A distribution engine for the age of infinite creation.

Writing the song, filming the movie, building the product. Whoever owned the means of creation largely owned the outcome. That era is ending.

Tools now let anyone generate hundreds of songs, films, or brands in an afternoon. The constraint has shifted. In a world where anything can be made instantly, the new scarcity is attention, and the new frontier is distribution.

Spektra is the engine built for that world.

Spektra is not a content agency. It is a technology product. It does not rely on third parties to produce results. It is an operating system for distribution: one asset enters, thousands of native variants leave, and the signal from each platform steers the next wave. Built so creative work can stay creative work, while the distribution machine runs in the background.

It is built in-house by engineers and operators with decades of combined expertise in software and social media growth, and it rests on years of modeling user behavior across platforms and reverse-engineering UGC down to source footage and edit-level mechanics. Semantic video understanding lets the engine find relevant footage from a natural-language brief, so a niche idea can be rendered into native variants without a human rummaging through asset libraries. The stack, the instincts, and the research live in one team, which is what lets the loop actually close.

The point is not more content for its own sake, but controlled repetition, fast feedback, and enough surface area for the feed to find demand without buying attention.

Think Meta ads, but operating in the organic feed instead of the paid one.

That is the structural difference: agencies ship deliverables, ad platforms rent placement, and creator networks rent reach. Spektra runs the distribution machine itself.

Companies have specialized in content creation. Others have specialized in content distribution. Both have existed for years. What hasn't existed is the full stack: the same operator running creation and distribution as one continuous system.

That gap isn't an accident. Creation and distribution are fundamentally different businesses with different talent, different capital structures, and different incentives. When the two sides work together, it's through contracts, handoffs, and compromises, none of which produce end-to-end control.

Spektra is not B2B, not B2C. Today the engine is music-first: it runs on catalogs we own, co-own, or have real upside in. The broader model can extend to other owned assets later. The other tiles illustrate the pattern, not current verticals.

A trading firm doesn't sell its execution algorithms. It runs them. Spektra works the same way. Every operator we showed it to, across catalog M&A and social distribution, gave us the same advice: don't license it, run it. We agreed.

Music is a validated, resilient asset class1Recorded music hit US$31.7B in 2025 (IFPI Global Music Report 2026, +6.4% YoY, the 11th consecutive year of growth), with streaming ≈70% ($22B) of the master side and physical $5.3B. Publishing crossed US$10B in 2025 (Omdia / Goldman Sachs), up from $9.9B in 2024 and projected to reach ~$15B by 2030. Goldman Sachs projects the combined global music market (recorded, publishing, live) growing from $104.9B in 2024 to nearly US$200B by 2035. WIPO's March 2026 report identified at least US$20.4B of music-rights investment since 2019, led by BlackRock, Blackstone, Apollo, and KKR.Sources: IFPI / Omdia / Goldman Sachs / WIPO. On the balance sheets of institutional capital, the asset class is no longer fringe. The hesitation that remains is decay: no fund wants to buy a shrinking asset. The unresolved question is what happens when distribution is run continuously against the catalog.

Catalog buyers still price in decay as if it were a property of the asset. That assumption is baked into every model that forecasts a catalog's future earnings year by year and discounts them back to today's value (also known as DCF), every acquisition multiple, every fund's underwriting. Specialist valuation guides put typical catalog returns around 6–12% annually, but also warn that modern-song revenue can fall as much as 20% per year in the first three years before slowing to roughly 2–5% after five to seven years2Calcix's 2026 catalog guide cites 6–12% typical annual returns, modern-song decay up to 20% per year in the first three years, and a 2–5% plateau after five to seven years.Source: Calcix catalog valuation research.

It also quietly defines the whole asset class. In Calcix's own worked example, a catalog bought for $400,000 earning $50,000 today, at 10% annual decay, drops to $45,000 next year, then $40,500, turning a headline 12% return into roughly 5%. Decay is not a minor detail. It's the variable.

And it's compressing. Shot Tower Capital projects recorded-music catalog multiples falling from 13× in 2024 to roughly 12× by 2028, and publishing multiples from 16× to 15×3Shot Tower Capital's 2026 analysis projects recorded-music multiples declining to approximately 12× by 2028 from a 13× average in 2024, and publishing multiples from 16.1× to 15.1×. Royalty Exchange data shows catalogs selling at ≥10× multiples derive 62% of royalties from streaming, vs. 44% for those under 10×.Sources: Shot Tower Capital / Billboard / Royalty Exchange. The decay-priced market is repricing lower, not higher.

A song doesn't lose listeners because listeners are tired of it. It loses them because the feed stops surfacing it. Decay is what happens to a catalog in the absence of distribution. The variable that moves catalog economics most is the one the industry treats as fixed. Academic work on catalog valuation already shows older top-performing songs grow rather than decay4Stoikov & Kosyuk's "Valuation of Music Catalogs" (SSRN) finds that for songs at dollar-age 7, only bottom-performing songs decay while top performers grow significantly. Decay is conditional on distribution, not intrinsic to age.Source: Stoikov & Kosyuk, SSRN: decay is conditional on distribution, not intrinsic to age.

Spektra's thesis: a distribution engine that runs continuously against a catalog doesn't just add uplift on top of the existing curve. It attacks the decay assumption itself. A catalog whose streams grow instead of decay is a structurally different asset, one the market hasn't priced.

Here's how the engine runs today. A partner brings in an asset: a track, an album, a full catalog. The system reads it against proprietary data on how each niche actually posts, and matches it to the niches where it's most likely to land (study lo-fi, gym PR clips, breakup edits, anime, festival prep, the rest). We solve the content problem and the editing problem inside each of those niches, then stitch the output into a distribution pass that ships across the matches.

Then the measurement loop starts. We watch where streams show up and which niches delivered them. The ones that worked get amplified. The ones that didn't get cut. The loop re-runs against the refined map. Same mechanic for a single song, an album, or a full catalog. Only the scale changes.

Spektra combines two specialties that have existed separately for years but never together under one operation. Creation and distribution usually live in different firms: record labels and studios produce, agencies and networks distribute. Holding companies combine them on the org chart, not inside a single engine where engineering-grade creation and a live distribution network answer to the same operator on the same day.

Both figures describe operator track records prior to Spektra. Spektra is currently running its own catalog through the engine; expansion to external catalogs follows the measurement phase.

We're open to conversations with:

We know what we've built. We want to spend our time on conversations that move the ball forward.