We are an AI consulting and architecture firm for companies and governments. We help you decide where AI is worth it, then design and build the system: agents, search over your own documents and knowledge graphs, with human approval, measured accuracy and a known cost per user.
Each one can stand alone. Many clients start with strategy and continue into architecture.
Facilitated working sessions with the people who own the problem. We establish where you are today in numbers, agree on targets, and choose the use cases worth pursuing before anyone buys a tool.
You leave with an adoption plan with goals, baseline metrics, named owners and a first 30 days.
Design and build of production AI systems: multi-agent workflows, hybrid search that combines meaning and keywords over your documents, and knowledge graphs that connect people, problems and solutions. Built in your cloud, on your servers or behind your internal model gateway, with no lock-in to one AI vendor.
You leave with running software, its evaluation results, the architecture documentation and a handover your team can operate.
Policies, risk assessment and controls for the AI you already use or are about to deploy. We work from how auditors actually examine AI systems, so what you put in place holds up under review.
You leave with a governance framework, a risk register and the documentation trail a reviewer will request.
Lean Six Sigma and root-cause methods applied first, AI second. We find where the work is really lost, then use automation only where it removes that loss.
You leave with a documented root cause, a tested fix and the measures that show whether it worked.
Most AI projects stall between the demo and daily use. These four decisions, made at design time, are what get a system across that gap.
Your cloud, your servers or your internal model gateway. Models can be swapped without rebuilding the system.
Every system comes with a test set and accuracy targets agreed with you, and we report the results before anyone relies on it.
Approval steps sit where a decision has consequences, and every answer can be traced back to its source.
We design for a known cost per user and per query, so a pilot does not turn into a surprise at scale.
We have designed and run AI systems in government, where they had to be accurate, explainable and affordable at national scale. We bring the same standard to every company and public body we work with.
Careers spent in federal oversight in Brazil and municipal government in Canada, in data science, AI architecture and strategic project management.
Design and delivery of a multi-agent generative AI platform for public procurement analysis, piloted across several audit organizations with human approval built into every result.
Contribution to guidance on how public auditors should examine AI systems, developed jointly with national audit institutions in Europe and the Americas.
Coordination of distributed, multilingual teams across six national institutions, including the delivery of AI tools those teams use to share knowledge.
Credentials on the team: Project Management Professional (PMP), Lean Six Sigma Black Belt and MBA, with hands-on engineering in Python, LangGraph, graph and vector databases, and Google Cloud.
The same four steps whether the work takes two weeks or six months.
Thirty minutes to understand the problem and tell you plainly whether we are the right help for it.
We document where you are now: the process, the numbers, the constraints and who decides.
Depending on the service, we produce the plan, the framework or the working prototype, reviewed with you as it takes shape.
Everything is documented so your team can run it, extend it and defend it without us.
Ministries, agencies, municipalities and audit institutions. We treat procurement rules, privacy law and audit exposure as design requirements from the first day, not as obstacles to work around later.
Companies moving AI from pilot to production, especially where operations, compliance and technology all need to agree first. We give those groups one architecture and one plan to work from.
Send a few lines about your organization and the problem. We reply within two business days to arrange an introductory call.