The demand for generative AI tools in the enterprise sector is on the rise, as evidenced by Writer’s impressive growth over the past year. The full-stack generative AI platform for enterprises has seen its revenue triple and its customer base expand to 250 companies. This success can be attributed to Writer’s ability to deliver tangible business value through its advanced language models and full-stack approach to deploying AI applications.
According to May Habib, the founder and CEO of Writer, the company stands out in the market because it focuses on selling outcomes rather than just the technology itself. Habib emphasized that Writer has a deep understanding of the vertical it operates in, providing expertise on use cases, data sourcing, workflows, change management, and more. This differentiated approach has resonated with customers, who have seen real returns on their investment in generative AI.
One case study highlighted a mortgage lender that achieved a 7X return on investment by using Writer’s platform. By automating and optimizing various writing tasks, such as marketing copy and legal disclosures, the company experienced significant efficiency gains. Writer’s full-stack approach and focus on user adoption and value realization were instrumental in helping the mortgage lender achieve such impressive results.
To support its continued growth, Writer has brought in seasoned executives from top tech companies to its C-suite. The company’s first Chief Financial Officer, Roger Kopfmann, joins from Coupa; its first Chief Revenue Officer, Andy Shorkey, joins from OneTrust and Mulesoft; and its first Chief Marketing Officer, Diego Lomanto, joins from UIPath and Ada. These strategic hires bring experience in scaling revenue into the billions of dollars, aligning with Writer’s goal of becoming a billion dollar ARR company.
Trust, security, and responsible AI practices are key priorities for Writer as it expands its presence in the enterprise market. The company focuses on five pillars: accuracy, security, transparency, legality, and ethics. Accuracy is particularly crucial, as it builds trust with end users. Writer has developed an AI system that reduces hallucination, exposes the model’s reasoning process, and provides the source data behind outputs to enhance accuracy.
Writer also prioritizes flexible deployment options and granular data residency controls to ensure customer data remains secure. The company advises clients on best practices for transparency, such as disclosing when content has been generated by AI. These efforts have helped Writer establish trust with its customers.
Writer’s proprietary language models, known as Palmyra, consistently rank among the top 3 general-purpose models on industry leaderboards for performance and accuracy. This success can be attributed to Writer’s relentless focus on training models with high-quality data specific to enterprise use cases. However, Habib emphasized that customers are not just signing up for a static product, but rather an innovation agenda. Writer’s commitment to continued innovation and investment in the rapidly evolving generative AI space has impressed customers.
When evaluating potential AI vendors, Habib advises enterprises to seek out partners who offer radical transparency and a deep understanding of their business needs. Generative AI requires a high degree of transparency, trust, and partnership between vendors and customers for success. Writer’s strong growth trajectory, blue-chip customer base, and commitment to responsible AI development position it as a leader in the enterprise generative AI market. As more companies look to operationalize this technology and drive meaningful business value, Writer is well-positioned to meet their needs.
