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Writer, a full-stack generative AI platform for enterprises, has tripled its revenue over the past year and expanded its customer base to 250 companies, highlighting the growing demand for generative AI tools in the enterprise. has been done Rapid growth has been driven by Writer's ability to deliver solid business value through its advanced language models and full-stack approach to deploying AI applications.
“Customers meet us, and from the very first interaction, they understand that we have the experience to deliver value in the verticals we focus on,” Reuters founder and CEO May Habib told VentureBeat. said in the interview. “There's a real depth of experience and expertise on use cases, data sourcing, who should be responsible, what the workflows are, what change management looks like. Everyone else is selling picks and shovels, and we're selling results. are — it's really different in the market.”
Delivering Tangible Profits for Enterprises Adopting Generative AI
The author's move comes as some industry observers question whether generative AI is generating real profits for companies. Habib dismissed the skepticism, saying that enterprise decision makers need only talk to Reuters users to see the impact for themselves.
In one case study, a mortgage lender using Reuter's platform achieved a 7X return on investment. The company was able to automate and optimize a range of written tasks, from marketing copy to legal disclosures, achieving major efficiency gains. Habib explained. “That's what helps everyone climb the first mountain of accuracy and quality. We then combine that with a continued focus on customer adoption and value realization.
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To support its next phase of growth, Reuters has brought experienced executives from top tech companies into its C-suite. Roger Coffman joins from Copa as Reuters' first Chief Financial Officer. Andy Shurkey joins from OneTrust and Mulesoft as the company's first Chief Revenue Officer. And Diego Lomanto joins from UIPath and Ada as Writer's first Chief Marketing Officer.
Strategic hiring experience has increased revenue to billions of dollars. “We wanted a C-suite that would help us grow a billion dollar ARR company,” said Habib. “And so we needed people who started on our stage and got there at the same time.”
Prioritizing trust, security and responsible AI practices
Building trust with consumers around data privacy and responsible AI practices has been central to Reuters' approach as it expands its footprint in the enterprise. The company focuses on five key pillars: accuracy, security, transparency, legality and ethics.
“Accuracy is really the cornerstone,” Habib told VentureBeat. “If you don't have the right output, your end users won't trust the AI.” built an AI system around that reduces the illusion, exposes the reasoning process of the model to the user, and provides the source data behind the output.
Flexible deployment options and granular data residency controls aim to give enterprise users confidence that their information remains secure. The author advises clients on best practices for transparency, such as disclosing to end users when content is generated by AI.
Proprietary language models consistently rank among the top performers.
The author's proprietary language models, known as Palmyra, are consistently ranked in the top 3 general-purpose models on industry leaderboards measuring performance and accuracy. Habib credits this to a relentless focus on data used to train models for specific enterprise use cases.
But he emphasized that customers are signing up for an innovation agenda, not just a static product, given the breakneck pace of disruption in the creative AI space. “It's that ability to continue to innovate, to continue to invest that I think really inspires people,” he said.
As enterprises evaluate potential AI vendors, Habib advises them to look for partners that offer fundamental transparency and a deep understanding of their business needs. “Generative AI, more than any other platform transformation, requires transparency, trust and partnership between vendor and customer,” he said. “If you don't have vendors who are deeply invested in you, it's going to be really hard to succeed.”
With its strong growth momentum, blue-chip customer base, and commitment to responsible AI development, Ritter is well-positioned to lead the enterprise generative AI market as more companies deploy the technology and drive meaningful business value. are trying