Waitlist Reserved

You've been added to private alpha pool.

Ø
Omnivo v0.9-alpha
Built for Anthropic Long-Context Models (200k+ Tokens)

Turn 200,000-Word Archives Into Cinematic Video Essays

Omnivo is the autonomous multi-agent pipeline for investigative creators and digital media studios. Synthesize raw source corpora, engineer retention arcs, and generate frame-accurate B-roll directions.

30+ Hours
Research Saved / Video
Zero Fluff
Fact-Checked Synthesis
Ready-to-Shoot
Full Script + B-Roll Prompts
1-Click Export
Formatted for Editors

Workspace Anatomy

Inspect the Agentic Execution Engine

project: The_Semiconductor_Siege_v3.omnv
Ingested Raw Corpora (174,210 Tokens)
PDF
TSMC_Lithography_Patents_1998-2024.pdf
84,300 tokens • Primary Source
Indexed
TXT
Lex_Fridman_Interview_ASML_CEO_transcript.txt
58,110 tokens • Acoustic Timestamped
Indexed
SEC
NVIDIA_10K_Capex_Breakdown.md
31,800 tokens • Financial Data
Indexed
+ Ingest additional research PDFs / transcripts
AGENT LOGS: Synthesis & Contradiction Resolver Active

[02:11:04] Ingestion Engine: Context Window parsed 174,210 tokens across 3 heterogeneous media files without compression.

[02:11:08] Contradiction Found: SEC filing notes mirror supplier delivery dates delayed by 14 months, while CEO podcast interview claimed zero bottleneck in 2022.

[02:11:11] Narrative Climax Flag: Marked incongruence as the Act 3 Tension Pivot (Retains viewer focus at timestamp 18:30).

> Generating 5 structural thesis options according to documentary retention curve...

Model: claude-3-5-sonnet (Long-Context Verification Active) Target Video Duration: 24m 30s

Engine Architecture

Engineered for Documentary Rigor

Standard chatbots give generic summaries. Omnivo acts as a collaborative reasoning team trained on high-retention video storytelling.

01

Deep Ingestion (200k+ Context)

Feed raw declassified PDFs, 3-hour podcast transcripts, and research papers without truncation. Omnivo isolates factual contradictions and primary-source nuggets.

Powered by Claude Long-Context
02

Retention Curve Engineering

Calculates spoken cadence, hook duration, and cognitive payoff points based on top-performing documentary channels to eliminate drop-off valleys.

Pacing & Drop-Off Prevention
03

Deterministic Tool Triggers

Outputs dual-track AV scripts with machine-readable visual prompts ready for direct API consumption by generative video and image tools.

Automated Visual Asset Prompts
Interactive Sample

Live Retention & Cadence Evaluator

Cadence Engine: 152 WPM Target
Real-Time Metric Assessment
30
Words
12.0s
Est. Voiceover
98%
Retention Score

STATUS: OPTIMAL — Hook contains an opening time anchor, a stakes statement, and a curiosity gap under 15 seconds.

Evaluated against 1,200+ top-tier video essays.

Technical Questions

Frequently Asked Questions

Why not just write scripts with standard ChatGPT or Claude web prompts?

Standard chat interfaces lose long-term plot consistency, hallucinate timeline sequences when summarizing 200+ pages, and output conversational fluff. Omnivo is built around multi-agent verification loops, retention pacing formulas, and structured dual-column AV exports.

How are source citations verified across 100k+ words?

Every narration beat links to exact paragraph anchors in your uploaded files. If a fact cannot be traced to the ingested corpus, the script flags it with an alert before production begins.

What format are video and audio prompts exported in?

Exports are provided in structured Markdown tables, standard Final Cut Pro / Premiere XML markers, and strict JSON schemas compatible with automated generative pipelines.