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Atrianna / Integration

Our brains, connected to the way you already work.

One intelligence, several ways in.

Every organization works differently. We have several integration paths, so Atrianna's contextual brains can meet each team where it is—from the AI tools people already use to dedicated platforms and fully custom systems.

Your teams keep their tools and habits. What changes is the depth of data and insight they can reach.

Request a demo

Four ways to connect

  1. 01

    Inside your AI assistant

    OpenAI ChatGPT or Anthropic Claude

    We integrate our capabilities directly into the ChatGPT or Claude environments your teams already use. No new tool, no new skills to learn—the experience feels the same.

    What changes
    The difference is the data and insight they can now access.
    Best for
    For teams that want intelligence without changing how they work.
  2. 02

    Standalone platform

    A dedicated Decision OS workspace

    For larger teams with bigger requirements, a standalone platform gives more room to adapt data, sources and workflows to the organization.

    What changes
    More control over data adaptability, scope and depth.
    Best for
    For robust teams with demanding data requirements.
  3. 03

    MCP and internal systems

    Connected to what you already run

    Through MCP and other integration methods, our brains can connect with internal systems, so organizational knowledge and Atrianna intelligence work together.

    What changes
    Insight flows into existing systems and processes.
    Best for
    For organizations with established internal tools and data.
  4. 04

    Custom brains

    Designed for a specific need

    When a question is unique to your organization, we design a custom brain around it—built in our Brain Lab and curated by our experts.

    What changes
    A system shaped around your decisions and context.
    Best for
    For companies with specific needs no standard setup covers.

Choosing the right path together

We start with the decisions your teams need to make, the tools they use today and the information boundaries that apply. Together we select one path, or combine several.

Integration details, data access and security arrangements are agreed with each organization before any connection is made.

What teams tell us

  • What we receive is not another dashboard. The evidence is connected to interpretation, scenarios and the decision we actually need to make.
    Regional General ManagerGlobal Company, Latin America
  • We moved from a collection of studies to an intelligence system we can keep interrogating. Previous learning becomes useful again when a new question appears.
    Strategy & Insights DirectorLeading Company, Peru
  • Connecting AI and behavioral science in this way really increases our ability to understand customers.
    Senior ManagerFinancial sector
  • We have a deep qualitative understanding and precise quantitative metrics of each member of the organization. We can go from individual granularity to detecting patterns across teams or countries, and we have improved the impact of our L&D processes because we can better understand what is really going on.
    Regional Head of HR, Latin AmericaFortune Global company
  • The value is in connecting signals that normally live in separate places—market data, culture, behavior, local context and expert interpretation. It helps us understand what is changing before it becomes obvious in the numbers.
    Regional Strategy DirectorMarket Leader, Guatemala
  • The system helps us connect weak signals with actual consumer tensions. It gives innovation teams a way to explore what might matter next without confusing exploration with prediction.
    VP InnovationLeading Consumer Brand, United States

Comments from client leaders. Names and companies are not disclosed.

Tell us where your teams work today.

We'll suggest the integration path that brings the most insight with the least disruption.

Request a demo