Explore an AI venture diligence workspace on MindCapital.si, with evidence registers, committee decisions, confidentiality controls and clear regulatory boundaries.
Investment Research Software, Not an Investment Offer
MindCapital.si could host software for venture researchers or family offices evaluating AI businesses. It would organize claims, evidence, unresolved questions and responsible reviewers from screening to a documented committee decision. The product would not decide how anyone should invest or present the domain as an operating fund.
.SI is officially Slovenia's country-code top-level domain. Intelligence readings are creative branding. A hypothetical licensed fund would be a separate undertaking with fundraising, authorization and governance obligations. Owning a domain or providing research software confers none of those permissions.
Build an Evidence Map for Diligence
A company record could combine financing history, checklists and a claim register. Every material assertion would include its originating document, observation date, reviewer and status. Founder claims would remain distinct from independent technical assessments. Missing information should stay an open question rather than being filled by generated text.
AI-specific templates could examine training-data rights, model dependency, inference costs and evaluation methods. Accounting or legal specialists would still assess underlying documents. A well-organized workspace cannot establish that a technology works or that management disclosures are complete.
From Intake to a Committee Packet
An analyst could upload an authorized deck, record mandate fit and conflicts, and assign technical, commercial and legal tracks. Before circulation, the packet would identify unresolved questions and distinguish management assertions from reviewer conclusions. Committee members could record dissent and conditions rather than relying on an opaque score.
Scenario worksheets might explore dilution or follow-on requirements using explicit assumptions. They would be research illustrations, not recommended allocations. The MindFinance.si research concept differs by focusing on financial evidence rather than opportunity-specific committee accountability.
A Testable MVP With Human Approval
One team, one template, a claim register and exportable packets could form the initial release. Automated sourcing, execution and custody would stay outside scope. AI could suggest questions and summaries, but reviewers would approve material statements with page-level citations.
Synthetic or authorized historical cases could test citation accuracy, contradiction detection and reviewer corrections. Packet generation could stop when mandatory checks remain incomplete, with an explicit documented exception available only to an authorized reviewer. The objective would be reproducible evidence handling, not prediction of investment success.
Confidentiality Across Derived Records
Diligence files may include cap tables, trade secrets and personal information. Tenant isolation, sharing expiry and model-provider contracts must cover summaries, exports and search results as well as source documents. Uploaded materials should not become training data by default.
The MindSecurity.si governance concept offers related access-review ideas without implying integration. Staff would need correction procedures, restoration tests and incident plans. Legal review would address data licenses, confidentiality and potentially material nonpublic information; technical availability does not justify collection.
Commercial Models and Regulated Boundaries
Workspace subscriptions and paid template implementation could be possible models. Charges based on teams or governed rooms would avoid implying payment for successful investments. Sponsored placements would require disclosure and separation from diligence conclusions.
Personalized recommendations, fundraising, allocation or custody could trigger jurisdiction-specific obligations. Qualified partners and legal review would be necessary before expansion. The brandable-name guide and MindCapital.si listing provide separate naming context. Neither a structured packet nor the domain proves suitability, demand or returns.