Investment Thesis
Tiger Global’s AI strategy reflects their broader approach: identify fast-growing technology platforms and deploy large amounts of capital at growth stage to own significant stakes. They analyze revenue trajectories, usage metrics, and retention data to make data-driven investment decisions at scale.
Notable AI Deals
Tiger led Databricks’ $1.6B Series H, betting the data lakehouse company would become essential AI infrastructure. They anchored Inflection AI’s massive round (though that investment was complicated by Microsoft’s acqui-hire). Scale AI was another major position in the AI data labeling layer.
Portfolio Strategy
Tiger takes a portfolio approach at growth stage, writing checks ranging from $100M to $1B+. Their AI thesis focuses on companies with demonstrated revenue traction and clear paths to $1B+ ARR. They invest with less emphasis on board seats and more on data-driven selection.
Track Record
Tiger’s AI results have been mixed. Databricks (valued at $43B) and Scale AI ($14B) are clear winners. However, the Inflection AI investment suffered from the Microsoft acqui-hire. The firm’s aggressive pace during 2021-2022 led to markdowns, but their AI infrastructure bets have largely held value.
| Company | Amount | Date | Stage |
|---|---|---|---|
| Databricks | $1.6B | 2021-08 | Series H |
| Inflection AI | $1.3B | 2023-06 | Series B |
| Scale AI | $325M | 2021-04 | Series E |