In development
INDEXIS /OPEN SOURCE
We are preparing data on open source.
INDEXIS operates as a data provider.
Details to follow shortly.
INDEXIS Independent research and analytics institute
Data before the debate.
We deliver objective indicators and analyses of the issues that will soon dominate public debate.
Research programme
Proprietary data infrastructure. Our analytical edge.
We operate our own advanced data platform. It is where we source unique information that rigorous methodology turns into reliable knowledge. In our data-driven approach there is no room for guesswork.
Method in development
INDEXIS AI Maturity Index
Which companies communicate their AI adoption most concretely?
The flagship Index is a comparison of 500 companies implementing AI in their operating processes, built on publicly described technology use cases.
We measure the public communication of deployments, not their actual extent. A lack of communication does not mean a lack of deployment.
A new product joins the INDEXIS programme when it addresses an important or emerging issue, is powered by proprietary data and can compare named entities or phenomena.
The INDEXIS standard
A finding should be clear, verifiable and ready to quote.
We do not publish opinion pieces. Our research rigour rests on hard metrics and a structured information architecture, delivering a complete picture of the market and social landscape.
Structured knowledge
One precise conclusion that can be quoted without distortion.
Hard measurability
Key numbers with the correct unit, period and update date.
Comprehensive coverage
A comparison of named countries, companies or phenomena in full context.
Verifiable sources
The data scope placed next to the result, not buried in a footnote.
Repeatable methodology
Enough detail to reproduce and correctly assess the result.
Clear research scope
A clear boundary between what is and is not measured.
Analytical synthesis
What we see, what it means and what follows from it.
Founder
Aleksander Fafuła, PhD — Founder of INDEXIS.
An economist specialising in data-driven, evidence-based analytics. He builds systems that support decision-making, delivering reliable knowledge to organisations, public institutions, media, companies, investors and the wider market. He has developed AI, big-data and analytics systems since 2007. He is a former Chief Data Scientist at California-based MarketPsych, which developed Thomson Reuters market-sentiment indices for financial institutions, including firms operating on Wall Street.
INDEXIS delivers fact-based knowledge through process automation, repeatable measurement and dispassionate analytics.