DataRobot, which helps companies train and deploy ML models, raises $270M led by Altimeter Capital at a $2.7B valuation, following $206M Series E in Sept. 2019
Sophia Kunthara / Crunchbase News : Tweets: @davidcohen Tweets: David Cohen / @davidcohen : 🦄 Congrats to DataRobot (@Techstars 2013) on their amazing progress. https://news.crunchbase.com/ ...
Context & Ripple Effects
DataRobot has been on a steady capital escalator: a $100M Series D in 2018, then a ~$200M Series E at a $1B+ valuation in mid-2019. Bloomberg reported just yesterday that it was in talks to raise ~$300M at $2.5B+, and today's close lands slightly under that size at $270M and a $2.7B mark — meaning the valuation has roughly doubled-to-tripled in about 14 months.
The notable detail is who is leading: Altimeter Capital, a crossover fund, taking the lead position rather than a traditional venture firm. That matters because Altimeter came back within eight months to co-lead another ~$250M at a ~$6B pre-money, which became the $300M Series G at $6.3B — this round was the entry point for that repricing.
First-order effects
- DataRobot's total raised crosses the $700M threshold Bloomberg cited during the talks, giving the Boston-based AutoML vendor a war chest sized against far larger enterprise-software peers while still private.
- Altimeter converts from observer to lead investor, positioning itself as DataRobot's anchor backer into the next round it ultimately co-led with Tiger Global.
Second-order effects
- Rival enterprise ML platform vendors face a raised bar: with DataRobot marked at $2.7B on an annual raise cadence, competitors pitching corporate buyers must match both product breadth and funded scale.
- Altimeter's double-down validates the crossover playbook in applied-AI tooling — the same fund later led dbt Labs' $222M Series D at $4.2B, extending the pattern from model-building tools to the data stack beneath them.
Third-order effects
- If successive mega-rounds keep compressing the time between valuation doublings, late-stage AI companies face mounting pressure toward IPO windows — and insider liquidity practices become a flashpoint, as they did when CEO Dan Wright resigned in 2022 amid an uproar over executives' quiet stock sales.
- Capital concentration in a handful of crossover funds becomes a structural feature of enterprise AI: whoever leads one round increasingly sets the price of the next, narrowing the set of companies that can afford to compete for the same enterprise buyers.
The trend: Enterprise machine-learning platforms are compounding valuations through successive mega-rounds on near-annual cadences, with crossover funds like Altimeter Capital replacing traditional VCs as the pace-setters.