Turning 80-page legal contracts into live revenue intelligence.
One platform. Two modules. A single intelligence loop that reads every contract, grounds it against your catalog, and surfaces exactly which titles you can license — today, next quarter, and twelve months out.
Module 1 — Contract Intelligence
Module 2 — Metadata Intelligence
CLIP Core™ · Insights™ · Forecast™
The Opportunity
Revenue is hiding inside contracts no one can read fast enough.
Every licensing deal locks up eligibility rules, window formulas and territory rights inside dense legal paragraphs. Today those rules are re-read by hand — slowly, inconsistently, at great cost. CLIP™ makes them executable.
⚠️
Today — Without CLIP™
Manual · 2–3 weeks · Error-prone · Every quarter
Planners manually read 80–100 page legal agreements every quarter
Eligibility rules buried in nested clause sub-sections
Title matching done via spreadsheets — titles slip through
Rights confirmed across 6 dimensions: title × territory × language × media type × license × window
Fee calculations with tiered rate cards, MGs, and escalators
Near-miss titles explored ad-hoc — no systematic tooling
Amendment layers cause silent version drift
15% revenue leakage from missed opportunities
✨
Tomorrow — With CLIP™
AI + Human · Minutes · Auditable · Continuous
Engine 1 extracts every rule in minutes (OCR + Agentic RAG + LLM cluster)
Engine 2 evaluates 12K titles × all categories × all terms in <2 seconds
Fees, commissions, MGs calculated per term year automatically
Make-It-Eligible playbook — systematic near-miss detection with ranked levers
Amendment layers version-controlled; re-evaluation is automatic
Revenue pushed to ERP/Salesforce — no lag between eligibility and booking
Full audit trail — every rule decision explainable
The Moat·What makes CLIP™ impossible to replicate with a single LLM
Why CLIP™ Wins
Two agentic engines. One intelligence loop.
CLIP™ is not one model wired to a PDF. It is two purpose-built agentic-RAG engines working in a closed loop: Engine 1 reads the contract, Engine 2 reads the catalog — and tells you how to create revenue, not just discover it.
Contract rules are fixed. Your catalog is growing. CLIP turns that gap into a forward-looking, multi-year revenue playbook — title by title, term year by term year.
2
Agentic RAG engines in a loop
N × M
Rules × titles × term years
0
Revenue opportunities left hidden
The two engines at a glance
60-second view
Engine 1
Contract Rule Extraction
Agentic RAG · specialist LLM cluster
📄→🤖→🧬→🎯
Contract → Agent → Specialists → Rules in product categories
Input: growing (new titles, cast, theatrical every week)
🔬Go deeperInside both engines — agentic RAG architecture, specialist LLMs, pattern analyzer & the Make-It-Eligible playbookExpandCollapse›
Engine 1
Contract Rule Extraction Engine
Agentic RAG + cluster of specialist LLMs — turns 80–150 page contracts into structured rules grouped by product category.
📚
Rules span the entire term
A window in Year 3 depends on a cap exhausted in Year 1 and a rate card amended in Year 5. The agent plans retrieval across years and reconciles them.
🤖
Agentic RAG — not a prompt
Planner → Retriever → Reader → Verifier loop. Re-reads pages, verifies every rule against the catalog, escalates edge cases. One-shot LLMs fail at clause ~40.
🧬
LLM cluster by segment
Specialists for Qualifier, Start Date, Caps, Rate Card, Amendment run in parallel. Segment router places every rule in the correct product category — the bucket planners sell from.
🎯
Thinks like a planner
Hunts footnotes, territory carve-outs in images, "notwithstanding" clauses three amendments deep. Multi-modal across text, tables and images.
Engine 1 · architecture
Planner → Retriever → Reader → Verifier, then a specialist cluster
The agent plans, retrieves, reads (multi-modal), and verifies. Five specialist LLMs extract in parallel. A segment router places every rule inside the correct product category.
Agent
Planner
Decides the next clause / segment / term year to extract
→
RAG
Retriever
Vector + symbolic search across pages, tables & images
→
Multi-modal
Reader
Parses text, tables and embedded images / schedules
→
Grounded
Verifier
Checks every rule against Engine 2's catalog reference list
The closed loop. Engine 1's structured rules feed Engine 2's aggregator. Engine 2's live catalog reference list grounds Engine 1's extraction — no hallucinated attributes, no invented fields. As the catalog grows, both engines get smarter.
Engine 2
Catalog Aggregator & Insights Engine
Agentic RAG + pattern analyzer + eligibility reasoner — applies Engine 1's rules to every title, predicts what's eligible, and tells you how to make more of your catalog sellable.
🗂️
Aggregates rules × catalog at scale
Every active contract × product category × term year × every title in the catalog. The agent plans the evaluation — not a brute-force cross-join.
🔍
Pattern analyzer, not a filter
Clusters near-miss titles; spots recurring disqualifiers ("12% of your catalog fails only on US theatrical screens"); surfaces systemic revenue gaps invisible to any BI tool.
💡
"Make-It-Eligible" playbook
For each near-miss title, concrete ranked levers: boost theatrical to 300+ screens, attach a tier-A cast member, shift release date by 6 weeks. A revenue-strategy assistant, not a report.
📈
Multi-term-year visuals
Year 1 / Year 2 / Year N dashboards showing how eligibility evolves as release dates, amendments and catalog changes flow through the rules. Planners see the curve, not just today's number.
A different flavour of agentic RAG — not extracting rules, but reasoning across the entire rule × catalog × time cube to find revenue and prescribe how to unlock it.
Agent
Aggregator
Joins every active rule with every title, per term year
Every new title, every theatrical result, every cast attachment instantly re-runs against every live contract. CLIP gets smarter as the catalog grows — and so does the revenue it surfaces.
New theatrical release → eligibility re-scored in seconds
Cast attachment → re-qualifies for premium buckets
Release-date shift → new windows open across deals
Amendment signed → only affected rules re-propagate
Future-title forecast → 12 months of pipeline visibility
Near-miss titles → ranked levers to tip them eligible
Pattern alerts → "12% of catalog fails only on screen count"
Multi-year view → revenue curve, not a snapshot
Platform Architecture
Two Agentic Engines. One Intelligence Loop.
Engine 1 — Contract Rule Extraction turns legalese into structured, executable rules. Engine 2 — Catalog Aggregator & Insights applies those rules to the catalog, predicts patterns, and tells you how to make a title eligible — across every term year. Both are agentic RAG. They feed each other. That closed loop is the product.
Near-miss clusters💡Eligibility ReasonerMake-it-eligible levers📈Insight NarratorMulti-year visualsagent re-plans · re-retrieves · re-reasonsOUTCOMES✅ELIGIBLESell today
847⏳CONDITIONALAwaiting date
234🔮FORECAST12-mo pipeline
412💡MAKE-IT-ELIGIBLENear-miss levers
1,089< 60s full-catalog run· N × M × Y evaluations· re-runs on every catalog change
✅
Eligible
All eligibility conditions pass. Window open right now. Ready to license immediately.
847
titles, per sample deal
⏳
Conditional
Rules pass; the window hasn't opened. Date formulas evaluated — auto-promote when triggered.
234
awaiting trigger dates
🔮
Forecast
Will become eligible once a future release date is met. Pipeline visibility for the next 12 months.
412
12-month horizon
💡
Make-It-Eligible
Near-miss titles with ranked levers — boost theatrical, attach a tier-A cast member, shift a release date, expand territory.
1,089
near-miss titles · ranked playbook
Bird's-Eye Flow
Two Media Companies. One Platform. One Licensed Title.
The zoomed-out view. A regional contract flows from the Licensor through the Licensee's negotiation table, into CLIP™'s two agentic engines, and out the other side as bookable revenue — plus a ranked list of near-miss titles Engine 2 says you can still turn into revenue. Four swim lanes; seven moments; zero manual rule interpretation.
Reading the swim lane:
the Licensor and Licensee negotiate and execute the contract in the top two lanes. That executed contract lands in CLIP™ (Lane 3), where Engine 1 extracts four rule segments and Engine 2 scores them across the live catalog × every term year. FRONTIER QUEST matches all four gates — the glowing moment in T6 — and drops into the Outcome lane as $2.75M of bookable revenue, alongside 846 other matched titles. The amber card in Lane 1 is Engine 2's unique play: 1,089 near-miss titles with ranked levers — boost theatrical, attach a tier-A cast member, shift a release date — to tip them into future revenue.
Worked Example · Setting the Stage
From a 94-page contract to one licensed title.
Follow a real Aurora catalog title — FRONTIER QUEST (2022) — through the four rule segments extracted from a CEE Pay-TV output deal. Plain-English story first; the JSON that powers it waits at the bottom.
🎬
FRONTIER QUEST
MPM · F2902700000 · titleId 4
TypeFeature
RatingPG-13
ColourColor
Runtime120 min
OriginU.S.A.
Sales RatingASTRO-MEGA
Module 2 · Live Catalog Record
One title. Ninety-plus structured attributes. Already in the catalog.
When the rule engine runs, every condition in the contract maps to a populated field on FRONTIER QUEST's real title record — theatrical dates, home-video dates, box office, screens, rating, origin, genre. No guessing, no field invention. This is Module 2 doing its job.
US Theatrical2022-02-18
US Home Video2022-05-10
US Box Office$148.6M
WW Box Office$401.7M
US Screens4,275
Budget$100M
GenreAction · Adventure
Earliest ReleaseSouth Korea · 2022-02-09
📜
Source Contract
CEE Pay-TV Output Deal · Territory Group: Baltics & Central Europe
Executed Jan 2022 · Term Year 3 · 94 pages · Four rule segments extracted by Module 1
Segment 1Qualifier
Segment 2Start Date Window
Segment 3Caps
Segment 4Rate Card
How We Made It Eligible
Four Gates. FRONTIER QUEST Clears All Four.
Each gate is a rule category pulled from the contract. We show you the contract clause, then the live evaluation against FRONTIER QUEST's real attributes. Pass all four and the title shows up on the sales dashboard — ready to licence.
1
Gate 1
Qualifier
2
Gate 2
Start Date Window
3
Gate 3
Caps
4
Gate 4
Rate Card
1
Gate 1 · Eligibility
Is FRONTIER QUEST the kind of title this deal covers?
What the contract says
"Qualifying Pictures means theatrical motion pictures released theatrically in the United States on or after 1 January 2022, rated PG-13 or milder, and generating reported US box office of at least USD 5,000,000."
Evaluated against FRONTIER QUEST
Is it a Feature?Feature ✓
US theatrical on / after 01 Jan 2022?18 Feb 2022 ✓
Rated PG-13 or milder?PG-13 ✓
US box office ≥ $5,000,000?$148,648,820 ✓
✅ Gate 1 PASSAll four conditions true
2
Gate 2 · Licence Period
When does the licence window open and close?
What the contract says
"The Pay-TV Licence Period shall commence on the earlier of (a) 100 days after the initial US theatrical release date, or (b) 100 days after the US home-video release date — and shall continue for twelve (12) months."
Evaluated against FRONTIER QUEST
Option A — 18 Feb 2022 + 100 days29 May 2022
Option B — 10 May 2022 + 100 days18 Aug 2022
Earlier of the two29 May 2022 ✓
Window ends (+ 12 months)29 May 2023
✅ Window resolved29 May 2022 → 29 May 2023
3
Gate 3 · Volume Limits
Is there room for FRONTIER QUEST in Contract Year 3?
What the contract says
"Licensee may exhibit a maximum of twelve (12) Qualifying Pictures per Contract Year, each entitled to up to fourteen (14) linear airings. No more than three (3) ASTRO-MEGA titles may be included in any single Contract Year."
Evaluated against FRONTIER QUEST (Contract Year 3)
"Licence fees shall be tiered by US box office: Tier A (≥ $100M) = $2.5M; Tier B ($25M–$100M) = $1M; Tier C (< $25M) = $250K. A territorial multiplier of 1.10× applies to all Baltic territories."
Evaluated against FRONTIER QUEST
US box office $148,648,820Tier A
Tier A base fee$2,500,000
Baltic multiplier× 1.10
Licence fee resolved$2,750,000 ✓
✅ Rate card resolvedTier A · $2.75M
✓
Final Eligibility Verdict
FRONTIER QUEST is ELIGIBLE — licence-ready for the CEE Pay-TV deal.
All four gates clear. Window auto-calculated, fee auto-priced, cap slot reserved. The title lands in the Eligible bucket and shows up on the sales dashboard the same day the contract is signed. Zero manual interpretation.
Window Opens
29 May 2022
Licence Fee
$2,750,000
Segmentation
Eligible
FRONTIER QUEST surfaces from a 12,000-title catalog scan.
The rule engine ran against every title in the Aurora catalog in ~58 seconds. 847 titles passed the Qualifier; 234 are awaiting their window to open; 412 are in the 12-month forecast. FRONTIER QUEST is one of the immediately-eligible 847.
Sky Ranger: No Way Home
Ghostbusters: Afterlife
Morbius
FRONTIER QUEST
Venom: Let There Be Carnage
Where the Crawdads Sing
Bullet Train
The Woman King
Lyle, Lyle, Crocodile
Devotion
Whitney Houston: I Wanna Dance
A Man Called Otto
Missing
65
…+ 833 more
Row produced for the sales dashboard
Title
Segmentation
Window Opens
Window Ends
Licence Fee
Airings
Cap Slot
FRONTIER QUEST
Eligible
2022-05-29
2023-05-29
$2,750,000
14
7 / 12
🔬
Deep Dive
The JSON That Made It Happen.
For the technical reader: here's the exact structured output Module 1 extracted from the contract for each of the four rule categories. Each block is the versioned, executable JSON that the rule engine consumes — grounded by the Module 2 reference vocabulary, approved by a human, and auditable end-to-end. Click any card to expand.
"Qualifying Pictures means theatrical motion pictures (i) produced or acquired by Licensor, (ii) released theatrically in the United States on or after January 1, 2022, (iii) rated PG-13 or milder, and (iv) generating reported US box office of at least USD 5,000,000."
Gate 2 · Rule SegmentStart Date Window — Licence Period
›
Contract clause (verbatim)
"The Pay-TV Licence Period for each Qualifying Picture shall commence on the earlier of: (a) 100 days after the initial US theatrical release date, or (b) 100 days after the US home-video release date — and shall continue for twelve (12) months."
"Licensee may exhibit a maximum of twelve (12) Qualifying Pictures per Contract Year, each picture entitled to up to fourteen (14) linear airings across the Pay-TV window. No more than three (3) ASTRO-MEGA rated titles may be included in any single Contract Year."
"Licence fees shall be calculated per Qualifying Picture by tier of reported US box office: Tier A (≥ USD 100,000,000) = USD 2,500,000; Tier B ($25M–$100M) = $1,000,000; Tier C (< $25M) = $250,000. A territorial multiplier of 1.10× applies to all Baltic territories."
Engine 2 renders the rule × title × term-year cube as a continuously-updated visual timeline, explains per-title eligibility with the exact reason and term year, integrates with Salesforce, ERP, Tableau and your rights-management system to answer the one question that actually matters: "is this title free to sell — right now, this quarter, next year?"
🗓️
Visual Timeline
Multi–term-year timeline per deal × product category. Title pills colour-coded: Eligible · Conditional · Forecast · Near-miss · Blocked. Amendment markers and cap-usage bars inline. Re-renders on every catalog change.
🔍
Per-Title, Per-Year "Why"
Click any title: get the verdict, the contract clauses that drove it, the evaluated dates, the cap availability, and the rate-card tier — for the exact term year. Every answer traceable to the source clause.
💡
Make-It-Eligible Levers
For every near-miss title: ranked levers (boost theatrical, attach cast, shift date, expand territory), each with its expected revenue impact. Turns CLIP from a report into a revenue-strategy assistant.
🔐
Rights-Availability Check
Integrates with Rightsline, FilmTrack, ERP-RMS, custom systems. Detects "already sold" conflicts before surfacing a title as eligible. Turns rules-eligible into actually-available-to-sell.
☁️
Salesforce · ERP · Tableau
Native connectors: eligible titles auto-create Salesforce Opportunities, rate-card values post to ERP AR, Tableau/Power BI/Looker query the rule × catalog × year cube live. Zero net-new tools for planners.
🔌
API · Webhooks · Export
REST + GraphQL for raw extracted rules and per-title eligibility. Webhooks on eligibility-state change, cap exhaustion, amendment impact. CSV / Excel / PDF export for any slice.
🎯
Engine 2 doesn't just compute eligibility — it shows it, explains it, unlocks it, verifies it can be sold, and delivers it into the systems your sales and finance teams already live in.
That's the difference between a reporting tool and a sales system — and the reason Engine 2 is the insights engine, not just a scoring engine.
Delivery Roadmap
6-Month Rollout. Quarterly Value Releases.
Phased delivery. Each phase ships shippable value — no big-bang finale. Current status as of April 2026: Phases 1–2 delivered, Phase 3 in-flight, Phase 4 scoped.
Start with Core — digitise contracts. Add Insights — see what you can sell today. Add Forecast — see what you will sell next quarter.
🏗️
CLIP Core™
Tier 1 · Contract Digitisation
OCR + LLM contract ingestion
Rule extraction & classification
Amendment layering & versioning
Master data mapping (Module 2)
Manual override UI & audit log
🔍
CLIP Insights™
Tier 2 · Eligibility Intelligence
Everything in Core
Rule engine execution on catalog
Eligible / Conditional / Forecast segmentation
Rights system integration
Commercial scenario modelling
📡
CLIP Forecast™
Tier 3 · Predictive Strategy
Everything in Insights
12-month eligibility forecasting
Amendment & renewal simulation
Revenue potential modelling
Pipeline dashboards & alerts
Business Impact
The Numbers Investors Need.
Built with a CFO-grade estimate and a conservative ROI model. Total programme cost < $365K with payback inside 8 weeks of go-live.
5.2×
First-Year ROI
post go-live · May 2026
$6M+
Annual Value
revenue uplift + cost avoidance
90%
Time Reduction
contract interpretation
12 mo
Pipeline Visibility
forward-eligible titles
$363K
Total Programme Cost
dev + infra + contingency
6 wk
Time to Value
Phase 1 shipped in sprint 2
99.9%
Uptime SLA
enterprise-grade infra
SOC 2
Security
Okta + JWKS · audited
Ready to Turn Contracts into Revenue?
Two modules. One platform. Contracts interpreted in minutes, catalog intelligence that grounds every rule, a 12-month pipeline that updates automatically.