What is inside a Unum11 report?

Digerati Technologies, Inc. operates inside a market context that the research corpus could only partially resolve. The Macro & Market Research Agent returned a full DOCUMENTED_GAP across all 21 macro fields attempted — no macroeconomic conditions, no consulting-bible framing, and no public-company pattern library could be retrieved, because the corpus surfaced pages for an unrelated Algerian entity (Digerati, SARL, digerati.dz) rather than the San Antonio, TX filer.

The first chapter opens by naming its own biggest research failure, and names the cause. Most reports would have quietly written around this.

The simulation engine ran 2,046,200 simulated decisions across 40,200 agents and produced a purchase rate of 28.98%, a defer rate of 22.34%, and a competitor rate of 48.68% CREDIBLE_ESTIMATE. Every dollar figure that follows is a model hypothesis derived from the resolved annual revenue of $31,623,000 VERIFIED — it is not a reported number from the 10-K.

The chapter separates what was measured from what was modelled in its own opening paragraph, then holds that line for 1,194 words.

49% of the 40,200 simulated agents chose a competitor, citing "low switching cost, high quality preference" CREDIBLE_ESTIMATE. The model assigns this lever a 32% probability of success and a +$2,327,453 annual revenue uplift (7%) CREDIBLE_ESTIMATE. The risk of inaction is concrete: every quarter that Digerati leaves this gap open, it forfeits roughly $580,000 of addressable revenue.

Six actions, ranked by expected value per unit of execution risk, each with an explicit cost of doing nothing drawn from the same simulation that motivated it.

The buyer base for Digerati Technologies, Inc. is not a consumer mass; it is a small, named set of institutional stakeholders whose decision logic is dominated by switching cost, contract structure, and platform fit rather than brand affinity. The simulation-derived psychographic mix allocates the addressable stakeholder pool across four cohorts: Enterprise CTO / Data Leader at 41.7%, Government & Defense Procurement at 33.3%…

Entity scale drives this chapter. A B2B enterprise filer gets institutional cohorts, not consumer segments — and getting that wrong is its own graded rubric category.

The headline revenue figure is $31,623,000 for fiscal year ended 2023-07-31 VERIFIED, sourced from the company's 10-K filing on SEC EDGAR (CIK 0001014052). What makes that figure strategically interesting is not its absolute size but its trajectory: revenue grew from $12,416,000 in FY2021 to $24,154,000 in FY2022, then to $31,623,000 in FY2023 VERIFIED.

Financial spine pulled from SEC XBRL company facts, with the CIK and fiscal period attached to the number rather than to an endnote.

Of 40,200 simulated agents, only 28.98% chose Digerati Technologies, Inc., 22.34% deferred, and 48.68% chose a competitor. The churn narrative is harsher still: 32,956 of 40,200 customers churned (82.0%), with price cited by 79% of defectors and quality by 45%.

Sequenced actions with owners, metrics and catalysts, tied back to the specific simulation result that motivates each one.

This chapter is the audit trail. It states plainly what the report rests on, what it does not, and what a reader should therefore refuse to conclude. The strategic-advisor voice is no use if the underlying evidence is hidden, so the gaps are listed, not softened.

A full chapter — 1,036 words — devoted to what the report cannot support. This is where the 34 DOCUMENTED_GAP markers are collected and explained.