Fusion

Secure, hyper-personalized Generative AI, ready to scale

Six modules that enter the company's operation already governed: access through corporate login, several AI models available and usage, cost and quality under control.

Talk to a specialist

Leader in Generative AI in Brazil, ISG Provider Lens™ 2025

The platform

What is Fusion BRQ?

Fusion BRQ is our Generative AI platform. Instead of a loose tool per department, it is a set of modules that share the same base of access, control and observability, and that run on the market's leading models and clouds.

  • Leader in Generative AI in BrazilISG Provider Lens™ 2025

Results

Generative AI that delivers real business results

  • 90%Efficiency gain in business and development processes
  • 60%Reduction in operating costs
  • 63%Less time to turn data into insights

Results we delivered for Santander with Generative AI.

Watch the case
Modules

Plug & play solutions from Fusion BRQ

Six modules already in operation: four where the work happens and two that control and measure that work.

Where the work happens

  • Studio

    Fusion Studio

    Fixes the scattered access to AI, with every department trying a different tool and sensitive data out of control. Brings several models, agents shared across departments and the company's own knowledge into a single secure environment, reached through corporate login.

    Fusion Studio screen: agent creation panel on the left, with name, instructions and model choice, and the chat open on the right.

  • Agents

    Fusion Agents

    Fixes the work that depends on queues, scarce specialists and manual handoffs. Specialized agents run each step of the process and hand the decision back to a person at the critical points. Capacity that scales without growing the team at the same rate.

    Fusion Agents screen: a squad pipeline chaining the PO, tech lead, back end, front end and QA agents, with back end and front end marked as running in parallel.

  • Modernization

    Fusion Modernization

    Takes on the old system nobody documented and that blocks any change. Agents retro-document the code and surface the business rules hidden in it, giving a basis to decide between modernizing, migrating or retiring the legacy, with less risk and less cost.

    Fusion Modernization screen: new project form, with the choice between rewriting in a modern stack or refactoring in place, next to the list of projects in Natural, COBOL and mainframe.

  • Engineering

    Fusion Coding

    Fixes AI in development with no standard and no control. It runs on market-standard tools under corporate rules, with skills and tools (MCPs) that carry the company's standards to the agent, and with all usage measured per project.

    Fusion Coding telemetry panel: total requests, success rate, average response time, cost and output speed, with charts of volume per hour and usage by model.

What controls and measures that work

  • Governance

    Fusion Governance

    It is the AI Enablement layer: what makes it possible to scale AI use without losing control. It routes each request to the right model, applies quotas and guardrails, controls access and tracks cost, latency and quality per project.

    Fusion Governance panel: total traces tracked, cost by model with tokens and dollar value, and charts of traces and cost over time.

  • Delivery

    Fusion Team Care

    Fixes the lack of visibility over where delivery is getting stuck. It monitors the productivity and quality of squad cycles, shows the bottleneck with data and raises actionable alerts, allowing a quick correction before the deviation reaches the client.

    Fusion Team Care panel: squad health score with a written flow analysis, the four dimensions of the score, open alerts and lead time and weekly delivery indicators.
Foundation

What holds the modules up

One base shared by every module: access, control and freedom of cloud and model.

  • Access and permissions

    The login the company already uses

    Authentication and authorization integrated with the corporate directory. Each person sees and does only what their role allows.

  • Gateway to the models

    A single path to AI

    Every request goes through the same door: routing to the right model, quotas, guardrails and secret management.

  • Monitoring

    Every use leaves a trace

    End-to-end observability, response evaluation and a read on cost and latency per project.

Models we already operate with

  • Claude
  • GPT
  • Gemini
  • Open-source LLMs

Where the platform runs

  • AWS Bedrock
  • Azure
  • Google Vertex
  • On-premises infrastructure
Ecosystem

An ecosystem that grows piece by piece

You can add an agent, switch the AI model behind it or connect a new system. Nothing has to be rebuilt.

  • Fusion Agents agent catalog, in cards by role, with a filter by model.

    Agents

    A modular catalog, with one agent per role: PO, tech lead, QA, back end, front end and reviewer.

  • List of Fusion Agents workflows, each showing the sequence of agents that makes it up.

    Workflows

    Configurable pipelines, from the full squad to the lean flow of a bug fix.

  • Fusion Agents skill catalog, in cards with the name, description and arguments of each ability.

    Skills

    Pluggable abilities any agent can use, such as code review, design extraction from Figma and Jira syncing.

  • List of MCP servers configured in Fusion Agents, grouped by tool category.

    MCPs

    Native connectors for the tools the team already uses, and custom servers when the client needs them.

A modular platform, independent of the AI engine. The intelligence is in the whole ecosystem, not in a single model.

Take the next step toward success with BRQ.

Schedule a conversation with our specialists and discover how to put Generative AI at the center of your operations, with Fusion.

Get in touch