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ariscaga/README.md

AI Infrastructure Expert Banner

Hi, I’m Ariana (@ariscaga)

Founder, CosentriQ + D15 | Building intelligent infrastructure for the AI era

I build the layer underneath.

My work focuses on the decision systems, human intelligence infrastructure, and product architecture that determine whether AI products, organizations, and emerging systems actually work before they scale.

Most systems don’t fail because the technology is impossible. They fail because the underlying model, judgment layer, or human infrastructure was never designed well enough to hold.

I’m building systems that fix that.


Current Focus

CosentriQ — Product Decision Infrastructure

A governed Product Intelligence System for AI-driven organizations. Built around CoTerminal, CosentriQ transforms fragmented product, market, financial, and AI-system signals into structured decisions: Refine · Pivot · Rebuild · Validate · Scale

D15 — Human Intelligence Infrastructure

Building the human reasoning infrastructure powering modern AI systems — where verified human judgment becomes model-ready, economically participatory, and strategically deployable at scale.

OAI³ / Intelligence Infrastructure Research

Exploring how intelligence flows, compounds, degrades, and governs across organizations, systems, and communities.


Operating Discipline

Model first

Map the system before building.

Stress-test before scale

Find structural failure before the market does.

Build substrate, not surface

Infrastructure compounds. Features alone don’t.

Compound intelligence, don’t reset

Systems should retain and evolve judgment over time.


Background

  • Second-time founder
  • Founder, CosentriQ + D15
  • Previously built DivySci to $4M+ ARR+
  • Columbia University (Information & Knowledge Strategy)
  • Computer Science background
  • NSF-funded AI research (2x)
  • Backed by Google for Startups, AWS, Camelback Ventures, Black Ambition, and Roddenberry Foundation

Technical Context

Systems / AI: LLMs · RAG · Decision Infrastructure · Human Intelligence Systems · Multi-agent workflows

Backend: Python · Node.js · PostgreSQL · Supabase

Frontend: React · TypeScript

Core Themes: AI Infrastructure · Product Decision Systems · Human Intelligence · Organizational Systems


Philosophy

Build the layer underneath, not the surface on top.


Connect

W | www.arianaabramson.com

Socials | LinkedIn: linkedin.com/in/arianaabramson

E | ariana.abramson@gmail.com

Pinned Loading

  1. OAI3/oai3-framework OAI3/oai3-framework Public

    OAI³ (Organizational Ambient Integrated Intelligence) Framework - The paradigm for coherent organizational AI adoption

  2. ai-infrastructure-framework ai-infrastructure-framework Public

    Technical showcase of the SCALE FACTOR™ Assessment methodology - a proprietary scoring framework for measuring AI infrastructure readiness across 7 critical dimensions. Includes scoring logic, samp…

    TypeScript

  3. ai-social-assessment ai-social-assessment Public

    Evaluate AI initiatives for social value, ethics & community impact. 500-point scoring system across 5 dimensions. Try it: social-aivalue.netlify.app

  4. sme-ai-infra-diagnostics sme-ai-infra-diagnostics Public

    Foundational AI infrastructure systems for small and midsized enterprises — including operating models, diagnostic schema, and strategic tooling used across Nadis Intelligence’s client engagements.

    2

  5. gpt-workflows gpt-workflows Public

    Experimental GenAI workflows and prompt chains — RSS summaries, sentiment tagging, and score enrichment demos. Not affiliated with Nadis Intelligence’s proprietary products.

    Python