Stellitron ADEC
Surgical Dialogue Isolation Powered by Multimodal AI
Surgical Dialogue Isolation Powered by Multimodal AI
The Dialogue Dilemma
The current dialogue cleaning workflow in film and high-end television post-production is inefficient, expensive, and technically constrained. Traditional noise reduction filters fail when noise overlaps spectrally with speech, leading to compromised quality or forcing costly reshoots/ADR.
- ⚠Traditional spectral filters introduce audible artifacts (phasing, 'watery' sound).
- ⚠High reliance on expensive Automated Dialogue Replacement (ADR) sessions.
- ⚠Sound editors spend 40%+ of their time manually cleaning dialogue tracks.
Stellitron ADEC: Visually Grounded Audio Cleaning
ADEC introduces a multimodal, AI-driven segmentation tool that uses visual context (semantic segmentation of the speaker via mask) and temporal alignment (script/line prompt) to surgically isolate the intended dialogue track. This transforms noise reduction from a spectral filtering problem into an object-oriented segmentation task.
Visual Prompt
The editor draws a visual mask around the speaking actor on the video frame.
Temporal Prompt
The editor specifies the exact temporal span (dialogue start/end time or script line).
Surgical Isolation
ADEC’s multimodal AI correlates the visual and temporal data to isolate the target dialogue and suppress all other acoustic events (noise, overlaps, artifacts) with surgical precision.
System Architecture
- Video Stream (Frames)
- Acoustic Data (WAV/AIF)
- Semantic Mask (Visual Prompt)
- Temporal Metadata (Line Prompt)
- Computer Vision (CV) Segmentation Layer
- Temporal Alignment Engine
- Multimodal Correlation Network (Proprietary)
- Acoustic Separation & Synthesis Layer
- Clean Dialogue Track (Isolated)
- Noise/Artifact Track (Suppressed)
- Processing Report (Confidence Scores)
- AAX/VST/AU Plugin (Pro Tools, Logic, Nuendo)
- NLE Integration (Premiere, Resolve)
Why This Is Hard to Copy
- ✓Requires massive, proprietary datasets of synchronized high-fidelity video and multi-track audio.
- ✓Multimodal integration of CV and acoustic processing is novel and complex to train.
- ✓Requires deep expertise in both machine learning and professional signal processing.
- Proprietary Multimodal AI Architecture (Visual-Acoustic Core)
- Low-Latency, Artifact-Free Separation Algorithms
- Seamless integration into existing professional DAW workflows (avoiding new platform adoption).
- Superior separation quality compared to purely spectral competitors (iZotope RX).
- Dataset compounding advantage: Every use case generates highly valuable, labeled ground truth data.
- Customer switching costs increase after deep integration into studio post-production pipelines.
- Model performance improves exponentially with usage in diverse production environments.
Massive Market Opportunity in Post-Production
“The global content production boom and the push for AI-driven efficiency are driving a 22% CAGR in post-production tools that automate complex, manual tasks.”
Competitive Landscape: The Multimodal Advantage
Competitive Landscape
| Feature | iZotope RX (Incumbent) | Descript (AI Content) | IRIS Audio (Real-Time Comm) | Stellitron ADEC (Our Focus) |
|---|---|---|---|---|
| Spectral Noise Reduction Core | High | Medium | Medium | High |
| Visual/Semantic Dialogue Grounding | Low | Low | Low | High (Proprietary) |
| High-End Film Workflow Integration (AAX) | High | Low | Low | High |
| Automated Temporal Alignment | Medium | High | Low | High |
Business Model: High LTV Enterprise Focus
Professional Subscription (Prosumer)
Targeted at independent sound engineers, podcasters, and smaller production houses. Tiered feature access.
Enterprise Licensing (Studios/Platforms)
Annual site licenses for major post-production facilities and streaming platform internal teams, including dedicated support and custom integration.
Usage-Based Processing Fees
High-volume clients pay per minute of processed dialogue, especially for cloud-rendered, high-fidelity jobs. Drives revenue alignment with production volume.
Traction & Validation (Dec 2025)
““ADEC’s ability to isolate dialogue based on the actor's mask is a game-changer. It handled complex overlapping noise that traditional tools failed on, saving us days of manual editing.” - Lead Sound Editor, Major Streaming Service Post House”
Financial Projections (ARR Focus)
Yearly Revenue Projections
Operating Assumptions & Burn Logic
Key Performance Indicators
The Ask: $4,000,000 Seed Round
Exit Strategy: Strategic Acquisition by Platform Incumbents
Exit Scenarios
Comparable Exits
Risk Analysis & Mitigation
Risk Analysis & Mitigation
Established Competitor Entrenchment (iZotope RX).
Focus on niche superiority (visual-grounded cleaning) and secure deep workflow integration partnerships (AAX/VST compatibility).
Inaccurate or 'Artifact-Heavy' Cleaning.
Prioritize 'transparency' (natural sound) over aggressive cleaning; implement robust MLOps and continuous feedback loops with professional audio engineers.
Need for Continuous, Expensive R&D Investment.
Structure funding rounds to cover 18-24 months of core R&D runway, including computational resources, and explore non-dilutive grant funding.
Dependence on Key AI/Audio Engineering Talent.
Implement strong retention strategies (equity, competitive salary); hire experienced industry advisors to guide product development.
Sources & References
Generated by
Stellitron AI
Data Sources
Stellitron Internal Financial Models
Industry Reports (Cited Above)
Exa AI Web Search (December 2025 Context)
References
PwC Global Entertainment & Media Outlook 2025
Market Analysis (CAGR)
Hedgehog Post-Production Survey 2024
Empirical Data (ADR Costs)
Post Magazine Industry Report 2025
Empirical Data (Editor Time Allocation)
RX 11 Background Noise Removal & Audio Cleanup Software | iZotope
Competitive Intelligence
AI Agents Valuation Multiples: Mid-2025 Update | Finro Financial Consulting
Funding Insights
For inquiries, contact:
contact@stellitron.comThis pitch deck is for illustrative purposes. All financial projections, valuations, and market data are estimates and should be validated with professional advisors.