# Singulariti

> Singulariti is the marketing intelligence platform for the agentic era — the moment AI agents choose products and services on behalf of consumers. It maps what the machines know about a brand, proves what the spend produced, and returns the evidence before the next decision. Formerly known as Myosin.

Singulariti's core claim: before 2030, the primary "customer" of marketing becomes AI decision-making agents. Brands that cannot be verified by machines will not be chosen by them. Singulariti builds and operates the system that makes a brand observable, verifiable, and preferred.

## The three instruments

- [Orbit](https://singularity-narrator.replit.app/orbit): Maps and executes. An AI digital-twin engine that runs media trading, creative production, copywriting, email, and short-form social continuously — marketing capacity without added headcount. Its architecture can hold further roles: SEO, lifecycle, paid social buying, community, analysis, PR, merchandising, and more.
- [Prism](https://singularity-narrator.replit.app/prism): Proves. Verifies marketing numbers and deduplicates attribution across Meta, Google, AppLovin, and CTV using the TrueBridge ledger. Contractually guarantees net-new customer CPA 20% below the client's platform benchmark — if the system misses, the client does not pay. Client portal: https://visionbridge.tv/
- [Beacon](https://singularity-narrator.replit.app/beacon): Reveals. Returns what Orbit maps and Prism proves to the person about to make a decision. A briefing before the budget moves, not a report after.

No instrument completes the cycle alone: reality produces observations, Orbit maps and acts, Prism verifies, Field Notes record what was learned, the Archive preserves what holds, and Beacon returns that knowledge to the next decision.

## Key pages

- [The Brand Singularity (paper)](https://singularity-narrator.replit.app/singularity): What happens to marketing when AI chooses for your customers — and what to build before 2030.
- [Thesis](https://singularity-narrator.replit.app/thesis): Every capability the boutique agency sold is now inside the building.
- [The Cycle](https://singularity-narrator.replit.app/cycle): How the instruments compound into a system that learns.
- [Field Notes](https://singularity-narrator.replit.app/field-notes): The public learning record.
- [Evidence](https://singularity-narrator.replit.app/evidence): Verified client outcomes.
- [Leadership](https://singularity-narrator.replit.app/leadership): Human judgment — the team, led by founder Sean Clayton.
- [Request a briefing](https://singularity-narrator.replit.app/begin): Bring one question your reporting has not answered; it is answered with evidence.

## Facts

- Company: Singulariti (rebranded from Myosin)
- Founder: Sean Clayton (background: neuroscience research; WPP / Choreograph identity graphs)
- Positioning: the marketing intelligence platform for the agentic era — map what the machines know, prove what the spend produced, return the evidence before the next decision
- Business model: platform sold on subscription, with an acquisition product (Prism) priced on outcome
- Prism guarantee: net-new customer CPA at least 20% below platform benchmark, or the client does not pay
- Prism: integrates Amazon Marketing Cloud clean-room signals into a single attribution ledger; zero retargeting — acquisition-only inventory

## Field Notes (public learning record)

Each note records an observation, the evidence behind it, an interpretation, and a recommendation.

- [What platform-reported conversions miss, measured against geo holdout](https://singularity-narrator.replit.app/field-notes/platform-reported-conversions-miss): Observation, confidence High, August 2026. Across three consecutive quarters of paid social activity for a mid-market consumer brand, platform-reported conversions exceeded conversions attributable under a geographic holdout design by a factor of 2.1 to 2.8.…
- [Model routing costs: what a year of oversized models costs a mid-market brand](https://singularity-narrator.replit.app/field-notes/model-routing-costs): Analysis, confidence High, August 2026. Auditing twelve months of AI usage across a mid-market brand’s marketing operation, 71% of model calls by volume were routine tasks — classification, extraction, formatting, short summarization — executed on…
- [Why AI creative fails, categorized by failure mode](https://singularity-narrator.replit.app/field-notes/why-ai-creative-fails): Method, confidence Medium, July 2026. Reviewing 312 AI-generated creative assets rejected before or shortly after launch across four brands, the failures were not evenly distributed. Nearly all fell into four categories: brand-voice drift, context…
- [The economics of leaving flat-rate seats for metered spend](https://singularity-narrator.replit.app/field-notes/economics-metered-spend): Observation, confidence High, July 2026. A brand migrating its marketing stack from per-seat SaaS licensing to metered, usage-based AI tooling saw total tooling spend fall 34% in the first two quarters — while usage of the underlying capabilities rose.
- [What a digital twin absorbed in ninety days, and what it never touched](https://singularity-narrator.replit.app/field-notes/digital-twin-ninety-days): Verified, confidence High, June 2026. Ninety days after standing up a brand digital twin, it reliably reproduced the brand’s voice, claims boundaries, product facts, and historical campaign learnings. It never absorbed — and showed no trajectory toward…
- [Posture drift: how brands over-index on urgency and what it costs at twelve months](https://singularity-narrator.replit.app/field-notes/posture-drift-urgency-costs): Observation, confidence Medium, June 2026. Tracking the messaging mix of a consumer brand across twelve months, urgency-coded language (limited time, last chance, ending soon) grew from 12% of outbound communications to 43% — without any corresponding change in…