NEOMORPHIC targets the economics of storage, transmission, inference memory, and dependable AI—then scales through the platforms that already reach the world.
$39.3M net income target in the first 12 commercial months.
Built from enterprise, operator, implementation, and proposed platform licensing scopes.
A distinct global-IP scenario—not revenue added to the management lead case.

Target the cost and usefulness of storing data, moving it, loading it into memory, and recovering the evidence an AI application needs.
Storage · transmission · inference memory · dependable AI
Open product thesis
Worldwide IT, data-center systems, memory semiconductors, and physical infrastructure establish the environment. Customer economics determine what can be licensed.
$6.317T worldwide IT spending forecast · overlapping markets are not summed
Open market evidence
Begin with paid evaluation and matched benchmarks, convert proof into contract rights, then expand through covered devices, deployed runtimes, and renewals.
Prospective targets · proposed terms · signed scope controls execution
Open go-to-market
Forty sections connect the product, required evidence, customer economics, competition, licensing, execution, risks, and financial assumptions.
Lead case and global-IP expansion remain separate
Open business plan
The management lead targets $155.0 million in Year 1, $611.7 million in Year 2, and $1.6049 billion in Year 3, with positive Year-1 net income.
$39.3M Year-1 net income target · projections, not achieved results
Open financials
A separate global-IP expansion case reaches $5.22 billion in Year 3 and $47.34 billion in Year 10. It replaces the original OEM/SDK line from Year 2; it is not added to the lead case.
Separate scenario · 120 monthly periods · proposed cohorts
Review expansion case
The seed funds core R&D, computing, enterprise engineering, independent validation, pilots, security and IP, sales, and reserve.
$7M R&D · $3M compute · $3M enterprise engineering · $2M validation
Open use of funds
Internal measurements remain tied to their exact workload. Customer acceptance requires matched, independently reproducible tests and clearly defined success criteria.
Historical internal evidence · not a production SLA
Open benchmark evidence
All forecasts are management-target scenarios. Named technology companies and sovereign programs are prospective targets—not signed customers, partnerships, bookings, or committed capital. The management lead and global-IP expansion cases are alternatives, not additive forecasts.
$20 million is an ask. Named companies are prospective targets. Forecasts are management scenarios.