Profil · Manufacturing
Up to 72 hours → minutes
From a signed order to its handoff to production. A custom solution built by Magical connected CRM records, quotes and orders.
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Privacy policyWe identify opportunities to reduce costs, protect margins and grow revenue. We prioritize those with the strongest return potential and implement AI solutions to put them into practice.
Selected projects
Up to 72 hours → minutes
From a signed order to its handoff to production. A custom solution built by Magical connected CRM records, quotes and orders.
About 30 minutes → seconds
To generate a freight quote, with costs and margin calculated in the same workflow. Compared with the previous manual spreadsheet process.
More than 90% less time
Generating inspection reports. Automation freed up the team's delivery capacity.
Companies already working with us
Experience you can explore.

R$400k/year
in projected savings from the new workflow
Less rework in claims, with projected annual savings of R$400,000.
View the case study for Grupo Minori
1 month → 2 hours
for repeating a literature review
A month-long review repeated in two hours, freeing the director for formulation and testing.
View the case study for Grupo DND
700+
farms monitored in one platform
Real-time access to field data to guide crop management across more than 700 farms.
View the case study for Exata AgriculturaThese results come from specific projects. Each operation's scope and performance measures are assessed separately.

Less effort on repetitive tasks.
More time for what grows your business.
We bring your business information and rules together so your team can make decisions without searching across systems, documents and conversations.
AI agentsWe automate repetitive tasks to reduce rework and shorten the time from request to delivery.
Process automationYour team tracks delivery, reviews exceptions and measures results to adjust operations with confidence.
Custom solutionsTogether with your team, we define how data, access and solutions will be managed during the project and after delivery.
We identify where costs, margin losses or commercial opportunities are limiting results. Together with your team, we select a priority that can be put into practice.
We assess impact, feasibility, data and risks to define an initial project. The pilot needs an owner, a defined process and clear evaluation criteria.
Pilot results guide the next step: adjust, expand or stop. Expansion considers what worked and what each additional team needs.
We include training when it helps the team use the solution in its daily work.
The conversation starts with our partners and the people who know your operations. We connect an understanding of the problem with the work of implementation.
Magical implements AI solutions for large companies. We identify opportunities to reduce costs, protect margins and grow revenue, and develop agents, automation and systems to put them into practice. Our published projects describe the context and work delivered.
We build solutions across three areas: AI agents for enterprises, AI process automation and custom AI solutions. We are a services company: we adapt technology to business needs, connecting existing systems or building what is missing. Data, access and review points are agreed with your team.
We work with large companies across different industries. We start with the complexity of the business and the opportunity to improve results, with a team responsible for following the project.
With a conversation with the partners about your company’s priorities. We assess impact, feasibility and data to choose an initial project with a defined goal, owner and success criteria. Pilot results guide the decision to adjust, expand or end the initiative.
We assess how to connect the solution to your existing systems. Compatibility depends on available access and data exchange methods, and is checked before defining scope. At Profil, we connected CRM records, quotes and orders through the handoff to production.
Magical uses company data only to deliver the contracted project: the data remains the company's property, is not used to train models for other companies, and is never shared with other clients. Access is limited to the people and systems the project needs, and personal data is handled in accordance with Brazil's LGPD. Before any sensitive data is shared, each project's scope defines the data sources, access, vendors, hosting and responsibilities. When the contract ends, or whenever the company asks, the data is returned or deleted, except where the law requires it to be kept.
Your company defines action and approval boundaries. We agree on which actions the solution can perform and when a person takes over. Commercial terms, discounts and other sensitive decisions follow the rules and authority levels approved by your company.
The proposal considers the selected process, data, integrations and support required. Timeline and investment are defined before the project begins.
Talk to a partner about opportunities to reduce costs, protect margins and increase capacity.
Tell us your business priority. We’ll get in touch to understand the context and assess the opportunities.
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