Architecting the infrastructure for applied AI

We are an institutional AI delivery platform bridging the gap between world-class academic brilliance and true enterprise execution.

$1.8T
Projected Global AI Market (2030)
>60%
Enterprises Stalled in AI Adoption
100%
Client & Creator IP Ownership
OUR STORY

As technology operators, we noticed a profound disconnect in the market. While the global AI industry was accelerating, over 60% of enterprises remained stalled in their adoption journeys. They had access to theoretical models, but completely lacked the operational framework and specialized talent to deploy them.

At the exact same time, we saw top universities producing world-class AI creators who lacked structured pathways to bring their innovations into real enterprise environments. The result was a broken ecosystem: brilliant talent was forced to leave for legacy tech hubs, while local businesses fell further behind due to cost, uncertainty, and a lack of technical resources.

LOOMENYX was founded to close that gap. We built a governed infrastructure layer to institutionalize applied AI delivery. By connecting enterprise demand directly with an elite, globally coordinated university network, we transform technical uncertainty into measurable business value—all while ensuring creators and clients retain absolute ownership of their intellectual property.

Our Mission

To institutionalize applied AI delivery by connecting enterprise initiatives with structured university-based execution networks under formal governance and oversight.

The Vision

To establish a globally coordinated applied AI infrastructure layer that integrates university talent, enterprise deployment, and responsible governance into a unified operating model.

Our Values

Collaborate

We bring together diverse people, institutions, and ideas to solve problems faster and better

Empowerment

We give creators the trust, tools, mentorship, and opportunity to lead

Ownership

We respect ownership, safeguard intellectual property, & ensure value flows to those who create it

Impact

We prioritize practical solutions, measurable outcomes, and work that creates lasting economic and community value

Executive Leadership

Built by experienced leaders.

LOOMENYX is founded by technology operators with decades of experience in scalable SaaS, enterprise energy markets, and production-ready MLOps.

Dan Erhardt Founder

Dan Erhardt

Over 20 years of experience in enterprise markets and Founder/CEO of Arcobi (formerly Arcus Power), a fast-growing SaaS company transforming AI use in the energy sector.

Dan has a proven track record of building and scaling AI software companies with lean teams, growing businesses profitably, and securing venture capital. He is a recognized speaker on AI adoption and market growth across North America.

Wish Bakshi Co-Founder

Wish Bakshi

AI engineer specializing in MLOps and scalable AI solutions. Founder of Quant AiQ, building production-ready AI models that optimize enterprise asset performance.

Wish’s expertise spans complex AI infrastructure, automated pipelines, and real-time model monitoring. He is a recognized leader in the tech community and a finalist for the Small Business Awards for his work in applied AI.

Institutional Framing

The Dual-Entity Governance Model

To ensure both enterprise-grade delivery speed and strict institutional integrity, we operate through a coordinated two-tier structure.

01

LOOMENYX

Commercial Execution Platform

  • Enterprise-facing commercial delivery
  • Scopes corporate AI opportunities
  • Architects and executes ML deployment
  • Ensures commercial-grade accountability and security
02

LISA

Not-for-Profit Governance Arm

  • Federally incorporated governance entity
  • Administers university chapter agreements
  • Manages student participation frameworks
  • Oversees ethics standards and compliance

Ecosystem Participation Tiers

We provide structured pathways for global students to build real enterprise solutions. Our engagement model ensures progression, mentorship, and clear intellectual property rights.

Participation Tier Core Responsibilities Ecosystem Benefits
ML Research Fellows Lead complex research projects and take on dedicated project leadership roles. Provide peer mentorship. Industry mentor access, publication opportunities, paid internships, and annual stipends.
Project Contributors Execute industry project work under experienced operators and develop advanced technical skills. Portfolio building, enterprise networking events, and certificate program access.
Learning Members Basic project participation, shadow deployments, and engage in peer learning groups. Technical workshop access, online resources, and career counseling.