# Symbolic

- **Website:** <https://symbolic.systems>
- **Primary alias:** `symbolic.systems`

## Description

Symbolic Systems is an AI solutions company based in Ann Arbor, Michigan, with additional locations listed in San Francisco and Jackson Hole. Its team builds enterprise AI agents and automation designed to improve customer experiences and streamline business operations. Offerings include intelligent contact center agents for contextual customer service, custom business automation, and advanced technology projects involving AI implementation, machine learning, and system integration. The company also provides tools and services for autonomous agents, ontology-based knowledge management, AI safety guardrails, agent evaluation, automated red teaming, and workflow automation. Its impact studies feature work across financial technology, manufacturing, defense, healthcare, and IT services. Examples include GenOS, a generative AI operating system for enterprise finance; a conversational quality-control assistant for Ford’s F-150 production; and an AI-powered tobacco cessation tool developed with Mayo Clinic expertise. Other projects include automation for CDW and autonomous systems work in defense and research. Symbolic Systems positions itself as a team of builders helping organizations apply AI to customer interactions, workflows, and complex technical challenges.

## Industries

- 🖥 Computers Electronics and Technology
- 🖥 Artificial Intelligence and Machine Learning _(under Computers Electronics and Technology)_
- ⛑ Health
- ⛑ Addictions _(under Health)_

## Logos & icons

- logo _(primary)_ — PNG — [download](https://cdn.brandfetch.io/idtiAwtsGO/w/1190/h/896/theme/dark/logo.png?c=1bxid64Mup7aczewSAYMX&t=1791348506859)

## Colors

| Name | Hex | Theme |
| --- | --- | --- |
| Meteorite | #411d77 | accent |
| Resolution Blue | #012680 | dark |
| Melrose | #a6bdfe | light |

## Fonts

- ui-sans-serif — asset _(custom)_

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_Source: <https://brandfetch.com/symbolic.systems>_
_See [/llms.txt](/llms.txt) for a full list of agent-readable pages, and [/auth.md](/auth.md) for how agents authenticate._