Engineering that
serves the business.
Not the other way around.
Three distinct service lines. One constant: every engagement is led personally by Rafael Aguilher da Costa — 30 years of hands-on technical and executive experience, delivered in a world increasingly shaped by artificial intelligence.
Three fronts. One principle: seniority that solves problems, not one that merely offers opinions.
Each service is personally led by Rafael — co-founder, operator, and Anthropic partner — not delegated to a junior team behind a brand name.
Fractional CTO
for Founders
You are between Seed and Series B. Your product is growing faster than your engineering organization. You need a seasoned technical executive who can make hard calls, speak credibly to investors, and build the conditions for a strong internal CTO to eventually take over — without requiring a full-time salary or a two-year search process.
This is not advisory on the margins. Rafael embeds into your company one to three days per week, carries full accountability for technical direction, and brings AI-augmented methods to accelerate every dimension of the work — from architecture reviews to team onboarding.
Founders gain an experienced technical partner who aligns engineering velocity with commercial milestones, de-risks board conversations, and builds the internal team and processes required to sustain growth — with a structured succession path so you never lose momentum when the engagement closes.
What's included
What's included
Tech Advisory
& Turnaround
Some environments are not forgiving of experimentation. Regulated industries — fintech, healthtech, insurance, payments — carry compliance obligations where downtime is measured in regulatory consequences, not just lost revenue. Most consultants advise from a comfortable distance. MMC embeds into the messy reality.
This service addresses architecture debt, cloud migration, engineering team dysfunction, and governance gaps in environments where availability and compliance are non-negotiable. The engagement begins with an intensive diagnostic phase, then moves into execution — often simultaneously.
Organizations in distress — whether from technical debt, rapid scaling, post-incident fallout, or regulatory scrutiny — emerge with stable infrastructure, a functioning engineering culture, and documented governance that satisfies auditors. Not in theory. In practice, with working code, updated runbooks, and a team that can own it forward.
Tech Due Diligence &
Post-Acquisition Integration
Most technical due diligence is performed by people who have read about building software. Rafael has built it, sold companies, acquired companies, and sat on both sides of the same table. That difference shows up in the quality of the questions asked and the speed at which red flags are identified versus dismissed.
The pre-acquisition DD is delivered in five to ten business days — fast enough to fit deal timelines without sacrificing depth. The post-acquisition integration service carries the work forward: merging stacks, aligning teams, and standing up a coherent engineering operation from two previously separate organizations.
Investors receive a clear, actionable technical risk assessment before capital changes hands. Operators get a structured integration roadmap that prevents the most common post-acquisition failures — knowledge loss, team attrition, and stack divergence that turns two functional products into one dysfunctional one.
What's included
| Scope item | Pre-acquisition DD | Post-acquisition integration |
|---|---|---|
| Codebase quality audit | ✓ | – |
| Dependency & security scan | ✓ | ✓ |
| Tech debt quantification | ✓ | ✓ |
| Executive risk report | ✓ | – |
| Stack rationalization | – | ✓ |
| Team integration & org design | – | ✓ |
| Interim CTO coverage | – | ✓ |
AI as an engineering tool.
Not a slide-deck buzzword.
Since late 2023, every MMC engagement has integrated generative AI into the core workflow — research, architecture design, code generation, review, and documentation. This isn't a product feature we sell separately. It's how we work, and it shows up in delivery speed and output quality.
We don't send junior analysts to run AI tools while a senior partner reviews the summary. Rafael uses these tools directly, in context, with the engineering judgment to know when the output is trustworthy and when it needs correction. That distinction matters enormously in complex technical environments.
Due diligence completed in days, not weeks
AI agents scan codebases, map vulnerable dependencies, quantify tech debt across the repository, and produce a structured executive report — while the human analyst focuses on business-critical blockers that no automated tool can assess. The result is faster delivery without sacrificing depth or accountability.
Migrations planned by AI, validated by an engineer
Data pipelines, schema transformations, DAG definitions, and integration mappings are proposed by agent-assisted planning tools. A senior engineer validates every step, adjusts for context the model cannot know, and carries full accountability for the outcome. Less risk, more velocity — same human responsibility.
Teams that work with agents — not against them
We don't just use AI internally — we bring AI-augmented engineering practices to client teams as part of the engagement. That means custom command libraries, automated review pipelines, guardrails calibrated to team maturity, and training that builds genuine capability. No hype, no vendor sales pitch, just measurable productivity gains.
AI-assisted architecture review
Pattern analysis, anti-pattern detection, and dependency risk mapping across large codebases at a speed no purely human review can match — with engineering judgment applied to everything the model surfaces.
Automated documentation generation
Architecture decision records, runbooks, API documentation, and onboarding guides kept current as the codebase evolves — eliminating the documentation debt that compounds every time a senior engineer leaves.
Continuous code review augmentation
AI-assisted PR review integrated into existing CI/CD pipelines — catching security vulnerabilities, style drift, and test coverage gaps before they reach a human reviewer, freeing senior engineers for judgment-intensive work.
What changes when the consultant has been a founder, CTO, and operator.
The advisory market is full of people who studied companies like yours. Rafael built them, broke them, sold them, and bought others. That experience shapes every engagement in ways that are not replicable through credentials alone.
30 years of career — and still writing code
Rafael doesn't rely on frameworks and mental models accumulated in the 1990s. He codes daily, uses the same tools as your team, and has the technical credibility to challenge engineers on the specifics — not just on process or strategy.
Serial co-founder who understands who hires him
Having founded and co-founded multiple companies, Rafael understands the resource constraints, emotional stakes, and conflicting priorities that founders navigate. He advises from that lived experience, not from a consulting playbook written for enterprise clients.
AI-augmented engineering since 2023
Early adoption of generative AI tools — before they became mainstream — means practical competence, not surface familiarity. Every tool in the MMC workflow has been stress-tested across real client engagements, not added to a service list for marketing purposes.
Specialist in critical transitions
Scale-up inflection points, live migrations in regulated environments, post-acquisition chaos, engineering team rebuilds after key departures — these are the scenarios where MMC has the most concentrated track record. We are calibrated for difficulty, not for routine.
Governance that satisfies the regulator
MMC has delivered ITIL, LGPD, BCP/DR, and ISO-aligned governance frameworks in fintech, insurtech, and payments environments — contexts where compliance is not a checkbox exercise but an operational discipline with real consequences. The frameworks we implement are built to work under audit scrutiny, not just to generate documentation.
Four steps. No mystery.
Every engagement — regardless of service line — follows the same four-phase structure. Clarity on what happens when is part of what we deliver from day one.
Diagnosis
We begin with a structured technical and organizational assessment. No assumptions, no recycled recommendations. The diagnosis informs every decision that follows — and is itself a deliverable you can act on independently if needed.
Days 1 – 10Plan
From the diagnosis we build a phased execution plan: what moves first, what dependencies exist, what risks need to be hedged before we proceed. The plan is specific enough to assign ownership, not a high-level roadmap that requires another consultant to interpret.
Days 10 – 20Execution
We execute alongside your team — not above them. Architecture changes, migrations, hiring decisions, governance implementations, and AI tooling rollouts happen with hands-on involvement at the technical level. Progress is visible, tracked, and reported without requiring a separate project manager to translate it.
Ongoing · phasedHandoff
Every engagement ends with a structured transition: documented decisions, living runbooks, trained internal owners, and a clear line of sight to what comes next. The goal is an organization that does not need us — that is how we define success.
Final phaseQuestions founders and technical leaders ask in the first conversation.
These are the real questions — not the polished ones. We answer them plainly here so the first meeting can focus on your specific situation.
Accountability. An advisor gives recommendations. A Fractional CTO owns the technical direction, attends leadership meetings, makes decisions — and is responsible when those decisions don't pan out. Rafael operates with full executive accountability, not as a consultant on retainer who sends reports.
Every engagement is led personally by Rafael. For specific execution phases — migration infrastructure, specialized compliance documentation — he draws on a trusted network of senior practitioners. But you always have a single point of accountability. No bait-and-switch to junior staff after the contract is signed.
No — in fact it's usually the reason for the DD. A messy stack is a normal condition in companies that moved fast. The point of the assessment is to quantify what "messy" actually means in risk terms, distinguish cosmetic issues from blockers, and give investors or operators a truthful picture. We've seen most failure modes before.
Yes — and this is where MMC's track record is most concentrated. Financial services, insurance, payments, and health-adjacent companies operate in compliance environments where most technical consultants get cautious. We have delivered LGPD, ITIL, BCP/DR, and ISO 27001-aligned implementations inside these constraints, including live migrations with zero downtime requirements.
For Tech DD engagements, typically within one week of contract signature — the compressed timeline is the point. For Fractional CTO and advisory engagements, onboarding begins within two to four weeks depending on scheduling and access provisioning. We do not maintain a pipeline of parallel engagements that creates a months-long queue.
MMC works across Brazil, Latin America, and Europe. Most advisory work is conducted remotely with structured on-site presence at critical phases. Rafael is based in Florianópolis, SC and has delivered engagements in Portugal, Germany, and across LATAM.
The right engagement starts with an honest conversation.
Not a discovery call designed to lead you into a sales process. A direct conversation about what you're facing technically, where the real risk sits, and whether MMC is the right fit for the problem — Rafael speaks to every prospective client personally before any engagement begins.
MMC Tecnologia Ltda · Florianópolis, SC · Brazil, LATAM & Europe
contato@mmctech.com.br · +55 (48) 99999-0000