AI/ML, AWS Cloud, DevOps & Data Engineering Consulting
We transform complex challenges into scalable solutions. Experts in Artificial Intelligence, Machine Learning, AWS Cloud Architecture, DevOps CI/CD, Data Engineering and Full-Stack Development.
From MVP to enterprise architecture: we build AI-powered chatbots, robust data pipelines, serverless cloud infrastructure and DevOps automation. Agile methodology and cutting-edge technologies to accelerate your innovation.
Technical Challenges Your Company Faces
We identify the main technical obstacles preventing startups and companies from scaling efficiently
Outdated Architecture
Hard-to-maintain legacy systems, inflexible monolithic architecture, accumulated technical debt. Modernization seems impossible without stopping operations.
💡 Result: slow feature releases, increasing maintenance costs, and loss of competitiveness
Scalability and Performance
System can't handle user growth, skyrocketing cloud costs, performance bottlenecks. Infrastructure wasn't designed to scale.
💡 Result: instability, poor user experience, and operational costs too high
Lack of Technical Expertise
Internal team lacks experience in AI/ML, cloud, DevOps, or data engineering. Hard to hire and retain specialized talent.
💡 Result: stagnant projects, vendor dependency, and blocked innovation
Underutilized Data
Data scattered in silos, no robust pipelines, limited analytics. Decisions based on intuition instead of data.
💡 Result: missed opportunities, competition using ML while you fall behind
Manual and Slow Deploy
Manual deployment processes, no CI/CD, automated tests, or proper monitoring. Fear of deploying on Fridays.
💡 Result: risky deployments, production bugs, and team overwhelmed with repetitive tasks
The Cost of Not Modernizing
While your company struggles with legacy systems and manual processes, competitors are using cloud, AI, and DevOps to launch faster, operate with lower costs, and create superior experiences. The gap only widens.
Why Agile AI MVP is Different?
Understand the difference between traditional development and our data-validated lean approach
| Aspect | Traditional Development | Raypi Approach |
|---|---|---|
| Focus | Fixed scope, development hours | ✓Testable hypotheses, rapid learning, business impact |
| Deliveries | Large projects, long duration (6-12 months) | ✓Fast MVPs, data-driven pilots (4-8 weeks) |
| Risk | High – large upfront investment without validation | ✓Diluted – small incremental validation cycles |
| Collaboration | Client specifies, team codes | ✓Co-creation from discovery to user validation |
| Vision | Execute what was requested | ✓Question if what was requested solves the real problem |
| Integration | Deliver and exit | ✓Plan from day one how to scale and integrate to core |
Why This Approach Reduces Risk
By breaking the project into small stages with continuous validation, you invest little by little and learn together. No surprises like 'scope doubled' or 'idea had no demand'. Each stage generates learning before bigger investment.
Why Choose a Specialized Consultancy?
Digital transformation requires deep technical expertise and strategic vision. We combine agile methodology, scalable software architecture, and cutting-edge technologies to deliver solutions that generate real impact on your business – from MVPs to complex enterprise systems.
Our Consultancy Services
Technical expertise to solve your most complex challenges
Artificial Intelligence & Machine Learning
Complete AI solutions: chatbots, predictive analytics, GenAI, custom models, and LLM integration. From prototype to production.
Learn MoreSoftware Development & MVPs
Full-stack development for web, mobile, and MVPs. Scalable architecture, quality code, and agile delivery for startups and enterprises.
Learn MoreDevOps & Automation
DevOps consulting, CI/CD, Infrastructure as Code, deployment automation, monitoring, and observability. Accelerate deliveries with reliability.
Learn MoreCloud Architecture (AWS)
Scalable cloud architecture, AWS migrations, serverless, containers, cost optimization, and security. Tailored solutions for your needs.
Learn MoreData Engineering
Robust data pipelines, data lakes, warehouses, ETL/ELT, real-time analytics. Transform data into actionable insights for your business.
Learn MoreOur Methodology
A tested and proven process that guarantees consistent results
Technical and Strategic Diagnosis
⏱️ 1-2 weeks
We analyze your current architecture, identify technical bottlenecks, and map modernization opportunities.
Activities:
- •Architecture and technology stack audit
- •Technical debt and critical points analysis
- •Interviews with technical team and stakeholders
- •Requirements mapping and scope definition
📦 Deliverable:
Detailed technical report with modernization roadmap
Discovery and Prioritization
⏱️ 1 week
We dive deep into opportunities that make the most sense for the business and users.
Activities:
- •Design thinking sessions with your team
- •Interviews and surveys with potential users
- •Clear definition of hypotheses and success metrics
- •Prioritization of bets most aligned with strategy
📦 Deliverable:
Validated hypotheses document and executive roadmap
Architecture Design and Prototyping
⏱️ 2-3 weeks
We design the ideal architecture for your case: cloud-native, microservices, data pipelines, or ML models.
Activities:
- •Scalable architecture design (diagrams, ADRs)
- •Ideal technology stack definition
- •Critical solutions prototyping (PoCs)
- •Security and compliance review
📦 Deliverable:
Architecture documentation and validated PoCs
Implementation and Deployment
⏱️ 4-8 weeks
We develop the complete solution: backend, frontend, infrastructure, CI/CD, monitoring, and documentation.
Activities:
- •Development with clean code and automated tests
- •Cloud infrastructure setup (IaC) and CI/CD
- •Integration with existing systems
- •Production deployment with monitoring and observability
📦 Deliverable:
System in production, documented and maintainable
Learning and Scale Plan
⏱️ Continuous
We collect data, adjust the product, and design how to integrate, scale, or pivot.
Activities:
- •User data and behavior analysis
- •Learning meetings (pivot, scale, or kill)
- •Integration roadmap with core (if applicable)
- •Handoff plan to operational teams
📦 Deliverable:
Data-validated business decision and clear next steps
Why This Flow Works
By breaking the project into small stages with continuous validation, you invest little by little and learn together. Each cycle reduces uncertainty and increases confidence before the next investment.
Why Raypi?
High-level technical consulting focused on results
Multi-Disciplinary Expertise
Team specialized in AI/ML, Cloud, DevOps, Data Engineering, and Development. Experience in complex projects and cutting-edge technologies.
Flexibility and Agility
We serve from startups to established companies. Adaptable methodology: rapid MVPs, scalable architectures, or complete digital transformation.
Global and Accessible Team
Based in Brazil, bilingual support (PT/EN), international talent with competitive costs. Fast and personalized service.
Transparency and Quality
Clean code, well-documented architecture, best practices. We deliver maintainable and scalable solutions. Commitment to technical excellence.
How Our Process Works
Hypothetical examples of typical market projects
FinTech Platform: Complete Architecture
Complete system with AI chatbot, scalable AWS backend, data pipelines, and automated CI/CD. Stack: Python, Node.js, Kubernetes.
Frequently Asked Questions
Clear your doubts about how we work
How long does it take to see results?
Typically, we deliver a functional MVP in 4-8 weeks, depending on complexity. You start seeing clickable prototypes in 2-3 weeks. Our approach is iterative, so you track progress weekly and can adjust priorities along the way.
What's the required investment?
How does project tracking work?
What if I don't have clarity about the solution I need?
Do you offer support after delivery?
What technologies do you use?
Still have questions?
Contact us and we'll clarify all your questions in a quick conversation
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