The company
Zenne Tech
A Brazilian technology and artificial intelligence company with a consulting approach. We start with operational context, assess feasibility and define where technology creates value.
SelectedEngineering · AI · Greater Vitória
Zenne Tech helps businesses in Greater Vitória identify, test and implement AI applications — from initial assessment to automation, team enablement and governance.

Company and partners
Zenne Tech brings together engineering, business insight and scientific inquiry to turn complex problems into applicable decisions and solutions.
The company
A Brazilian technology and artificial intelligence company with a consulting approach. We start with operational context, assess feasibility and define where technology creates value.
Selected
Founder and CEO
Engineer and independent AI researcher working on cognitive-affective systems and mathematical modeling. Creator of MDEI.
Professional profile
Career and business
Specialist in human development, professional positioning and financial analysis for small and medium-sized businesses.
Professional profilePublic research
Research is presented only within publicly available material. Core algorithms, source code and confidential extensions remain protected.
01
Vectorial mathematical research into cognitive-affective states, temporal dynamics and stability in AI systems.
02
Public inquiry into neural networks, latent geometry, Neural ODEs, attractors and emergent behavior.
03
Vectorial foundations and Lyapunov-based stability analysis for cognitive-affective architectures.
View public articlesServices
Services for businesses in Greater Vitória, with clear stages for assessment, validation, implementation and support.

We design AI-agent workflows for information retrieval, triage, organization, internal support and digital routines.
The solution starts with the company's process, defining automation boundaries, human decisions and recorded validations.

We analyze workflows, bottlenecks, repetitive tasks and information flows to separate viable opportunities from premature investment.
You receive a roadmap prioritized by impact, risk, dependencies and implementation effort.

We turn a prioritized opportunity into a prototype that tests logic, response quality, sources and validation steps.
The PoC shows whether the solution works in the selected process, its limitations and the conditions required to move forward.

We plan the transition from prototype to usable solution, defining components, access, sources, integrations and responsibilities.
Architecture balances performance, privacy, cost, traceability, vendor dependence and maintenance.

We train leaders and teams to use AI with judgment, security and autonomy through content adapted to their work.
Participants learn to structure requests, review answers, protect sensitive information and recognize human decision points.

We support rules for tool selection, usage and oversight, including data exposure, wrong answers, bias, access and human supervision.
Guidelines define authorized tools, restricted information, validation procedures and incident records.
Organize experience, skills and outcomes into a professional presentation aligned with real career goals.
The work may include CV, LinkedIn, academic CV and professional narrative, always faithful to actual experience.
Organize and interpret financial information to support scenarios, negotiation, priorities and decisions in small and medium-sized businesses.
Scope depends on the information provided and does not replace audits, accounting or legal advice where required.
Articles and publications
Search by title, category, author or date. Each publication has its own page and language selector when a translation is available.
What to assess before automating a process and how to distinguish a demo from an operational application.
Read articleNeural ODEs, latent geometry, manifolds and vector fields in complex AI systems.
Open publicationFrom vector table to cognitive-affective system: publicly available research foundations.
Open publicationA Lyapunov-based architecture for cognitive-affective artificial intelligence.
Open publicationNo article matches these filters. Try another term or clear the search.
News and information
Practical guidance on AI adoption, business automation, governance, training and public research.
A roadmap for businesses that want to investigate AI applications without starting with a software purchase.
Read informationRepetition, data, risk, supervision and operational impact.
Principles for tools, data, result review and responsibilities.
A standard HTML model keeps text, images, languages and metadata consistent.
Initial conversation
Describe the challenge. The conversation starts with business context, not a preselected tool.