Every shoot starts from what the last one taught you
For production houses, video and podcast studios that run every job with a different crew. We help you run each production the AI-first way, with agents that check the paperwork and draft the call sheet, and Hivemind, our flagship, holding past jobs for every producer and AI tool.
Built for production houses, video and podcast studios
Read by Claude, ChatGPT, Copilot and your agents · within your permissions
Sound familiar
Every job starts from a blank budget
The producer who did the last commercial for this client has left. The day rates, the overtime on day two and the location fee that blew the budget sit in a spreadsheet nobody opens.
The paperwork arrives after the footage
A location release is missing, a talent release is unsigned and the music isn't cleared. You find out at delivery, when the client or the broadcaster sends it back.
Delivery specs change per client
One wants ProRes with burnt-in subtitles, the next a 9:16 cut-down and stems. The spec is in an email from six weeks ago and the editor is a freelancer who started on Monday.
Everyone works from the same company
What changes once Hivemind, our flagship, is the knowledge under every AI tool and agent your team uses.
Budgets from real jobs
Your AI drafts the budget and the treatment from past productions, with the rates, crew and overages you actually had. The producer adjusts instead of starting over.
Freelancers up to speed fast
A new editor or PA asks their AI for the client's style, the delivery spec and the call times, and gets the answer from the production page.
A wrap report that gets used
What went well, what overran and which supplier to avoid lands on the production page, where the next producer and the next budget will find it.
Agents that do the work
Agents like these we build with you. Each has a toolbox: what it may read, what it may change, and what waits for a person.
Paperwork check
Every weekday · 08:00 · from 10 days before each shoot
Paperwork check, every weekday · 08:00 · from 10 days before each shoot: Reads each upcoming shoot, checks that releases, permits, insurance and the risk assessment are in, and posts what is missing to the production channel.
3 allowed · 1 waits for a person
Call sheet draft
Two days before each shoot day
Call sheet draft, two days before each shoot day: Builds the call sheet from the shooting schedule, crew list and location notes, and saves it to the production page for the producer to check and send.
3 allowed · 1 waits for a person · 1 does not exist for this agent
Connects today
- Knowledge base
- Files
- Slack
- Gmail
- Google Drive
Next to what you already use
- Production management such as StudioBinder, Yamdu or Movie Magic
- Review and delivery tools such as Frame.io or Vimeo
- Editing suites such as Premiere Pro, DaVinci Resolve or Avid
- Budgets in spreadsheets, bookkeeping in Exact or Moneybird
A system without a connector yet gets one: we build it as part of Build.
We set it up with you
Implement
We interview your producers and fill in clients, past productions, crew and locations
Automate
Paperwork checks, call sheet drafts and delivery checks for every production
Build
A crew booking tool that reads roles, rates and past jobs from your knowledge base
Learn
Training for producers and coordinators on budgets, treatments and call sheets with AI
Questions
Do the rushes go in?
No. Footage stays on your drives and in your review tool. The knowledge base holds what is around it: the treatment, the budget, the crew, the releases and the lessons. That is what the next production needs to know.
What about personal data of cast and crew?
Keep passport numbers, bank details and medical notes where they are now. The knowledge base holds roles, rates, contacts and who you would book again. That keeps sensitive personal data out, and the AI never needs it.
We work with a different crew every job. Who keeps it current?
The producer, at wrap, with help. An agent drafts the wrap report from the production channel and the production page, and the producer adds what went wrong. A short check per job keeps the knowledge base honest.