Traction

The work is already out the door.

One signed proposal in the insurance sector and a cross-sector pipeline of proposals and applications — across more than ten sectors. The remarkable part: most of these documents were produced by the agentic company itself.

1
signed proposal
insurance · public tender
11
distinct sectors
in the applications pipeline
13
applications generated
by the company's engine
4
commercial proposals
1 signed · 3 in progress

An honest read: one proposal is signed; the rest are award-pending or in preparation. The figures shown are from proposals or applications, in the states indicated, and do not constitute realized revenue.

Anchor cases

Four proofs, four sectors

Real clients, presented generically by sector. Each card states the exact status.

Insurance · African market
Signed · 08/2025

CRM and AI for a national insurer

Modernization of commercial and customer-relationship processes: CRM core, AI automation engine, contact center, and client app. Submitted and signed under a public tender.

  • ≈ €245k (closed price; 18.47M meticais at the document's exchange rate).
  • > 50% reduction promised in average handling time, with AI 24×7.
  • Recurring support proposed: tens of thousands of euros per year.
Education · private schooling
Final version · award pending

AI control tower for a group of schools

Process digitization, agents and orchestration, family CRM, a 24/7 assistant, and a pedagogical component with an AI tutor — within a school-transformation application.

  • €182.2k in the AI and application layer (€372.9k overall project).
  • Merit score 4.5 awarded to the application.
  • Two schools in scope, with adoption and training included.
Communications · creative agency
Application · AI for SMEs

AI-powered multilingual creative production

Adoption of orchestrated generative AI — copywriting, editing, and PT/EN/ES translation, omnichannel chatbots, and proposal automation — to scale production without raising fixed costs, under a public incentive.

  • 30–50% less production time as the central target.
  • SLA ≥ 95% within 48h; availability ≥ 99.5%.
  • In-house brand from the ecosystem (BrandForge · AutoGPA) applied to a real client.
Education · public schools
Partnership · Phase 2

EdTech licensing to the public sector (AppyBrain)

An educational product from the ecosystem positioned as software + implementation + licensing for municipalities, with the entire commercial and documentation layer generated by the agentic company.

  • Partnership model: activation fee + dossier per entity + 8% success fee.
  • Reference envelope per school in the order of tens of thousands of euros.
  • Financed growth path anchored in public programs.
Pipeline · AI for SMEs

Thirteen applications, eleven sectors — generated by the machine

A deliberately cross-sector funnel of applications to public AI incentives (PRR and PT2030). Each dossier was produced automatically by the company's engine — the best proof of the product is watching it sell itself.

SectorAI useNote
Digital healthAgent-run post-discharge clinical follow-upscale-up incentive · TRL 6→8
Food retailForecasting demand, stockouts, and queuesbudget ~€250k
Community pharmacyDemand, stock, and 24/7 operations
Commercial real estateDue diligence and asset scoring
Cultural and creative sectorBudgeting for exhibitions and museography
Fitness / wellnessFunnel optimization, CAC/LTV, and churn
Executive coachingPreparation, reporting, and consolidation
Management consultingCodifying tacit knowledgein-house brand
IT / AI-as-a-serviceAI platform accessible to SMEsbudget ~€200k

A sample of 9 of the 13 dossiers. Figures shown only where they appear in the document; most applications don't set an amount. Distinct instruments (PRR and PT2030) are not summed.

Cliente acompanha o trabalho no telemóvel
The proof within the proof

The product sells itself

These proposals and applications weren't written by hand, one by one. They were generated by the same engine we sell — the "proposal" path working under real conditions.

  • Near-zero marginal cost to produce one more quality dossier.
  • Cross-sector coverage — the same engine serves healthcare, retail, culture, or insurance.
  • The client follows along in plain language, on their phone, at every step of the work.

A pipeline like this, at the marginal cost of compute.

This is what changes the economics of a services company. Let's talk about what comes next.