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Venture capital & AI investment

From 10 to 500+ employees, fully managed for twelve years

One of Brazil's largest AI angel investors, a leader in its segment.

Scale
From 10 to 500+ employees, 3 buildings
Engagement
12 years (2013–2025)

The challenge

Hyper-growth: a ten-person team became an organization of more than 500 people across three buildings, and the technology had to scale ahead of every hire.

Growth of this kind breaks ordinary IT. Each new floor, building and hire needed the same standard of network, security and support as the original office, which meant designing for the organization it would become, not the one it was.

The project also included a concept innovation building inside a major hospital complex, an environment where reliability and access control carry extra weight. Twelve years of continuous service is the measure that matters.

What our team delivered

  • Full deployment of all software and hardware across three buildings
  • Access control, cameras and alarm systems
  • A concept innovation building inside one of Latin America's largest hospital complexes
  • Network, backups, security and help desk throughout

Result

Twelve years of fully managed growth, from the first office to a three-building operation.

AI email processing

Every email is read, sorted and either answered with a drafted reply or sent to the right person within seconds, and all of it is logged in your CRM.

AI email processingEach incoming email is picked up by a serverless edge worker and read by an AI model, which classifies it as sales, support, billing or urgent. Routine messages get a drafted reply; others are routed to the right person, such as a sales rep, the CFO or the CTO, and every message and decision is logged to the CRM.reply sentIncomingemailEdge workerserverlessAI triagereads andclassifiesSupportReplydraftedSalesSales repBillingCFObillingUrgentCTOurgentLogged to CRMevery message, every decision

Super Intelligence data flow

Every request is classified by sensitivity, so confidential data stays on models inside your walls while routine work can use the best frontier AI.

Super Intelligence data flowEmail, documents, phone calls, ERP and CRM records and sensor data enter a secure gateway that classifies each request by sensitivity. Sensitive requests are answered by local models inside the firewall, internal ones by a private cloud, and general ones by frontier models from leading US AI labs. Results flow back into ERP, CRM, dashboards and to people.SOURCESGATEWAYMODEL TIERSYOUR SYSTEMSEmailDocumentsPhone callsERP / CRMSensorsSecuregatewaysorts bysensitivityLocal modelsIn your firewallPrivate cloudYour own tenantFrontier modelsleading US AI labsERPCRMDashboardsPeopleSensitive: stays localInternal: private cloudGeneral: frontier model

Every sign-in, verified

Staff sign in once, but behind the scenes the device, the identity, a phone approval and your access policy are all checked before any app opens, and strangers are turned away.

Every sign-in, verifiedDiagram of user authentication. A user signs in; the device is checked for MDM and Intune compliance; the identity provider, Active Directory or Entra ID, verifies the account; an MFA push is approved on the user's phone; conditional access evaluates the policy; and access is granted to email, ERP and files. On a second pass, a sign-in from an unknown device in a new location is blocked by the conditional access policy. VERIFIED SIGN-INUserSigns inDevice checkMDM · IntuneIdentityAD · Entra IDMFA pushPhone approvalConditionalaccessPolicy checkEmailERPFilesUnknown deviceNew locationApprove?Blocked

Frequently asked questions

Direct answers to the questions we hear most. Something else on your mind?

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What did full deployment cover?

All software and hardware across three buildings, plus access control, cameras and alarm systems. Network, backups, security and help desk were included throughout. The case also covers a concept innovation building inside one of Latin America's largest hospital complexes.

How did the technology keep up with growth?

The organization grew from ten people to more than 500, and the technology had to scale ahead of every hire. We managed it fully for twelve years, from the first office to a three-building operation.

Who handled support?

The same team ran the network, backups, security and help desk throughout. The client dealt with one accountable provider for the whole period.

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