Nomic AI

Nomic's August 2025 Aurecon case study reports that its Gen AI team observed a 30% productivity increase on tasks using Nomic and savings of 5–10 hours weekly, while describing developer-API integration into internal RAG and data workflows.

Nomic Atlas is used by thousands of data scientists, engineers and enterprises, with enterprise deployments including Aurecon and other AI/data teams.

Nomic Atlas is used by thousands of data scientists, engineers and enterprises, with enterprise deployments including Aurecon and other AI/data teams.

Nomic documents nested Matryoshka embedding representations with selectable dimensions from 64 to 768 and truncation or binary representations for smaller storage footprints.

Nomic develops multimodal embedding models, Atlas visualization/curation infrastructure and retrieval tooling for text, image and AI-generated data.

Nomic develops multimodal embedding models, Atlas visualization/curation infrastructure and retrieval tooling for text, image and AI-generated data.

Nomic identifies technical leadership with specific prior work: CEO Andriy Mulyar previously trained language models on radiology reports at Rad AI, while CTO Ben Schmidt created Deepscatter and oversees drawing/model-data engineering. This adds named organizational capability beyond enterprise platform controls.

Nomic operates an enterprise-ready AI data platform with SOC 2 Type II controls, strategic commercial partnerships and large workforce deployments such as Aurecon.

Nomic operates an enterprise-ready AI data platform with SOC 2 Type II controls, strategic commercial partnerships and large workforce deployments such as Aurecon.

Nomic spans open-weight embedding models with open data and training code, multimodal text/image retrieval, Atlas data visualization and dataset tooling, production embedding APIs, document parsing and agent APIs with regional enterprise deployment, supporting portability across model research, data engineering, retrieval, document AI and production-agent systems.

Embeddings, retrieval, vector search, multimodal data and AI-data-platform skills transfer broadly across RAG, search, analytics and model-development companies.

Embeddings, retrieval, vector search, multimodal data and AI-data-platform skills transfer broadly across RAG, search, analytics and model-development companies.