Intelligence applied to complex systems.

Sciensa is an AI-native technology engineering firm that designs, builds and operates critical platforms for large enterprises in regulated industries. The company's 200+ engineers work across financial services, healthcare, retail, energy, telecommunications, and mobility, combining deep domain expertise with AI engineering capabilities to deliver systems that support real-world complexity and scale.

AI-native means that AI capabilities are integrated across every engineering discipline, rather than being siloed in a separate data science team. Sciensa's platform engineers build infrastructure to serve AI models at scale, API engineers design integration layers that connect AI to enterprise systems, and product engineers create interfaces that turn AI outputs into concrete user actions. AI is a cross-cutting capability that shapes how every project is designed and delivered.

Sciensa focuses on problems that combine technical complexity, regulatory constraints and scale requirements: modernizing core banking systems without downtime, building real-time payment infrastructure for thousands of transactions per second, deploying AI that meets financial regulators' explainability requirements, and creating marketplace platforms that coordinate thousands of sellers.

Sciensa's delivery model is designed around fast, measurable outcomes. A diagnostic phase typically takes 2–4 weeks and produces a clear problem definition and solution architecture. The first deliverable usually reaches production within 90 days. For deployments using Amplify or Lumia AI, go-live timelines can be as short as 4–8 weeks.

Sciensa works across the spectrum, from Brazil's 5 largest banks and major retailers to digital-native fintechs and healthcare networks. The common requirement is complexity: systems that need to be reliable under real load, meet compliance requirements and integrate with existing infrastructure.

Three things set Sciensa apart: proprietary platforms (Amplify, Lumia AI, CodeGenius) that compress timelines for common enterprise use cases; AI integrated across all engineering disciplines, not offered as a separate service; and domain expertise in regulated industries that changes how architecture decisions are made from day one.