AuxoAI vs. Distyl AI
Both firms appear in our agentic workflow automation category and send forward-deployed teams into large enterprises. Here is how their scores, facts and best-fit buyers line up.
Updated October 2026
6.8
Large enterprises that want an embedded senior team to build and run AI agents inside their workflows.
Read the AuxoAI review
7.6
Large enterprises that want a forward-deployed team to rebuild a core workflow around AI and own the result.
Read the Distyl AI reviewScores side by side
| Criterion | AuxoAI | Distyl AI |
|---|---|---|
| Production track record | 7.0 | 8.3 |
| Technical depth | 7.5 | 8.0 |
| Industry depth | 7.0 | 7.4 |
| Delivery model and handoff | 7.5 | 7.6 |
| Commercial clarity | 5.5 | 6.4 |
| Platform independence | 7.0 | 7.0 |
| Stability and scale | 6.0 | 7.2 |
| Independent evidence | 6.0 | 8.4 |
| Overall | 6.8 | 7.6 |
Key facts
| AuxoAI | Distyl AI | |
|---|---|---|
| Headquarters | San Francisco Bay Area, California | San Francisco, California |
| Founded | 2023 | 2022 |
| Size | An estimated 200 to 250 employees; estimated revenue $25 million to $35 million | Not disclosed |
| Pricing model | Not published | Outcome-linked |
| Platform partners | Google Cloud (Gemini Enterprise), AWS Advanced Tier, Microsoft, Snowflake, Databricks | Not listed publicly |
| Typical clients | Global 2000 companies in manufacturing, consumer goods, healthcare, and telecom | Fortune 500 |
Which to choose
AuxoAI suits large enterprises that want an embedded senior team to build and run AI agents inside their workflows.
Distyl AI suits large enterprises that want a forward-deployed team to rebuild a core workflow around AI and own the result.