REWYND

For investors

We build tools that lower editing cost and raise output.

REWYND’s primary product is SwitchLog. It turns hours of raw footage into a finished video and its shorts on the user’s own Mac. It starts as an individual subscription and extends to editors and enterprise, and because it is local, server cost does not rise in step with usage. The ability to build the product is in-house; the next step is reaching customers and partners.

As of October 2026 · early stage · user and revenue figures are shared in the deck

Primary product
SwitchLog
Category
Local-first AI video editing
Business model
Subscription → Pro → Enterprise
Technology
Local-first AI + Creator Editing Profile(profile is in development)
Moat
Processing architecture + creator profiles + workflow data + feedback loop
Go to market
Creators → Editors → MCNs / Agencies
Expansion
Global
  1. 01Give back the time editing takesEditors say one 10-minute video takes 2–3 days to edit (a survey of 285 editors in Korea, 2023). Drop the footage in and SwitchLog makes the draft of the long-form video and its shorts with nobody at the keyboard. It runs on the Mac they already own at a flat price, so outsourcing fees and per-use AI fees come down too.
  2. 02More output per editorSorting footage, routine cuts and captions repeat on every job. SwitchLog does them on the editor’s Mac and hands the cut to Final Cut Pro, DaVinci Resolve or Premiere Pro, so one editor can handle more content.
  3. 03Channel-specific workflowsCreator Profile turns each channel’s way of editing into a workflow. It is in development and fitted through pilots.
  4. 04Better software economicsA local-first architecture designed to separate growth in usage from growth in server-side AI cost as far as possible.

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.

Passing long video to a general multimodal AI again and again can incur inference, API and compute cost that grows with footage length and usage. SwitchLog is designed to perform the video processing itself on the user’s Mac, with the aim of avoiding a structure in which REWYND’s server-side AI processing cost rises in proportion to usage.

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.

Better models make SwitchLog better.

Better models that can run on a device are not only a threat. Models are swappable parts, and when a better one arrives SwitchLog’s local processing improves with it. REWYND’s edge is not owning a model; it is what gets decided on top of one.

  • Processing architecture
  • Creator profile
  • Workflow data
  • Feedback loop

What REWYND decides

  1. 01Which analysis runs, and in what order
  2. 02Which parts need deeper analysis
  3. 03How earlier analysis is reused
  4. 04How the Creator Profile is applied
  5. 05How a user’s corrections shape the next job

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

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.

How value per customer grows.

Customers come in on an individual subscription, extend to editors and teams, and the tool fits the channel better as its profile accumulates.

  1. 01 — Self-serveIn productIndividual creator subscriptionA personal subscription on the creator’s own Mac
  2. 02 — ProBuildingProfessional editors · high-volume creatorsHeavier usage and professional workflows
  3. 03 — EnterpriseBuildingCreator Profile · team workflow · multiple channelsContracts at MCN and agency level
  4. 04 — Profile automationResearchProfiles built automaticallyThe onboarding cost of building a profile falls
  5. 05 — Feedback loopResearchCorrections improve the profileWhat people correct feeds the next version of the profile
  6. 06 — Higher switching costResearchA tool that fits better the more it holdsThe more editing style, assets and profile accumulate, the harder it is to leave

What accumulates is the customer’s way of editing, their assets and their profile. It fits that channel better than a generic AI can: a moat built on data and workflow.

The individual subscription is being prepared for launch; the steps above it are roadmap.

Flagship

SwitchLog

Creators record for hours and publish every week. The edit in between is the bottleneck. The creator drops in a recording and picks the kind of video; SwitchLog makes the long-form video and its shorts unattended, and the creator fixes them by clicking them in the video, then exports.

  • Analysis and editing run on the user’s Mac, so our server cost does not rise as people use it more.
  • That lets us sell a flat price instead of per-minute credits. The heaviest users are the easiest to keep.
  • Footage never leaves the machine, which is what agencies and broadcasters require for unreleased material.
  • It is free until export: people pay after they have seen their own video made.
  • There is no account wall before the purchase: the plans come up when Export is pressed and are paid with the Apple ID.

Measured · one recording, one run

Recording in (gaming)2026-10-05
52 min 5 s
Make My Video, unattended2026-10-05
42 min 50 s
Long-form video out (156 highlights, 86 captions)2026-10-05
11 min 6 s
Shorts suggested from it2026-10-05
8
Automated engine tests passing2026-10-05
2,289
Automated app tests passing2026-10-05
150

One recording and one run, on 2026-10-05: a whole gaming recording (640×360 source), on an Apple M4 Mac with 24 GB, from a fresh install, with nobody touching it. The one-time model download (3 min 54 s on that network) is not in the time. The stages of that run: reading the recording and drafting 7 min 2 s, choosing highlights 40 s, writing captions 27 min 34 s, render 4 min 43 s. It is a concrete example of the unattended pipeline, not a speed claim for other lengths, kinds of video or Macs. At the same build, each of the five genres was run end to end on 2 to 10 minute stretches of real recordings (making, editing, exporting the long video and shorts).

Market: compute the customer already owns

creators in the YouTube Partner ProgramYouTube Official Blog, Aug 2026
3M+
Macs shipped in 2025IDC via MacRumors, Jan 2026
25.6M

All are published third-party figures. SwitchLog uses the local compute Apple silicon owners already have. The market arithmetic and the competitor comparison are on the SwitchLog investor page.

Read the full SwitchLog investor page

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.

Team

Small team.
Real products.

二人で、最後までつくります。

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.

自分たちでつくったプロダクト
6
現在運営中
3
プラットフォーム · Mac, Web, iOS, Android
4
対応言語
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

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

What the products around it are for

  1. Extension

    The same logic, another medium

    SwitchToon applies SwitchLog’s structure to webtoons: plot, art and speech bubbles are made on the user’s Mac, and finished episodes are published on SwitchWebtoon. It is a tool and a channel where content accumulates.

  2. Acquisition

    A light way in

    SwitchClip lets people make shorts on the web with nothing to install. It is already public with payments attached, and it is the entry point that leads creators who make shorts toward SwitchLog.

  3. Cash · IP

    A character we own

    Shouting Mamot is a fortune service that is live and taking payments. It earns cash independently of the tools and builds character IP. Mamot Store is the step that tests whether that IP sells as goods.

  4. Origin

    The product we have run longest

    The REWYND game was the studio’s first product. Shipping and running it on mobile in several languages, end to end, is the experience every later product was built on.

Portfolio

Status is shown exactly as each product’s site shows it.

SwitchLogCOMING SOONFlagshipMac app that turns raw footage into a video and its shortsApp Store subscription · free until export
SwitchToonCOMING SOONExtensionMac app that makes a webtoon episode from an ideaApp Store subscription planned · making is free
SwitchClipLIVEAcquisitionWeb service that makes shorts from reuse-allowed videosPay per export · no subscription
Shouting MamotLIVECash · IPFortune service told by a marmot characterPay per reading · free content alongside
Mamot Store
COMING SOONIP testCharacter goods and giftsProduct sales · in preparation
REWYNDLIVEOriginRetro social adventure gameDistributed on the App Store and Google Play

Where we are

SwitchLog is being prepared for its Mac App Store launch. SwitchClip, Shouting Mamot and REWYND are live, and SwitchToon is coming.

User counts, revenue and growth are not on this page. Ask for the deck and we will send them in a form you can verify.

Ask

What we are looking for

  • InvestmentCapital to extend creator partnerships and global business development.
  • Pilot partnersCreators, editors and MCNs to fit a profile on a real editing workflow.
  • Global BDSomeone to lead international creator and agency partnerships and enterprise sales.

If you would like to talk

A deck and product demos are ready. Send an inquiry with the topic set to Investment.

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