Autonomy mark AUTONOMY DATA UNIT
ADU 1430.2  ·  Capability Standards  ·  Est. 2020
National public-interest
data science unit
Section 0.0
Cover

Autonomy
Data Unit.

Six data scientists and machine-learning engineers. We point frontier methods at power, and we have done it for unions, charities, newsrooms and campaigners since 2020.

The data arm of
the public interest.
Built inside the
Autonomy Institute.


We used to build this for hedge funds. Now we build it for everyone else.
Frontier methods · Movement values
Section 1 / Capabilities

Four
things we
do well

Each one runs end to end, from raw filings to a thing you can actually use. We scope, build, and hand it over.

01

Network analysis

We scrape filings, donations, contracts and the open web, then use LLMs to pull out entities and the links between them. The output is a map of who is connected to whom, and how the money moves.

Givers & Takers · Six Degrees of Reform
02

Economic & labour modelling

Microsimulation, input-output models, and bespoke indices. We build the number when the official statistics do not exist yet, or do not break down the way the question needs.

The Property Premium · Jobs at Risk Index
03

Document intelligence

We read documents at a scale a research team never could. LLM extraction across millions of pages turns annual reports, registers and PDFs into a clean, queryable dataset.

Risks to British Business · AI Exposure Index
04

Tools & data products

Searchable databases, trackers and indexes that outlive the report. We ship the public-facing site, not just the spreadsheet behind it, and we keep it running.

Care Visa Database · Arts Funding Tracker
Section 2 / Selected Work

Greatest
hits

A dozen projects from the last six years. Most are live and public. Click through.

Section 3 / Partners

Who
we work
with

Public bodies, unions, foundations and newsrooms. Some of the names from the last six years.


AI Security Institute Joseph Rowntree Foundation Joseph Rowntree Reform Trust Equity Unite the Union ITUC Good Law Project Bureau of Investigative Journalism Centre for Investigative Journalism Future Economy Scotland Spotlight on Corruption TfL / GLA
Section 4 / The Unit

Six
people

A small team inside the Autonomy Institute. Each of us ships work, not slides.

4.1

Lukas Kikuchi

Lead. Machine learning and data engineering. Builds the pipelines and keeps them running.

4.2

Bhargav Srinivasa Desikan

Data science and ML research. Works out what the model should actually be doing.

4.3

Sean Greaves

NLP and network analysis. Turns scraped text into entities and the links between them.

4.4

Sonia Balagopalan

Investigations and political data. Finds the story buried in the filings.

4.5

Luiz Garcia

Economic modelling. Microsimulation, indices, and the maths behind the headline number.

4.6

Jeremy Kwok

Forecasting and statistics. Nowcasting models and the things that have not happened yet.

Got a question
worth pointing
data at?
adu@autonomy.work
Most of our work starts with a conversation, not a brief. Built inside the Autonomy Institute.