Proforma Global Research

Research

Whitepapers on LLM architecture, training design, and enterprise agent architecture. Evidence of how the firm thinks, published as intellectual capital. Updated 2026-05-18.

Proforma Global publishes whitepapers across the firm's subject areas. The library is organized below by subject; each subject contains one or more series, and each series is a coherent sequence of papers on a single topic.

LLM Architecture & Training Design

Research on novel concepts in LLM architecture and training design. Reinforcement-learning-driven training control, self-discovering architectures, and forensic interpretability of trained transformers.

  1. 01 Training Substrate (4 papers) Reinforcement-learning-driven control of the training loop, self-discovering architectures, and the layer-role taxonomy that surfaces when those mechanisms are applied at scale.

Enterprise Agent Architecture

Production engineering of multi-discipline AI agent systems for enterprise environments. Orchestration design, deterministic-first architectures for financial systems, and the data architecture that lets agents reason against complex organizational data.

  1. 01 Agent Orchestration (3 papers) How orchestration of enterprise agent systems should be designed. Where language-model-driven orchestration fails, the five canonical patterns, and the deterministic-first discipline required when agents touch financial systems.
  2. 02 Data Architecture for Enterprise Agents (4 papers) The data architecture that enterprise agents require in order to reason reliably. Each paper treats a separable component of the substrate the model consumes.
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