DIANNT / Technical studio / San Francisco

Hard problems.Clear signal.

Nikita Annt’s product studio. From EEG sleep research to source-grounded AI and living game worlds, we build the systems behind the experience.

An ASCII eye tracks a signal, identifies a dream state, and sends a timed cue. An illustration of the studio's perception, computation, and response work.

Field record / 2014—present

Built across the whole stack.

From exchange infrastructure and EEG hardware to AI agents and persistent game worlds—each system joins ambitious research to a product people can actually operate.

years building systems
10+

From Bitcoin exchange infrastructure in 2014 to current AI products.

Mother Games pre-seed
$5M

Reported studio funding during the Le Zoo era, not funding raised by DIANNT.

students taught
2.5K+

In-person and online meditation students during the ACI years, as reported by Nikita.

simulated alphas
27,199

Research submissions reported since August 2025. Simulation volume, not investment performance.

Working range

A studio for systems with depth.

Hardware and backend systems. Models and interfaces. The work connects research to software people can use, inspect, and maintain.

  1. 01

    agent / retrieval / eval

    AI product systems

    Retrieval with citations, agents with review steps, and evaluations that catch failures before release.

  2. 02

    state / signal / play

    Games and neurotechnology

    Unity worlds, persistent narrative state, and EEG pipelines for sleep and lucid-dream research.

  3. 03

    corpus / course / conversation

    Knowledge and education

    Course enrollment, exams, and student records, alongside multilingual tools for studying classical texts.

See the complete capability map

Open channel / San Francisco

Bring the difficult,unfinished thing.

Building an AI product, a learning platform, or an interactive world? Let’s talk about the technical problem and what it takes to ship.