Artificial Intelligence Consulting and Implementation
AI is already real. We get your company into it.
We deploy and tune Artificial Intelligence in your processes, your code or your products, with know-how and method.
Where we can work
- Process
AI in your process
For companies that need AI in the process and don't know where to start, or already use AI and want to tune it or widen it.Learn more - Code
AI in your code
For teams that write code and do not use AI yet, or use it without method. We build the DevOps flow and tooling that make productivity come with quality.Learn more - Product
Production ready
For products built with AI that served as an MVP and now need an audit to scale and carry load.Learn more
Our purpose
In the original Portuguese.
Assim como a revolução da web e, posteriormente, a revolução mobile criaram uma enorme indústria de empresas especializadas em levar negócios para essas novas plataformas, a inteligência artificial está criando uma transformação de magnitude semelhante — e que deverá se estender por muitos anos.
Nossa missão é ser a empresa que faz essa transformação acontecer.
Com conhecimento, metodologia e ferramentas próprias, ajudamos empresas e pessoas a incorporar a inteligência artificial aos seus processos, produtos e decisões, transformando uma tecnologia promissora em resultados concretos.
Vinicius DuflothFounder
The Artificial Intelligence landscape
90% of software teams already use AI every day.
DORA · Google Cloud, 202588% of companies already use AI in some function.
McKinsey, The state of AI, 202519% less likely to be right when AI is used on the wrong task.
Harvard · BCG, Organization Science, 202645% of AI-generated code has a vulnerability.
Veracode, GenAI Code Security Report, 2025
AI can lift your business. As long as it is used the right way.
What we usually get called about
-
Our team already uses AI, but everyone uses it their own way, with no standard.
Process -
We ran a pilot, everyone was impressed, but nothing in the process changed.
Process -
I use AI, but I spend my time pasting data from several systems, or repeating the same thing.
Process -
The team ships faster with AI, but now review is the bottleneck.
Code -
It feels like every release brings more bugs than features.
Code -
Writing the code is fast; getting it to production safely is still the bottleneck.
Code -
We built it with AI, it worked, but now nobody wants to touch it.
Product -
The product already has paying customers, and we are afraid of the security hole it might have.
Product
How we work
- 01
We start with the problem, not the tool
Before proposing anything we walk through what you expect: where the bottleneck is today, what it costs, and what success on this project means to you.
- 02
We use AI in our own work, every day
We use AI agents across every one of our own processes, every day. We are the ones who live with the result, and that is how we know which model suits which job.
- 03
We go after objective results
We are driven by numbers. We like to measure, and to know exactly the gain expected and the gain obtained.
We work with what you already use
We put tools and agents into what you already use, where all of your context already is. When it makes the difference, we bring the tools and agents that suit your case better.
- Claude
- Codex
- CodeRabbit
- Microsoft 365
- Microsoft Teams
- Slack
- Notion
- Confluence
- Jira
- Trello
- ClickUp
- Asana
- Zendesk
- Salesforce
- HubSpot
- SAP
- TOTVS
- Power BI
- Tableau
How to start
- 01
The call
Thirty minutes, at no cost. You describe your bottlenecks, what they cost you today and what success would look like to you.
- 02
The proposal
Scope, investment and timeline presented and walked through, explaining exactly what will be built.
- 03
Execution
Delivery, training and a follow-up so we can confirm we reached the result.