# About | Envisioning

Source: https://www.envisioning.com/about

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# About Envisioning

Envisioning is a research institute that studies how institutions adapt to technological change.

Institutions have more information about what is coming than ever. Most still struggle to act on it. We study, measure and work on that gap.

The story

We started in 2010 mapping emerging technology: radars, timelines and scanning tools for companies, governments and multilateral organizations, more than 200 projects in over 25 countries. The [method](/methodology) is published and most of the research is open.

When language models got good enough to do structured research, we rebuilt every step around them and turned the method into [Signals](/signals), a platform our clients run themselves.

Over sixteen years, similar research produced different results in different organizations. The difference was rarely the technology or the information. It was whether the institution could notice the change, agree on what it meant, decide, test a response, and keep what worked.

What we study

Why can some institutions perceive change, make sense of it, coordinate around it, experiment and adapt, while others with the same information cannot? We call that adaptive capacity and break it into seven dimensions: sensing, sensemaking, decision, coordination, experimentation, learning and scaling.

The work has three parts. Signals and our open research map what is emerging. Capability benchmarks measure how well a country or an organization can respond. Our services strengthen the dimensions that come out weak. Evidence from each part feeds the model.

[Read the research program.](/capability)

How we work

Five things we do differently, and why each one matters.

### We ask several models, not one

Where models agree, a signal is probably solid. Where they disagree, something may be genuinely new. One model's answer is one opinion, and we treat it that way.

### Research is stored as data, not documents

Signals, metrics, categories, and sources are captured in a structure you can query later. That is why a question asked in March can be answered again in September without starting over.

### Models work at scale. People decide.

The machine handles scale and speed. People frame the question, read the result, and decide what it means.

### The output updates after delivery

What you get is a system that updates. Every item traces back to its source, and it is built for teams who need the current view rather than last quarter's.

### We work across three continents

Europe, Latin America, and the Middle East, through direct engagements and certified partners who deliver in their own regions and languages.

What we believe

AI makes scanning, synthesis and prototyping cheap enough to run continuously. Intelligence becomes abundant. The constraint moves to the institution: its ability to turn what it knows into coordinated action.

Research should be open. Most of what we produce is public, and partners and clients reuse our tools. Foresight has been expensive and therefore rationed. Our [manifesto](/about/manifesto) commits us to changing that.

Leadership and team

[Michell Zappa](https://www.michellzappa.com) (Founder & CEO) has led technology foresight programs since 2010, advising organizations and governments globally.

-   Thomaz Rezende, Partner and Head of Design;
-   Fabio Andrade, Partner and Head of Development;
-   Daiane Cavalheiro, Operations Manager;
-   Rodrigo Turra, Lead Researcher.

A small team covering product, research, facilitation, and design, working alongside a network of certified [delivery partners](/about/partners) around the world.

Brand

Our guidelines, logo files, and the words we use, for anyone presenting our work.

[View brand page](/about/brand)

Community

Join our WhatsApp group to exchange AI updates, foresight signals, coding experiments, and agent workflows with practitioners worldwide.

[Join our community](/about/community)

Manifesto

What we have committed to: open research, work delivered through partners, and tools that stay in use after the paid project ends.

[Read our manifesto](/about/manifesto)

## Events

Join us at upcoming events and workshops.

![Oct 7, 2026, 17:00](https://res.cloudinary.com/envisioning/image/upload/f_auto,q_auto:best/v1783254883/signals/events/2026-2027/03-deepfakes-digital-trust-crm-wide.png)

Oct 7, 2026, 17:00

Deepfakes & Digital Trust

A live STEEP scan on trust, provenance, and authentication as synthetic media becomes the default.

Online

[https://luma.com/envisi-a7ua](https://luma.com/envisi-a7ua)

![Oct 9, 2026, 15:00](https://res.cloudinary.com/envisioning/image/upload/f_auto,q_auto:best/v1772640486/events/lsdaldluotk0ijfdtmuv.png)

Oct 9, 2026, 15:00

Vibe Coding & Humanities

Workshop for vibe coding your first functional app during World Summit AI.

With Embassy of the Free MindAmsterdam, NL

[https://www.embassyofthefreemind.com/events/vibe-coding-humanities-47148](https://www.embassyofthefreemind.com/events/vibe-coding-humanities-47148)

![Oct 23, 2026, 10:00](https://res.cloudinary.com/envisioning/image/upload/f_auto,q_auto:best/v1790598348/events/c3b5953c-c656-41d7-829a-98f5d4b36345-9gl47x.jpg)

Oct 23, 2026, 10:00

IA para Foresight: prototipe sua ferramenta de sinais

Oficina prática de prototipagem com IA para pesquisa de futuros: introdução a sinais de mudança, demonstração do Signals e construção de protótipos com ChatGPT, Claude e v0. Sem conhecimento prévio de programação necessário.

With Casa FirjanRio de Janeiro, BR

[https://futurospossiveis.casafirjan.com.br](https://futurospossiveis.casafirjan.com.br)

[View all events](/events)

## Partner network

Certified collaborators who deliver our work in their own regions, with the local context we could not bring ourselves.

[/partners](/partners)[BFF](/partners)[/partners](/partners)[/partners](/partners)

[Explore partner program](/partners)

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