Dharma AI
A conversational study companion grounded in classical Buddhist source material and translated citations.
Read case study →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.
Read case study →A social MMO shaped by behavioral signals, EEG-informed research, and agent-assisted game production.
Read case study →An EEG wearable, sleep-data pipeline, and consumer neurotechnology stack for lucid-dream research.
Read case study →An agentic marketing workspace that moves from niche research to campaigns, creative, and landing pages.
Read case study →A multiplayer text RPG where generated narrative state is expressed as branches, commits, and merge paths.
Read case study →A multilingual course and CRM platform built alongside years of classical Buddhist study and teaching.
Read case study →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.