Freeman Constructs

Freeman Constructs

Tenfold AI Accelerator

0.00×
performance @ only 47% utilization vs best published results

FPGA silicon proof • Major efficiency breakthrough • Zero accuracy loss

A Silicon Gap Has Opened

Custom chips will out-compete massive GPU clusters long-term.

30%
CAGR (compounding)
$300B+
by 2030

2025 baseline: $200B+ data-center AI equipment spend | $30B+ accelerators.

Proven Silicon → Scaled Hardware

From validated design to production-ready ASIC

Tenfold
GPU-based
Performance per Watt
Cost per Work
Accuracy at Scale
Validated on AMD Versal 80, using Pythia-12B and confirmed on Nangate45
FPGA ValidationComplete
2026
First ASICEarly investors unlock this

Advisor Team with Silicon Pedigree

Leaders who have shipped silicon at advanced nodes

Silicon Advisory Team

Advanced Node Experience

Shipped silicon at advanced nodes.

We are speaking with a small number of senior advisors with 3–5 nm tapeout experience · light commitment, meaningful equity.

Fix Energy → Huge Reward

A historic opportunity for visionary investors

annual energy savings per 1 GW datacenter
“A historic opportunity to close the silicon gap. Unprecedented returns for those who see it first.”