Spiral
Data infrastructure for physical AI
About Spiral
Spiral is building the data infrastructure that AI actually needs. We enable teams developing models in complex domains, such as weather & climate, financial, time-series, genomics, point-clouds, videos, and images.
Pitch deck breakdown
How Spiral would pitch themselves.
Target customer
Physical AI — the core audience Spiral's product is built around.
Problem they solve
Spiral is building the data infrastructure that AI actually needs. We enable teams developing models in complex domains, such as weather & climate, financial, time-series, genomics, point-clouds, videos, and images. The category has historically been served by tools that miss the modern workflow this product is built around.
Key differentiator
Spiral differentiates on data infrastructure for physical ai. $0 raised — the company has resources + validation to compound this thesis.
Go-to-market strategy
Series-A scaling stage — building outbound sales motion, hiring first AEs, layering on customer success. Mix of PLG (where the product allows) + direct sales for higher-ACV deals.
Spiral website preview
Company facts
- Category
- Dev Tools
- Funding stage
- Series A
- Total raised
- $0
- Founded
- 2020
- Team size
- 11–50
- HQ
- San Francisco, United States
- Country
- United States
- Website
- spiraldb.com
Frequently asked questions
What does Spiral do?
Spiral is building the data infrastructure that AI actually needs. We enable teams developing models in complex domains, such as weather & climate, financial, time-series, genomics, point-clouds, videos, and images.
Where is Spiral based?
Spiral is based in San Francisco, United States, United States.
When was Spiral founded?
Spiral was founded in 2020.
How much has Spiral raised?
Spiral has raised $0 in their Series A round.