roadmap you can hand to your team
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In the field

Local market and area analysis

Before a campaign goes live we map the district: where the demand is, what prices look like, and where an ad or a store would actually be seen. The examples below are from northern Seoul.

Process

How we work

One loop, repeated. Each round makes the next recommendation better.

01

Collect

Connect your channels, ad accounts and system logs.

02

Analyse

Find what your audience and users actually respond to.

03

Recommend

Get ranked recommendations: ads, video topics, system fixes.

04

Create

AI-generated videos and campaigns, reviewed by people before launch.

05

Measure

Track results and feed them back into the next cycle.

About

A data and AI company for marketing

WeMakeVision believes most teams already have the data to know what works. It just sits in dashboards nobody reads. We turn that data into recommendations, content and clear next steps.

We work with businesses that want their SNS, advertising and promotional video to be decided by evidence, and with teams that want to know how their existing systems are really being used.

  • Small, senior team. You talk to the people doing the work.
  • Your data stays yours. We analyse it, we do not resell it.
  • Every engagement ends with something you can run yourself.
James Hur, CEO of WeMakeVision
James Hur
CEO & Founder

James Hur has spent more than ten years in consumer electronics R&D as an engineer and project manager, turning sensor data and real-world usage data into product decisions. WeMakeVision applies the same discipline to marketing: measure what people actually do, then decide.

Career
10+ years in consumer electronics R&D. Started in embedded firmware and circuit design, then led projects on sensor, voice and vision-based interaction systems (3D ToF, stereo camera, radar, ultrasound, UWB) from concept to mass production.
Education
B.S. in Electronic Engineering, Hanyang University, Seoul (2015). Thesis: driving-lane and road-surface monitoring system.
Patents
Inventor on 30 patent filings (US and Korea) in sensing, user detection and device interaction.
Expertise
Data analysis and AI (Python, PyTorch, TensorFlow), usage-data KPIs and feature evaluation, multimodal sensor systems, video production (Premiere, Audition)
Languages
Korean (native), English (professional)

Contact

Tell us what you want to get done

A short email is enough. We reply with questions, not a sales deck.

Work with us

Ad recommendation setup, promotional video production, SNS and campaign operation, or a usage-based diagnosis of a system you already run.

Email James

Partnerships & press

Agencies, platforms and media who want to work with our recommendation and AI video products.

Get in touch