Dharma AI
A conversational study companion grounded in classical Buddhist source material and translated citations.
DIANNT / Technical studio / San Francisco
DIANNT is Nikita Annt’s technical studio. Its work spans AI products, game worlds, neurotechnology, and financial infrastructure.
Field record / 2014—present
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.
A portfolio-spanning tenure from 2014 exchange infrastructure through current AI products.
Pre-seed figure reported in the preserved founder portfolio for the Le Zoo studio era.
Founder-reported reach across in-person and online meditation teaching during the ACI period.
Founder-reported research submissions since August 2025; this is simulation volume, not investment performance.
A conversational study companion grounded in classical Buddhist source material and translated citations.
A social MMO shaped by behavioral signals, EEG-informed research, and agent-assisted game production.
An EEG wearable, sleep-data pipeline, and consumer neurotechnology stack for lucid-dream research.
An agentic marketing workspace that moves from niche research to campaigns, creative, and landing pages.
A multiplayer text RPG where generated narrative state is expressed as branches, commits, and merge paths.
A multilingual course and CRM platform built alongside years of classical Buddhist study and teaching.
Working range
DIANNT works from investigation through architecture, interface, and production—without losing the source signal along the way.
agent / retrieval / eval
Productized AI that connects source data, model behavior, human review, and a usable operating surface.
state / signal / play
Interactive systems where world state, behavioral signals, and embodied research shape the experience.
corpus / course / conversation
Learning platforms that preserve source context from curriculum operations through conversational interfaces.
Open channel / San Francisco
The best collaborations start with a real research or systems problem, not a feature checklist.