Building intelligent infrastructure for the AI era.

Build the layer underneath, not the surface on top.

Founder, CosentriQ + D15. Decision infrastructure for AI products. Human intelligence infrastructure for the systems behind them.

The next decade of AI won't be won by speed. It will be won by infrastructure — for the products AI powers, the systems it depends on, and the people shaping it.

I build the layer underneath. CosentriQ is decision infrastructure for AI-driven companies. D15 is human intelligence infrastructure for the systems behind them.

Ventures Building

$4M+

ARR Built

NSF

Funded Research

↓

DOCTRINE

The discipline beneath the surface.

I don't optimize for what ships fastest. I optimize for what holds up under load. Every system I build — for AI products, for the human intelligence inside them, for the people they reach — runs on the same operating logic. Four principles. One discipline.

01
Model first.

Map the system before you build it. Decisions before code. The cost of being wrong gets priced in upstream, not after launch.
02
Stress-test before scale.

What breaks at 10×? At 100×? Find the failure mode before the market does. Pressure tests are cheaper than postmortems.
03
Build substrate, not surface.

Features rot. Infrastructure compounds. Build the layer everything else stands on, and the surface takes care of itself.
04
Compound intelligence, don't reset.

Every decision is a deposit. Systems that learn from their own history outperform systems that start over each cycle.

This is what discipline looks like before it becomes a venture.

WHAT I'M BUILDING

Two Domains. One Discipline.

Two ventures. Two populations. One operating logic underneath. Each applies the same discipline to a different layer of the AI economy.

CosentriQ — Product Decision Infrastructure for the AI era.

As AI accelerates execution, the bottleneck is no longer building — it is product judgment: knowing what to build, what is breaking, what will fail, and what the cost of being wrong actually is. CosentriQ is the decision infrastructure layer for modern product organizations, built around CoTerminal — a persistent Product Intelligence System that integrates product behavior, AI feasibility, market conditions, financial consequence, and system integrity into one structured workspace.

Every diagnostic resolves into one of five governed decisions:

Refine. Pivot. Rebuild. Validate. Scale.

In market today through CoTerminal and a four-layer ecosystem: Diagnostic → Advisory → Decision Operations → Solutions Architecture.

Visit CosentriQ →

D15 — Human Intelligence Infrastructure for the AI era.

Every foundation model, enterprise copilot, autonomous workflow, and agentic system depends on human intelligence — reasoning, evaluation, correction, cultural context, lived experience. Yet the systems collecting that intelligence remain fragmented, extractive, and structurally misaligned.

D15 is the infrastructure layer where verified, diverse human reasoning becomes model-ready, economically participatory, and strategically deployable at scale. AI builders gain access to verified, context-rich human intelligence. Contributors gain direct participation in the economic layer of AI itself.

Visit D15 →

RESOURCES

Open Research & Prior Work

The best work is shared work. Here are frameworks, case studies,and research from a decade of AI infrastructure implementation—available for anyone building responsibly with AI.

System [00]

CoTerminal — Product Intelligence System

The persistent Product Intelligence System at the core of CosentriQ — integrating product behavior, AI feasibility, market conditions, financial consequence, and system integrity into one governed workspace. Every diagnostic resolves into one decision: Refine. Pivot. Rebuild. Validate. Scale.

Join Beta

[01]

DollarFifteen MVP Demo

Product Prototype • Human Intelligence Infrastructure

MVP Interactive Demo Contributor Experience Mobile-First Access Layer

Abstract: Showcases the early-stage DollarFifteen contributor journey — a mobile-first product prototype designed to help people learn AI, earn rewards, and participate in the economic layer of the AI era through trusted human intelligence infrastructure.

Try Demo → View GitHub

[02]

Growth Infrastructure Benchmark™ Study

Executive Benchmark • Growth-Stage Companies

Benchmark Study Infrastructure Maturity Executive Readout

Abstract: Establishes infrastructure maturity standards that CEOs use to evaluate scaling readiness and competitive positioning in fast-growing organizations.

Read Study →

[03]

Scaling Intelligence Gap™ Research

Decision & Infrastructure Intelligence Research

Research Decision Velocity Opportunity Capture

Abstract: Identifies why infrastructure-intelligent organizations make strategic decisions 3.2× faster and capture opportunities 47% more effectively.

Read Findings →

INSIGHTS

Architecture Frameworks & Research Essays

Deep dives on AI infrastructure architecture—real systems, failure patterns, and blueprints for resilient scale.

Strategy Framework

Signal Architecture for Strategic Decision-Making

A framework for turning organizational noise into strategic intelligence. Systematic approaches to information processing that scale human judgment and reduce decision latency by 75%.

10 min read Read Framework →

Systems Case Study

Scaling Decision-Making: A Platform Approach

Architectural case study on processing millions of signals for strategic advantage through advanced platform engineering and distributed decision systems.

12 min read Read Case Study →

ABOUT

Ariana Abramson

I'm a second-time founder. My first company, DivySci, reached $4M+ ARR before structural decision failure forced it to close — and that ending is the source of two of the three companies I'm building now. Product Decision Debt is what I now call the failure mode that ended DivySci. CosentriQ is built to prevent it. D15 is built to solve the human intelligence infrastructure gap I first encountered in 2018, now an industry-scale crisis.

This work didn't come from a thesis I developed and applied. It came from a failure I lived, named, and refused to leave behind.