Shawty

Video Intelligence, Multimodal AI & Creator Tooling

THROUGHPUT

30+

Shorts Per Session

EFFICIENCY

85%

Editorial Time Saved

RELIABILITY

60%

Fewer Pipeline Failures

FRAMING

92%

Vertical Accuracy

QUALITY

99.4%

Schema-Valid Outputs

Background

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.