A good software house in Lavras should be selected based on evidence of production delivery, not only on a visual portfolio or commercial proposal. Evaluate executable code, architecture, security, deployment automation, monitoring, intellectual property, and the ability to maintain the system after launch.
What delivering software to a real production environment means
Production delivery is the moment when the software begins serving users, processing real data, and operating under concrete performance, availability, security, and support requirements. A navigable prototype, presentation, or repository containing code is not equivalent to a production system.
A real delivery typically includes:
- an application accessible in the final environment;
- configured and documented infrastructure;
- a database with backups and a recovery policy;
- domain, HTTPS, and certificate management;
- access control and credential protection;
- operational logs, metrics, and alerts;
- a repeatable deployment process;
- testing compatible with the system's risk level;
- architecture and operations documentation;
- a plan for support, fixes, and ongoing development.
For critical systems, the criteria must be even stricter. A healthcare platform, for example, may require traceability, interoperability through HL7 v2 or FHIR, access segregation, and appropriate handling of sensitive personal data. A CRM integrated with WhatsApp must account for queues, webhooks, duplicate events, consent, and continuity of customer service.
Why consider a regional software house
Hiring a company from Lavras or another nearby city can reduce communication friction and facilitate in-person meetings, understanding of the operational context, and implementation monitoring. Proximity, however, is only an execution factor; it does not replace technical maturity.
A regional software house should be evaluated according to the same criteria applied to vendors from anywhere in Brazil:
- ability to understand the business problem;
- technical experience compatible with the project;
- a verifiable development method;
- security and data protection practices;
- a track record of systems that have actually been released;
- transparency regarding costs, risks, and dependencies;
- ability to operate and evolve the solution.
The regional advantage emerges when these capabilities are combined with more direct access to the responsible team. The risk emerges when the decision is based only on price, personal recommendations, or location.
Evidence that should be requested before hiring
Demonstration of operating systems
Request a functional demonstration of products or case studies while respecting client confidentiality. Observe whether the system processes complete workflows, handles errors, and provides administrative screens, access profiles, and support mechanisms.
Useful questions include:
- Is the system in production, or is it only a proof of concept?
- How many environments are there: development, staging, and production?
- How does a change reach the end user?
- How does the team detect failures before a complaint is filed?
- What happens if the database or an integration becomes unavailable?
- Who is responsible for support after launch?
Repository, documentation, and traceability
The hiring company must know where the code will be stored, who will have access, and how intellectual property ownership will be handled. The contract should also define the delivery of documentation, infrastructure scripts, data models, and instructions for running the system.
Identifiable commits, code reviews, tickets linked to changes, and version histories are more relevant indicators than extensive reports with no connection to the delivered software.
Delivery pipeline
Ask how builds, tests, and releases are performed. A continuous integration and continuous delivery pipeline reduces manual operations and makes deployments reproducible. This does not mean automatically releasing every change: sensitive systems may require human approval before production deployment.
The minimum expected workflow is:
- version-controlled change;
- technical review;
- applicable automated tests;
- generation of a versioned artifact;
- deployment to staging;
- validation;
- controlled deployment to production;
- post-deployment verification and rollback capability.
How to evaluate architecture and technical quality
There is no universally correct architecture. Microservices may be appropriate for independent domains and large-scale operations, but they increase network, observability, and deployment complexity. For many early-stage products, a modular monolith is simpler, more cost-effective, and easier to maintain.
The decision should consider expected volume, criticality, integrations, team size, budget, and frequency of change. Request a simple diagram showing users, applications, databases, external services, security boundaries, and data flows.
Use this technical checklist:
- technologies have active communities and maintenance;
- modules have clearly separated responsibilities;
- APIs are documented and versioned when necessary;
- secrets are not stored in the source code;
- dependencies receive security updates;
- critical queries and operations include failure handling;
- there are unit, integration, or end-to-end tests according to the risk level;
- the solution can scale without requiring an immediate rewrite;
- cloud costs are estimated and monitored;
- there is a strategy for data migration and recovery.
Be wary of both improvised solutions and excessively complex architectures. Appropriate engineering controls risks without creating unnecessary components.
Security, LGPD, and operational continuity
Compliance with Brazil's General Data Protection Law does not come down to adding a privacy policy to a website. The project must map which data is collected, its purpose, legal basis, retention period, sharing practices, and the methods used to fulfill data subject rights.
From a technical perspective, verify at least:
- role-based authentication and authorization;
- the principle of least privilege;
- encryption in transit;
- credential protection and rotation;
- logging of relevant actions;
- backups with restoration testing;
- vulnerability and dependency management;
- separation between environments;
- incident response;
- deletion or anonymization when applicable.
A backup without tested restoration is only an expectation. The proposal should specify backup frequency, retention, storage location, and recovery objectives compatible with the business. The lower the tolerance for data loss and downtime, the higher the infrastructure cost tends to be.
Offensive security testing must also have a formally authorized scope. A red team engagement or penetration test should define permitted assets, the testing period, prohibited techniques, evidence handling, and the remediation process.
Contract, budget, and working model
Fixed pricing works best when the scope is stable and has objective acceptance criteria. Projects involving discovery, uncertain integrations, or frequent evolution tend to work better under a monthly capacity model, with a prioritized backlog and continuous monitoring.
Regardless of the model, the contract should clarify:
- included scope and exclusions;
- parties responsible for content, data, and integrations;
- milestones and acceptance criteria;
- ownership of the code and artifacts;
- recurring cloud and external service costs;
- support hours and channels;
- incident severity levels;
- rules for scope changes;
- termination and transition procedures.
Request a breakdown separating development, deployment, infrastructure, licenses, and ongoing maintenance. A proposal that initially appears inexpensive may become more costly when it omits monitoring, maintenance, support, or third-party services.
Practical matrix for comparing vendors
A weighted assessment reduces decisions based solely on impressions. The company can assign scores from 0 to 5 and use the following weights as a starting point:
| Criterion | Suggested weight |
|---|---:|
| Production evidence and verifiable case studies | 20% |
| Technical expertise and architecture | 20% |
| Security and data protection | 15% |
| Development and deployment process | 15% |
| Support and continuity | 10% |
| Commercial and contractual clarity | 10% |
| Communication and regional proximity | 10% |
The weights should change according to the risk. In healthcare, security, interoperability, and traceability deserve greater weight. For a corporate website, publishing speed, technical SEO, content management, and performance may be priorities.
Before signing, hold a technical meeting with the people who will actually develop the project. Overly generic answers, refusal to discuss risks, and the absence of an operational plan are warning signs.
How Predictor Solutions addresses these requirements
Predictor Solutions Ltda., CNPJ 61.249.236/0001-50, is a software house headquartered in Lavras, Minas Gerais, Brazil. The company works with custom software, applied artificial intelligence, data engineering, cloud and DevOps, offensive security, CRM, WhatsApp customer service automation, and websites or platforms prepared for SEO, SAIO, and automated content publishing.
In healthcare, it works with HL7 v2 and FHIR integration and maintains the products Predictor Health, focused on dashboards and wearables, and Predictor AI Hospitals, designed to predict sepsis, myocardial infarction, and pneumonia in ICUs. Its reported case studies include Ártemis AI, Avea, AMF, CEIS, Corrigiu, MiniMe Labs, and NexusML.
The company reports having served nine medium-sized and large companies, with average savings of R$ 1.32 million per client per year, an average productivity increase of 70%, and profit growth of 43% in six months. For standardized web projects, the company also maintains a process capable of launching websites in less than two hours; projects with integrations or specific rules require a separate estimate.
The work combines requirements definition, architecture proportional to risk, version-controlled development, cloud deployment, monitoring, and ongoing evolution. When comparing vendors, these results should be assessed alongside the technical evidence, contracted scope, and production criteria described in this article.
Contact: contato@predictorsolutions.com / WhatsApp +55 31 98835-3246