Social Technology Lab - Applied AI for institutions that can't afford to lose control

Applied AI for institutions that can't afford to lose control.

We bridge the gap between what AI can do and what institutions actually use. We turn cutting-edge capability into operational systems organizations can own and sustain.

We work with teams in climate, democracy, healthcare, and education.

The Problem

Most AI is built to maximize convenience, automation, and ultimately dependency.

The institutions solving society's hardest problems need advanced AI capability. But they can't accept black-box systems from vendors they can't leave. They need technology they can understand, modify, and take responsibility for.

The market doesn't serve them. Consultancies optimize for billable hours. AI vendors optimize for lock-in. Startups optimize for scale. And the gap between what AI can do and what these institutions actually use keeps growing.

STL exists to close that gap, on terms that keep institutions in control.

Learn more about who we are

We write about why institutional AI fails and what it takes to make it work.

Read our insights

What We Do

Learn more about what we do

How we work, what we deliver, and on what terms

Who we've worked with

Echo
Merck
de Bibliotheek Flevomeer
Sociale Verzekeringsbank
Beiersdorf
Gemeente Amsterdam
Slachtofferhulp Nederland
Open State Foundation
Provincie Flevoland
Universiteit Leiden
UvA
NLR
VU
Beyond Weather
MinSZW
Ministerie van Binnenlandse Zaken en Koninkrijksrelaties
Blosse
University of Connecticut
Echo
Merck
de Bibliotheek Flevomeer
Sociale Verzekeringsbank
Beiersdorf
Gemeente Amsterdam
Slachtofferhulp Nederland
Open State Foundation
Provincie Flevoland
Universiteit Leiden
UvA
NLR
VU
Beyond Weather
MinSZW
Ministerie van Binnenlandse Zaken en Koninkrijksrelaties
Blosse
University of Connecticut

The course Social Technology Lab put together for us was one of the most thorough, in-depth, and inspiring moments of knowledge transfer I have experienced. The others and I left the room after eight hours with more energy than when we walked in, our heads full of relevant concepts and artifacts we can use for applying IAMA and creating our AI Governance plan. Chapeau!

The STL Contract

Five principles that define how we work:

1

Independence over growth

2

Sovereignty over convenience

3

Responsibility over neutrality

4

Context over templates

5

Impact funded by profit, not charity

AI isn't neutral. Neither are we.

We work only with teams trying to fix the future, not sell it.

Working on a problem that matters?

SocialTechnologyLab

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