Avra · Dispatch

Dispatch

Research notes, engineering work, and platform writing from the team. Relational models, temporal graphs, and the systems we put behind enterprise decisions.

RSS feed·7 posts
  1. Sep 4, 2026
    Platform

    LLMs vs. RFM: why ChatGPT can't predict your customer's next move

    LLMs read, summarize, and reason over language, but they can't tell you which customer will churn or default. Why prediction over structured business data needs a different kind of foundation model.

    Júlia Jordão·7 min read
  2. Aug 21, 2026
    Research

    Graph foundation models in production

    Part 3 of a three-part series on Avra's Graph Foundation Models: the measured performance gains from a live client deployment — where relational embeddings were the single largest driver of improvement — and what we're building next.

    Jonas Rodrigues·6 min read
  3. Aug 11, 2026
    Research

    Inside the Graph Foundation Model

    Part 2 of a three-part series on Avra's Graph Foundation Models: why heterogeneous graph neural networks, what the proprietary Large Knowledge Graph is, and the engineering decisions behind the model — Matryoshka embeddings, sampling at scale, and hard constraints.

    Jonas Rodrigues·16 min read
  4. May 26, 2026
    Company

    Forward Deployed Engineers: the future of enterprise AI is built inside the customer

    What Avra's FDEs actually do, and why enterprise AI in Brazil doesn't work without consultative deployment

    Júlia Jordão·9 min read
  5. Sep 24, 2025
    Research

    Decoding the DNA of the Brazilian economy

    Why we built a Graph Foundation Model to understand the Brazilian SMB ecosystem — and how graph-based AI can decode the risk and potential of millions of companies traditional systems treat as a black box.

    Bruno Alano·6 min read
  6. Sep 24, 2025
    Company

    The AI revolution in credit will be hyper-personalization

    Reflections from the CEO on Avra's starting point — and on why the right question in credit is no longer whether to lend, but under what conditions the operation makes sense for the company at that moment.

    Viviane Meister·2 min read