Leadership · Recommendation Authority

Meet the team building the authority layer for AI answer engines.

Salienci is led by enterprise operators who have built revenue systems, public companies, value frameworks, and category-defining platforms before applying that experience to the new problem of AI recommendation.

Why leadership matters here

Category creation requires operators, not commentators.

Recommendation Authority is a discipline - measured through Access, Extraction, and Selection. The people building Salienci have spent decades inside the systems that decide how enterprise decisions are actually made.

Leadership Signal Grid live
Access
94
Extraction
88
Selection
91
Readiness
82
Velocity
76
Authority
89
k-matrix · authority architecture
Shimon Abouzaglo, Founder & President of Salienci.ai
profile · verified
authority
Enterprise signal
SAPIBMInforHPThalesValue Selling & Realization Council
Founder & President · Salienci.ai

Shimon Abouzaglo

MBA, University of Miami · 25+ Years B2B Revenue Architecture

Shimon has spent 25 years inside the revenue engine of enterprise technology - SAP, IBM, Infor, HP, Thales - not as a theorist, but as the person closing $200M deals, building global value consulting practices from scratch, and turning product marketing into a measurable pipeline.

He founded the Value Selling & Realization Council, a global organization that codified outcome-based selling as a recognized professional discipline. Today he applies that same framework architecture to the problem the entire market is getting wrong: AI recommendation.

At Salienci, Shimon built the scoring logic, the measurement methodology, and the category itself. The K-Matrix is not a marketing tool. It is a precision instrument built by someone who has spent decades learning exactly how buying decisions are actually made.

operating principle

Most AI visibility platforms tell you whether AI mentions your brand. Salienci tells you why it does not - and builds the foundation that changes that.

Ray Hood, CEO of Salienci.ai
profile · verified
authority
Enterprise signal
One Network EnterprisesBibliothecaCenergisticGuidepost Growth EquityNorth America · EU · Asia · MENA
CEO · Salienci.ai

Ray Hood

BS Economics, The Wharton School · Former Public Company CEO & IPO Founder

For the entirety of his professional career, Ray has founded and operated enterprise technology companies, specializing in the areas of supply chain, energy, communications, risk, and information technology - not just consulting on the business, but founding the company, running it as a public company CEO, being a board member, and operating the business itself.

He is the founder and former CEO of a company that went public as well as having built significant enterprise value at One Network Enterprises, Bibliotheca, Cenergistic, and Guidepost Growth Equity. Operating experience covers North America, Europe, Asia, and the Middle East regions.

Ray is bringing the business and operating expertise necessary for creating the commercialization and execution system for AI Recommendation Authority at Salienci.

operating principle

A category is not built through a statement of fact. It is created through a differentiating system and execution.

Why this team

Revenue architecture meets enterprise execution.

Salienci is not built as a content tool or visibility dashboard. It is built as a system for how AI recommendation authority is measured, engineered, and commercialized.

Discipline
Framework Architecture

Decades of value selling, enterprise revenue design, and outcome-based decision systems.

Discipline
Operating Discipline

Public company, board-level, and global enterprise operating experience across complex markets.

Discipline
Category Execution

A focused system for turning AI recommendation from a vague visibility problem into a measurable authority discipline.

Authority audit

See how your brand is understood, extracted, and selected by AI systems.

Request a Salienci Authority Audit and identify where your Recommendation Authority is strong, weak, or missing.