Model at the Speed of Markets
The Hook
“(No spoken dialogue — frantic audio soundbites from earnings calls and financial press)”
Problem Agitation
“For investment teams, earnings season means a packed calendar and you've got a whole book of models to update with the right data sources.”
Product Reveal
“Filot's Financial Modeling Copilot learns how you model, and updates each model the way you would. Now we're making that easier to scale across your entire coverage.”
Feature Teaser
“Financial Modeling Autopilot connects to your models and delivers work on your behalf, exactly as you would, completely in the background. As companies report, Filot picks up the new materials and updates each model, ready for your review.”
Feature Teaser
“Deterministic checks confirm everything ties out and flag anything worth a second look. Every updated cell traces back to its source for full transparency and control.”
Feature Teaser
“Time to expand coverage? Filot builds new models the way you would, maintains them, and monitors the metrics you care about across them.”
Call to Action
“The same trust and thoroughness now scaled seamlessly across your entire book of coverage.”
Synthesizable in Remotion · key components of the fintech-autopilot-reveal template.
Multi-item grid where elements cascade in using spring transforms and stagger offsets.
Map items to Remotion Sequence wrappers with spring({ frame: frame - index * 3, config: { damping: 14 } }) controlling translateY and opacity.Simultaneous highlight of a spreadsheet cell and its matched coordinate on an embedded PDF document.
Synchronize a cursor click event with scale animation on the cell border and an absolute-positioned yellow overlay bounding box on the PDF canvas.
Command palette that receives synthetic keypresses, triggers auto-complete, and initiates card deployment.
Use interpolate on frame count to slice string length, with a blinking cursor bar component and state-triggered exit transition.
Purpose. Agitate the manual pain of financial earnings season.
Execution. Rapid cuts of dense 10-K filings.
Purpose. Demonstrate instant efficiency gains of AI copilot.
Execution. Benchmark metric counters showing 90% time drops.
Purpose. Elevate copilot to full autopilot execution.
Execution. Storage node integrations and auto-updating multi-model matrices.
Purpose. Remove AI hallucination fears for financial analysts.
Execution. Traceable PDF source citations and deterministic check flags.
Objective
Launch video for an AI Tax Compliance Engine that audits ERP invoices.How the recipe adapts
Replace earnings models with VAT/Sales tax ledgers and swap 10-K PDFs for vendor invoice scans with matching audit-trace bounding boxes.Scene durations (7 scenes, 74s)
Key Remotion components
Introducing Griffin, the first AI to pass the video Turing test
The most emotive and controllable TTS model

Always-on agents built to handle everything