Writer triples revenue and expands to 250 clients as demand for enterprise AI soars

writer, an integrated generative AI platform for enterprises, tripled its revenue over the past year and expanded its customer base to 250 companies, underscoring the growing demand for enterprise generative AI tools. Rapid growth has been fueled by Writer’s ability to deliver tangible business value through advanced language models and a complete approach to deploying AI applications.

“Clients meet with us, and from the first conversation, they realize we have experience in accessing value in the sector we focus on,” said Mai Habib, founder and CEO of Writer, in an interview with VentureBeat. “There’s a real depth of expertise and experience in terms of use cases, data sources, who should be accountable, what the workflow is, what change management looks like. Everyone is selling picks and shovels, we’re selling results – it’s a really different thing in the market.”

Achieving tangible returns for organizations that adopt generative artificial intelligence

The writer’s momentum comes as some industry observers have question Whether generative artificial intelligence is Produce real returns For companies. Habib denied these doubts, stressing that decision-makers in the institution simply need to talk to them Writer clients To see the effect directly.

In one case study, a mortgage lender using the Writer platform achieved a 7x ROI. The company has been able to automate and optimize a range of writing tasks, from marketing copy to legal disclosures, resulting in significant efficiency gains. “We are taking a unique integrated approach,” Habib explained. “This is what helps everyone climb the first mountain of accuracy and quality. We then pair that with a continued focus on user adoption and value creation.

To support its next phase of growth, Writer has brought on seasoned executives from top technology companies to its executive team. Roger Kopfman joins as the writer’s first CFO from Cuba; Andy Shorkey joins as the company’s first Chief Revenue Officer from OneTrust and Mulesoft; Diego Lomanto joins as the writer’s first CMO from UIPath and Ada.

Strategic employees bring experience in growing revenues to billions of dollars. “We wanted an executive group that would help us grow a billion-dollar ARR company,” Habib said. “So we needed people who started at our stage and got there simultaneously.”

Prioritize trust, security, and responsible AI practices

Building trust with customers around data privacy and responsible AI practices has been central to Writer’s approach as he expands his presence in the enterprise. The company focuses on five core pillars: accuracy, security, transparency, legality and ethics.

“Accuracy is really the cornerstone,” Habib told VentureBeat. “If you don’t have the right outputs, end users won’t trust the AI.” To enhance accuracy, Writer has built an AI system around its language models that reduces hallucinations, reveals to users the model’s reasoning process, and provides the source data behind the output.

Flexible deployment options and granular data location controls aim to give enterprise customers confidence that their information remains secure. Writer advises clients on transparency best practices, such as disclosing to end users when content is generated by AI.

Language-specific models consistently rank among the best performing models

Writer-specific language models, known as Destroy, consistently ranked among the top 3 general-purpose models on industry leaderboards that measure performance and accuracy. Habib attributes this to a continued focus on the data used to train models for specific enterprise use cases.

But she emphasized that customers were buying into an innovation agenda, not just a fixed product, given the rapid pace of disruption in generative AI. “It’s the ability to continue to innovate, to continue to invest, that I think really impresses people,” she said.

As companies evaluate potential AI vendors, Habib advises them to look for partners who offer radical transparency and a deep understanding of their business needs. “Generative AI, more than any other platform transformation, requires a degree of transparency, trust and partnership between vendor and customer,” she said. “It will be very difficult to succeed if you don’t have sellers who are deeply invested in you.”

With its strong growth trajectory, excellent customer base, and commitment to developing responsible AI, Writer is well-positioned to lead the enterprise generative AI market as more companies look to operationalize the technology and drive meaningful business value.