One mission. An evolving approach.

Technology to
end suffering.

Our mission is to end suffering for all living beings. From personalized neurofeedback to AI that models populations and improves shared conditions, the approach has evolved. The mission has stayed the same.

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My products

Explore everything I’m building.

Life Manager, Anicca, Honne, and more. All my products, together in one place.

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The founder’s story · Daisuke Narita
“How can we
end suffering?”

I began practicing Vipassana around the age of 16. What started as a question about my own suffering grew into a question about suffering in the world.

In graduate school, I began asking how technology could help. Today, I’m building Anicca to work on that same question at a broader scale: the conditions and environments that shape our lives.

Personal practice

Finding Vipassana

Exploring suffering and attention through my own meditation practice.

Graduate research & IACS

Personalized neurofeedback

In graduate school, I studied personalized decoders using brain and pupil data. At the Institute for Advanced Consciousness Studies (IACS), I implemented auditory neurofeedback using 64-channel EEG to turn estimated attention states into sound.

Now & what comes next

From individual feedback to shared conditions

Using synthetic populations and behavioral models to investigate which changes could help, then testing those ideas against real outcomes.

Manager · Vision & progress

Understand the world.
Learn by changing it.

Manager is our long-term vision for an AI that improves the conditions of life for all living beings, ultimately across the universe. We begin with components we can build and measure.

01 ObserveGather real-world evidence
02 ModelRepresent populations and environments
03 CompareCompare changes and uncertainty
04 ActTest authorized interventions
05 LearnImprove from observed outcomes
Implemented & measured · Population synthesis

Synthetic people. Intact households.

441,570 households

Using Rhode Island public statistics and PUMS, we generated 1,042,763 synthetic people. The output audit found no membership errors, duplicate IDs, or copied-attribute mismatches.

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What we have yet to validate

Building a population is one step.
Predicting behavior comes next.

Behavior prediction and real-world intervention effects have not yet been evaluated. Population synthesis results do not establish reduced suffering or financial returns.

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Ideas and research that came before us

A long history. A new set of tools.

From feedback control and artificial societies to AI-driven policy design, we study what earlier work built, how it works, and what it actually demonstrated.

History & science fiction

The idea of modeling a world

Wiener, Forrester, and Cybersyn; Foundation and the Culture. Exploring the connections between imagined futures and technical systems.

Read the sourced article ↗
Under the hood

MiroFish、Goodfire、Numerai

Simulated societies, neural-network mechanisms, and forecast evaluation. Different systems, different questions.

Explore the mechanisms ↗
Related work

AI Economist、Simile、Aaru

Research on policy design and human responses, with attention to each project’s goals, data, and evidence.

Compare the approaches ↗

These references do not imply an affiliation or endorsement. Research articles linked here are currently in Japanese.