Sign in ↗
The strengths of every model, in one project →

Every model.
One coordinated team.

VRTXZ combines multiple AI models in one coordinated project. Each model does what it does best.

0 / 5,000

Sign in with Google · Bring your provider accounts · No desktop download

HOW VRTXZ WORKS

Separate strengths.
Shared intelligence.

You speak with one project lead. The lead matches work to each model’s strengths, specialists exchange and challenge findings, and an independent quality gate checks the result.

Product launch
4 models connected
N
NORTHSTAR · PROJECT LEAD

I matched each assignment to the right model.

Every specialist owns distinct work. They will cross-review one another before Gatekeeper audits the combined result.

O
OPENAIArchitecture & synthesisSharing findings
A
ANTHROPICRequirements & riskReviewing OpenAI
G
GEMINIEvidence & testingChallenging assumptions
x
GROKAlternatives & critiqueReviewing Gemini
Collaboration meshAgents share findings, challenge assumptions, and report decisions to the lead.
✓
Independent quality gateRuns after specialist work and peer review
QUEUED
USE THE MODELS YOU TRUST

The right mind
for each task.

VRTXZ turns separate model capabilities into a coordinated system. Your credentials stay encrypted, providers bill your account directly, and every connection remains under your control.

OpenAIReasoning, code, synthesis
AnthropicAnalysis, writing, QA
Google GeminiResearch, context, evaluation
xAI · GrokChallenge, alternatives, insight
Moonshot · KimiLong context, code, review
BUILT FOR CONTROL

Coordinated work.
Visible token load.

01

One accountable lead

You have one main contact. The lead assigns work, resolves disagreements, and owns the final result.

02

Capability and load matching

VRTXZ matches work to each model and reports actual token distribution beside a transparent one-model projection.

03

Peer review plus QA

Specialists challenge one another’s work before a separate auditor checks coverage, evidence, and acceptance criteria.

THE BUILDERS

Meet the team behind VRTXZ.

Research, strategy, and engineering in one founding team.

Mo Mo
DATA & APPLIED AI

Mo Mo

Applied AI and evidence-driven product thinking.

Louisiana State UniversityLinkedIn ↗
Farish Jazlan
VENTURE & STRATEGY

Farish Jazlan

Venture strategy for AI and deep technology.

FJ CapitalLinkedIn ↗
Pavan Kumar Asur
COMPUTATIONAL ENGINEERING

Pavan Kumar Asur

Simulation, optimization, and machine learning.

IIT Kharagpur · TU WienLinkedIn ↗

Bring your models together.
Give them one mission.

Describe your project ↑Completely online. Start with your own model accounts.