Source: enterprise AI company DataRobot has raised ~$250M in new funding led by Altimeter Capital Management and Tiger Global at a ~$6B pre-money valuation
Context & Ripple Effects
DataRobot has been on a steep funding escalator: a $100M Series D in 2018, a ~$200M Series E at a $1B-plus valuation in 2019, then a $270M round led by Altimeter Capital at $2.7B just seven months ago. This new ~$250M raise — again led by Altimeter, now joined by Tiger Global — roughly doubles the pre-money price to ~$6B, and a confirmed $300M Series G at $6.3B post-money followed within weeks.
That velocity matters because it coincided with insider liquidity: senior executives sold about $32 million of stock at the reported $6.3 billion valuation, a quiet secondary that later triggered employee uproar and the resignation of CEO Dan Wright and several other executives including the CFO.
First-order effects
- Altimeter doubles down as lead investor within months of its $270M round, while Tiger Global enters as new late-stage money at a ~$6B pre-money price — capital arriving faster than DataRobot's prior cadence of roughly one large round per year.
Second-order effects
- Rapid markups plus executive secondaries reset internal expectations: the quiet sale of ~$32M in stock by senior executives at the top-of-round valuation became the flashpoint for the employee uproar that ended with Dan Wright's resignation as CEO after under 18 months.
Third-order effects
- If the pattern holds, late-stage enterprise AI rounds function partly as liquidity events for insiders, meaning governance risk scales with valuation speed — the people cashing out and the workforce holding paper diverge long before any exit tests the price.
The trend: Enterprise machine-learning platforms are compressing their funding cycles into back-to-back mega-rounds with repeat leads, where each markup carries an increasingly heavy insider-liquidity and governance tail.