We build private, auditable workflows that review call sheets, track rights, organize metadata, surface compliance issues, and keep unreleased content out of public AI tools.
Rights details live in emails, contracts, spreadsheets, and one coordinator's memory.
Rule, meal, and turnaround checks take time and become expensive when something is missed.
Sensitive IP, contracts, footage, and production records need controlled processing.
Flags potential rule, meal, or turnaround issues so fewer expensive misses reach production.
Pulls key terms from contracts and licenses so clearance work becomes easier to manage.
Tags and organizes production assets so teams can search, reuse, and govern them more easily.
Private workflows can run inside your AWS or GCP environment. Studio policies, rights history, clearance decisions, production records, and sensitive IP stay under your control.
Avoid billing surprises with clear workflow-based packages. We do not penalize you for using more AI like other vendors.
You own the workflow and operating logic. As competitors adopt generic AI, your rights history, clearance judgment, and production knowledge become a private advantage they cannot copy.
We identify the repetitive document, email, approval, and software-handoff work costing the most time.
We map what can use public AI, what should stay private, and where approvals or client-controlled deployment are needed.
A practical first-workflow plan with proof, approvals, write-backs, audit logs, and ROI tracking.
Founder, Performance AI Lab | Former Meta SuperIntelligence Lab
With 25 years in software engineering and enterprise infrastructure, I've built systems for some of the world's most demanding environments. I founded Performance AI Lab to bring private, auditable AI workflows that reduce manual work and preserve operating know-how to mid-market operators.
If your team is buried in documents, emails, approvals, spreadsheets, or software handoffs, we can help identify the first workflow worth automating.
Private AI workflows for the work that falls between your documents, apps, approvals, and operating knowledge.