An AI video conversion system optimized for your team
A team video platform for managing imports, AI editing, and uploads in one place. Support for internal infrastructure integration and content-specific algorithm development.

“We want to pull videos directly from our company storage.”

“We want short-form trends analyzed and applied automatically.”

“We want to connect social accounts and manage video uploads.”

“We want to add custom features for our company.”



EBS Documentary adopted FikaClip to reduce the need for editors to manually review documentary content. As a result, videos edited with FikaClip achieved higher view counts than those produced by professional editors.


Yonhap News Agency applied FikaClip to global issue content, where even simple summaries can drive traffic. This helped reduce repetitive editing tasks while maintaining consistent performance.


Sampro TV adopted FikaClip for investment content that involves extensive commentary and explanations. By reducing the need for editors to rewatch videos, the team improved overall content production efficiency.


Knowledge Inside applied FikaClip to educational content that explains topics people are curious about. This enables the team to produce short-form videos faster while maintaining the same level of quality.


SUBUSU NEWS adopted FikaClip for fast-moving social issue and news content. By quickly extracting key scenes and messages, the team can produce shorts faster while reducing the editing load required for timely coverage.


KLAB uses FikaClip to repurpose explanatory news and trend content into short-form videos. The workflow helps the team identify engaging moments in long videos and reduce repetitive editing time.


KRBC applied FikaClip to turn racing broadcasts and related video assets into shorter, more accessible clips. The team can select key moments faster and streamline the short-form production flow for channel operations.


BODA adopted FikaClip for interview and knowledge-driven videos with longer narrative context. The workflow helps extract key remarks and high-retention moments, expanding long-form content into multiple shorts.


EBS Documentary adopted FikaClip to reduce the need for editors to manually review documentary content. As a result, videos edited with FikaClip achieved higher view counts than those produced by professional editors.


Yonhap News Agency applied FikaClip to global issue content, where even simple summaries can drive traffic. This helped reduce repetitive editing tasks while maintaining consistent performance.


Sampro TV adopted FikaClip for investment content that involves extensive commentary and explanations. By reducing the need for editors to rewatch videos, the team improved overall content production efficiency.


Knowledge Inside applied FikaClip to educational content that explains topics people are curious about. This enables the team to produce short-form videos faster while maintaining the same level of quality.


SUBUSU NEWS adopted FikaClip for fast-moving social issue and news content. By quickly extracting key scenes and messages, the team can produce shorts faster while reducing the editing load required for timely coverage.


KLAB uses FikaClip to repurpose explanatory news and trend content into short-form videos. The workflow helps the team identify engaging moments in long videos and reduce repetitive editing time.


KRBC applied FikaClip to turn racing broadcasts and related video assets into shorter, more accessible clips. The team can select key moments faster and streamline the short-form production flow for channel operations.


BODA adopted FikaClip for interview and knowledge-driven videos with longer narrative context. The workflow helps extract key remarks and high-retention moments, expanding long-form content into multiple shorts.
Live · Sports · Esports
A single match can run four hours. FikaClip reads the context and storyline of the whole broadcast, so the shorts are ready right after the stream — final moment included.
StarCraft
LoL
PUBG
TFT
Volleyball
Billiards
Horse racing
Real analysis · 2h 57m esports final broadcast
0:1
0:2
1:2
2:2
2:3
3:3
4:3
1
2
3
4
5
6
7
0:00
0:30
1:00
1:30
2:00
2:30
2:57
Crowd volume (dB vs. baseline)
Chat density
Auto-detected set endings · score
Auto-segmented broadcast structure · dark blocks are match sets
37s
Shorts auto-generated from a 2h 57m broadcast
50,995
Chat messages used to detect reaction spikes
7
Set endings detected automatically
455
Player and map names auto-corrected in captions
Crowd volume (dB), chat surges, captions, and on-screen visuals are layered together to map a broadcast no model can ingest in one pass.
Opening, interviews, matches, sets, and the ceremony are separated automatically, so every clip is tied to the exact set it came from.
Players, maps, winners, and scores are locked in as facts, then highlights are assembled as hook, build-up, and payoff.
An Enterprise representative will contact you by the next business day.