THROUGHPUT
30+
Shorts Per Session
Video Intelligence, Multimodal AI, & Creator Tooling
THROUGHPUT
Shorts Per Session
EFFICIENCY
Editorial Time Saved
RELIABILITY
Fewer Pipeline Failures
FRAMING
Vertical Accuracy
QUALITY
Schema-Valid Outputs
When creative output is bottlenecked by manual editing
Scaling video content requires more than just high-quality footage; it requires the speed to meet platform demands. The bottleneck of frame-by-frame scrubbing prevents creators from reaching their audience while the content is still relevant.
The Intellema Design Challenge
Media teams frequently struggle to transform long-form video into platform-ready shorts, spending hours on manual trimming and reframing. This labor-intensive process limits content volume and delays the distribution of time-sensitive highlights.
The project called for an automated video-to-shorts pipeline featuring multi-LLM fallback and local-first processing for sensitive footage. It focused on transcript-grounded analysis and multimodal ingestion to ensure high-accuracy highlight selection and brand-aligned exports.
A video-to-shorts pipeline yielding multiple titled segments per source, backed by automated reasoning for each selection.
High-availability architecture using OpenAI, Anthropic, Grok, and local Ollama to bypass API throttling and ensure system uptime.
Support for local files, YouTube URLs, and brand-specific JSON metadata to ensure on-brand titles and aesthetic alignment.
Precision cut-point identification using LLM refinement and Pydantic validation for structured, reliable output over naive selection.
