AI that understands how a production actually runs.
Media and entertainment work is creative, dependent and constantly changing. Generic AI tools sit outside that work. Recapi builds the domain understanding AI needs to operate inside it, from screenplay to schedule to delivery.
WHERE RECAPI CAN HELP
Six areas of work where Recapi has already closed the gap.
Each is a working discipline with its own vocabulary and dependencies. These are the ones where we built the understanding and watched the work change.
01 · FILM & PRODUCTION
Recapi read the screenplay and derived the production from it
Scenes, cast, locations and requirements were taken straight off the page and held as one connected model, so schedule, cast, budget and departments stayed in agreement every time a decision changed.
02 · DEVELOPMENT & PREP
The reasoning behind a draft stopped getting lost
Notes, coverage and rewrites were kept as one thread, so the plan carried why each creative decision was made.
03 · PRODUCTION OPERATIONS
A reslot stopped costing a morning of phone calls
Move a block and the call sheet, units and dependencies were rewritten with it.
04 · POST & CREATIVE PIPELINE
Practical, AI and VFX planned as one pipeline
Three approaches, one reference and one shared understanding of the intent behind the shot.
05 · TALENT & WORKFORCE
Availability became fit, not just a free slot
Crew and cast decisions weighed history, constraints and clearance together.
06 · CONTENT, ASSETS & DISTRIBUTION
A library that answers questions instead of listing filenames
Footage, stills and cuts were indexed by what is actually in them and by the rights attached, so deliverables, windows and territory specs could be checked against what exists rather than against a spreadsheet.
HOW WE WORK WITH YOUR BUSINESS
We start with your workflow, not with our product.
We sit inside the work, with the producers, ADs, editors and coordinators who hold the knowledge nobody wrote down. Only then do we decide what intelligence is worth building.
Nothing gets built until we can explain how your work actually happens.
01
Understand how it works
Sit with the work as it happens, not as the org chart describes it.
02
Find where intelligence is missing
Name the decisions that depend on knowledge no system holds.
03
Build the understanding
Turn scripts, systems and expertise into structure AI can reason over.
04
Deploy into the workflow
Into the tools the crew already opens, not a portal beside them.
05
Keep improving it
Every production teaches it something the last one didn't.
WHAT AI CAN ACTUALLY TAKE ON
Four things that only work once it understands the domain.
Read a screenplay and derive the production
Scenes, characters, locations, props and wardrobe extracted as structured requirements, not a breakdown someone retypes from the page.
Hold continuity across the whole schedule
Wardrobe, props and time-of-day tracked scene to scene, so a contradiction surfaces while it is still cheap to fix.
Surface risk before the day arrives
The scenes, dependencies and constraints that historically cost money are raised against the shoot ahead, not reported after it.
Push one change through everything downstream
Move a scene and the call sheet, units, holds, departments and cost update with it, instead of drifting apart quietly.
WHAT WE'VE ALREADY BUILT
This is already running on real productions.
We went deep into one of the hardest workflows in the industry, filmmaking, and built intelligence that reads a screenplay, derives what a production needs from it, and keeps schedules, departments and budgets in agreement as decisions change.
It is not a demo and not a template. It is what happens when Recapi learns a domain properly.
Screenplay-first
The script is the source of truth, not a document beside the plan.
Fully connected
One change propagates to every dependency that cares about it.
PRODUCT GLIMPSES
Six places the understanding shows up.
Screens from the system in production. Data shown is illustrative.
ONE WORKFLOW IS JUST THE BEGINNING
Filmmaking is one domain we went deep into. It is not the boundary.
The same approach applies wherever the work is dependent, judgement-heavy and undocumented. These are the next places it fits.
PRODUCTION
Already built
Screenplay to schedule to floor, running on live productions today.
CREATIVE
Intent that survives the pipeline
Development, references and reviews holding one continuous line of reasoning.
CONTENT
Archives that answer questions
Libraries searchable by content, rights and reuse rather than filename.
TALENT
Fit, not just availability
Crew and cast decisions that account for history, constraints and clearance.
OPERATIONS
The business behind the slate
Cost, approvals and vendor work tied to what is actually happening on set.
DISTRIBUTION
Obligations that track themselves
Deliverables, windows and territory specs kept against what exists.
What we built here is one example of what becomes possible when Recapi enters a complex domain and learns how the work actually happens.