Kaizen Forge

About

The forge and the smith

“A thousand days of training to develop, ten thousand days of training to polish.”

Miyamoto Musashi

I'm Kayo Souza (Kinho), a senior software engineer, tech lead and AI engineer with 8+ years in production, 4 of them with US clients. From Vitória, Brazil, I've worked for Nike (the Asset Library behind 16M+ assets, built as sole engineer, and AutoCrop, a GenAI service that cut designers' prep time 44%), QuintoAndar, Loft and Yooga, where I led the 5-engineer payments team behind US$ 70M+ processed in 6M+ transactions.

Today I'm Tech Lead of the nearshore team on Care Agent, the LLM patient agent of Experity, which holds half of the US telemedicine market: booking runs in code instead of the model, PHI stays out of every telemetry event, and the agent runtimes run under a 99.99% availability SLO, all under HIPAA. I co-founded TOPO Contábil, where I built the architecture, engineering and security; it reached five-figure ARR in its first year. I'm also a software engineer on a research grant, across all tracks, in the modernization project of the Espírito Santo Court of Justice (TJ-ES). Top 0.01% Claude Code user globally.

Kaizen Forge is the software house I founded to bring that standard to other companies: custom software, AI consulting and dedicated developers, built by a team that uses AI as a tool and by a tech lead who is accountable for every delivery. Kaizen (改善) is continuous improvement; a forge is where iron becomes blade under pressure and heat. That's how we treat software and AI: no hype, made to measure, measured.

I write about engineering and AI at kinho.dev.

Where the standard was forged

  • Nike
  • QuintoAndar
  • Loft
  • Yooga
  • Experity

Principles

Honesty over polish

A number that wasn't measured doesn't go on the site. A scope that doesn't close doesn't get promised.

Production or nothing

Demos don't pay bills. Every project ends with a system operating and a team trained.

Kaizen

Metrics-driven continuous improvement. Every system I ship gets better, and cheaper, over time.

The manifesto

Kaizen is not a slogan

Every AI company promises overnight transformation. We don't. Kaizen (改善) is continuous improvement: small, measured, compounding. A system a little better every week beats a revolution that never leaves the slide deck.

We forge it in this order, every time: diagnose with honesty, cut what doesn't pay for the project, ship to production with metrics from day one, and keep polishing. It's not a magic formula. It's discipline, applied again and again.

If you want a nice case study for a pitch deck, we're not for you. If you want software that runs, built by a team that proves it with numbers, that's exactly what Kaizen Forge exists for.

Cut the hype. Measure what matters. Repeat.

The squad

The team behind the code

A lean team from Vitória, Brazil, with AI at the center of the process: the people who sell, build, and respond are the same team, with no layers between you and delivery.

  • Kayo Souza

    Kayo Souza

    Tech Lead · LLM agents & Payments

    8+ years in production. Tech Lead of the nearshore team on Care Agent at Experity, led the Yooga payments team behind US$ 70M+ processed, and built Nike's Asset Library as sole engineer.

    TypeScriptAIPayments
  • Gabriel Wagnitz

    Gabriel Wagnitz

    Head of Security

    Computer Science (UFES), then most of a decade in Canadian cybersecurity: built and ran SOC ingest processing 3+ TB of security telemetry per day for 80+ organizations, with 10+ incident-response engagements. Also the co-builder of an offline-first civic platform he still maintains, seven years on. One engineer who builds the feature and secures the infrastructure under it.

    SecuritySIEMReact
  • João Holz

    João Holz

    Solutions Architect · ML & Data

    A statistician turned architect: time-series forecasting, production ML systems and data platforms. Architected Oráculo end to end, delivered a public-sector data platform serving 300+ municipalities leading a 6-12 engineer team, and shipped the MLOps architecture for a payment gateway. Research exchange in computer vision at Brno University of Technology.

    ArchitectureGoPython
  • Lucas Fabris

    Lucas Fabris

    Lead AI Engineer

    Built an AI lead-scoring product from an empty repo to production as sole engineer. Developed a native Android POS to stable release in two months, and is a key player in the payment integrations (Tuna, Apple Pay, Google Pay) behind US$ 70M+ processed. Owner attitude: takes things end to end.

    AI EngineeringNestJSAndroid
  • Ana Có

    Ana Có

    Designer · Lead Front-end

    A designer by degree who engineers: platform team at QuintoAndar, now owner of the design system behind a merchant app serving 4,393 active stores: 841 commits of components, prototypes and product screens. The reason our work looks like product, not project.

    Design SystemsTypeScript · ReactAngular
  • Eden Kiefer Junior

    Eden Kiefer Junior

    Full-stack Engineer

    Backend-focused full-stack engineer, twice dropped into stalled projects and twice took them to production: a cross-border e-commerce live in one month, a municipal accounting system in three, as tech lead. Also owns the loyalty vertical on an engine with 1.1M participating consumers. Speaks little, ships a lot.

    Full-stackJavaIntegrations
  • Willian Kuhn Littig

    Willian Kuhn Littig

    Automation & Infrastructure Engineer

    Builds the operational backbone: marketplace integrations processing 1,000+ invoices a month, WhatsApp automations where AI answers questions on its own, and Oráculo's persistence backend: 10,000+ real sessions processed in production.

    AutomationInfraNode
  • Gustavo Stein dos Santos

    Gustavo Stein dos Santos

    DevOps & Backend Engineer

    Backend and infrastructure: built the browser SDK and Go ingestion API feeding Oráculo's models (10,000+ production sessions), stood up a BI department's infrastructure from zero and led its migration to AWS: 300+ dashboards serving millions of rows with no downtime, on a full Grafana observability stack.

    DevOpsGoData
  • Fábio Alexandrino

    Fábio Alexandrino

    Software Engineer

    Worked with me on the Nike projects. React and Node.js on large-scale products, front to back.

    ReactNode.js
  • Ana Carollyne

    Ana Carollyne

    Developer · Web & AI

    Builds client sites and AI integrations into the workflow, from briefing to launch.

    TypeScriptReactIA
  • Matteo Pozzatti Ciardo

    Matteo Pozzatti Ciardo

    Sales & Relationship

    Handles prospecting, support, and client follow-up, from first contact to after-sales.

    VendasRelacionamentoClientes
  • Ricardo Secchin

    Ricardo Secchin

    Lead Mobile

    Android developer with apps in production, who has worked on teams in Brazil and Portugal. Leads the team's mobile work.

    AndroidMobile

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