Lattigraph
A read-only semantic and context layer for one regulated professional vertical at a time that lets authorized staff ask plain-language questions over whitelisted institutional data, compiles them into policy-constrained query plans, displays calculation and source coverage, and signs a bounded answer manifest while keeping user question, identity and purpose, semantic definition, query plan, source snapshot, computed result, generated explanation, professional review, client or patient communication, examiner assessment, correction, and business outcome separate.
Regulated firms want plain-language access to institutional data, and the supplied research confirms both agentic BI products and open semantic-layer query agents. Lattigraph's gap is role-scoped provenance and examiner export, not text-to-SQL itself. A whitelist and parser reduce risk but do not make a query physically incapable of escape; database permissions, tenant isolation, query budgets, network controls, and output filtering remain necessary. A signed receipt proves which approved definition and source snapshot supported the result, not that the data was complete, the metric was correct, the explanation was professional advice, privilege was preserved, or a regulator, court, client, or clinician accepts it.
A data, operations, compliance, practice-management, or knowledge leader at a regulated professional firm, beginning with one vertical such as an RIA, law firm, or specialty medical group rather than all three.
Recent regulated-professional AI activity and agentic BI adoption create current demand.
Professional-firm operations and compliance owners have a named access and examination problem, subject to choosing one vertical.
Four cross-references, three inbound connections, and four direct connections show strong governed-data convergence.
The source confirms live agentic BI products, a commercial semantic layer, an open semantic query agent, strong graph activity, and no supplied product combining a regulated-professional workflow with signed answer manifests.
The three proposed verticals have incompatible duties, text-to-query is crowded, provenance can be overclaimed, semantic setup is services-heavy, privacy and privilege risk are high, and no structural copying cost is proven.
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