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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

Systems designed around the real workflow

Custom AI solutions

Systems that keep up with business rules and growth.

When spreadsheets and existing systems limit results, we build a solution around your company’s process. We bring data, rules and decisions into a system that gives management visibility and teams more capacity, using AI where it adds value.

At Grupo Minori, claims auditing moved from spreadsheets and e-mail to a platform with steps, profiles and an executive dashboard, with R$400,000 a year in projected savings. See the claims-investigation platform.

Freight quote with margin check. Application example with demonstration data.

When a custom solution makes sense

Complex commercial rules

Price, cost and margin depend on many variables, partners and taxes, and the calculation lives in spreadsheets run by a few people.

A process without a suitable system

Audits, approvals or analyses move through spreadsheets and email, with each person applying their own method.

A legacy system at its limit

The current platform cannot keep up with data volume or the expansion of the operation.

If the current systems work and the problem is moving data between them, see AI process automation.

What Magical delivers

A system designed around the workflow

Steps, access profiles, business rules and dashboards that mirror the operation, instead of adapting the operation to a generic product.

Legacy system modernization

Evolving existing systems to support data processing and the expansion of the operation.

AI where it adds value

AI components are used when they solve a step in the workflow. The core can be an explicit rules engine, and a pilot in one workflow comes before expansion.

Custom solutions in published projects

Logistics · RBR Transportes

At RBR, a quote that took about 30 minutes in spreadsheets is now generated in seconds, with costs and margin calculated in the same workflow.

The result refers to quoting in the custom TMS, which follows explicit commercial rules. It does not mean the whole system is an AI agent.

Insurance · Grupo Minori

At Grupo Minori, the claims audit moved from spreadsheets and email to a platform with steps, profiles and an executive dashboard, with projected savings of R$ 400 thousand per year.

Agribusiness · Exata Agricultura

At Exata Agricultura, modernizing the legacy system brought georeferenced maps and field indicators together in a single platform for monitoring plots and crops.

The team gained visibility into more than 3,000 plots across over 700 farms, with consolidated data accessible in real time.

Integration, limits and human review

The starting point is a business problem in a specific operation, not generic custom software development. In some projects the gain comes from well-implemented explicit rules, and AI enters only where it solves a step of the workflow. Timeline, investment and the terms for the delivered solutions and documentation are defined in each project's scope.

Published projectSolutionRules and data
RBR TransportesCustom TMSCubic weight, taxes, fees, commission and margin, comparing partners for pickup, transfer and delivery
Grupo MinoriWeb platform for claims investigationSteps, role-based profiles, claims audit rules and an executive dashboard
Exata AgriculturaGeoreferenced platform on a modernized legacy systemMaps, indicators and field data by plot and by crop

Integrations with existing systems are assessed in each project, before they enter the scope.

Data, profiles and access

Who sees and changes each step, with profiles defined by role and the history of records preserved. Sources, vendors, hosting and retention are defined in the scope before any sensitive data is shared. Data is used only for the contracted project, never to train models for other companies; access is limited to what the project needs and personal data is handled in accordance with the LGPD.

Explicit business rules

Prices, taxes, margins and approval criteria are documented and validated by the responsible area before they enter the system.

Exception approval

Situations outside the rules, such as a margin below the defined minimum, require review by a person with the defined approval level.

Data, decisions, evaluation and continuity are also covered on the AI implementation page.

How a custom project starts

Every service starts with a conversation about your operations. For a custom solution, the conversation identifies the workflow where a spreadsheet or the current system most limits results. The pilot covers that workflow before any expansion.

Questions about custom solutions

When is it worth building instead of buying off-the-shelf software?

When adapting the operation to the product would cost more than designing the system around the process, or when business rules do not fit the available configuration options. The comparison considers cost, vendor dependency and what the team can maintain, and it happens before the scope is defined.

Does a custom solution need to include AI?

No. AI is considered in the design, but it is only used when it solves a step in the workflow. In some projects, the main gain comes from explicit rules, organized data and a well-defined workflow.

Can we start with one part of the system?

Yes. The pilot covers a defined workflow, such as quoting or one stage of an audit, and the rest of the system is evaluated based on what was observed. This reduces the risk of building features the operation does not use.

Is your system limiting results?

Tell us where your current tools fall short. We’ll assess what is worth integrating, improving or building.

Talk to a partner

Tell us your business priority. We’ll get in touch to understand the context and assess the opportunities.

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