Domyn provides sovereign, customizable AI solutions that run in fully isolated, air‑gapped environments, giving organizations complete control over their models and data. Their secure, single‑tenant deployments meet strict regulatory requirements for high‑stakes industries, and the AI is built with domain‑expert guidance to address mission‑critical challenges.
Funding
$27.5M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Enterprises in regulated sectors face strict compliance requirements and high security risks when adopting AI, yet most commercial AI services rely on shared cloud infrastructure and expose proprietary data to external networks. This creates barriers to leveraging AI for mission‑critical workloads where data sovereignty, air‑gap deployment, and full model ownership are mandatory.
Solution
Domyn offers a sovereign AI platform that lets organizations build, customize, and run their own large language models in isolated, single‑tenant environments. The platform provides end‑to‑end control over the AI stack—from proprietary LLM training on company data to deployment on on‑premises or private‑cloud infrastructure—ensuring no external network exposure. Integrated governance tools enforce regulatory‑grade compliance (SOC 2, GDPR, ISO 27001) and industry‑specific safeguards, while a modular architecture enables rapid configuration without deep technical expertise. Advanced MLOps capabilities support continuous versioning, scaling, and performance monitoring, and the optional Colosseum supercomputer delivers high‑throughput compute for large models. By combining AI sovereignty with domain‑expert‑driven model adaptation, Domyn enables risk‑free AI adoption in high‑stakes environments.
Target Audience
Primary customers are large enterprises in regulated industries—such as finance, healthcare, energy, and government—that require secure, compliant AI deployments and full control over model ownership.
Features
- Air‑gapped, single‑tenant deployment with dedicated resources, eliminating external network dependencies
- Proprietary LLMs that can be continuously pre‑trained on a company’s own data and industry terminology
- Full model ownership and IP containment, allowing enterprises to retain complete control over their AI assets
- Built‑in compliance framework meeting SOC 2, GDPR, ISO 27001 and sector‑specific regulatory standards
- Modular, low‑code interface for designing, orchestrating, and scaling custom AI solutions without extensive engineering effort
- Integrated MLOps suite for versioning, monitoring, and optimizing model performance throughout the lifecycle
- Composite AI orchestration that combines predictive models, ML algorithms, and LLMs to address diverse tasks
- Optional access to the Colosseum supercomputer for high‑performance training and inference of trillion‑parameter models