Turi

Name: Turi
Brand: Turi

Turi is a machine learning toolkit and library that enables developers and data scientists to build, evaluate, and export models—notably providing a documented export path to Core ML for on-device inference on iOS and macOS—and to implement recommenders, classifiers, and basic computer vision workflows.

Est 2013|Valuation $75.8M|Raised $25.3M

LinkedIn 5K|Website|FTEs 28

MarketsData Science & Machine Learning Platforms

01Competitive Landscape

Narrative analysis

Where Turi/Turi Create remains relevant:
- For organizations that require a straightforward pipeline to build models and export to Core ML for iOS/macOS apps, Turi Create aligns with that use case.
Where modern alternatives have advantages:
- For deep learning research and production ecosystems: PyTorch and TensorFlow have broader tooling and community support.
- For enterprise governance and MLOps: commercial platforms typically provide stronger lifecycle management constructs than a standalone library.
- For AutoML at scale with commercial support: enterprise products such as H2O Driverless AI and similar offerings provide supported packages, albeit with higher cost.

- Where Turi/Turi Create remains relevant: - For organizations that require a straightforward pipeline to build models and export to Core ML for iOS/macOS apps, Turi Create aligns with that use case. - Where modern alternatives have advantages: - For deep learning research and production ecosystems: PyTorch and TensorFlow have broader tooling and community support. - For enterprise governance and MLOps: commercial platforms typically provide stronger lifecycle management constructs than a standalone library. - For AutoML at scale with commercial support: enterprise products such as H2O Driverless AI and similar offerings provide supported packages, albeit with higher cost.

Market share and adoption trends

Reliable, current adoption metrics were not found. The archiving of the official repository suggests declining active development rather than growth.

	Turi / Turi Create	Alteryx	H2O Driverless AI
Starting Price	Free library download; legacy commercial pricing unclear	Per-user, tiered annual billing (starter tiers available)	Sold via enterprise quote; historically associated with significant infrastructure or enterprise pricing
Typical use case	Apple/Core ML export workflows; simple ML tasks; legacy GraphLab maintenance	No/low-code analytics automation for business teams	Enterprises wanting AutoML with feature engineering and tabular performance
Key Strengths	Simplified ML workflows; Core ML export; single-machine scaling capabilities	Enterprise packaging; low-code workflows; broad analytics tooling	High automation; feature engineering; enterprise support model
Key Weaknesses	Project maintenance risk (archived); ecosystem integration gaps; legacy dependency requirements	Can be expensive at scale; may prioritize analytics over ML depth	Cost and enterprise complexity; may not suit all data modalities