With your permission, we use analytics cookies to understand what is useful and improve your experience. You can browse normally if you decline, and change your choice in the footer at any time.

Privacy policy
Skip to content

A NEW CHAPTER

Magical is now backed by Shiva.

Shiva, founded by Lucas Marques, former COO of Méliuz, invests in companies built with artificial intelligence. We share a vision: turning the potential of AI into real results for every client.

Shiva

Venture capital
Founded by Lucas Marques

BEHIND SHIVA

MonasheesEndeavor Catalyst

Leading funds that invest in Shiva.

Read in Brazil Journal

AI applied to construction

Reduce rework across fieldwork, costs and schedules.

Free up team capacity and control costs and deadlines with less rework. Magical connects field records, measurements, reports, procurement and contracts so decision-makers receive information without repeated transcription.

Magical Applied AI consulting for Construction Brazil

Concrete structure and materials at a construction site

Evidence

In the 2025 survey of 120 executives, 71% cited labor shortages, 48% interest rates and 37% material and service costs.

Source: CBIC/Falconi

Operational workflow

04 / Construction

  1. Budgeting
  2. PurchasingProcurement exceptions surface too late
  3. Construction siteField teams enter information twice
  4. MeasurementProgress measurements arrive without context
  5. Delivery
  6. Support

Where operations lose margin

Field teams enter information twice

Photos, checklists and notes must be transcribed to become reports.

Signal: Time lost after inspections and data-entry errors.

Progress measurements arrive without context

Physical progress, contracts and payments do not align in one discussion.

Signal: Manual checks and discrepancies by cost center.

Procurement exceptions surface too late

Over-budget orders or delayed materials affect the schedule.

Signal: Email follow-up and controls that depend on memory.

Where we start

Related experience

Projeto em destaque · Construction

Engape Engenharia

Automated inspection reports freed operational capacity to take on major clients.

>90%

less report time in the 240-unit project

View the case study for Engape Engenharia

How we turn an opportunity into results

  1. 01

    Understand the operation

    We interview decision-makers and operators to map processes, data, exceptions and costs before suggesting tools.

  2. 02

    Choose where to start

    We prioritize an opportunity by expected return, feasibility and risk. We agree on responsibilities and how to measure results before starting.

  3. 03

    Put it to work

    We implement, monitor real usage and measure process changes before expanding the portfolio.

Governance from the first workflow

Frequently asked questions

Does AI replace the engineer's validation?

No. It reduces transcription, organizes evidence and prepares analysis; technical acceptance, progress measurement and responsibility remain with the designated professionals.

Does it work in the field without a signal?

When required, the solution can record data offline and synchronize later. This is treated as an operational requirement, not an interface detail.

Where should we start?

Inspections, reports, progress measurement and procurement are good candidates when there is volume, repetition and a initial measurement for time or errors.