Track TV Premieres Before They Trend.
AirDate uses AI to scan network signals and studio data so you get confirmed return dates, not internet rumors.
The Invisible Engine.
Redefining Metadata Orchestration for the Content Supply Chain
The Challenge: Scheduling Volatility
In the modern streaming landscape, metadata is high-entropy. Authoritative databases often suffer from "Knowledge Latency"—a gap between real-world production shifts and systemic updates. This creates data fragmentation, name ambiguity, and title collisions that degrade the user discovery experience.
The Solution: Signal Intelligence
AirDate is a serverless Metadata Orchestration Platform. We harmonize static, authoritative metadata with transient, unstructured production signals through a parallel RAG (Retrieval-Augmented Generation) architecture. By synthesizing live studio markers and trade intelligence in real-time, we deliver a high-fidelity "Network Signal" that bypasses traditional training-data cutoffs.
The Mechanism
ID-Locked Precision
Utilizing a strict ID-aware disambiguation layer to resolve multi-version title collisions (e.g., 2006 vs 2026 reboots) and eliminate AI hallucinations.
Neural Synthesis
Leveraging Amazon Bedrock to quantify sentiment and community hype into actionable "Critics Choice" performance metrics.
Our goal is to make discovery technology invisible, intelligent, and invincible.