Updates for investors.

Material progress, new documents, and milestones, published as they happen. Investors at the right tier are notified by email.

In the live platform, the admin posts an update, optionally attaches a document, sets the minimum tier, and chooses whether to notify investors. Notification sends, opens, and downloads are tracked.

A new computing and data layer is being forced. The region has none.

Three forces are converging at once. Each alone would create demand. Together they create a category, and there is no regional operator to serve it.

The gap

The answer is not one product. It is a stack: sovereign micro datacenters and GPU clusters to hold the compute, Small Language Models the client owns, post-quantum security native to the substrate, and quantum acceleration as the differentiation wedge. No hyperscaler, consultancy, pure-play quantum vendor, or telco offers all four in the region. TQA is built to be the operator that does.

Regional by architecture, from day zero.

Not a national company expanding outward. A distributed network of sovereign hubs where no single market is load-bearing and the playbook replicates jurisdiction by jurisdiction.

The two-entity architecture

The structure is deliberate. TQA carries the regional infrastructure mandate, the sovereign contracts, and the exclusive IonQ hardware anchor. An AI delivery layer (QuantOS) converts that hardware and infrastructure into enterprise outcomes. Alignment is structural, not transactional: the delivery layer holds 10% of TQA. Same operating leadership, overlapping engineering bench, one regional thesis.

A network, not a flag

TQA is regional from the first day, by design. The commercial pipeline spans eight countries and is not concentrated in any one of them: government anchors are advancing in parallel across Buenos Aires, Neuquén, Bogotá, Montevideo, the Panama Canal, and more, with enterprise demand across banking, energy, mining, and logistics throughout the region. No single market is the company. That dispersion is the de-risking feature: the thesis does not depend on winning any one jurisdiction.

Place in the global shift

The world is re-regionalizing compute. Sovereignty, latency, and regulation are pulling infrastructure closer to where it is used. Latin America is the largest underserved surface for that shift and has, until now, lacked a sovereign-grade operator to absorb it. TQA is built to be that operator, with a hardware anchor and an AI delivery layer already in place. Every hub deployed increases sovereign control, reduces competition, and compounds demand across the network.

A structural opening, not a speculative one.

The largest underserved advanced-computing surface in the Western hemisphere, opening exactly as sovereign demand arrives.

The opportunity, sized

Regional cloud and datacenter growth

Sovereign capital is already committed

The empty quadrant

Pure-play quantum companies sit at one extreme; global hyperscalers at the other; tier-one consultancies front-end someone else's cloud. None is a regional, sovereign-grade, hybrid-compute operator that owns the infrastructure, the security layer, and the quantum anchor together. That quadrant is empty, and it is where TQA sits. It is also why the right comparable cohort is hybrid compute and sovereign AI infrastructure, not pure-play quantum.

Infrastructure is control. Four compounding layers.

Owning the layer means owning the demand. Sovereign infrastructure earns the right to deliver solutions; solutions generate the IP to productize platforms; platforms produce the research to license. Each layer is structurally more profitable than the one below it.

The four-layer architecture

Y5 revenue by layer. Layer totals are an architectural grouping; the P&L total ($1,097M) differs because hardware resell and other items span layers. Progression: Entry (government and infrastructure) to Expansion (compute, access, software, security) to Domination (sovereign data environments and high-margin licensing).

Revenue mix shifts as the network scales

The seven streams underneath

Unit economics, not extrapolation

Pricing rests on unit economics and a hybrid-compute and sovereign-AI comparable cohort, not a Year-5 DCF and not pure-play quantum peers. The model is built bottom-up from the seven streams and a headcount-driven cost base. The first contracts prove the unit; the raise scales it; the cohort calibrates the price.

The right cohort: hybrid compute and sovereign AI.

TQA is an advanced-computing operator, not a pure-play quantum company. The comparable set is the cohort building owned compute and sovereign AI infrastructure. Here is the category, how it is valued, and where a $250M post-money seed sits within it.

The category and its current marks

Figures from public filings and reported rounds as of June 2026; private valuations are last-round marks. TQA's exclusive IonQ hardware partnership is covered under Traction, not here: quantum hardware vendors are not the right valuation cohort.

Why these, and why TQA belongs

Each of these companies monetizes owned advanced-compute capacity, and the strongest marks attach to those that pair it with a sovereignty thesis. CoreWeave and Nebius show the public-market value of operator-grade AI compute at scale (Nebius at roughly 74% gross margin anchors the margin curve TQA targets). Crusoe and Nscale show that infrastructure-first AI buildouts command double-digit-billion private marks. Mistral, Cohere, Sakana, and HUMAIN show that sovereign and regional AI champions are funded as strategic national assets. TQA is the operator that combines owned regional infrastructure, an owned-model (SLM) layer, native post-quantum security, and an exclusive quantum anchor, in the one large region where none of these players operates a sovereign footprint.

Where $250M sits: three independent lenses

The three lenses converge: $250M post-money sits just above the replacement-cost floor and in the lower third of where the comparable cohort prices at this stage. The round is calibrated, not aspirational.

Interrogate the model.

Revenue compounds from $10.2M to $1.10B over five years at a 61.5% Year-5 operating margin. The business turns operating-positive in Year 2. The only tight moment is a deliberate Year-1 cash trough that the round covers.

What drives the model

Downloads · Tier II

Contracted or in motion. Across the region.

An exclusive hardware anchor, $8.5M of Year-1 revenue already contracted, and a $112.5M pipeline of 42 leads spread across eight countries.

IonQ partnership · the unfair advantage

Sovereign & government pipeline

Enterprise & O&G pipeline

Pipeline at a glance

Regulatory & ecosystem

Post-quantum-cryptography engagements are open and active with the region's central-bank and financial regulators. These are active regulatory engagements on PQC standards, not co-authorships. Ecosystem relationships across delivery, cloud, and research are engagements in development, framed as such, not as signed partnerships.

One orchestrator over three substrates.

Micro datacenters, AI GPU clusters, and quantum nodes, with an AI delivery layer turning them into enterprise outcomes and post-quantum security native to the substrate.

The orchestrated stack

Why a client-owned SLM is the sticky asset

Small Language Models are built, fine-tuned, and operated inside the client's sovereign hub on their proprietary data, with no risk that the data trains external Large Language Models. The client owns the model and the iteration loop. Above roughly 11B tokens per month of usage, owning the model beats paying frontier-API rates; large regional banks and energy operators are already well past that threshold. The owned model retains the cluster and the infrastructure contract for years.

Five research lines, IP value in Years 4 to 5

Maturity, stated honestly

The hardware path is contracted through the executed IonQ term sheet. The AI delivery layer is deployed and at an early commercial stage, and is described as such. Quantum is positioned as a selective accelerator for combinatorial-optimization problems, not as a mature standalone revenue line. Credibility comes from precision about what is built, what is contracted, and what is ahead.

Operators who have run scale.

This is an operator being funded, not a research lab.

Leadership

Hiring roadmap

46 to 1,575 FTE across five years, with 1,000+ professionals committed over three years inside the anchor contract scope. Engineering bench trained at Stanford, MIT, and ETH, operating at meaningful cost efficiency versus US and EU equivalents.

Clean structure. Honest risk.

Delaware C-Corp parent with a regional holding being built with established counsel.

Corporate structure

Operating subsidiaries planned across multiple regional jurisdictions. The AI delivery layer holds 10% of TQA as a structural alignment. IP is held at the parent across the five research lines, on a Year 4 to Year 5 commercialization timeline managed with Perkins Coie. Equity sits in the US entity; contracts are USD-denominated where possible.

Risk factors

Every claim, one click from its source.

Categorized, tagged, version-stamped, and linked back to the section it supports. Mirrored from the Drive data room.

In the production build, downloads are watermarked with investor identity and timestamp, bulk export is disabled, and visibility follows the investor tier. The AI delivery layer's standalone economics are excluded from the corpus entirely.

An analyst who has read every document.

Grounded answers from the indexed corpus, with citations. It only tells you what the documents support.