Summary: Scribe, a startup that helps businesses document and understand their workflows, has raised $75 million in a Series C round, reaching a $1.3 billion valuation. With its new platform, Scribe Optimize, the company aims to show enterprises exactly where AI and automation will deliver real returns, moving beyond guesswork and manual processes. Founded in 2019, Scribe’s flagship product, Scribe Capture, automatically creates step-by-step guides of workflows, saving users significant time and accelerating onboarding. Trusted by teams in 94% of Fortune 500 companies, Scribe plans to expand its offerings and double its workforce in the coming year.

Scribe’s New $75M Funding and $1.3B Valuation

Scribe recently closed a $75 million all-equity Series C funding round led by StepStone, with participation from existing investors including Amplify Partners, Redpoint Ventures, Tiger Global, Morado Ventures, and New York Life Ventures. This latest investment values the company at $1.3 billion post-money. The funding will accelerate the rollout of Scribe Optimize and related products, helping enterprises better understand where AI and automation can truly make a difference.

Introducing Scribe Optimize: Mapping Workflows for Real Impact

Many companies are eager to adopt AI but struggle to pinpoint where automation will have the greatest impact. According to Scribe’s co-founder and CEO Jennifer Smith, traditional methods like interviews and workshops are time-consuming and often miss the nuances of daily work. Scribe Optimize addresses this by mining actual workflows across an organization, presenting a clear, consolidated view of how work is done, how often, and how long tasks take. This insight helps businesses identify the most valuable areas for automation and AI deployment.

How Scribe Helps Enterprises Identify What to Automate First

Smith explains, “Without really knowing how work is done, it’s hard to know where to improve or automate.” Scribe Optimize provides a single pane of glass showing real workflows, enabling companies to make informed decisions about automation priorities. This approach contrasts with the manual, often outdated methods many still use, such as timing processes with stopwatches or relying on consultants.

The Origins and Success of Scribe Capture

Founded in 2019 by Jennifer Smith and CTO Aaron Podolny, Scribe began before the surge of generative AI. Its flagship product, Scribe Capture, automatically documents workflows by generating step-by-step guides with text and screenshots via a browser extension and desktop app. These guides help reduce repetitive questions, minimize errors, and speed up onboarding. Customers report saving 35 to 42 hours per person per month and accelerating new hire ramp-up by 40%.

Scribe’s Market Position and Customer Base

The process documentation space includes competitors like Tango, Iorad, UserGuiding, and Spekit. However, Smith emphasizes that Scribe primarily competes with the status quo of manual workflow recording. To date, Scribe has documented over 10 million workflows across 40,000 software applications, with more than 5 million users. It is used by teams in 94% of Fortune 500 companies and has 78,000 paying organizations, including New York Life, T-Mobile, LinkedIn, HubSpot, and Northern Trust.

Smith notes, “Users come to Scribe not because their boss tells them to, but because they want to.” Adoption often starts with end users and spreads upward to team leads and central functions focused on scaling knowledge and improving processes.

Looking Ahead: Growth Plans and Global Reach

Based in San Francisco, Scribe sees strong markets in the U.K., Canada, Australia, and Europe alongside the U.S. The company has more than doubled its revenue over the past year, though specific figures remain undisclosed. With a current headcount of 120 employees, Scribe plans to double its team within the next 12 months to support its growth and product expansion.

By Manish Singh Manithia

Manish Singh is a Data Scientist and technology analyst with hands-on experience in AI and emerging technologies. He is trusted for making complex tech topics simple, reliable, and useful for readers. His work focuses on AI, digital policy, and the innovations shaping our future.

Leave a Reply

Your email address will not be published. Required fields are marked *