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Prism
Content intelligence  —  the ability to know what's in every frame, and connect it to what drives your audience.

Your content library is your
most undervalued asset.

60,000+
Hours of content processed
< 5 min
Per hour of video
10–30x
Cheaper than alternatives
The Gap

You have thousands of hours of premium content.
Most of it is invisible to your business.

Your archive is rich with value — techniques, talent, moments engineered to engage. But without content-level intelligence, that value stays locked inside the video files.

🎬

Social teams clip manually

Finding the right 30-second moment for Reels or Shorts means watching hours of footage. When a cooking trend goes viral on TikTok, the window is 48 hours — manual review can't keep up.

📈

No content–performance link

Marketing knows which videos get views. Production knows what's in each episode. Nobody can answer: "Which specific techniques, hosts, or formats actually drive retention and subscriptions?"

📚

The archive doesn't compound

Every new season of content is valuable. But without a way to search and cross-reference across your entire library, older content can't be resurfaced, remixed, or monetized at scale.

👥

Talent ROI is unmeasured

Which hosts drive subscriber growth? Which on-screen personalities have the strongest social engagement? The data exists across platforms, but nothing connects talent presence to audience outcomes.

🌐

Multi-brand strategy is gut feel

When you operate distinct editorial brands, knowing where content overlaps and where it differentiates is essential for audience development. Today, that analysis is qualitative at best.

💰

Existing tools don't scale

Video AI vendors charge per feature, per minute. Transcription, face detection, object tagging — each a separate bill. At library scale, the economics break before you get to the interesting questions.

How It Works

From raw video to searchable,
actionable intelligence

A four-stage pipeline that reads your content the way a human would — understanding context, narrative, and meaning — but at machine scale and cost.

01

Intelligent Ingest

Scene boundary detection preserving narrative context
02

Parallel Extraction

One AI call per scene extracts everything simultaneously
03

Global Unification

Entity resolution — people, topics, and narrative arcs across the full video
04

Search & Discovery

Natural language search with full explainability

Intelligent Ingest

Videos are segmented at natural scene boundaries — not arbitrary 30-second cuts. Shot detection finds real transitions using visual cuts, audio breaks, and scene changes. Each segment preserves its full narrative context: a complete cooking technique demonstration, a full product test explanation, a complete host interaction. Better input means higher quality metadata from the same AI models.

Scene-aligned segments preserve complete moments — a full technique, a full explanation
What Prism Sees

Every dimension of your content,
extracted in a single AI call

One multimodal analysis per scene produces a complete intelligence profile. No per-feature pricing. No separate APIs for transcription, faces, objects, and mood. Everything, simultaneously.

👤

People & Talent

Face detection, identity enrollment, speaker diarization. Label a host once — recognized across the entire archive.

🎤

Scene & Camera

Shot type, camera movement, scene boundaries, lighting. Distinguish a close-up cooking demo from a wide kitchen walkthrough.

💬

Speech & Transcript

Full transcription with speaker attribution and diarization. Every word, linked to who said it and when.

🎭

Mood & Narrative

Emotional tone, tension level, narrative role (setup, climax, resolution). Identify the dramatic beats of every episode.

📑

On-Screen Text

Lower thirds, recipe titles, ingredient lists, product names, temperature readings — all captured via OCR.

🏷

Objects & Products

Equipment, ingredients, branded items, environmental details. Every Dutch oven, stand mixer, and chef's knife is cataloged.

📌

Themes & Topics

50+ semantic tags: technique tutorials, taste tests, equipment reviews, science explanations, competition, team dynamics.

★

Highlights & Chapters

Auto-scored clip-worthy moments based on narrative tension and engagement signals. Auto-generated chapter breaks for navigation.

Equipment Review: Dutch Ovens — S5E11 14:22 – 16:05
People
Megan Torres (equipment reviewer), James Park (co-host). Both speaking, side-by-side at testing station.
Objects & Equipment
Le Creuset Dutch oven (blue, 5.5 qt), Lodge cast iron Dutch oven, thermometer probe, stovetop burner
Mood & Narrative
Educational, enthusiastic. Tension: medium (reveal of winner). Narrative role: climax (product ranking).
Transcript Excerpt
"...and the heat distribution on this one was remarkably even, which is why it's our new winner..."
Themes
equipment-review, product-comparison, cooking-science, recommendation
Highlight Score
82/100 — product reveal + audience engagement signal. Recommended for social clip.
The Growth Engine

Connect what's in the content
to what grows the audience

Prism ships with 8 analytics dashboards connecting content attributes to audience data across every platform. Each data source you connect unlocks questions no single system can answer — turning content intelligence into a growth strategy.

What content intelligence reveals

Search
Natural language queries return timestamped scenes with full context — "every scene where a host demonstrates a braising technique" returns precise results in under 2 seconds.
Talent
Label a host once — every appearance across your archive is tagged, searchable, and quantifiable. Track talent screen time, segment associations, and audience co-occurrence.
Content DNA
Map your library by dominant themes, techniques, equipment, and editorial style. Identify content gaps, spot duplication, and understand what makes each brand distinct.
Clip Intelligence
Auto-scored highlight moments ranked by engagement potential. Every episode produces a shortlist of scenes optimized for short-form social content.
Use Cases

One platform, every team's growth lever

From the social desk to the C-suite, Prism gives each team the intelligence they need to move faster and make better decisions.

Turn your archive into a social content machine

Social Teams, Digital Marketing, Short-Form Producers

Prism auto-identifies clip-worthy moments across your entire library, scored by engagement potential. Specify a creative direction — "best equipment reveal reactions," "satisfying cooking technique close-ups," "hosts disagreeing on a taste test" — and get timestamped scenes ready for Reels, Shorts, and TikTok in seconds. Generate 5–15 episode microseries from a single prompt in under 90 seconds.

Without Prism
A trending food technique goes viral on TikTok. Your social team knows you have a great demo of it somewhere — but searching means watching episodes, asking colleagues, and scanning spreadsheets. By the time they find and edit the clip, the trend has peaked.
With Prism
Type "host demonstrates smash burger technique, close-up, high energy." Three results in 1.8 seconds with timestamps, scene previews, and highlight scores. The social team has a Reel posted within the hour, riding the trend at peak.

Find any moment across your entire library

Editors, Producers, Research Teams

Natural language search that understands context, not just keywords. "Every scene where someone tests a nonstick pan with eggs" or "host explains the science behind bread rising" returns timestamped results with full metadata — who's on screen, what equipment is visible, and exactly why each result matched. Audio fingerprinting identifies any clip's source episode in under 2 seconds.

Without Prism
An editor needs B-roll of a stand mixer in action for a new recipe video. They message colleagues, dig through shared drives, and scan episode descriptions before watching 40 minutes of footage to find a 15-second usable clip.
With Prism
Type "stand mixer close-up, dough hook, action shot." Five results across three seasons in 1.4 seconds, each with scene previews, shot type metadata, and rights status. The editor picks the best one and is back to work in 30 seconds.

Quantify what your on-screen talent is worth

Programming, Audience Development, Talent Management

Prism links host appearances to audience behavior across every platform. See which hosts drive YouTube retention in specific demographics, whose segments get shared most on Instagram, and which talent combinations produce the highest engagement. Talent decisions move from intuition to evidence.

Without Prism
"This host is popular" — but popular with whom? Which specific segments do they carry? Is their audience growing or plateauing? The data lives across YouTube Analytics, social dashboards, and email metrics with no connective tissue.
With Prism
"Host X drives 2.3x higher retention in the 25-34 demo, specifically during equipment review segments. Their taste test clips generate 4x more Instagram shares than the channel average. Subscriber conversion peaks when they appear in the first 90 seconds."

Connect product reviews to commerce at the scene level

E-Commerce, Partnerships, Revenue Teams

Your equipment reviews and product recommendations are high-trust content that drives purchase intent. Prism catalogs every product mention, brand appearance, and recommendation moment — creating a searchable index that links directly to e-commerce opportunities. Know exactly which episodes feature which products, with timestamps and context.

Without Prism
The commerce team wants to build a "best Dutch ovens" landing page with video embeds. Finding every episode that features Dutch oven testing requires manual research across seasons and shows. Product mentions in passing are missed entirely.
With Prism
Search "Dutch oven" across the full archive. Prism returns every scene — reviews, recipe usage, passing mentions — with product names, brands, and recommendation context. The commerce team maps video moments directly to product pages, affiliate links, and shopping experiences.

See what content converts free viewers to paying members

Growth, Membership, Marketing Leadership

For membership-driven businesses, the question isn't just "what gets views" — it's "what converts." Prism connects content attributes (topics, hosts, formats, techniques) to membership conversion events, revealing which types of content actually drive subscription decisions and long-term retention.

Without Prism
Analytics shows a video had high views and some conversion. But what about it drove signups? Was it the host, the technique, the recipe type, the production style? There's no way to decompose what worked at the content level.
With Prism
"Baking technique videos with science explanations convert to membership at 3.2x the rate of standard recipe videos. Conversion is highest when the host demonstrates a common mistake first. Videos featuring equipment recommendations have 40% higher LTV."

Understand what makes each brand distinct — with data

Strategy, Brand Leadership, Programming

When you operate multiple editorial brands, differentiation is everything. Prism maps the content DNA of each brand — themes, techniques, talent, mood, production style — and identifies where brands overlap and where they're uniquely positioned. Audience data by brand shows who watches what, and where cross-pollination opportunities exist.

Without Prism
Brand differentiation is defined editorially but never measured quantitatively. When the same type of content appears across multiple brands, nobody catches the overlap until audiences signal confusion — and by then the brand equity is diluted.
With Prism
"Brand A indexes 3x higher on technique-focused science content. Brand B owns comfort food and regional exploration. Overlap on grilling content is 40% — consider consolidating under one brand or differentiating through host personality and production style."
In Production

This isn't a prototype.
It's running on real content today.

Prism is currently processing 60,000+ hours of broadcast content across multiple networks. The dashboards below are live production views — ad break retention funnels, cross-platform brand scorecards, and audience analytics powered by content intelligence.

3–6 hrs
Time your team spends finding the right clip manually
48 hrs
Window before a trending topic loses momentum on social
< 2 sec
Time for Prism to find it across your entire archive
Ad break retention funnel dashboard showing viewer drop-off across chapters and platforms
Ad Break Retention Funnel Chapter-by-chapter viewer drop-off across 8M video starts. Prism connects scene-level content attributes to each retention curve — so you can see which content types hold viewers through ad breaks and which lose them.
Cross-platform brand scorecard showing YouTube, Facebook, and Instagram metrics side by side
Cross-Platform Brand Scorecard YouTube, Facebook, and Instagram in a single view — audience, engagement, shares, and content volume. Combined with Prism's content intelligence, you can see which content attributes drive performance on each platform.
Why Now

The window is open — and it won't stay open

Generative AI created a cost arbitrage that makes content intelligence economically viable for the first time. Early movers build a compounding data advantage that gets harder to replicate every month.

The cost structure changed

One multimodal AI call extracts everything — people, text, transcription, mood, objects, themes — simultaneously. This is 10–30x cheaper than per-feature vendor pricing. For the first time, indexing an entire library is economically viable.

Social demands content velocity

TikTok, Reels, Shorts — platforms are built for volume. Manual clip selection can't scale. Companies with searchable, scored archives will out-produce competitors who still scrub footage manually.

Intelligence compounds

Every video processed makes the system more valuable. Cross-reference talent across seasons. Track topic trends over years. The insights available at 10,000 hours are qualitatively different from those at 100.

Customize without vendor dependency

Need to detect specific products? Track a new metric? Add a compliance field? Change a prompt. No retraining, no code changes, no vendor negotiation. New intelligence deploys in minutes.

Content-audience link is the moat

Everyone will eventually index their content. But the companies that connect content attributes to audience behavior first build proprietary intelligence their competitors can't replicate — because the data is unique to their content and their audience.

Your infrastructure, your data

Prism runs on your cloud. Metadata stays in your database. No SaaS lock-in, no data sharing with vendors. Your content intelligence is a strategic asset — it should be controlled like one.

Every hour of content you aren't
indexing is an hour of growth
you're leaving on the table.

Prism is built, deployed, and processing real content today. I'd love to walk you through a live demo on your own content — 30 minutes to see what your archive looks like when every scene is searchable and every insight is connected.

Book a Demo
or email asn121@gmail.com
Read the story behind Prism
Production-Ready
Running on real content today
Cloud-Native
Serverless, scales to zero
Your Data
Your cloud, full ownership