TECHNOLOGY & METHODOLOGY

Engineering the work
behind discovery.

We build research tools around the realities of scientific work: complex source material, computational constraints, evidence quality, and the need to reproduce and inspect results.

OUR ENGINEERING PRINCIPLES

Automation should make research more rigorous.

A useful workflow does not hide uncertainty or replace scientific judgement. It reduces repetitive work while keeping methods, decisions, and outputs inspectable.

01 / DATA

Preserve the source

Keep original research files distinguishable from derived data, extracted text, and downstream outputs.

02 / EVIDENCE

Keep claims traceable

Connect extracted values and scientific statements to their available source evidence and context.

03 / COMPUTE

Make workflows explicit

Use structured inputs, documented settings, deterministic processing, and bounded computational tasks.

04 / REVIEW

Keep researchers in control

Use explicit review points for scope, scientific interpretation, exclusions, and decisions that require expertise.

Scientific workflow illustration
METHOD / DATA / EVIDENCEAEQUO / 03
01INTEGRATED RESEARCH WORKFLOWS

Connect tools across the research lifecycle.

From literature preparation and result extraction to simulation analysis and manuscript development, Aequo's product direction is to connect specialised tools without hiding their boundaries.

01 Literature and source preparation
02 Structured data and model workflows
03 Computational analysis and reporting
SELECTED TECHNOLOGY ECOSYSTEM

Built around tools researchers already use.

The exact software stack is selected for each project; these are examples from the current development and research toolkit.

CP2KVASPORCAASEpymatgenPLUMEDMACELAMMPSPythonMDAnalysisNumPySciPyGNNMatplotlibOpenCodeAgent Skills