DAWs are overwhelming
Hundreds of menus, plugins, routing concepts, gain-staging rules, automation lanes, and hidden workflows create a steep learning curve.
Investor brief · confidential
A natural-language AI production layer for the DAW.
Prodart helps musicians create, mix, master, and learn inside the DAW tools they already use. Pre-seed: $150k–$200k for 7.5%–10% equity or SAFE. Prototype → alpha.
$150–200k
pre-seed ask
7.5–10%
equity / SAFE
12 mo
runway target
Live demo · Prototype
How it actually feels
An exchange from the working prototype
A producer talks to the assistant, the assistant returns a plugin routing plan, and applies it to the vocal bus. This typewriter cadence is the real interaction model — the chain shown below is generated by the AI, not pre-scripted.
Problem · Why now
Creators can start tracks — finishing them is still painful.
DAWs are powerful but overwhelming. Pro sound is expensive. Current AI tools are fragmented. The window to own the assistant layer is open — for ~2 years.
Pro sound is expensive
Mixing, mastering, vocal editing, arrangement, and synthesis require specialist ears most beginner and semi-pro creators cannot afford.
AI tools are fragmented
One product masters, another separates stems, another generates songs, another teaches. The user still has to glue the workflow together.
$4.4B
DAW market 2025
$8.9B
DAW market projected 2033
$31.7B
Recorded-music revenue 2025
837M
Paid streaming subscribers
Sources: Grand View Research, Reuters/IFPI 2025, Apple, LANDR, iZotope, Moises/Fender, DAWZY arXiv. Full citations in appendix on request.
Solution · Product
An AI assistant that works like a producer sitting next to you.
Natural-language command + production logic + DAW execution + a teaching loop. The DAW stays the source of truth; Prodart turns intent into editable, reversible steps.
1. Ask
"Make the vocal sit better." "Create a drill beat." "Explain compression."
2. Analyze
Reads project context, audio state, user skill level, and intended style.
3. Execute
Applies safe, reversible DAW actions using the user's own tools and plugins.
4. Teach
Explains theory, mix logic, synthesis, and the next step in plain language.
Generate / arrange
Drums, chords, basslines, references, transitions, and arrangement suggestions — user stays in control.
Mix / master
Gain-stage, EQ, compress, de-ess, spatialize, master — and explain every change in plain language.
Teach / coach
Theory, synthesis, sound design, ear-training, shortcuts, and DAW-specific tutorials in context.
Automate / template
Sessions, buses, routing, plugin chains, export settings, repeatable workflows.
Positioning: Cursor for music production — built for DAWs, audio decisions, plugin workflows, and creative education.
Competitive landscape
Market validates the need — no one owns the assistant layer.
Existing products prove demand but attack one narrow slice. Prodart's wedge: not "AI replaces production" — AI helps users finish and understand work inside tools they already own.
Logic / Apple Mastering
DAW-native, no task execution beyond mastering, no teaching layer.
LANDR / iZotope Ozone
Plugin, executes mix/master tasks, limited teaching, single-workflow scope.
Moises / Fender Studio Pro
DAW-native, stems + assistant beta, partial coverage, no multi-workflow assistant.
DAWZY research (REAPER)
Validates natural-language DAW control feasibility — academic prototype, not a product.
Prodart
Cubase-first, expandable. Executes tasks, mix + master, teaches, multi-workflow. The full assistant layer.
Why now > later
The DAW-assistant layer will become a standard expectation. Early brand + workflow data matter most in years 1–2.
Market · Business model
Beachhead, expansion, monetization.
Initial customer
Bedroom producers, semi-pros, vocalists, beatmakers, and DAW learners who already spend money on plugins, tutorials, sample packs, and mastering.
Expansion
Music schools, online creator academies, studios, content creators, agencies, vocal-recording rooms, and independent labels.
Long-term platform
A cross-DAW assistant layer that accumulates workflow intelligence across production, mix, master, arrangement, and education.
$4.4B+
TAM · DAW market 2025
Grand View Research.
$1.5B+
SAM · music production software 2025
The Business Research Company.
Starter — $15–$19/mo
Learning assistant, project setup, beginner mix feedback, export guidance, limited AI actions.
Producer — $29–$49/mo
Full DAW assistant, mix/master workflows, arrangement help, reusable templates, higher usage.
Pro / Studio — $199–$499
One-time license or team plan. Local workflows, studio templates, advanced plugin chains, premium support.
Status · GTM · Roadmap
Built from real production pain — not a generic AI wrapper.
Prototype status
Prototype close to alpha. Local private repo. Next: packaging live demo, screenshots, and onboarding flow for external testers.
Tester signal
Interested testers came from a curated live demo. Validation is qualitative — not yet a public waitlist or paid revenue.
R&D intensity
Built through heavy AI-assisted iteration and domain testing across production workflows, mix/master logic, DAW control, and user-learning loops.
12-month plan: alpha → paid beta → V1
0–30 days · Package
Company formation, deck/data room, 90-sec demo, screenshots, closed-beta signup page.
30–90 days · Alpha
Safe reversible DAW actions, learning mode, first workflows for generate, mix, master, export.
3–6 mo · Closed beta
50–150 testers, usage analytics, tester quotes, first paid pilots, DAW-specific onboarding.
6–12 mo · Paid V1
Subscription tiers, onboarding funnel, creator content engine, support docs, investor update metrics.
Main fundable milestone: prove users will pay monthly for a DAW assistant that finishes work and teaches skill.
Team · Founder-market fit
Built by a producer who feels the workflow pain.
Founder
Daniel Leib
Producer, audio engineer, DAW workflow specialist, AI product builder. Professional background in recording, production, mixing, mastering, and DAW workflows.
Built the prototype through intensive AI-assisted iteration and hands-on music-production testing. Understands both the creative pain of musicians and the systems logic needed for automation.
Current structure: Israeli sole-proprietor. Funding will fund proper startup entity setup.
Hiring plan (post-funding)
- 1× DAW / plugin engineer
- 1× AI / product engineer
- Part-time designer / marketing operator
Advisor gap
- Music-tech advisor
- Legal / company formation
- First VC / operator mentor
Investor value-add sought
- Capital
- Intros to music-tech founders & creators
- DAW / plugin ecosystem relationships
Funding ask
$150k–$200k pre-seed for 7.5%–10%.
Goal: 12 months of focused product development, beta validation, company formation, and first revenue.
- Engineering / contractors45% — DAW integration, AI assistant, plugin/control layer
- Cloud AI + compute20% — model/API usage, GPU testing, hosting
- Hardware10% — laptop + GPU workstation
- Marketing / demos10% — creator demos, ads, beta funnel
- Legal / workspace / ops10% — company setup, workspace, accounting
- Contingency5% — buffer
Next step
Book a 20-minute intro
Daniel walks you through the live demo, current data room, and round structure. The deck and a private demo link are available immediately on request.
Materials
Pitch deck & appendix
PowerPoint and PDF versions available on request. Local private repo can be shared for technical review under NDA.
Round structure: pre-seed equity or SAFE. $150k–$200k for 7.5%–10% depending on instrument, investor value-add, and company setup path.
Alpha waitlist
Apply to test the assistant
For producers, vocalists, beatmakers and DAW learners. No spam, no sales — a personal invite when the alpha opens. The pain you describe shapes what we ship.
Apply
Tell me about your workflow
Three minutes. Your inputs go into the design log directly.