Screenshot of the Stem separation and remix production workbench interactive demo
Screenshot of the interactive demo, on sample data

Stem separation and remix production workbench

Reduce tool switching and manual file handling while keeping the buyer's audio and workflow in one owned app.

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For
Producers, DJs, audio editors and media teams working with recorded music and dialogue
Solves
Separating tracks into stems, isolating parts and building remixes requires several rented tools and manual file handling.
Delivers
Reviewed stem sets and remix versions linked to the source track
Built in
about 5 weeks of creation time, MVP in 6 days
Investment
$13,000 for the MVP, $44,000 for the full product
Run it
Inside your business, or as part of your offer to clients
01

What it does

Reduce tool switching and manual file handling while keeping the buyer's audio and workflow in one owned app.

  1. Separate any audio track into vocals, drums, bass and other instruments.
  2. Isolate or mute specific vocals and instruments.
  3. Generate instrumental versions by removing vocals.
  4. Build remixes and mashups from existing tracks.
  5. Separate dialogue, music and effects for film, TV and dubbing.
  6. Isolate overlapping voices into distinct tracks.
  7. Support immersive mixes such as Dolby Atmos and Sony
  8. Transcribe lyrics from audio.
  9. Generate click tracks in sync with any song.
  10. Change playback speed for practice.
  11. Change the key of a song in one step.
  12. Detect the key of a song.
  13. Detect and display chords in real time.
  14. Provide mobile, desktop and web access.
  15. Search a licensed music library for mashups and remixes.
  16. Suggest song parts and pairings.
  17. Compare the reviewed result with the recorded baseline and value assumptions.
  18. Capture corrections and named-owner approval before consequential use.
  19. Export a versioned reviewed stem set and remix version linked to the source track with source references and unresolved questions.

Everything these tools do, in one app

What goes in, what comes out

What the customer puts in
  • Licensed audio tracks
  • Dialogue recordings
  • Session settings

AI drafts, people review. Visual production platform with managed creative review.

What the customer gets
  • Reviewed stem sets
  • Remix versions linked to the source track
02

How it works

The workflow

  1. In
    Start with

    Licensed audio tracks, dialogue recordings and session settings

  2. 1

    Confirm the buyer's problem and scope

  3. 2

    Collect licensed audio tracks

  4. 3

    Dialogue recordings and session settings

  5. 4

    Then follow this sequence: 1

  6. Out
    Finish with

    Reviewed stem sets and remix versions linked to the source track

AI does the heavy lifting, people stay in charge

Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the stated task modules. Use deterministic code for arithmetic, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. One fixed sample rate and licensed source set; final mix and rights checks remain human. A model suggestion is never a verified fact, professional decision or authorization to act.

What your team sees

Primary screens: Audio intake and rights check, Stem and remix editing canvas, Client review and delivery. Use a track gallery for projects, a large central waveform and stem editor, and a right-hand panel for stems, key, tempo, lyrics and comments. Let users compare versions side by side. Display draft, changes requested and approved states. Provide a client preview link with comments anchored to the relevant timecode. Make the task-specific outcome reviewed stem sets and remix versions linked to the source track visible beside its evidence, review state and value baseline.

Accounts and administration

Project ownership, asset versions, client comments, approval states, usage allowances, revision limits, download history and a rights record for supplied material. Add organization access boundaries, named reviewers, usage caps, data retention controls, export logs and explicit approval for external actions.

Integrations and data access

Buyer-owned audio files, authorized dialogue recordings and permitted music sources. Cloud asset storage, DAW file import/export and publishing destinations. Start with file exchange and validate destination specifications before promising direct publishing. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.

03

How we build it

We build with our own AI software development factory, so most implementations take days to a few weeks of creation time, not months. You see working software at every step, and exact timing depends on availability.

  1. 1

    Scoping call

    Day 1

    Thirty minutes on your process, your data and how you want to run it: for your own team, or for your clients. You get a fixed scope and price for the MVP.

  2. 2

    MVP

    6 days

    One buyer segment, one recurring use case; first modules: separate any audio track into vocals, drums, bass and other instruments; isolate or mute specific vocals and instruments. Manual review in the loop. Built by our AI software factory.

  3. 3

    Paid pilot

    7 days

    Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.

  4. 4

    Full product

    3 weeks

    Self-serve onboarding, billing, monitoring and the wider integration set.

  5. 5

    Run and improve

    Monthly

    We host, monitor and improve it for a fixed monthly fee, or hand it over to your team. How the retainer works.

Why we start with an MVP

An MVP, or minimum viable product, is the smallest version that your users can actually work with. It is not a cheap version of the full solution. It is a test, built to answer the questions that decide whether the rest is worth building.

  1. Pick the riskiest assumption. Here: will producers, DJs, audio editors and media teams working with recorded music and dialogue use it to solve "separating tracks into stems, isolating parts and building remixes requires several rented tools and manual file handling"?
  2. Build only what tests it. One team, one use case, a few core modules. People do the rest by hand for now.
  3. Run a paid pilot. Agree quality and outcome thresholds before the pilot using this measure: Accepted stem sets per production hour and corrections after mix approval.
  4. Measure, then decide. Track accepted stem sets per production hour and corrections after mix approval; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase. Then expand, change course or stop, with evidence instead of opinions.

MVP scope for this solution. Pilot scope: One fixed sample rate and licensed source set; final mix and rights checks remain human. Implement one approved input format, a bounded representative case set and the first two task modules: separate any audio track into vocals, drums, bass and other instruments; isolate or mute specific vocals and instruments. Support the third module with operator review: build remixes and mashups from existing tracks. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.

After the MVP. Once paid pilots prove usefulness, automate repeatable reviewed steps and add one verified source integration. Expand supported inputs and case volume only after new evaluation cases pass. Build reusable customer configurations and recurring value reports around reviewed stem sets and remix versions linked to the source track. Retain the explicit scope boundary: One fixed sample rate and licensed source set; final mix and rights checks remain human.

What the build depends on. Asset upload and preview, asynchronous separation jobs, editable version history, reviewer access and tested export formats. High-fidelity production requires specialist audio QA. Obtain representative authorized cases, baseline measurements, qualified reviewers and a buyer-side decision owner. Specific limitation: One fixed sample rate and licensed source set; final mix and rights checks remain human.

04

Investment

A planning range to start the conversation, not a quote. You pay per phase, so you can stop after the MVP.

  1. Phase 1

    MVP

    One buyer segment, one recurring use case; first modules: separate any audio track into vocals, drums, bass and other instruments; isolate or mute specific vocals and instruments. Manual review in the loop.

    $13,000 · about 6 days of creation time

  2. Phase 2

    Paid pilot

    Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.

    $13,000 · about 7 days of creation time

  3. Phase 3

    Full product

    Self-serve onboarding, billing, monitoring and the wider integration set.

    $18,000 · about 3 weeks of creation time

Indicative total, MVP to full product$44,000about 5 weeks of creation time · start with the MVP from $13,000

Running costs per month

A rough indication of monthly hosting and AI model costs once it is live, not tested. Real costs depend on usage, file sizes and the models chosen.

StageHosting and infrastructureAI usageTotal per month
MVP and paid pilotabout 3 customers$40–$80$150–$310$190–$390
Full productabout 50 customers$160–$320$2,100–$4,200$2,260–$4,520
05

Run it or resell it

Internally

For your own team

Producers, DJs, audio editors and media teams working with recorded music and dialogue run it inside the business: licensed audio tracks, dialogue recordings and session settings in, reviewed stem sets and remix versions linked to the source track out, reviewed by your people.

For your clients

As part of your offer

Agencies, consultancies and software companies can offer it to their own clients under their brand. We build and maintain it; you sell and deliver it.

Your brand, or this one

Run it under your own brand, or start from this concept style.

  • primary#914e27
  • accent#5487c9
  • surface#f1e9e4
  • ink#22201e
Headings
Space Grotesk
Text
Inter
Voice
Confident, visual, craft-proud
Selling it to your own clients: the go-to-market playbook

Pricing to test

Test a USD 300-1,500 fixed pilot for one defined audio package. Offer a monthly production allowance after repeat demand. Quote complex immersive or multi-speaker work separately. These are test prices, not market benchmarks. Package the initial sale as one bounded reviewed stem set and remix version linked to the source track. Recurring fees must specify volume, review depth and integration support. For exchanges, test a disclosed coordination or successful-service fee rather than holding customer funds. Reprice only after measuring real delivery labor; platform-build cost is separate from a commercial pilot fee.

Message to test

Reduce tool switching and manual file handling while keeping the buyer's audio and workflow in one owned app. Demonstrate a concrete reviewed stem set and remix version linked to the source track using the buyer's approved example and show the baseline, corrections and actual delivery effort.

Where to find buyers

Producers, DJs, audio editors and media teams professional communities; specialist consultants serving this buyer; permissioned partner introductions; practical demonstrations at relevant trade or practitioner events.

Lead magnet

A reviewed sample reviewed stem set and remix version linked to the source track from a small authorized input set, with a transparent calculation of accepted stem sets per production hour and corrections after mix approval and no promised savings.

The first 30 days

  1. Week 1: interview five producers, DJs, audio editors and media teams working with recorded music and dialogue and inspect a recent example of separating tracks into stems, isolating parts and building remixes requires several rented tools and manual file handling.
  2. Week 2: prepare a consented or synthetic demonstration of the three task modules.
  3. Week 3: seek one bounded paid pilot with agreed baseline and acceptance criteria.
  4. Week 4: measure accepted stem sets per production hour and corrections after mix approval, reviewer effort and repeat-purchase interest. This is a demand-validation plan, not a thirty-day full-product delivery promise.

Paid pilot

Agree quality and outcome thresholds before the pilot using this measure: Accepted stem sets per production hour and corrections after mix approval. Continue only if the buyer accepts the actual output, the intended job outcome improves without unacceptable errors, and measured delivery cost fits willingness to pay. Revise or stop if access is unavailable, qualified review cannot be provided, or apparent savings disappear after corrections and support. Use held-out cases when comparing model quality; use a properly reviewed comparison design before making causal claims. Record missing cases and negative results alongside successful outputs.

Success metrics

Accepted stem sets per production hour and corrections after mix approval; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase.

Retention and expansion

Repeat the workflow when the buyer again needs reviewed stem sets and remix versions linked to the source track. Retain permissioned settings and reviewed examples, report realized value honestly, and sell increased volume or adjacent approved workflows only after contribution margin and quality remain acceptable.

Why clients would pick it

A reusable library of approved stem settings, rights records and review examples, together with reliable delivery for a narrow audio niche. Build a permissioned library of representative task cases, reviewer corrections and verified operating constraints for producers, DJs, audio editors and media teams working with recorded music and dialogue. Repeatable delivery and useful integrations matter more than access to a base model.

Alternatives and positioning

AV Mapping, Audioshake, Boomy and MashApp Music. Compare this product with the buyer's present method on accepted stem sets per production hour and corrections after mix approval. Offer a bounded paid workflow instead of claiming broad autonomous expertise. Market uniqueness and competitor coverage are not verified.

Main delivery costs

Separation attempts, audio processing, storage, reviewer hours, client revision rounds and licensed source assets. Additional initial validation requires representative authorized sample preparation, buyer interviews, buyer-side evaluation and bounded validation of reviewed stem sets and remix versions linked to the source track. Track cost per accepted output, including correction work, unsuccessful cases and support.

06

Safeguards

Preserve source attribution, rights permissions and mix intent. Rights holders and named reviewers approve substantive changes and publication scope. One fixed sample rate and licensed source set; final mix and rights checks remain human. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.

Get this solution built

Built for you by our AI software factory, MVP in about 6 days. Tell us about your business and how you want to run it: inside your company, or as part of what you offer your clients. We reply within one working day.

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