the system understands the operation, sources and constraints
Applied intelligence · Juiz de Fora, Brazil
AI that understands the work before automating it.
Synap designs artificial intelligence and automation systems for complex operations. We connect context, evidence and action so teams can move forward with greater clarity, traceability and control.
outputs remain connected to their origin and can be reviewed
people keep authority over consequential decisions
What we do
We turn operational complexity into usable systems.
Our work starts with the decision and the workflow—not with a fashionable model. Technology follows the problem, the evidence and the level of risk.
Applied AI
Models, retrieval and agents designed around real tasks and measurable outcomes.
Intelligent automation
Workflows that connect systems, rules and people without hiding exceptions.
Operational knowledge
Structured context, source lineage and memory with explicit access and retention rules.
Responsible delivery
Human review, clear boundaries, observability and safe exits built into the product.
How we work
Understand. Design. Prove. Scale.
Understand the operation
We map decisions, sources, exceptions, responsibilities and the cost of getting them wrong.
Build with evidence
We create a controlled path from input to result, with review points proportional to risk.
Improve from real use
We observe what happened, measure quality and evolve the system without losing traceability.
Our direction
Built in Brazil to raise the standard of applied AI.
Synap is a Brazilian startup with the ambition to help lead the country’s progress in artificial intelligence and automation. We pursue that ambition through useful products, disciplined engineering and trust earned in real operations.
04 · Co-founders
Executive leadership · Juiz de Fora, Brazil
Synap is built by people who understand complexity from within.
Dalton Rodrigues and Camilla Dutra lead Synap as co-CEOs and co-founders. Their experience in complex legal operations meets artificial intelligence development, product thinking and automation.
01Co-CEO & Co-founder
Dalton Rodrigues
Attorney and Civil Procedure specialist working at the intersection of legal expertise, AI development and product design for complex operations.
Education and credentials
- Specialist in Civil Procedure
- IBM AI Developer Professional Certificate
- AI & Machine Learning · University of London, Vanderbilt University and Google
02Co-CEO & Co-founder
Camilla Dutra
Attorney specializing in Civil Procedure, Labour, Public and Social Security Law, with extensive experience in high-complexity legal operations.
Expertise and experience
- High-volume litigation
- High-risk legal portfolios
- Tax enforcement proceedings
Synap Journal
Research, product thinking and the signals that matter.
Original analysis lives separately from the daily AI and Machine Learning Radar. Sources, dates and authorship remain visible by design.
Bring us an operation that deserves to work better.
We will start with the context, identify where intelligence creates leverage and define a responsible next step.