Partnering with CodeAI to Prepare the First AI Generation
AI Executive Summary
Co-founded by Stefan Fejes and Veljko Tornjanski, Preview is an AI-native video production platform that integrates a video timeline with an infinite canvas to solve workflow bottlenecks for over 100 studios managing up to $100M budgets.
Backed by Sequoia Capital, the collaborative multiplayer workspace enables professional creators to track characters, locations, and props across diverse generative models.
This unified environment resolves the fragmentation of legacy editing pipelines by providing complete provenance records for legal clearance of AI-generated assets.
Why It Matters
Strategic TakeawayThe transition of generative video from isolated model outputs to structured, multi-model production pipelines requires a fundamental redesign of the creative IDE. Preview establishes a single source of truth that manages token inference, asset lineage, and collaborative workflows, bypassing the file-storage bottlenecks of legacy video editing suites.
Multi-Vector Implications
- TECHNICALIntegrating infinite canvases with video timelines requires real-time state synchronization of multi-model token inference and asset metadata across collaborative multiplayer sessions.
- MARKETLegacy video editing suites face rapid obsolescence as production studios shift budgets toward AI-native workspaces that natively orchestrate model outputs rather than raw file storage.
- GOVERNANCEAutomated tracking of character, prop, and location lineage across generative models provides the deterministic provenance required for legal clearance in commercial film production.
Strategic Outlook
12-18M HorizonOver the next 12-18 months, expect Preview to deepen integrations with leading foundation video models, transitioning from a collaborative orchestration layer into an active inference-routing hub that dynamically optimizes model selection based on asset consistency and budget constraints.
Referenced Coverage & Sources
2 Sources CombinedRead the full coverage below for original reporting, technical benchmarks, and complete primary source details.
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OpenAI
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Agentic AI
Agentic AI refers to artificial intelligence systems designed to act autonomously, make decisions, plan workflows, and execute tasks without constant human intervention. Unlike traditional models that only respond to queries, agentic systems use an agentic loop to perceive environments, reason over goals, use tools, and iterate to achieve outcomes.
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