AI and data engineering consulting

Turn AI pilots into production results.

RayPi designs and builds automations, AI agents, integrations, and data pipelines that reduce manual work, connect systems, and make AI safer to deploy.

Senior engineer-led delivery. Clear scope. Documented decisions.
Problem
Scoped project
Production-ready delivery
  • 13 years of software and data engineering experience
  • Projects scoped before implementation
  • Security and LGPD considered from day one
  • Remote delivery in English and Portuguese

Challenges

What is slowing the team down?

RayPi is useful when AI, data, and manual workflows are blocking delivery, and the next step needs to be scoped, built, and transferred safely.

AI stuck in pilot

Problem

The prototype works, but fails with real users, permissions, data, or business rules.

Outcome

Turn the experiment into a scoped production project.

Disconnected systems

Problem

CRM, product, support, finance, and spreadsheets stay out of sync.

Outcome

Connect tools and create reliable operational flows.

Manual rework

Problem

Teams copy data, reconcile reports, and move updates by hand.

Outcome

Automate repeatable work and reduce operational drag.

Unclear metrics

Problem

No one knows whether the project is worth building.

Outcome

Define success criteria before implementation.

Security delays

Problem

Access, sensitive data, vendors, and responsibilities are unclear.

Outcome

Define safe access and documented decisions from the start.

Services

What you can hire RayPi to do

Start with an assessment or move into data, automation, integration, or support.

AI and Data Assessment

Best for
Deciding whether to build.
Outcome
Clarify the process, risks, data access, success metric, and next step.
You get
Process map, risk notes, scope recommendation, and implementation path.
Timeline
1–2 weeks

Data Engineering

Best for
Scattered data, unreliable reports, or weak data foundations.
Outcome
Make data usable for BI, automation, and AI.
You get
Pipelines, integrations, quality checks, and documentation.
Timeline
3–6 weeks

Automation and AI Agents

Best for
Repetitive operational work and internal support.
Outcome
Reduce manual handoffs with safe, integrated automation.
You get
Automations, agents, evaluation rules, usage limits, and handoff documentation.
Timeline
4–8 weeks

Integrations and Systems

Best for
CRM, ERP, product, support, finance, or internal tools that do not communicate.
Outcome
Create reliable system-to-system workflows.
You get
APIs, connectors, sync logic, operational flow, and documentation.
Timeline
Scoped per project

Support and Evolution

Best for
Solutions already in use.
Outcome
Keep automations, pipelines, and integrations reliable after launch.
You get
Monitoring, adjustments, improvements, and technical context.
Timeline
Monthly

Not sure which service fits?

Assess my project

Examples

Projects RayPi can build

Examples of scoped projects for B2B, SaaS, and digital operations.

Support ticket triage

Classify, prioritize, and route tickets using rules, data, and AI where it adds value.

Connected CRM, product, and finance

Synchronize customer, subscription, product, and billing data to reduce manual reconciliation.

Reliable data pipeline

Move data from operational tools into a dependable foundation for BI, automation, and AI.

Internal agent with access control

Answer internal questions using approved company documents and defined permissions.

Operational reporting automation

Generate recurring reports from trusted sources instead of manual exports and spreadsheets.

AI workflow with human review

Use AI to draft, classify, or summarize work while keeping approval steps where needed.

Have a similar case?

Discuss my project

Process

From idea to real use

RayPi works in short, validated steps so the project stays useful, secure, and understandable after delivery.

1. Understand

Map process, systems, data, users, constraints, and owner.

2. Scope

Define delivery, success metric, risks, and responsibilities.

3. Build

Implement with validation, integrations, and documentation.

4. Transfer

Deliver code, notes, guidance, and next steps.

Want to validate before building?

Start with an assessment

Trust

Senior technical ownership, not black-box delivery

RayPi is led by Mihael Zamin Sousa, a software and data engineer with 13 years of experience across data pipelines, integrations, cloud, backend, DevOps, observability, AI, and machine learning in production.

Direct senior leadership

The project is led by a senior technical owner from scope to transfer.

Reviewable deliverables

Code, architecture, risks, assumptions, and decisions are documented.

Security before access

Permissions, sensitive data, vendors, and responsibilities are defined before implementation.

Proof with permission

Client names, cases, and numbers are published only when approved.

Security

Security and privacy from day one

Before accessing data or systems, RayPi defines permissions, sensitive data, vendors, retention needs, and responsibilities.

  • NDA when needed.
  • Minimal and temporary access.
  • Client data is not used to train public models.
  • Risks, decisions, and assumptions are documented.
  • LGPD considerations are included in scope discussions.
Read security policy

Good fit

When RayPi is a strong fit

Projects work best when there is a real operational pain, access to relevant data or systems, and someone responsible for decisions.

RayPi can help when:

  • Manual processes consume team time.
  • Important data is scattered across tools.
  • A pilot needs production-grade scope, safety, and evaluation.
  • Systems need to exchange data reliably.
  • Security and access can be defined with the team.

It may be too early if:

  • The goal is only to ‘use AI’ without a business problem.
  • There is no access to data, systems, or process owners.
  • No one can approve scope, security, or delivery.
  • There is no clear outcome to improve.

Frequently asked questions

Short answers about AI, data, integration, security, and maintenance.

Yes, when that is the right interface. If automation, integration, or data engineering would solve the problem better, RayPi will recommend that instead.

Assess your AI or data project

Describe the problem and the outcome you want to improve. RayPi will review the context and suggest the safest next step.

We use your answers to prepare the first conversation.

Assess my project

We use your answers to prepare the first conversation.

Project context

Help RayPi understand the problem before the first conversation.

Contact

RayPi will use this to follow up with the right next step.

We use your answers to prepare the first conversation. Do not include passwords, production credentials, or sensitive personal data. Privacy · Terms · Security