Nomic AI
Nomic AI is an AI infrastructure company dedicated to making large language models and massive datasets accessible and explainable through open-source tools and enterprise platforms.
At a Glance
- AEC (Architecture, Engineering, Construction)
- AI/ML Development Teams
- Enterprise IT
- Open Source Community
AI Tools by Nomic AI
(1)
GPT4All
Run LLMs Locally No Cloud
Discussions
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Latest News
Introducing AEC-Bench — Benchmarking AI Agents across Construction Tasks
Nomic Layout Meets Muna: On-Device Layout Models for Agents
Nomic raises $17 million led by Coatue to make AI more transparent
Nomic AI Releases Nomic Embed: A Fully Open Source Text Embedding Model
Products & Services
A platform for visualizing, interacting with, and curating massive unstructured datasets (text, images, embeddings).
An ecosystem of open-source large language models that run locally on consumer-grade hardware with privacy.
High-performance, open-source text embedding models with long context support (e.g., Nomic-Embed-Text).
An enterprise platform providing domain-specific agentic workflows for Architecture, Engineering, and Construction (AEC).
Market Position
Nomic distinguishes itself by combining state-of-the-art open-source models (GPT4All, Nomic Embed) with enterprise-grade visualization and workflow tools (Atlas), now specifically targeting the AEC vertical.
Leadership
Founders
Brandon Duderstadt
Co-founder and former CEO of Nomic AI. Previously a Senior Machine Learning Engineer at Square and Rad AI. AI Research Engineer at Johns Hopkins Applied Physics Laboratory. Johns Hopkins graduate.
Andriy Mulyar
Co-founder and current CEO of Nomic AI. Ukrainian immigrant. Previously a Machine Learning Engineer at Rad AI and a PhD student at NYU Courant. VCU graduate.
Executive Team
Andriy Mulyar
Chief Executive Officer
Co-founder and current leader of Nomic AI.
Brandon Duderstadt
Co-founder & Advisor
Co-founder and former CEO; now focusing on advisory and new ventures (Calcifer Computing).
Board of Directors
Founding Story
Founders Brandon Duderstadt and Andriy Mulyar met while working at Rad AI. They shared a vision of making AI more transparent and accessible, leading to the creation of Atlas and GPT4All.
Business Model
Revenue Model
SaaS subscriptions for the Atlas platform, seat-based pricing for enterprise workflows, and API usage fees for hosted embedding models.
Pricing Tiers
For individual developers and researchers.
Enhanced features for power users.
Enterprise-grade features and support for teams.
Target Markets
- AEC (Architecture, Engineering, Construction)
- AI/ML Development Teams
- Enterprise IT
- Open Source Community
- Architecture, Engineering, and Construction (AEC) firm knowledge management
- Dataset curation and cleaning for ML teams
- Private, local AI chatbots for sensitive data
- High-performance semantic search
- AEC firms
- Individual developers
- Research labs