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Consulting & Product Strategy

CONSULTING&PRODUCTSTRATEGY

We give product decisions a technical shape.

We analyze stacks, architectures, processes and constraints before they become delivery problems. We also use AI to read large codebases, identify patterns, map behaviors and expose what usually stays buried inside legacy systems.

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/Solution001

The tech output

  • •Assessment of the existing stack, operational flows and main technical constraints.
  • •Architecture design for new products, refactoring, migrations or the evolution of existing platforms.
  • •Technical roadmap with priorities, risks, dependencies and implementation choices.
  • •AI-assisted analysis of complex codebases, dependencies, recurring patterns and critical areas.
  • •Mapping of existing behaviors to understand what to keep, what to fix and what to rewrite.
/Solution002

Real use cases

  • •Companies starting a new digital product and trying to reduce technical ambiguity early.
  • •Teams carrying technical debt that need to decide what to keep, evolve or replace.
  • •Organizations choosing technologies, architectures or partners before investing in development.
  • •Product owners and CTOs looking for independent technical judgment that can still get down to code.
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Our stack

  • •Architecture design focused on scalability, maintainability, security and integration.
  • •Analysis of frontend, backend, databases, infrastructure, APIs and release processes.
  • •Technical prototypes and proofs of concept when a decision needs fast validation.
  • •Operational documentation, guidelines and support during implementation.
  • •AI tools supporting code review, legacy analysis, technical documentation and test definition, with human validation on every relevant decision.

Why Kuama

From context to code
We understand processes, constraints and goals first. Then we turn them into architectures, interfaces and maintainable software.
Implementation included
We do not stop at consulting: technical decisions are backed by development, integration and delivery.
Systems that integrate
We work on new software and existing systems, with attention to data, APIs, legacy and operational continuity.
AI where it actually helps
We use AI tools to speed up analysis, development, testing and maintenance. Not to replace technical responsibility, human review or code quality.
Autonomous teams
We enter projects with responsibility, method and coordination skills, even when the context is complex.
sharing ideas

The first step toward a stable project

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Results log

All the cases that passed our tests.

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