MMV FIRM
MMV
The most expensive problem in AI just got solved.
Series A · Confidential · March 2026 · mmvfirm.com

The Cost of AI Today

The leading AI models now cost over a billion dollars to train — each. GPT-4 alone is estimated at over $100 M. Next-generation models are projected to cross $10 B. And every time one needs to learn something new, that entire process starts over from scratch. Every major AI lab on the planet pays this cost on every model, every single update. MMV makes that cost structure obsolete.


Two Technologies. One System.
VIVERE
The Compression Engine

VIVERE stores the shape of data rather than raw bytes. 2048× compression demonstrated on full Wikipedia (71 GB, all languages). Billion-dollar training pipelines become a fraction of that cost. Storage infrastructure built over decades becomes optional. The economics of AI change completely.

MENTI
The Continuous Learning Engine

Retraining from scratch — a billion-dollar operation for leading labs — is eliminated entirely. MENTI layers new knowledge continuously, with zero forgetting and zero degradation. What required a full expensive rebuild now requires nothing. The savings compound with every single update.

Neither works at this level without the other. Both are patent protected. You cannot replicate both without violating our IP.


What Changes
Training Costs
The largest single expense in building frontier AI drops by orders of magnitude. VIVERE compresses what needs to be processed. MENTI eliminates the need to do it again.
Storage Infrastructure
The global cloud infrastructure built to hold AI data becomes a fraction of its current size. At scale, the need for traditional storage fades entirely.
The Update Cycle
Deploying new knowledge into an AI model goes from a months-long, multi-million dollar rebuild to a continuous, lightweight process. The entire update economics of AI are rewritten.

Proven Results
0
VIVERE Compression
Scales exponentially with data size. At scale, traditional storage is optional.
Zero
MENTI Forgetting
Sequential learning across 10 domains. Nothing lost. Everything compounds.
Proven
In Live Demonstration
Full Wikipedia pipeline. Real data. Real results. Demo-ready.

The Team
Tony Tello
CEO / Founder
Serial entrepreneur & co-inventor.
Ryan Wilcox
COO
Seed investor & operations.
Sean Jones
CTO
Ex-Anthropic Red Team (External). Architecture & infrastructure.
Noah Scott
VP, Fundraising
Investor relations & partnerships.
Richard Aragon
Lead Dev / Inventor
Ex-Apple (#5000, Steve Jobs), Intel, IBM. 24+ yrs.
Traction & The Ask
What We've Done
  • 2048× compression — demonstrated on 71 GB Wikipedia
  • Zero forgetting across 10 domains — proven in live demo
  • Two patent-pending technologies (VIVERE + MACSL)
  • Self-funded to proof-of-concept ($500K)
  • NVIDIA Inception & AWS Startups member
  • IAMAI Labs generating services revenue now
  • Own LLM development underway
Series A
Equity Raise

Companies that license foundational technology — ARM, Dolby, Qualcomm — are valued in the tens of billions. We are financially stable through SaaS and patent licensing. Your investment goes straight into building our own LLMs, hiring engineers, and shipping My Mori and Mori Pro.