About MMC Tecnologia
Engineering that serves
the business.
Not the other way around.
MMC Tecnologia was founded on a simple conviction: senior engineering leadership should solve real problems, not produce slide decks. For three decades, that principle has guided every engagement — from early-stage founders navigating their first architecture decisions to M&A teams closing complex post-acquisition integrations.
Rafael Aguilher da Costa began writing production software in the mid-1990s, long before "tech consulting" had a coherent job title. Over the following three decades he co-founded multiple ventures, led engineering organisations through hypergrowth, managed migrations across critical financial and gaming infrastructure, and eventually became one of the earliest practitioners in Brazil to embed generative AI into core engineering workflows — not as a demo, but as a daily tool that measurably compresses timelines and improves output quality.
"The problem with most tech consultants isn't competence — it's distance. They've never had to live with the decision they made at 10 a.m. by 11 p.m. when the system is down. We have."
MMC Tecnologia was formalised in 2016 as a structure to bring that accumulated operational depth to founders and leadership teams who needed real execution, not advisory memos. The offer has always been the same: senior accountability, delivered personally — never delegated to a junior consultant behind a branded PowerPoint.
Clients have included payments processors, gaming operators, insurance platforms, fintech startups, and growth-stage companies preparing for acquisition or investor scrutiny. In every case the work has involved real systems, real deadlines, and real consequences — environments where the comfort-and-wait approach most consultants default to simply doesn't hold.
Since late 2023, every MMC engagement has incorporated AI-augmented engineering practices as standard — using tools such as Claude Code, GitHub Copilot, and Codex to accelerate research, architecture modelling, codebase scanning, and documentation, while keeping human senior judgement at every decision gate. The result is faster delivery without the quality and accountability trade-off that "AI-first" vendors frequently introduce.
The person behind every engagement
Rafael Aguilher
da Costa
Founder · Fractional CTO · Serial Co-founder · Official Anthropic Partner
Rafael brings an unusual combination to every client engagement: he has been the founder raising the round, the CTO explaining tech debt to a sceptical board, the operator managing a migration in a live production environment at 2 a.m., and the acquired-company leader navigating post-close integration pressures. That firsthand fluency across all sides of the table is what distinguishes MMC from firms staffed by career consultants.
He has spent 30 years writing and reviewing production-grade code — and still does. Not as a badge, but because staying technically current is the only honest way to deliver credible engineering leadership. Clients are never briefed by someone who last touched a codebase a decade ago.
As an early adopter of AI-augmented engineering practices in Brazil, Rafael became an official Anthropic partner in 2023 and has since built a methodical, guardrail-aware approach to embedding generative AI into client teams — calibrated to each company's stage, risk profile, and regulatory constraints.
What drives us
Senioridade that resolves.
Not senioridade that opines.
Three decades of practice has condensed into a set of operating principles that shape every engagement — from the first diagnostic call to the final handoff. These aren't aspirational values on a wall. They are observable behaviours that clients should hold us to.
Execution over opinion
Advisory that doesn't convert into working systems or measurably better decisions is a cost, not an investment. Every MMC engagement is scoped around concrete outcomes — architecture delivered, migration completed, team rebuilt — not reports produced.
Senior accountability, personally
Rafael conducts every engagement. There is no account team that collects the brief and hands it to a junior. The person who scopes the work is the person who does the work. That single commitment eliminates the most common failure mode in technical consulting.
Speed without shortcuts
AI tooling compresses timelines that used to be fixed. A due diligence that once took three weeks can be completed in five to ten working days. Faster delivery here is a structural capability — not a promise made at the pitch and quietly abandoned during delivery.
Compliance as an engineering concern
In regulated markets — financial services, insurance, gaming — LGPD, ITIL, BCP/DR and investor governance frameworks are not legal department problems. They are engineering architecture constraints, and they need to be designed in from the start, not bolted on before a regulatory audit.
Transfer, not dependency
Every engagement ends with the client in a stronger position than when it began — stronger team, clearer documentation, embedded practices. MMC builds succession plans for internal CTOs, trains teams on AI-augmented workflows, and exits cleanly. Recurring work should come from new challenges, not from dependency.
Founder empathy as a discipline
Having co-founded multiple companies means understanding what founders are actually managing: investor pressure, runway anxiety, team morale, regulatory deadlines, and the gap between what the product does and what the pitch says it does. MMC advises with that full context visible, not just the technical slice.
What changes
What changes when the consultant
has already been the operator.
Most technical advisors are skilled at diagnosing problems from the outside. The gap is in understanding what it costs — in political capital, team morale, and operational risk — to actually fix them. Here is how that difference surfaces in practice.
Company milestones
Four phases of a practice built in the field
MMC's evolution tracks directly with where the most critical engineering problems were surfacing in Brazilian and Latin American technology markets.
Operator years: co-founding, building, shipping
Three decades as a practitioner — software engineer, CTO, and serial co-founder across multiple ventures. Deep exposure to financial infrastructure, gaming platforms, and payments technology. The accumulated operational scar tissue that no consulting course provides.
MMC Tecnologia formally established
The consulting practice is formalised to serve startups, scale-ups, and SMBs in regulated markets. First engagements focus on technical advisory and cloud migration for financial services and gaming operators where compliance and uptime are non-negotiable constraints.
Expanding into M&A and turnaround work
MMC begins taking on technical due diligence mandates for investors and acquirers alongside engineering turnaround work. Clients include Salsa Technology, M4U, JogosGlobal, Mutualizo, Thinksurance, Autobem, and CashWay. Total of eight-plus engagements across the period, each involving critical infrastructure under real commercial pressure.
AI-augmented engineering becomes standard practice
Every new MMC engagement integrates generative AI tooling as a core part of the delivery workflow. Claude Code, GitHub Copilot, Codex, and Gemini are deployed across due diligence scanning, migration planning, and team enablement. Rafael becomes an official Anthropic partner, formalising the practice.
Fractional CTO practice expands; Compound Engineering programme launches
The fractional CTO service deepens its focus on seed-to-Series B founders operating in regulated markets. The Compound Engineering initiative — bringing Claude Code workflows to senior engineering teams — launches in June 2026, extending MMC's AI-augmented methodology directly to client engineering organisations.
How we work
Four steps. No mystery.
Full accountability.
Every MMC engagement follows the same disciplined sequence — not because it's a methodology to sell, but because the sequence is the right one for environments where the cost of getting it wrong is real. Diagnosis before prescription. Plan before execution. Execution with clear ownership. Handoff that actually transfers capability.
Within that structure, each engagement is tailored to the client's actual stage, constraints, and market. A seed-stage founder needs different things from a fractional CTO than a Series B company preparing for investor due diligence — and the approach shifts accordingly.
Our approach to AI
AI as an engineering tool.
Not a slide-deck buzzword.
Since late 2023, AI-augmented engineering has been a core part of every MMC engagement — built into the workflow for research, architecture, code review, migration planning, and documentation. This is not a service we sell separately. It is the infrastructure we operate on to deliver better outcomes faster.
The distinction matters: MMC uses AI to compress the time between diagnosis and delivery, while keeping senior human judgement at every consequential decision point. Agents scan. Engineers decide. That division of labour is deliberate, and it is what separates rigorous AI-augmented practice from the kind of automation that introduces new risk while claiming to reduce it.
Due diligence in days, not weeks
Agents scan entire codebases, map vulnerable dependencies, measure tech debt concentration, and generate executive-ready reports in a fraction of the traditional timeline. The human analyst focuses on business-critical blockers — the judgment calls that no automated tool should make alone.
Migrations planned by AI, validated by an engineer
Data pipeline design, schema transformations, DAG generation, and integration mapping — the agent proposes, the senior engineer validates and adjusts. The result is less planning risk, faster execution, and the same level of human accountability that a purely manual approach provides.
Teams that operate with agents, not against them
MMC transfers AI-augmented engineering practices to client teams — custom commands, automated review guardrails, prompt libraries, and usage protocols calibrated to the team's actual stage and risk profile. The objective is durable capability, not a dependency on external tooling expertise.
Companies that have trusted MMC · 8+ engagements since 2017
Ready to talk to the person
who will actually do the work?
No intake forms routed to an account manager. No discovery call with a generalist. The first conversation is with Rafael — and it is structured to produce something useful in under 45 minutes.