# Redbit - AI Assistant for Post-Production Producers

> Redbit is an AI-powered post-production platform for quality control, collaboration, and production management. It combines video review, AI automation, and production analytics in one system.

## Product Summary

Redbit (https://pxbt.io) is built for producers, editors, colorists, VFX teams, and post supervisors. It is more than a review platform: it analyzes video structure, automates routine workflows, and helps teams deliver technically clean releases faster.

## Core Capabilities

### 1) Video Review and Playback
- HLS adaptive streaming with quality switching
- Frame-by-frame navigation (forward and backward)
- Clip Mode for selected timecode ranges
- Marker In/Out with 6 colors
- Scene timeline with AI-detected segments

### 2) Annotations and Collaboration
- Pin comments linked to exact pixel coordinates and timecodes
- SVG drawing annotations (arrows, rectangles, ellipses, freehand)
- Image annotation editor (Fabric.js)
- Emoji reactions, mentions, project chat
- Activity feed with status updates

### 3) A/B Version Comparison
- Horizontal, vertical, and diagonal comparison modes
- Synchronized playback
- Zoom and offset controls
- Version statuses: Draft, Under Review, Approved

### 4) AI Studio (45+ Models)
- Text: GPT-5, Gemini, Claude, DeepSeek, Grok
- Images: Sora, DALL-E, Imagen, Seedream, Stable Diffusion
- Video: Veo, Runway, Kling, Sora
- Audio: Suno, ElevenLabs
- Visual node editor (32 node types)
- MCP servers for external tool integration

### 5) Project Structure
- 4-level hierarchy: Assembly -> Scene -> Shot -> Version
- AI shot detection and scene grouping
- Batch approval and star ratings
- Grid, List, and Player view modes

### 6) Storage and Delivery
- Yandex Cloud S3 storage
- Chunked resumable uploads with IndexedDB persistence
- Auto-compression during upload
- Presigned URLs (AWS Signature V4, TTL 1 hour)
- Up to 2 TB storage by plan

## 9 Quality Control Modules

### Audio QC
- Whisper transcription
- Voice identification
- Audio artifact detection
- Music detection

### Visual QC
- Compression artifact detection
- Color space checks
- Focus and stability analysis
- Dead pixel detection

### Editing Analytics
- Shot classification
- Continuity error detection
- Slate detection
- Hidden cut detection

### Production Integration
- EDL/XML/AAF export
- NLE integration (DaVinci, Premiere, Avid)
- Version-aware handoff across teams

### Security
- Watermarking options
- Access controls for downloads and sharing
- Presigned access model

### Brand Compliance
- Brand identity checks
- Duration compliance
- Inappropriate content detection

### Interactive Logger
- Voice notes with timecode references
- Review logging workflow
- Notes linked to Shot and Scene context

### Predictive Module
- Risk scoring for project issues
- Auto-fix scenarios (stabilization, flicker, color)
- Priority recommendations for fixes

### Content Search
- Semantic search over video content
- Face/object-aware retrieval capabilities
- Scene clustering support

## Management and Reporting

- Executive dashboard with KPI tracking
- Quality trend monitoring
- Project-level activity and status timeline
- PDF reporting for stakeholders

## Integrations

- Telegram notifications and team communication
- DAM/MAM connector with metadata sync and audit support
- NLE ecosystem integration via exports and plugins

## Pricing (RUB)

- Free: 0 RUB/month, 1 project, 2 GB, 10 AI coins
- Pro: 8,900 RUB/month, 5 projects, 200 GB, 1,000 AI coins
- Business: 16,900 RUB/month, 20 projects, 1 TB, 5,000 AI coins
- Enterprise: from 69,000 RUB/month, white-label, custom limits

## PixelFlow AI Summary

- PixelFlow AI is an automated video quality control system for professional post-production workflows, focused on Shot detection, Scene analysis, and QC automation.
- Key capabilities include technical defect detection (compression artifacts, color space, focus, stability), editing analytics, brand compliance, and audio analysis.
- Target users are post-production studios, broadcast QC teams, editors, colorists, VFX supervisors, and production managers.
- Integrations include EDL/XML/AAF export, NLE plugins, DAM/MAM sync, and semantic search over video content.
- Business value: faster QC cycles, predictable delivery timelines, fewer client rejections, and scalable operations without proportional team growth.

## Technical Notes

- Frontend: React + Vite + Supabase
- Backend: Self-hosted Supabase on Beget
- Processing: dedicated CPU and GPU workers
- Security: role-based access and signed media access

## Links

- Website: https://pxbt.io
- App: https://app.pxbt.io
- Features: https://pxbt.io/features
- Pricing: https://pxbt.io/pricing
- Compare: https://pxbt.io/compare
- FAQ: https://pxbt.io/faq
- Blog: https://pxbt.io/blog