Scribe Raises $75M to Advance AI Workflow Solutions

Workflow software startup Scribe has secured $75 million in new funding, elevating its valuation to $1.3 billion. The Series C round was led by StepStone and included participation from existing investors. The company plans to use the capital to accelerate the rollout of its AI-focused product, Scribe Optimize, and build new solutions.

Co-founded by CEO Jennifer Smith and CTO Aaron Podolny, Scribe aims to solve the challenges businesses face when adopting AI. By documenting internal processes and analyzing workflows, the startup provides the context and data necessary for effective automation. With a customer base exceeding 75,000 and a significant footprint in the Fortune 500, Scribe is positioning itself as a critical tool for enterprise AI implementation.

Scribe announced a $75 million Series C funding round, pushing its valuation into unicorn territory at $1.3 billion. The round was led by StepStone, signaling strong investor confidence in the company's approach to workflow management and AI integration.

The investment attracted support from a consortium of existing backers, highlighting the continuity of financial support for the startup. Participants in this round included:

• Amplify Partners
• Redpoint Ventures
• Tiger Global
• Morado Ventures
• New York Life Ventures

According to CEO Jennifer Smith, the team chose to raise capital this year to specifically accelerate the deployment of their newest product and to fund the development of future offerings. Notably, the company has maintained a high level of capital efficiency, having not spent any of the funds raised during its previous $25 million round in 2024.

Scribe was co-founded by Jennifer Smith, a former consultant at Greylock and McKinsey, and Aaron Podolny. The company currently offers two primary products designed to help businesses standardize operations and adopt AI.

The first product, Scribe Capture, utilizes a browser extension or desktop app to record how expert employees perform specific workflows. It automatically generates shareable documentation, complete with screenshots and written instructions. This process helps standardize 'institutional know-how' for critical functions such as onboarding, customer support, and training.

The second product, Scribe Optimize, represents the company's push into AI analysis. It examines workflows within an organization to show leaders areas where improvements can be made and where AI can be effectively adopted. The tool leverages a massive database of 10 million workflows across 40,000 different software applications to suggest specific areas for automation.

CEO Jennifer Smith emphasized that context is the key to successful AI implementation, stating, "AI can't improve what it can't see." She further explained the limitations of simply adding AI to existing systems, noting, "You can't just sprinkle AI into your business and expect that it's going to magically make everything better. The missing ingredient is context and data."

Despite being a relatively young company, Scribe has achieved substantial scale. The startup currently employs 120 people and services a vast customer base of over 75,000 clients.

The company's footprint in the corporate world is significant, with high-profile clients including New York Life, T-Mobile, and LinkedIn. Perhaps most impressively, the company reports that 44% of the Fortune 500 pay for Scribe's services, indicating a strong adoption rate among large enterprises.

This widespread adoption underscores the demand for tools that can bridge the gap between complex software environments and the need for streamlined, automated workflows. As businesses continue to grapple with integrating AI, Scribe's data-driven approach to documenting and analyzing processes provides a clear path forward for standardization and efficiency.

Scribe's recent $75 million funding round marks a pivotal moment for the company as it transitions into a $1.3 billion valuation unicorn. By focusing on the fundamental requirement of data context, Scribe addresses a critical bottleneck in enterprise AI adoption. The company's strategy of documenting workflows through Scribe Capture and analyzing them for automation via Scribe Optimize provides a comprehensive solution for modern businesses.

With strong financial backing from StepStone and existing investors, and a proven track record of capital efficiency, Scribe is well-positioned to expand its market dominance. As the demand for AI integration grows, Scribe's ability to provide the necessary visibility and data infrastructure will likely remain a key driver of its continued success.