MicrocosmWorks๋””์ง€ํ„ธ ์ฝ”์Šค๋ชจ์Šค ํ˜์‹  ๋ฐ ์„ค๊ณ„
์†Œ๊ฐœ์—ฐ๋ฝ์ฒ˜
MicrocosmWorks๋””์ง€ํ„ธ ์ฝ”์Šค๋ชจ์Šค๋ฅผ ํ˜์‹ ํ•˜๊ณ  ์„ค๊ณ„ํ•ฉ๋‹ˆ๋‹ค

์ค‘์š”ํ•œ IT ์†”๋ฃจ์…˜์„ ์ œ๊ณตํ•ฉ๋‹ˆ๋‹ค. ๊ธฐ์ˆ , ๋ณด์•ˆ์— ์—ด์ •์ ์ด๋ฉฐ ์‹ ๋ขฐํ•  ์ˆ˜ ์žˆ๋Š” ํ˜์‹ ์ ์ธ IT ์ธํ”„๋ผ๋ฅผ ํ†ตํ•ด ๋น„์ฆˆ๋‹ˆ์Šค ์„ฑ์žฅ์„ ๋•์Šต๋‹ˆ๋‹ค.

[email protected]
+91 7011868196
New Delhi, India

AI ์„ฑ์žฅ ํ—ˆ๋ธŒ

AI ํ—ˆ๋ธŒ์Šคํƒ€ํŠธ์—… ํ˜์‹ ๊ธฐ์—… ๊ฐ€์†๊ธฐ

์†”๋ฃจ์…˜

๋ชจ๋“  ์†”๋ฃจ์…˜์›ฐ๋‹ˆ์Šค ๋ฐ ํ”ผํŠธ๋‹ˆ์Šค ์•ฑAI ๋น„๋””์˜ค ํ”Œ๋žซํผAI ์—์ด์ „ํŠธ ๊ฐœ๋ฐœ

์ž์›

ํ†ต์ฐฐ๋ ฅ์‚ฐ์—… ๊ฐ€์ด๋“œ์‚ฌ์šฉ ์‚ฌ๋ก€ ์ฒญ์‚ฌ์ง„์•„ํ‚คํ…์ฒ˜ ํŒจํ„ด์‚ฌ๋ก€ ์—ฐ๊ตฌ

ํšŒ์‚ฌ

ํšŒ์‚ฌ ์†Œ๊ฐœ์—ฐ๋ฝ์ฒ˜์šฐ๋ฆฌ์˜ ์ž‘์—…

์„œ๋น„์Šค

๋””์ง€ํ„ธ ์ปจ์„คํŒ…ํด๋ผ์šฐ๋“œ ์ธํ”„๋ผSaaS ๊ฐœ๋ฐœAI ๊ฐœ๋ฐœ๋น„๋””์˜ค ๊ธฐ์ˆ 
ERP ๊ฐœ๋ฐœZoho ๋งž์ถคํ™”Odoo ๊ฐœ๋ฐœSalesforce ํ†ตํ•ฉ๋งž์ถคํ˜• CRM ๊ฐœ๋ฐœ
QuickBooks ํ†ตํ•ฉIoT ์†”๋ฃจ์…˜๋ธ”๋ก์ฒด์ธ ๊ฐœ๋ฐœ
์‚ฌ์ด๋ฒ„ ๋ณด์•ˆ ์ปจ์„คํŒ…IT ์ง€์› - L3

ยฉ 2026 MicrocosmWorks. ๋ชจ๋“  ๊ถŒ๋ฆฌ ๋ณด์œ .

๊ฐœ์ธ์ •๋ณด ์ฒ˜๋ฆฌ๋ฐฉ์นจ์„œ๋น„์Šค ์•ฝ๊ด€
์ฒญ์‚ฌ์ง„์œผ๋กœ ๋Œ์•„๊ฐ€๊ธฐ
AI Video & MediaAdvanced10-12์ฃผ

AI ์˜ํ™” ์‚ฌ์ „ ์ œ์ž‘ ๋„์šฐ๋ฏธ

AI ๊ธฐ๋ฐ˜ ์Šคํฌ๋ฆฝํŠธ ๋ถ„์„, ์Šคํ† ๋ฆฌ๋ณด๋“œ, ์ƒท ๋ฆฌ์ŠคํŠธ, ์บ์ŠคํŒ… ํ†ต์ฐฐ๋ ฅ, ์˜ˆ์‚ฐ ์˜ˆ์ธก์„ ํ†ตํ•ด ๋ช‡ ๋‹ฌ ๊ฑธ๋ฆฌ๋˜ ์‚ฌ์ „ ์ œ์ž‘ ๊ณ„ํš์„ ๋ช‡ ์ฃผ๋กœ ๋‹จ์ถ•ํ•˜์„ธ์š”.

June 17, 2026
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3๊ฐœ ์ฃผ์ œ ๋‹ค๋ฃธ
์ด ์†”๋ฃจ์…˜ ๊ตฌ์ถ•ํ•˜๊ธฐ
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AI Video & Media
์นดํ…Œ๊ณ ๋ฆฌ
Advanced
๋ณต์žก๋„
10-12์ฃผ
ํƒ€์ž„๋ผ์ธ
์—”ํ„ฐํ…Œ์ธ๋จผํŠธ
์‚ฐ์—…

๋‹น๋ฉด ๊ณผ์ œ

์˜ํ™” ๋ฐ ์—ํ”ผ์†Œ๋“œ ์‚ฌ์ „ ์ œ์ž‘์€ ์ฝ˜ํ…์ธ  ์ œ์ž‘ ๊ณผ์ •์—์„œ ๊ฐ€์žฅ ๋…ธ๋™ ์ง‘์•ฝ์ ์ธ ๋‹จ๊ณ„ ์ค‘ ํ•˜๋‚˜์ž…๋‹ˆ๋‹ค. ๋ผ์ธ ํ”„๋กœ๋“€์„œ๋Š” ์ˆ˜๋™์œผ๋กœ ์Šคํฌ๋ฆฝํŠธ๋ฅผ ๊ผผ๊ผผํžˆ ๊ฒ€ํ† ํ•˜์—ฌ ๋ชจ๋“  ์†Œํ’ˆ, ์žฅ์†Œ, ์บ๋ฆญํ„ฐ ๋ฐ ํŠน์ˆ˜ ํšจ๊ณผ๋ฅผ ์‹๋ณ„ํ•ฉ๋‹ˆ๋‹ค. ์กฐ๊ฐ๋…์€ ๋ช‡ ์ฃผ์— ๊ฑธ์นœ ๋ฐ˜๋ณต์ ์ธ ํšŒ์˜๋ฅผ ํ†ตํ•ด ์ƒท ๋ฆฌ์ŠคํŠธ์™€ ์Šคํ† ๋ฆฌ๋ณด๋“œ๋ฅผ ์ž‘์„ฑํ•ฉ๋‹ˆ๋‹ค. ์บ์ŠคํŒ… ๋””๋ ‰ํ„ฐ๋Š” ํšจ์œจ์ ์ธ ํ•„ํ„ฐ๋ง ์—†์ด ์ˆ˜์ฒœ ์žฅ์˜ ํ—ค๋“œ์ƒท์„ ๊ฒ€ํ† ํ•ฉ๋‹ˆ๋‹ค. ๋กœ์ผ€์ด์…˜ ์Šค์นด์šฐํŠธ๋Š” ์Šคํฌ๋ฆฝํŠธ ์š”๊ตฌ ์‚ฌํ•ญ๊ณผ ์ œ์ž‘ ์˜ˆ์‚ฐ์— ๋งž๋Š” ์‹คํ–‰ ๊ฐ€๋Šฅํ•œ ์žฅ์†Œ๋ฅผ ์ฐพ๊ธฐ ์œ„ํ•ด ๊ด‘๋ฒ”์œ„ํ•˜๊ฒŒ ์ด๋™ํ•ฉ๋‹ˆ๋‹ค. ์˜ˆ์‚ฐ ์ถ”์ •์€ ์Šคํ”„๋ ˆ๋“œ์‹œํŠธ์™€ ๊ณผ๊ฑฐ์˜ ์ง๊ด€์— ์˜์กดํ•˜๋ฉฐ, ์ข…์ข… ๋„ˆ๋ฌด ๋Šฆ๊ฒŒ ๋ฐœ๊ฒฌ๋˜์–ด ์ˆ˜์ •ํ•  ์ˆ˜ ์—†๋Š” ๋น„์šฉ ์ดˆ๊ณผ๋กœ ์ด์–ด์ง‘๋‹ˆ๋‹ค.

์ „์ฒด ๋‹จ๊ณ„๋Š” ์ˆœ์ฐจ์ ์ด๊ณ  ๋А๋ฆฌ๋ฉฐ ์‚ฌ๋žŒ์˜ ์‹ค์ˆ˜์— ์ทจ์•ฝํ•ฉ๋‹ˆ๋‹ค. ํ•˜์ง€๋งŒ ์—ฌ๊ธฐ์—์„œ ๋ฐœ์ƒํ•˜๋Š” ๋ชจ๋“  ์‹ค์ˆ˜๋Š” ๊ฐ’๋น„์‹ผ ์ดฌ์˜ ๋‹น์ผ ๋ฌธ์ œ๋กœ ์ด์–ด์ง‘๋‹ˆ๋‹ค.

๋” ๋งŽ์€ ์ฒญ์‚ฌ์ง„

๋‹ค์Œ ํ”„๋กœ์ ํŠธ๋ฅผ ์œ„ํ•œ ๋” ๋งŽ์€ ๊ตฌํ˜„ ์ฒญ์‚ฌ์ง„์„ ๋ฐœ๊ฒฌํ•˜์„ธ์š”

live-sports-highlight-generator.webp
AI Video & Media

๋ผ์ด๋ธŒ ์Šคํฌ์ธ  ํ•˜์ด๋ผ์ดํŠธ ์ƒ์„ฑ๊ธฐ

๊ฒฝ๊ธฐ ํŒ๋„๋ฅผ ๋ฐ”๊พธ๋Š” ์ˆœ๊ฐ„์„ ๋ฐœ์ƒ ์ฆ‰์‹œ ๋ช‡ ์ดˆ ์•ˆ์— ํŒฌ๋“ค์˜ ํ™”๋ฉด์— ์ „๋‹ฌํ•ฉ๋‹ˆ๋‹ค โ€” AI๊ฐ€ ์‹ค์‹œ๊ฐ„์œผ๋กœ ํ•˜์ด๋ผ์ดํŠธ๋ฅผ ๊ฐ์ง€, ํด๋ฆฝ ์ƒ์„ฑ, ๋ธŒ๋žœ๋”ฉ ๋ฐ ๋ฐฐํฌํ•ฉ๋‹ˆ๋‹ค.

Enterprise12-14์ฃผ
๋ณด๊ธฐ
automated-social-media-video-engine.webp

์ด ์†”๋ฃจ์…˜์„ ๊ตฌํ˜„ํ•˜๊ณ  ์‹ถ์œผ์‹ ๊ฐ€์š”?

์ „๋ฌธ๊ฐ€ ํŒ€์ด ๊ท€ํ•˜์˜ ๋น„์ฆˆ๋‹ˆ์Šค๋ฅผ ์œ„ํ•ด ์ด ์†”๋ฃจ์…˜์„ ๊ตฌ์ถ•ํ•˜๋Š” ๋ฐฉ๋ฒ•์— ๋Œ€ํ•ด ๋ฌธ์˜ํ•˜์„ธ์š”.

์—ฐ๋ฝํ•˜๊ธฐ

์šฐ๋ฆฌ์˜ ์†”๋ฃจ์…˜

MicrocosmWorks๋Š” ์‹œ๋‚˜๋ฆฌ์˜ค๋ฅผ ๋ฐ›์•„ ์ž๋™์œผ๋กœ ํฌ๊ด„์ ์ธ ์Šคํฌ๋ฆฝํŠธ ๋ถ„์„์„ ์ˆ˜ํ–‰ํ•˜๋Š” AI ์˜ํ™” ์‚ฌ์ „ ์ œ์ž‘ ๋„์šฐ๋ฏธ๋ฅผ ์ œ๊ณตํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. โ€” ์žฅ๋ฉด, ์บ๋ฆญํ„ฐ, ์žฅ์†Œ, ์†Œํ’ˆ, ์˜์ƒ, VFX ์ƒท, ์‹œ๊ฐ„๋Œ€ ์š”๊ตฌ ์‚ฌํ•ญ์„ ์‹๋ณ„ํ•ฉ๋‹ˆ๋‹ค. ๋ถ„์„์„ ํ†ตํ•ด ์‹œ์Šคํ…œ์€ ์ƒ์„ฑํ˜• AI๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ์˜ˆ๋น„ ์Šคํ† ๋ฆฌ๋ณด๋“œ๋ฅผ ์ƒ์„ฑํ•˜๊ณ , ์ œ์•ˆ๋œ ์นด๋ฉ”๋ผ ๊ฐ๋„ ๋ฐ ๋ Œ์ฆˆ ์„ ํƒ๊ณผ ํ•จ๊ป˜ ์ƒท ๋ฆฌ์ŠคํŠธ ์ดˆ์•ˆ์„ ์ž‘์„ฑํ•˜๋ฉฐ, ์ œ์ž‘ ๋ฐ์ดํ„ฐ๋ฒ ์ด์Šค ๋ฐ ์ง€์—ญ ๋น„์šฉ ์ง€์ˆ˜๋ฅผ ๊ธฐ๋ฐ˜์œผ๋กœ ์žฅ๋ฉด๋ณ„ ์˜ˆ์‚ฐ ์ถ”์ •์น˜๋ฅผ ์‚ฐ์ถœํ•ฉ๋‹ˆ๋‹ค. ์บ์ŠคํŒ… ๋ชจ๋“ˆ์€ ์บ๋ฆญํ„ฐ ์„ค๋ช…์„ ์ธ์žฌ ๋ฐ์ดํ„ฐ๋ฒ ์ด์Šค์™€ ์ผ์น˜์‹œํ‚ค๊ณ , ๋กœ์ผ€์ด์…˜ ๋ถ„์„์€ ์Šคํฌ๋ฆฝํŠธ ์š”๊ตฌ ์‚ฌํ•ญ์„ ์Šค์นด์šฐํŠธ๋œ ์žฅ์†Œ ์ด๋ฏธ์ง€, ํ—ˆ๊ฐ€ ๋ฐ์ดํ„ฐ ๋ฐ ๋ฌผ๋ฅ˜ ์ œ์•ฝ ์‚ฌํ•ญ๊ณผ ์ƒํ˜ธ ์ฐธ์กฐํ•ฉ๋‹ˆ๋‹ค.

์‹œ์Šคํ…œ ์•„ํ‚คํ…์ฒ˜

์ด ํ”Œ๋žซํผ์€ ์ „๋ฌธํ™”๋œ AI ๋งˆ์ดํฌ๋กœ์„œ๋น„์Šค๋ฅผ ๊ธฐ๋ฐ˜์œผ๋กœ ํ•˜๋Š” ํ˜‘์—… ์›น ์• ํ”Œ๋ฆฌ์ผ€์ด์…˜์œผ๋กœ ๊ตฌ์„ฑ๋ฉ๋‹ˆ๋‹ค. ์Šคํฌ๋ฆฝํŠธ ํŒŒ์„œ๋Š” ๊ตฌ์กฐํ™”๋œ ๋ฐ์ดํ„ฐ๋ฅผ ์Šคํ† ๋ฆฌ๋ณด๋“œ ์ƒ์„ฑ, ์ƒท ๊ณ„ํš, ์บ์ŠคํŒ…, ์žฅ์†Œ ๋ถ„์„, ์˜ˆ์‚ฐ ์ฑ…์ • ๋“ฑ์˜ ๋‹ค์šด์ŠคํŠธ๋ฆผ ๋ชจ๋“ˆ์— ๊ณต๊ธ‰ํ•˜๋ฉฐ, ๊ฐ ๋ชจ๋“ˆ์€ ๋…๋ฆฝ์ ์œผ๋กœ ์ž‘๋™ํ•˜์ง€๋งŒ ํ†ตํ•ฉ๋œ ํ”„๋กœ์ ํŠธ ๋ฐ์ดํ„ฐ ๋ชจ๋ธ์„ ๊ณต์œ ํ•ฉ๋‹ˆ๋‹ค. ํ˜‘์—… ๊ธฐ๋Šฅ์„ ํ†ตํ•ด ๊ฐ๋…, ํ”„๋กœ๋“€์„œ, ๋ถ€์„œ์žฅ์€ AI ์ œ์•ˆ์„ ์‹ค์‹œ๊ฐ„์œผ๋กœ ์ฃผ์„์„ ๋‹ฌ๊ณ , ์žฌ์ •์˜ํ•˜๋ฉฐ, ์Šน์ธํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

์ฃผ์š” ๊ตฌ์„ฑ ์š”์†Œ
  • ์Šคํฌ๋ฆฝํŠธ ํŒŒ์„œ ๋ฐ ๋ถ„์„ ์—”์ง„: NLP ๊ธฐ๋ฐ˜ ๋ถ„์„์œผ๋กœ ์‹œ๋‚˜๋ฆฌ์˜ค PDF ๋˜๋Š” Final Draft ํŒŒ์ผ์—์„œ ๋ชจ๋“  ์ œ์ž‘ ์š”์†Œ๋ฅผ ์ถ”์ถœํ•˜๋ฉฐ, ๋ถ€์„œ๋ณ„๋กœ ๋ถ„๋ฅ˜๋ฉ๋‹ˆ๋‹ค (๋ฏธ์ˆ , ์˜์ƒ, ์†Œํ’ˆ, VFX, ์Šคํ„ดํŠธ)
  • ์Šคํ† ๋ฆฌ๋ณด๋“œ ์ƒ์„ฑ๊ธฐ: ์žฅ๋ฉด ์„ค๋ช…์œผ๋กœ๋ถ€ํ„ฐ ์ƒ์„ฑํ˜• ์ด๋ฏธ์ง€ ๋ชจ๋ธ์„ ์‚ฌ์šฉํ•˜์—ฌ ํ”„๋ ˆ์ž„๋ณ„ ๋น„์ฃผ์–ผ ์Šคํ† ๋ฆฌ๋ณด๋“œ๋ฅผ ์ƒ์„ฑํ•˜๋ฉฐ, ์•„ํŠธ ์Šคํƒ€์ผ ์ปค์Šคํ„ฐ๋งˆ์ด์ง• ๋ฐ ๋ฐ˜๋ณต์  ์ •์ œ ์ œ์–ด ๊ธฐ๋Šฅ์„ ์ œ๊ณตํ•ฉ๋‹ˆ๋‹ค.
  • ์ƒท ๋ฆฌ์ŠคํŠธ ๋ฐ ์Šค์ผ€์ค„๋ง ๋ชจ๋“ˆ: ์นด๋ฉ”๋ผ ์‚ฌ์–‘ ๋ฐ ์ดˆ์  ๊ฑฐ๋ฆฌ๊ฐ€ ํฌํ•จ๋œ ์ƒ์„ธ ์ƒท ๋ฆฌ์ŠคํŠธ๋ฅผ ์ƒ์„ฑํ•˜๊ณ , ๋ฐฐ์šฐ ๊ฐ€์šฉ์„ฑ, ์žฅ์†Œ, ์ผ๊ด‘์„ ๊ณ ๋ คํ•˜์—ฌ ์ตœ์ ํ™”๋œ ์ดฌ์˜ ์ผ์ •์„ ์ƒ์„ฑํ•ฉ๋‹ˆ๋‹ค.
  • ์บ์ŠคํŒ… ์ธํ…”๋ฆฌ์ „์Šค: ์บ๋ฆญํ„ฐ ํ”„๋กœํ•„์„ ์ธ์žฌ ๋ฐ์ดํ„ฐ๋ฒ ์ด์Šค์™€ ๋งค์นญํ•˜๊ณ , ์ฐธ๊ณ ์šฉ์œผ๋กœ ๋‹ฎ์€ ๋ฐฐ์šฐ๋ฅผ ์ œ์•ˆํ•˜๋ฉฐ, ๊ฐ€์šฉ์„ฑ, ์ผ๋‹น, ๊ณผ๊ฑฐ ์žฅ๋ฅด ๊ฒฝํ—˜์— ๋”ฐ๋ผ ํ›„๋ณด๋ฅผ ์ˆœ์œ„ํ™”ํ•ฉ๋‹ˆ๋‹ค.
  • ์žฅ์†Œ ๋ฐ ์˜ˆ์‚ฐ ๋ถ„์„๊ธฐ: ์œ„์„ฑ ์ด๋ฏธ์ง€ ๋ฐ ํ—ˆ๊ฐ€ ๋ฐ์ดํ„ฐ๋ฒ ์ด์Šค๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ์Šคํฌ๋ฆฝํŠธ ์š”๊ตฌ ์‚ฌํ•ญ์— ๋”ฐ๋ผ ์ž ์žฌ์  ์žฅ์†Œ์˜ ์ ์ˆ˜๋ฅผ ๋งค๊ธฐ๊ณ , ์นดํ…Œ๊ณ ๋ฆฌ๋ณ„ ์‹ ๋ขฐ ๋ฒ”์œ„์™€ ํ•จ๊ป˜ ํ•ญ๋ชฉ๋ณ„ ์˜ˆ์‚ฐ ์ถ”์ •์น˜๋ฅผ ์ƒ์„ฑํ•ฉ๋‹ˆ๋‹ค.

๊ธฐ์ˆ  ์Šคํƒ

๊ณ„์ธต๊ธฐ์ˆ 
๋ฐฑ์—”๋“œPython, Django REST Framework, Celery, Redis
AI / MLOpenAI GPT-4o, DALL-E 3, Stable Diffusion XL, spaCy, LangChain, scikit-learn
ํ”„๋ŸฐํŠธ์—”๋“œReact, Next.js, Fabric.js (์Šคํ† ๋ฆฌ๋ณด๋“œ ์บ”๋ฒ„์Šค), Tailwind CSS
๋ฐ์ดํ„ฐ๋ฒ ์ด์ŠคPostgreSQL, Pinecone (์บ์ŠคํŒ…์„ ์œ„ํ•œ ๋ฒกํ„ฐ ๊ฒ€์ƒ‰), S3 (์ž์‚ฐ ์ €์žฅ์†Œ)
์ธํ”„๋ผAWS ECS, Lambda, CloudFront, Terraform, GitHub Actions

๊ตฌํ˜„ ์ ‘๊ทผ ๋ฐฉ์‹

๋นŒ๋“œ๋Š” 5๊ฐ€์ง€ ํ•ต์‹ฌ ๋ชจ๋“ˆ์„ ์ค‘์‹ฌ์œผ๋กœ ๊ตฌ์„ฑ๋˜๋ฉฐ, ๊ธฐ์ดˆ ์Šคํฌ๋ฆฝํŠธ ๋ถ„์„์ด ๋จผ์ € ์ œ๊ณต๋ฉ๋‹ˆ๋‹ค.

1. 1-3์ฃผ ์ฐจ โ€” ์Šคํฌ๋ฆฝํŠธ ๋ถ„์„ ํ•ต์‹ฌ: PDF, Final Draft, ๊ทธ๋ฆฌ๊ณ 

Fountain ํ˜•์‹์„ ์ง€์›ํ•˜๋Š” ์‹œ๋‚˜๋ฆฌ์˜ค ํŒŒ์„œ๋ฅผ ๊ตฌ์ถ•ํ•˜๊ณ , ๋ถ€์„œ๋ณ„ ์š”์†Œ ์ถ”์ถœ ๊ธฐ๋Šฅ์„ ๊ฐ–์ถ˜ NLP ๋ถ„์„ ์—”์ง„์„ ๊ฐœ๋ฐœํ•ฉ๋‹ˆ๋‹ค.

2. 4-6์ฃผ ์ฐจ โ€” ์‹œ๊ฐ์  ์ƒ์„ฑ: ์Šคํƒ€์ผ ์ œ์–ด ๊ธฐ๋Šฅ์„ ๊ฐ–์ถ˜ ์Šคํ† ๋ฆฌ๋ณด๋“œ ์ƒ์„ฑ, ์ƒท ๋ฆฌ์ŠคํŠธ

์ƒ์„ฑ (์นด๋ฉ”๋ผ ๋ฐ ๋ Œ์ฆˆ ์ œ์•ˆ ํฌํ•จ), ๊ทธ๋ฆฌ๊ณ  ํ˜‘์—… ๊ฒ€ํ†  ์บ”๋ฒ„์Šค๋ฅผ ๊ตฌํ˜„ํ•ฉ๋‹ˆ๋‹ค.

3. 7-9์ฃผ ์ฐจ โ€” ์บ์ŠคํŒ… ๋ฐ ์žฅ์†Œ: ์ธ์žฌ ๋ฐ์ดํ„ฐ๋ฒ ์ด์Šค ์ปค๋„ฅํ„ฐ๋ฅผ ํ†ตํ•ฉํ•˜๊ณ , ์บ๋ฆญํ„ฐ-๋ฐฐ์šฐ

๋งค์นญ ํŒŒ์ดํ”„๋ผ์ธ์„ ๊ตฌ์ถ•ํ•˜๋ฉฐ, ์ง€๋„ ๊ธฐ๋ฐ˜ ๊ฒ€์ƒ‰ ๋ฐ ํ—ˆ๊ฐ€ ์กฐํšŒ ๊ธฐ๋Šฅ์„ ๊ฐ–์ถ˜ ์žฅ์†Œ ํ‰๊ฐ€ ๊ธฐ๋Šฅ์„ ๊ฐœ๋ฐœํ•ฉ๋‹ˆ๋‹ค.

4. 10-12์ฃผ ์ฐจ โ€” ์˜ˆ์‚ฐ ์ฑ…์ • ๋ฐ ํ†ตํ•ฉ: ์ง€์—ญ๋ณ„ ์š”์œจ ๋ฐ์ดํ„ฐ๋ฒ ์ด์Šค๋ฅผ ํฌํ•จํ•œ ๋น„์šฉ ์ถ”์ • ์—”์ง„์„ ๊ตฌ์ถ•ํ•˜๊ณ ,

๋ชจ๋“  ๋ชจ๋“ˆ์„ ํ†ตํ•ฉ ํ”„๋กœ์ ํŠธ ๋Œ€์‹œ๋ณด๋“œ์— ์—ฐ๊ฒฐํ•˜๋ฉฐ, ๋‚ด๋ณด๋‚ด๊ธฐ ๋ฐ ๊ณต์œ  ๊ธฐ๋Šฅ์„ ๊ตฌํ˜„ํ•ฉ๋‹ˆ๋‹ค.

์˜ˆ์ƒ๋˜๋Š” ์˜ํ–ฅ

์ง€ํ‘œ๊ฐœ์„ ์„ธ๋ถ€ ์‚ฌํ•ญ
์Šคํฌ๋ฆฝํŠธ ๋ถ„์„ ์‹œ๊ฐ„90% ๋‹จ์ถ•AI๊ฐ€ ์ˆ˜๋™์œผ๋กœ 1-2์ฃผ ๊ฑธ๋ฆฌ๋˜ ์ž‘์—…์„ ๋ช‡ ๋ถ„ ์•ˆ์— ์™„๋ฃŒํ•ฉ๋‹ˆ๋‹ค.
์Šคํ† ๋ฆฌ๋ณด๋“œ ์ƒ์„ฑ80% ๋นจ๋ผ์ง์ƒ์„ฑํ˜• ์Šคํ† ๋ฆฌ๋ณด๋“œ๊ฐ€ ๋ฉฐ์น ์ด ์•„๋‹Œ ๋ช‡ ์‹œ๊ฐ„ ์•ˆ์— ์ œ์ž‘๋ฉ๋‹ˆ๋‹ค. ์•„ํ‹ฐ์ŠคํŠธ๋Š” ์ฒ˜์Œ๋ถ€ํ„ฐ ์‹œ์ž‘ํ•˜๋Š” ๋Œ€์‹  ๋‹ค๋“ฌ๋Š” ์ž‘์—…์„ ํ•ฉ๋‹ˆ๋‹ค.
์˜ˆ์‚ฐ ์ถ”์ • ์ •ํ™•๋„30% ํ–ฅ์ƒ๋ฐ์ดํ„ฐ ๊ธฐ๋ฐ˜ ๋น„์šฉ ๋ชจ๋ธ๋ง์€ ๊ณผ์†Œํ‰๊ฐ€๋œ ํ•ญ๋ชฉ์„ ์กฐ๊ธฐ์— ํŒŒ์•…ํ•˜์—ฌ ์ดˆ๊ณผ ๋น„์šฉ์„ ์ค„์ž…๋‹ˆ๋‹ค.
์บ์ŠคํŒ… ํ›„๋ณด ๋ชฉ๋ก ์ž‘์„ฑ ์‹œ๊ฐ„75% ๋นจ๋ผ์งAI๊ฐ€ ์ธ์žฌ ๋ฐ์ดํ„ฐ๋ฒ ์ด์Šค๋ฅผ ์‚ฌ์ „ ํ•„ํ„ฐ๋งํ•˜์—ฌ, ์ˆ˜๋™ ๊ฒ€ํ† ์— ๋ฉฐ์น  ๊ฑธ๋ฆฌ๋˜ ์ž‘์—…์„ ๋ช‡ ๋ถ„ ์•ˆ์— ์ˆœ์œ„๊ฐ€ ๋งค๊ฒจ์ง„ ํ›„๋ณด๋ฅผ ์ œ์‹œํ•ฉ๋‹ˆ๋‹ค.
์‚ฌ์ „ ์ œ์ž‘ ๊ธฐ๊ฐ„40% ๋‹จ์ถ•๋ถ„์„, ์Šคํ† ๋ฆฌ๋ณด๋“œ, ์˜ˆ์‚ฐ์˜ ๋ณ‘๋ ฌ AI ์ฒ˜๋ฆฌ๊ฐ€ ์ „์ฒด ๊ณ„ํš ์ผ์ •์„ ๋‹จ์ถ•์‹œํ‚ต๋‹ˆ๋‹ค.

๊ด€๋ จ ์„œ๋น„์Šค

  • ๋ฏธ๋””์–ด ์„œ๋น„์Šค โ€” ์ œ์ž‘ ์ž์‚ฐ ๊ด€๋ฆฌ ๋ฐ ์‹œ๊ฐ ์ฝ˜ํ…์ธ  ํŒŒ์ดํ”„๋ผ์ธ ๋„๊ตฌ
  • AI ๊ฐœ๋ฐœ โ€” LLM ํ†ตํ•ฉ, ์ƒ์„ฑํ˜• ์ด๋ฏธ์ง€ ๋ชจ๋ธ, NLP ํŒŒ์ดํ”„๋ผ์ธ ์—”์ง€๋‹ˆ์–ด๋ง
  • ๋””์ง€ํ„ธ ์ปจ์„คํŒ… โ€” ์ œ์ž‘ ์›Œํฌํ”Œ๋กœ์šฐ ๋ถ„์„ ๋ฐ ๊ธฐ์ˆ  ๋„์ž… ์ „๋žต

๊ด€๋ จ ์‚ฌ์šฉ ์‚ฌ๋ก€

  • AI ์˜์ƒ ์ฝ˜ํ…์ธ  ํŒŒ์ดํ”„๋ผ์ธ
  • ๋ผ์ด๋ธŒ ์Šคํฌ์ธ  ํ•˜์ด๋ผ์ดํŠธ ์ƒ์„ฑ๊ธฐ
  • AI ๊ธฐ๋ฐ˜ ์˜์ƒ ๊ฐ•์ขŒ ํ”Œ๋žซํผ
๊ธฐ์ˆ  ๋ฐ ์ฃผ์ œ
Media ServicesAI DevelopmentDigital Consulting
AI Video & Media

์ž๋™ํ™”๋œ ์†Œ์…œ ๋ฏธ๋””์–ด ๋น„๋””์˜ค ์—”์ง„

ํ…์ŠคํŠธ ํ”„๋กฌํ”„ํŠธ์™€ ๊ธด ํ˜•์‹์˜ ์ฝ˜ํ…์ธ ๋ฅผ ์ž๋™์œผ๋กœ ๋ชจ๋“  ํ”Œ๋žซํผ์— ๋งž์ถฐ ํฌ๋งท, ์ž๋ง‰ ์ฒ˜๋ฆฌ, ๊ฒŒ์‹œ๋˜๋Š” ์‹œ์„ ์„ ์‚ฌ๋กœ์žก๋Š” ์งง์€ ํ˜•์‹์˜ ๋™์˜์ƒ์œผ๋กœ ๋ณ€ํ™˜ํ•ฉ๋‹ˆ๋‹ค.

Standard6-8์ฃผ
๋ณด๊ธฐ
ai-video-commerce-platform.webp
AI Video & Media

AI ๋น„๋””์˜ค ์ปค๋จธ์Šค ํ”Œ๋žซํผ

๋ชจ๋“  ๋น„๋””์˜ค๋ฅผ ์ƒ์ ์œผ๋กœ ์ „ํ™˜ํ•˜์„ธ์š” โ€” ๊ตฌ๋งค ๊ฐ€๋Šฅํ•œ ๋ผ์ด๋ธŒ ์ŠคํŠธ๋ฆผ, AI ์ œํ’ˆ ํƒœ๊น…, ๊ฐ€์ƒ ์ฒดํ—˜, ๊ทธ๋ฆฌ๊ณ  ์‹œ์ฒญ์ž๋ฅผ ๊ตฌ๋งค์ž๋กœ ์ „ํ™˜์‹œํ‚ค๋Š” ์›ํ™œํ•œ ์ธํ”Œ๋ ˆ์ด์–ด ๊ฒฐ์ œ ๊ธฐ๋Šฅ.

Advanced10-12์ฃผ
๋ณด๊ธฐ

์ž์ฃผ ๋ฌป๋Š” ์งˆ๋ฌธ

MicrocosmWorks builds AI assistants that parse screenplay PDFs or Final Draft files to automatically extract every scene's cast members, locations, props, special effects, time of day, and estimated duration, then generate a production stripboard organized by location clustering and cast availability to minimize shooting days. The system identifies scheduling conflicts, weather-dependent scenes, and child actor hour restrictions, proposing optimized shooting orders that reduce company moves and overtime. What typically takes a line producer 2-3 weeks of manual breakdown is completed in hours with AI-generated first drafts.

MicrocosmWorks deploys AI image generation models fine-tuned on cinematic composition to produce storyboard frames from scene descriptions, including character blocking, camera angles, and lighting mood that match the screenplay's narrative tone. Directors can iterate on frames using natural language direction like 'make this a low-angle shot' or 'add rain to the exterior,' rapidly exploring visual approaches before committing to physical production resources. The AI-generated storyboards serve as effective communication tools for pre-production meetings at a fraction of the cost of traditional storyboard artists.

MicrocosmWorks trains budget estimation models on historical production cost databases, union rate cards (SAG-AFTRA, IATSE, DGA), and location-specific crew rates to generate detailed budget estimates broken down by department, accounting for factors like the number of speaking roles, VFX shot complexity, night shooting premiums, and distant location logistics. The system produces budget comparisons across different production strategies โ€” for example, comparing practical effects versus CGI, or local versus distant location shooting โ€” so producers can make informed trade-offs. Budget estimates are generated in industry-standard formats compatible with Movie Magic Budgeting and Hot Budget.

MicrocosmWorks implements risk analysis modules that flag scenes requiring stunts, pyrotechnics, animals, minors, nudity riders, licensed music, brand appearances needing clearance, and VFX shots that exceed budget norms, generating a risk register with mitigation recommendations for each item. The system also identifies dialogue that references real people, brands, or events that may require legal review, and flags scenes set in jurisdictions with restrictive filming permit requirements. This early risk identification prevents costly surprises during production at development rates of $15-$35/hr for the pre-production assistant setup.

MicrocosmWorks builds casting assistant features that extract detailed character profiles from the screenplay โ€” including age range, physical descriptions, accent requirements, and character arc complexity โ€” then match these against talent databases and agency rosters. The AI considers factors like schedule availability, rate compatibility with the production budget, chemistry with already-cast roles, and the actor's genre track record. The system generates shortlists with side-by-side comparisons and can even predict audience reception by analyzing social media following and recent project reception for each candidate.