Scribe is on a mission to “uplevel how people do work.” Their Workflow AI platform was created to solve the problem of sharing know-how that’s trapped in people’s heads with other team members. Documentation is usually so painful to create that most teams simply don’t do it. Without it, however, colleagues are blocked, Scribe helps organizations document and scale how work gets done, turning processes into playbooks to train colleagues, assist customers, and drive software adoption.

“We make it effortless for people to capture their work while they’re doing their work and automatically turn any workflow into a beautiful, self-updating step-by-step guide,” said Mouad Hadji, Head of AI at Scribe. Today, the company serves 4 million users across 600,000 businesses, including 94% of Fortune 500 companies.

As Scribe’s AI team matured, so did their infrastructure needs—particularly around performance, compliance, and cost. “We were looking to strengthen our security and compliance requirements while maintaining access to the best hardware,” explained Mouad. “Flexibility was also critical, because we’re growing fast and we need to move quickly.”

Finding the right cloud provider

After evaluating multiple cloud providers, Scribe selected DigitalOcean for its unique ability to deliver enterprise-grade GPU infrastructure at a competitive price — without compromising on flexibility or support.

“We evaluated others,” Mouad said, “but the lack of flexibility in their offerings and the price points were very dissuasive. For fast-moving ML teams, paying a higher price means less experimentation, less performance.”

Scribe’s AI workloads are powered primarily by two DigitalOcean offerings:

• H100 GPUs: Used for everything from small single-GPU experiments to large multi-node, multi-week model trainings.

• Encrypted Volume Storage: Ensures that all data remains secure and compliant with enterprise standards.

“We go from using a single H100 for a small experiment to a node of 8 H100s for multi-day experiments, to multi-node training for multi-week workloads,” Mouad shared. “So we go from small to large.” This flexibility was key in enabling the team to scale experimentation and accelerate innovation.

A partnership that supports speed and scale

Beyond the infrastructure, Scribe highlighted the quality of support as a differentiator. “We have a direct Slack channel with the technical team,” Mouad noted. “Every time we have a question, we get a responsive team behind the scenes. That kind of partner closeness gives us confidence things will run smoothly.”

Mouad also emphasized the advantage of DigitalOcean’s tailored customer experience: “It feels like DigitalOcean is the right-sized partner for a fast-growing company like us,” he said. “The team is committed to being close to their customers and offering the right-sized solutions.”

Working with DigitalOcean has enabled Scribe to:

• Reduce infrastructure costs with competitive GPU pricing.

• Expand R&D capacity by freeing up budget for more experimentation.

• Accelerate hiring by scaling infrastructure alongside a fast-growing engineering team.

• Maintain enterprise-grade security and compliance.

What’s Next for Scribe

As Scribe continues its mission to uplevel how work gets done, AI remains core to its future. “We’re transforming raw expertise into easy-to-follow, interactive step-by-step guides,” said Mouad. “AI plays a foundational role in this mission. As we build a generational company, we know we’ll need partners like DigitalOcean to help us offer unique capabilities that continue to accelerate the pace at which we deliver value to customers.”

Interested in learning more about DigitalOcean’s GPUs? Right this way.