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Data · Verification · Research

See the unseen, with data.

Analysis, verification and research for media, finance, communications, retail, research and the public sector.

6sectors
26services
7example scenarios
4steps to delivery
Choose your sector

A solution for every sector's own question.

Example scenarios

One question, one method, one deliverable.

How the work runs, in illustrative cases.

Verification

Old footage, presented as new

  1. Situation

    During a disaster, a video captioned 'filmed just now' spreads fast.

  2. What we do

    The skyline, shadow angles and image traces are compared with open maps and archive records.

  3. Delivered

    A technical verification report showing the footage was shot years earlier elsewhere: findings, method, confidence level.

Crisis analysis

The 'bug in the product' campaign

  1. Situation

    Thousands of posts hit a food brand under the same hashtag within hours.

  2. What we do

    Account creation dates, posting times and links between accounts are analysed without personal data.

  3. Delivered

    A crisis report showing whether most of the backlash came from new, coordinated accounts posting in the same minutes.

Big data

Different names, the same link

  1. Situation

    You have tens of thousands of pages of tender documents and trade registry notices.

  2. What we do

    The documents are scanned and company, director and ownership records are matched.

  3. Delivered

    A network map showing differently named companies tied to the same management links in public records.

Forecasting

Where will rents rise?

  1. Situation

    Ten years of a city's property prices, building permits and migration data.

  2. What we do

    The data is modelled neighbourhood by neighbourhood, with uncertainty ranges.

  3. Delivered

    A research file and map showing the neighbourhoods where rent rises may concentrate over five years.

Simulation

What if the currency jumps?

  1. Situation

    The prospect of a sudden currency jump or a supply-chain break.

  2. What we do

    A scenario model is built from the group companies' input, stock and sales data.

  3. Delivered

    A vulnerability map of which units would struggle in the first 48 hours, with a list of precautions.

Early warning

'The tap water smells' complaints

  1. Situation

    A run of 'the tap water smells' complaints from local sources in one district.

  2. What we do

    Complaints are clustered by topic and place and compared with the usual level.

  3. Delivered

    An early-warning note to your editor before the story reaches the national agenda.

Interactive content

What does it mean for my pay?

  1. Situation

    A story on new tax brackets or the minimum wage runs as plain text.

  2. What we do

    A calculator is designed where readers enter their own pay and spending.

  3. Delivered

    A tool embedded in the story showing the net effect on the reader's pocket — and longer time on page.

How we work

Four steps from question to delivery.

01

Question

Which decision will it support? Scope, region and timing are agreed together.

02

Data

Public sources and the data you may lawfully share are listed.

03

Analysis

A model, map or classification is built; limitations are noted.

04

Delivery

A report, dashboard or embedded module — with method and confidence level.

How we handle data

Work with confidence.

Open sources and consent

Only open sources and consent-based data.

Privacy first

Personal data is assessed separately and anonymised.

Delivered with method

Every report with its sources and confidence level.

Confidentiality

Your information stays yours.

Bring your question — we'll find the answer in the data.

Request a proposal

Tell us about your project and we'll scope it together.

We start with a short call.

Three people working over a map on a laptop screen and a chart printout
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