REWYND

REWYND

AI products for creator workflows.REWYND builds AI products that make creative work more scalable.

Primary productSwitchLog

You shoot.
Your Mac edits.

Drop in hours of raw footage and SwitchLog turns it into a finished video and its shorts with nobody at the keyboard, on your own Mac. The time editing took goes back into making more.

Explore SwitchLogPartner with REWYNDFor investors

Current focus

Where REWYND is focused today.

Primary product

SwitchLog

Raw footage in. Finished videos out. On your Mac.

SwitchLog is a Mac app that finds what is worth keeping in hours of raw footage and automates long-form and short-form production. All of the AI runs on the user’s Mac, and raw footage is never uploaded to a server.

Explore SwitchLog
  1. In product

    From raw footage to a finished video and shorts

    It reads the whole recording, picks the moments with per-genre profiles, writes the captions with the voice separated from background sound, frames each shot for the shape of the video, adds sound and music, and finds the shorts. All of it runs on the user’s own Mac. It is being prepared for the Mac App Store.

  2. Building

    Creator Editing Profile

    Each channel’s editing habits become a profile. Fitted first in enterprise pilots.

  3. Research

    Faster, more efficient local processing

    Making long-form video analysis on the Mac faster and lighter.

Customer value

One product.
Three ways to create more.

One product, but what you get from it depends on who you are.

  1. 01 — Individual creatorIn product
    • Lower entry barrier
    • Lower recurring editing cost
    • Create without hiring first

    Start creating before you build an editing team.

    You can start without hiring an editor.

    Today every edit costs hours, an outsourcing fee or AI usage fees. SwitchLog reads the whole recording on the Mac you already own, picks the moments, writes the captions and gives you the long-form video and its shorts. The only choice is the kind of video, and you fix the result by clicking it in the video. It is free until export, with no account.

  2. 02 — Pro editorIn product
    • Less repetitive work
    • More projects per editor
    • Higher output per hour

    AI expands editor capacity.

    One editor can handle more videos.

    Client footage cannot go to a cloud tool, and sorting raw footage, routine cuts and captions repeat on every job. SwitchLog does them on the editor’s Mac at a flat price and sends the cut on to Final Cut Pro, DaVinci Resolve or Premiere Pro, with SRT captions. Editors start from a cut and keep the judgment and the detail. It does not replace editors; it expands what one editor can take on.

  3. 03 — Enterprise / MCNBuilding
    • Fewer repetitive labor hours
    • More channels per team
    • Consistent creator-specific editing
    • Faster onboarding for new editors
    • Personalization through Creator Profile

    Scale content without scaling headcount.

    Run more content with the same team.

    Each channel edits differently, and a team applies the same rules by hand on every video. Today, unreleased footage stays on each editor’s Mac and an organisation’s plan is sold by contract. Creator Editing Profile, in development, moves each channel’s style into a system. The aim is not to remove human judgment but to systematise the part that repeats.

AI handles repetition. People keep the creative decisions.

Why now

  1. 01Editing is labour repeated for every video
  2. 02Raw footage gets longer and there is more to publish
  3. 03Outsourcing and editors cost money per video
  4. 04Cloud AI charges by how much you use
  5. 05So the more you make, the more it costs

SwitchLog is built for the workflow after recording.

Creators spend repeated time and money on editing and re-cutting, more than on shooting. SwitchLog reduces the part that repeats, so the same people and the same budget produce more.

The problem is already here

Editing doesn’t scale well.

The more content you make, the more time and money editing takes. The evidence is shown in three grades, in order: official documents, public price examples, and what individual users have reported.

A — Official dataOfficial pricing and credit policy

AI video tools deduct credits by minutes processed or by features used.

Taken from each company’s own pricing and help pages. Plan prices are not reproduced.

B — Public market examplesPublic editing price listings and an editor survey

Editing costs days of work and a fee again with every video.

One upload a week₩600,000–₩720,000 / month
Two uploads a week₩1,200,000–₩1,440,000 / month

An illustration: the two listing prices above (₩150,000–180,000) multiplied by uploads per month.

Reference: overseas marketplaces also list basic packages for a video up to 10 minutes at US$20. Scope and quality vary too much to compare directly with the listings above. Source: Fiverr public gig · 2026-10 ↗

Prices of individual public listings, not a market average. Prices vary widely with scope and quality. The survey figures are what respondents said, not measurements.

C — User-reportedWhat users have reported

Some users describe the hours editing takes, and credits running down while they retry.

Posts published by individual users. They are not statistics and do not describe every user’s experience of a service.

What grows when you make more.

  1. Manual editingTime grows with output
  2. OutsourcingCost grows with every upload
  3. Cloud AICredit and inference cost grow with usage
  4. SwitchLogWhat grows is compute on the user’s own Mac

The point is not that it is cheaper. It is designed so that the cost structure does not grow at the same speed as the content you produce.

AI editing already exists.

The harder problem is making it economical, repeatable and personalized at scale.

  1. 01Economical
  2. 02Repeatable
  3. 03Personalized

REWYND is building the workflow layer that makes that possible.

Why local

More editing shouldn’t mean proportionally more cloud AI cost.

A structure where company cost does not rise at the same speed as usage.

The question is not “can AI edit a video?” It is “as usage grows, who pays for the compute?”

In a cloud-based AI editor, server cost tends to rise with every video processed, and it comes back to the user as usage-based pricing. SwitchLog does the video processing on the user’s Mac.

More video, in the cloud →Cloud AI cost Usage-based AI cost Server processing cost

Usage-based cloud AI

  1. More footage
  2. More inference
  3. More API, credit and cloud processing
  4. Provider cost increases

SwitchLog

  1. More footage
  2. More local compute on the user’s Mac
  3. Raw footage remains local
  4. Provider-side video processing cost grows much more slowly

For creators

More predictable editing cost.

Using it more does not raise the price. It is a flat fee, so editing cost is predictable.

For REWYND

Better SaaS unit economics.

Designed so that server-side AI processing cost does not rise in step with usage.

Your Mac does the work.
Your footage stays with you.

Usage →Provider compute costCloud-first AISwitchLog (local-first)The added compute runs on the user’s device
A diagram of the structure, not a measurement. Real figures will be published once measured.

Landscape

Every approach is a trade-off.

None of these approaches is wrong. Each is good at something and costs something, and SwitchLog picks one particular combination.

  1. 01

    Manual editing

    Premiere Pro · DaVinci Resolve

    Strength
    Full control
    Trade-off
    Time and a learning curve
  2. 02

    Outsourcing

    Freelance editors · agencies

    Strength
    Human quality
    Trade-off
    More videos means more cost
  3. 03

    Cloud AI

    OpusClip · Vizard · Wisecut · Descript

    Strength
    Fast automation
    Trade-off
    Often priced by minutes, credits or usage
  4. 04

    SwitchLog

    REWYND

    Strength
    • Local-first processing
    • No raw footage upload
    • No per-edit AI credits
    • Creator workflow
    • Enterprise personalization (in development)
    Trade-off
    Requires an Apple silicon Mac

The bottleneck isn’t just cutting.
It’s repeating the same decisions.

  • Which scenes to keep
  • Where to cut
  • How to write captions
  • When to zoom in
  • Which sound effects and assets to use

Creator Profile stores those repeated decisions and reuses them.

Enterprise personalization

Building

Teach SwitchLog how your team edits.

Every channel edits differently. We turn that difference into a profile.

Given the same footage, channels keep different scenes, drop different ones, and differ in cut timing, captions, sound effects, music and how they use assets. For an individual creator, fast and easy editing comes first. Creator Editing Profile is the next step, for channels and teams.

One channel. One editing profile.

Creator Editing Profile is under development. Where a profile is stored and how it is fitted are not settled yet; the priority is that raw footage does not leave the device. The product today ships with per-genre profiles.

  • Raw footage
  • Edited result
  • User decisions

Local analysis

Raw footage and the edited result are compared on the device

Editing pattern extraction

What gets kept, trimmed and dropped

The core asset

Creator Editing Profile

A channel’s editing habits become one profile

Future local editing

New footage is edited that way, also on the device

Designed to stay on the device

Creator Profile roadmap

The profile gets more automatic over time.

Creator Profile is not a finished technology. It starts with people building it together, and moves toward the system building and correcting it on its own.

  1. Phase 1Building

    Human-assisted

    REWYND designs the profile directly, from raw footage, final edits, assets and editor feedback.

  2. Phase 2Research

    Profile automation

    The system extracts patterns from the difference between raw and edited footage: keep or drop, cuts, captions, effects, asset use, rhythm.

  3. Phase 3Research

    Feedback learning

    When a person corrects SwitchLog’s draft, the difference before and after updates the profile. The next job needs fewer corrections.

Less setup. Less correction. Better fit over time.

This does not retrain a foundation model. It updates a profile that holds that channel’s editing preferences.

For editors, MCNs & media teams

Scale content without scaling headcount.

More content, without adding headcount.

SwitchLog Enterprise helps editors and creator teams automate repeatable editing patterns and build creator-specific workflows. We are looking for pilot partners now.

  1. 01More outputThe same editing team handles more videos.
  2. 02Lower labor cost per videoLess repetitive work goes into each piece of content.
  3. 03Consistent styleEach channel’s editing rules are kept in its Creator Profile, so the style carries on when a new editor joins.

Create more with the team you already have.

How Enterprise Profile works

  1. 01Existing workflowWe learn your raw footage, final edits, assets and how you edit.
  2. 02ProfileWe analyse the cuts, choices, captions, effects and patterns that repeat.
  3. 03PilotWe apply the channel’s editing profile to new raw footage.
  4. 04Feedback loopHuman corrections are fed back to improve the profile.
  • Editors
  • MCNs
  • Creator Agencies
  • Media Teams
  • YouTube Creators

Designed so footage stays on the device

Profiles are being designed to be built on the customer’s own device wherever possible. Where footage has to be shared, it is used only for that customer’s profile, and only with explicit consent.

Become a pilot partnerTalk to REWYND

Technology

Your Mac does the work.
Your footage stays with you.

The video stays on the Mac, and the AI works on the Mac.

  1. 01In productLocal-first AIAI processing on the creator’s Mac.Transcription, scene analysis, highlight selection and cutting all run on the creator’s Mac. Once the models are downloaded, a video is made with no internet connection (checked on 2026-10-05 with the network cut).
  2. 02In productPrivacyRaw footage stays on the device.Raw footage is not uploaded to a server, which is what teams handling unreleased material require.
  3. 03In productUnit economicsCustomer-owned compute, not a cloud bill per hour of footage.Heavy video processing uses customer-owned compute, rather than making every additional hour of footage an additional cloud inference bill for REWYND.

Long-term R&D

  1. 04BuildingPersonalizationLearn how each creator edits.Each channel’s way of editing becomes a profile.
  2. 05ResearchEfficiencyMake local processing faster and more efficient.A light pass over everything, deeper analysis only where it is needed.

How it works

Every step runs on the Mac

  1. 01Long raw videoHours of footage
  2. 02Local analysisA light pass over everything, on the MacSceneSpeechSilenceTranscriptSpeakerVisual change
  3. 03Candidate segmentsOnly the parts worth a closer look remain
  4. 04Deeper local analysisA closer look at what remains, still on the Mac
  5. 05ProfilePer-genre today, per-creator next
  6. 06Editing decisionKeep, trim or drop

Current research focus

  • Faster local processingResearch
  • More efficient on-device computeResearch
  • Raw-to-edit alignmentBuilding
  • Editing intent understandingResearch
  • Personalized creator profilesBuilding
  • Continuous feedback learningResearch

Models are swappable tools. What REWYND accumulates is the processing architecture, the Creator Profile, the workflow data and the feedback loop.

Data flywheel

A profile that keeps getting better.

Not one automatic edit. A profile that keeps improving.

  1. 01Creator partnership
  2. 02Raw + edited video + assets
  3. 03Creator profile
  4. 04Auto edit
  5. 05Human correction
  6. 06Feedback data
  7. 07Better profile
  8. 08More usage

Each profile improves inside that customer’s own editing workflow. Data use is permission-based, and the priority is that raw footage does not leave the device.

Market

The market, in three layers.

We do not call the biggest number our market. We separate the wider ecosystem, the adjacent market and the place we start.

  1. 01 — Top-down context

    Creator economy

    The size of the wider ecosystem. Context only; it is not SwitchLog’s addressable market.

    $250B → $480BGoldman Sachs Research estimate · 2023 → 2027

    Source: Goldman Sachs Research, 2023-04 ↗

  2. 02 — Adjacent market

    AI video generation and editing

    One research firm’s estimate of the directly adjacent market. Definitions and figures differ widely between firms, so it is used as a direction, not a size.

    $0.6B → $9.3BAllied Market Research estimate · 2023 → 2033

    Source: Allied Market Research, 2024-09 ↗

  3. 03 — Initial beachhead

    Creators, editors, MCNs and media teams on Apple silicon Macs

    Where REWYND starts. These customers already own the local compute SwitchLog runs on. For reference, more than 3 million creators are in the YouTube Partner Program.

    Source: YouTube Official Blog, 2026-08 ↗

None of these numbers is SwitchLog’s market size. The first two layers are context and direction; the third is where REWYND actually starts. Research-firm estimates differ widely.

Team

Small team.
Real products.

Two people, all the way to launch.

We plan, build, ship and operate in-house.

From planning to operations, it is all done in-house. That is the speed at which SwitchLog gets built, fixed, and shaped by partner feedback.

01

Product & Technology

  • Product architecture
  • Backend / Cloud
  • AI workflow
  • Mac / Web / Mobile
  • Payments
  • Production operation
  • Infrastructure
02

Product & Experience

  • Product planning
  • UX
  • Service design
  • Content structure
  • Brand
  • Consumer experience
  • Product detail

We don’t need to assemble a product team. We already are one.

products we built ourselves
6
products live today
3
platforms: Mac · Web · iOS · Android
4
languages at launch
5
The team and how we work

What we need next

We build.
Now we scale.

We can already build the product. Now we take it to customers.

REWYND already has product, engineering and product-planning capabilities in-house. Our next bottleneck is not building the product. It is reaching the right creators.

The next key role

Global Creator Partnerships & Business Development

  • Creator outreach
  • MCN / agency partnerships
  • Enterprise sales
  • PoC management
  • Data partnerships
  • Global GTM
  • International market development

The technology and the product are ready to be validated. Now we add the people and capital to extend distribution and partnerships.

Partner with REWYND

Global

Built local.
Designed global.

Our products are designed for multiple languages and international payments from the start. SwitchLog’s first enterprise targets are English-speaking creators, editors, MCNs and media teams as well as Korean ones.

  • 한국어
  • English
  • 日本語
  • 繁體中文
  • 简体中文

Who we look for first

  1. 01Creators with long raw footage
  2. 02Creators with repeatable editing patterns
  3. 03Teams already paying for editing
  4. 04MCNs managing multiple channels

Primary business

SWITCH

Tools that turn raw material into finished content.

The three SWITCH products are not separate bets. SwitchLog’s technology and workflow extend into another creative field, and a lighter product becomes the way in to SwitchLog.

SwitchLogTechnology / workflow expansion

02 — Expansion

Generative workflow for visual storytelling.

The same production-automation logic, extended to webtoons: from an idea to plot, art and speech bubbles.

SwitchToonSwitchWebtoon ↗COMING SOON

SwitchLogLow-friction acquisition

03 — Entry product

Fast, lightweight entry point for creators.

A light way to try making shorts on the web with nothing to install. Creators who make shorts move on to SwitchLog.

SwitchClipLIVE
More about SWITCH

Consumer & IP

MAMOT

Consumer products that actually ship.

MAMOT is the consumer and IP brand REWYND runs directly. Shouting Mamot operates paid digital content, and Mamot Store tests whether the character extends into real goods. It is proof that this team can ship to consumers and take payments.

  • Paid consumer product
  • Direct distribution
  • IP experimentation
  • Commerce
LIVEShouting Mamot ↗COMING SOONMamot Store
See MAMOT

Where we started

The origin.

REWYND Games

REWYND Games is where the team first built a product end to end and learned mobile distribution, localisation, game content and live operations.

See the REWYND gameLIVEiOS · Android

Build with us.

For investorsThe primary product, customer value, cost structure, team and what we need next, on one page.Read the investor summaryFor creators, editors & MCNsWe are looking for creators, editors and MCNs to fit a profile on a real editing workflow.Become a pilot partner