Paid assessment
Agreed system and scope, structured evidence, findings, report, and remediation discussion.
Commercialization pathways
MT Tech is in early commercialization. The appropriate entry point depends on what must be proven: buyer value, software workflow, physical validation, or strategic IP fit. Detailed technical material remains controlled.
Revenue / customer-validation lane
The current lead commercial hypothesis is a defined AI Integrity Assessment rather than an assumed full SaaS sale. A first engagement can establish target scope, assessment workflow, report usefulness, remediation value, delivery effort, and willingness to continue paying.
Agreed system and scope, structured evidence, findings, report, and remediation discussion.
A bounded early engagement with shared KPIs and explicit product-learning goals.
Recurring assessment, API/software access, or licensing only after the first workflow is externally validated.
R&D / sensing-validation lane
This lane requires evidence that software packaging alone cannot create: representative data, physical capture provenance, field performance, false-positive characterization, and prospective domain validation. The appropriate conversation is therefore a research, design-partner, sponsored-development, or non-dilutive validation engagement.
Alternate B2B route
A qualified organization with a defined security, privacy, facility, or research problem may create a higher-value evaluation opportunity. The public position remains bounded to implemented software and validated physical paths; unvalidated sensor modes are not marketed as finished capabilities.
Filed IP
MT Tech has five U.S. patent filings: one non-provisional application and four provisional applications. A filing is not an issued patent and is not a market-readiness claim. Field-of-use, joint-development, or strategic licensing conversations require a defined asset, disclosure boundary, and written agreement.
19/560,051
63/999,270
64/029,363
64/029,394
64/030,975
Revenue-oriented test of a defined buyer problem and workflow.
Evidence-producing deployment with explicit success criteria.
Dataset, field, or domain validation where stronger claims require external evidence.
Field-limited or strategic licensing after scope and evidence are understood.