Spektra
Spektra operates a three-product distribution engineering loop that builds owned reach for product launches on short-form social feeds. Azimuth reads what spreads in a niche frame by frame, Ignis rebuilds one source story into native versions for each platform, and Parhelion distributes through niche pages, vetted creators, and client accounts. The company offers a seven-day Distribution Blueprint for $5,000 that includes a 90-day plan.
- Marketing Technology
- Software Only
- Artificial Intelligence
- Data & Analytics
Funding
Founders
Founder details are not available yet.
Product
Problem
Generative tools have made content cheap, flooding social feeds with far more posts competing for the same limited attention. Companies launching products cannot see why feeds reward certain posts, struggle to make content that fits each platform natively, and lose all their reach the moment paid media or creator campaign budgets stop.
Solution
Spektra operates a three-product distribution engineering loop that builds owned reach for product launches. Azimuth reads short-form video across a niche frame by frame to identify what is spreading, what is fading, and why, then outputs a brief for content teams. Ignis takes one source story and rebuilds it into native versions for each audience, platform, and format, ranked with reasoning, rather than merely resizing. Parhelion carries finished content through the client's own accounts, vetted creators, and niche pages Spektra operates, proving posts on owned accounts before widening distribution, then reports response per route so the next wave is better aimed.
Target Audience
Primary customers are product, marketing, and brand teams launching products, releases, catalogues, or stories into short-form social feeds, particularly those whose good content is not reaching its intended buyers and who want compounding, owned reach rather than rented attention.
Features
- Azimuth analyzes competitor, creator, and niche posts frame by frame—hook, set, turn, words, sound, and pace—and ties each element to audience response to identify why posts spread or fade
- Continuous niche monitoring compares each read with the last and checks calls against client post performance, so recommendations stay current as feeds move
- Ignis produces multiple native versions per source with different openings, story order, crops, on-screen text, and lengths per feed, then ranks them with the evidence for each
- Parhelion operates topic-based niche pages (not personas, no impersonation) that keep their audiences after campaigns end, with rules against buying followers or running paid media
- Three-route distribution order: own accounts prove posts first, vetted creators matched for audience fit carry them further, then niche pages add burst reach on proven content
- Response is read per route and reported back, so each campaign leaves data and audience for the next launch