Macro Squared builds Python-powered automation systems for quantitative and qualitative workflows — enhanced with AI to turn complex data into reliable, scalable products.
We specialise in building internal systems that make teams faster, data clearer, and operations more scalable.
Replace manual tasks with resilient automation: extraction, transformation, reporting, and integrations.
Build high-quality pipelines for structured data, metrics, forecasting, and repeatable analysis.
Use AI to classify, summarise, search, and extract meaning from unstructured text and documents.
A few examples of the type of outcomes we deliver.
Consolidated multi-source data into a single pipeline with scheduled reporting and alerts.
Philips Consumer Electronics:
We automated quarterly reports, combining employee and consumer data. Creating 1000s of custom weighted deliverables for each of their global markets and categories.
Designed ingestion + validation to deliver clean, consistent datasets.
Amazon Prime Video:
We built data ingestion and validation processes, allowing them to track advertising data across their global campaigns.
Systematic tooling integrating LLMs, RAG and agentic decision making to handle Qualitative data.
Multiple companies:
Built AI workflows to summarise, categorise, and extract key fields from large document sets.
If you’re looking to automate data workflows, build intelligent systems, or explore AI-powered solutions, we’d love to hear from you. Our engineering lead Alex Simpson will be happy to talk.
Include a brief description of your problem, the type of data involved (quantitative or qualitative), and any timelines or constraints.