Capabilities we combine to solve real operational problems.
Intelligent assistants that operate inside your team's workflow, automating repetitive decisions and amplifying human capacity without replacing oversight.
Example: Automotive industry — internal copilot reduced average maintenance ticket response time by 40%, while keeping human approval on critical actions.
Pipelines that combine business rules, classification models, and on-demand human review to solve tasks that used to take hours of manual work.
Example: Logistics — automated extraction and validation of fiscal documents, cutting rework by 75% and freeing the tax team for strategic analysis.
Detection, classification, and visual analysis models applied to inspection, quality control, and real-time operation monitoring.
Example: Automotive industry — visual inspection system reduced part evaluation time by 35% without increasing false-positive rates.
Short validation sprints and proofs of concept that rigorously answer whether an AI idea is viable, worth the investment, and how it should be built.
Example: Financial services — a 4-week discovery determined that a fraud-prediction use case was technically feasible but cost-prohibitive, avoiding R$2M in unnecessary development.
Complete applications — frontend, backend, and models integrated — designed for the specific context of your operation. We're not a generic plugin factory.
Example: Healthcare — internal triage platform with AI processes 30k visits/month, integrating proprietary models into the existing clinical workflow.
