AI may be everywhere, but inside companies, it’s often flying blind—and Scribe thinks that’s the real problem worth solving.
The workflow software startup has raised $75 million in a Series C round at a $1.3 billion valuation, vaulting it into unicorn territory. The round was led by StepStone, with existing investors Amplify Partners, Redpoint Ventures, Tiger Global, Morado Ventures, and New York Life Ventures also participating.
Scribe’s pitch is refreshingly unflashy for an AI-era startup. Instead of promising autonomous agents or magic productivity gains, the company focuses on something far more basic: documenting how work actually gets done. Its core product, Scribe Capture, records workflows as employees perform them—turning clicks and actions into step-by-step guides complete with screenshots. The goal is to preserve institutional knowledge before it disappears into Slack threads or employee turnover.
That foundation feeds into Scribe’s newer product, Optimize, which analyzes workflows to surface inefficiencies and highlight where AI or automation could realistically help. The system leans on a massive internal dataset—more than 10 million workflows across 40,000 software tools, according to the company—to benchmark how work could be done better.
CEO Jennifer Smith, a former Greylock partner and McKinsey consultant, argues that most companies are approaching AI backwards. “You can’t just sprinkle AI into your business and expect it to work,” she says. Without clear processes and context, even the best models struggle to deliver value.
The message appears to be resonating. Scribe says it now serves over 75,000 customers, including New York Life, T-Mobile, and LinkedIn, and counts 44% of the Fortune 500 among its paying users. It employs around 120 people and claims to be unusually capital efficient—having not touched the $25 million it raised in 2024.
The new funding will be used to accelerate the rollout of Optimize and develop additional products focused on AI adoption. At a time when enterprises are rethinking their AI spend, Scribe is betting that the next wave of winners won’t be the loudest or flashiest—but the ones fixing the operational plumbing first.
Conclusion
Scribe’s unicorn leap signals a shift in enterprise AI thinking: before companies automate everything, they may need to understand themselves first.