Eragon
Eragon

Eragon

Agentic AI operating system designed to replace traditional enterprise software interfaces with natural language prompts.

2025Active7San Francisco, United States

About

Eragon is building an agentic AI operating system that unifies enterprise data, tools, and workflows into a single prompt-driven interface. The platform post-trains open-source models on proprietary customer data, keeping all data secure within company servers. Users can prompt Eragon to handle complex tasks, automate workflows, and generate on-demand dashboards, transforming how businesses operate. Teams look it up for Agentic AI, AI Operating System, Enterprise Software.

Frequently asked

What does Eragon do?

Eragon is an Agentic AI company that offers Software. Teams look it up for AI Operating System, Enterprise Software, Foundation Model. It is based in San Francisco, United States and was founded in 2025. Public records show about 7 people and $12M raised. Compare it on funding, headcount, reviews and nearby alternatives rather than the marketing line alone.

How much funding has Eragon raised?

Eragon has raised a total of $12M in funding. The most recent round on record is Seed.

Where is Eragon headquartered?

Eragon is headquartered in San Francisco, United States.

When was Eragon founded?

Eragon was founded in 2025.

What industry does Eragon operate in?

Eragon operates in Agentic AI, AI Operating System, Enterprise Software, Foundation Model, Large Language Model.

How many employees does Eragon have?

Eragon has approximately 7 people on record.

Scores
Measured, not editorial
Ahrefs DR
40/100

Strength of the site’s backlink profile, on Ahrefs’ 0-100 Domain Rating scale. Licensed third-party data, not our opinion.

Agent Readiness
48/100

How well an AI agent can read and use this site: structured data, clean markup, and whether key facts are reachable without running JavaScript. We scan the live site.

Star ratings come from visitors, one per person per profile, and are shown exactly as given: we do not weight, curate or filter them. Reviews are published in full alongside the rating that accompanied them.

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