AI & automation
Agents, RAG, chatbots and AI automation in production, with evaluation, guardrails and cost under control.
About Master Timm
Master Timm is an IT consultancy specialized in AI, founded in 2022 in São Paulo, Brazil. It builds AI agents that work with company data and systems, automates processes, modernizes aging systems and delivers custom software, e-commerce and content for companies in Brazil and the United States.
AI and software consultancy, from São Paulo to Brazil and the US
Specs before code, tests before every release and the documentation in your repository.
The Master Timm method
Specification
45 specs
Tests
~4,000 unit and integration tests
Release
198 releases in 8 weeks
Figures from DIAL, The Hackett Group's platform.Read the case study
Master Timm was founded in 2022 in São Paulo to ship AI and software to production with senior engineering. We bring 20+ years of software engineering experience.
We deliver AI platforms, legacy modernization, desktop apps and custom systems for companies such as The Hackett Group (NASDAQ: HCKT), Quilt Software and Regal Rexnord (NYSE: RRX).
We also build our own products (Zorbit, Contas Casal and Master Jobs) and contribute to open source, such as NFePHP.
- Company
- Master Timm – Global Solutions
- Founded
- 2022
- Based in
- São Paulo, Brazil (fully remote)
- Markets
- Brazil · United States · Global (remote)
- Languages
- English and Portuguese
- Contracts
- In USD or BRL
- Practices
- AI and automation · Architecture and modernization · Custom software · E-commerce · Content and social media
Five practices: AI, architecture, software, e-commerce and content
Each practice has service pages with deliverables, typical timelines, engagement models and results.
Architecture, modernization and mentoring
A senior architect to set the architecture, modernize legacy systems without stopping operations and grow your team.
Custom software
Business systems, websites and apps built with specs, tests and AI used with judgment.
E-commerce
Custom B2B and B2C stores, ERP, marketplace and payment integrations, and AI applied to revenue.
Content & social media
Posts published automatically on several networks, e-commerce content, articles, ebooks and courses, produced with AI and supervised by a person.
How Master Timm works
The same method on every project, from discovery to the handover to your team.
Specs before code
Specs, architecture decision records (ADRs) and acceptance criteria, written before the first line of code and kept in your repository.
Tests as the bar for delivery
No change merges without passing the automated tests, with coverage targets and static analysis.
AI under governance
AI coding agents (Claude Code, Codex, Cursor, Copilot, OpenCode) work under quality gates; in production, guardrails and sanitized LLM output.
Senior engineering end to end
Whoever designs the architecture also writes and reviews the code. Nothing is handed off to a junior team.
Knowledge transfer
Documentation, automated deploys and mentoring are part of the delivery, so your team can take the system over.
Commercial clarity
Typical timeline and engagement model set before the proposal. Contracts in USD or BRL.
Clients and projects
Own products and open source
Products we built, with the numbers behind each one, and the open source we contribute to.
Open source
NFePHP · payment modules for Magento 2
Contributions to NFePHP, Brazil's leading open-source NF-e library (700+ stars), and to the official PagSeguro and Mercado Pago modules for Magento 2 (214K installs).
- PHP
- NF-e
- Magento 2
Contas Casal
Own product · AI personal-finance PWA
Multi-provider LLM assistant with structured RAG and ~8.8K automated tests.
- PWA
- LLM
- RAG
Master Jobs
Own product · open-source job-intelligence platform
10 ATS adapters, vector search with pgvector and 26 ADRs documenting the decisions.
- pgvector
- PostgreSQL
- Open source
Zorbit
Own product · self-hosted orchestration for AI coding agents
Orchestrates AI coding agents across 6 LLM providers, on Go and Kafka, with ~74 MCP tools.
- Go
- Kafka
- MCP
Tell us what you're building
Tell us the context: the problem, the timeline and what already exists. You talk directly to the engineer who will do the work.
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