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22. Writer
22. Writer

CNBC

time10-06-2025

  • Business
  • CNBC

22. Writer

Founders: May Habib (CEO), Waseem AlshikhLaunched: 2020Headquarters: San FranciscoFunding: $326 millionValuation: $1.98 billionKey Technologies: Artificial intelligence, deep neural networks/deep learning, generative AI, machine learningIndustry: Enterprise technologyPrevious appearances on Disruptor 50 list: 0 As businesses race to integrate generative AI, Writer has carved out a niche by claiming to have brand-safe, compliant technology that can be tailored for enterprise use. More than 300 major organizations including Accenture, L'Oréal, Mars, Prudential, Salesforce, Vanguard Group, and Uber have adopted its technology, with what the company says is an average nine times return on investment. Writer offers a generative AI platform that allows companies to build and train AI apps and agents using their own internal data and the startup's large language models (LLMs). They can input documents, style guides, and other organizational knowledge to teach customized AI systems to have "on-brand" outputs within regulatory bounds. Unlike mass market versions of AI tools like OpenAI's public ChatGPT, Writer's systems are designed to integrate with existing workflows via APIs and low-code solutions. "Companies are struggling to adopt generative AI at scale," Writer co-founder and CEO May Habib told CNBC in an interview last October. "What we do we call a full-stack approach to generative AI. It's the large language models plus the critical tools companies need to customize those models for their data for their workflows." Last year, Writer launched an LLM called Palmyra X4 meant to compete with enterprise offerings from fellow Disruptors OpenAI and Anthropic, and other market leaders. The average training cost for its new AI model was $700,000, compared with estimates of $4.6 million for a similarly sized OpenAI model, a cost reduction in attributed to using synthetic data created by AI. Writer's theory is that models that rely on large data sets are hitting their max potential, so synthetic data is necessary to push the AI field forward. The company trained a separate LLM that takes factual data and converts it to data that is structured to train its Palmyra model. "There's some confusion in the industry about the definition of 'synthetic' data," Writer's co-founder and CTO Waseem Alshikh told CNBC at the time it launched its latest enterprise model in October. "To be clear, we don't train our models on fake or hallucination data, and we don't use a model to generate random data. ... We take real, factual data and convert it to synthetic data that is specifically structured in a clearer and cleaner way for model training," Alshikh said. The company also released two Palmyra models meant specifically for healthcare and finance companies last year. It also announced Palmyra Vision, a multi-modal LLM focused on analyzing images, extracting handwritten text and classifying objects. As with all generative AI companies, questions still surround the use cases and return on investment on a widespread scale throughout the economy. While it has been successful in landing big-name clients, it remains to be seen whether those implementations will lead to lasting business growth at a fraction of the cost.

Writer Named a Gartner® Cool Vendor for AI Agent Development
Writer Named a Gartner® Cool Vendor for AI Agent Development

Business Wire

time05-06-2025

  • Business
  • Business Wire

Writer Named a Gartner® Cool Vendor for AI Agent Development

SAN FRANCISCO--(BUSINESS WIRE)-- Writer, the leader in enterprise generative AI, today announced that it has been named a Cool Vendor in the inaugural 2025 Gartner® Cool Vendors™report for AI Agent Development. Over the last 5 years, Writer has pioneered the enterprise AI category with the world's only enterprise-focused AI research lab and now leads the industry with an end-to-end approach to agentic AI. Today, Writer's platform enables IT and business teams from hundreds of leading enterprises to collaboratively build and scale AI agents that streamline workflows across departments. According to Gartner, 'by 2029, over 60% of enterprises will adopt AI agent development platforms to automate complex workflows previously requiring human coordination.' The report states, 'Demand for AI agent development is increasing as organizations seek hyperefficiency. Software engineering leaders will find the vendors in this report valuable for addressing the growing demand from business and technology stakeholders to develop agents that will help them deliver business value faster.' Based on Writer's understanding, Cool Vendors were selected for their ability to provide both the foundational tools to harness the potential of AI agents, as well as innovative value-add functionality. Writer's primary takeaway from the report is that enterprises must invest in vendors that can offer scalability, interoperability, and stability, in addition to performance and security, to maximize long term value. 'Being named a Gartner Cool Vendor in AI Agent Development is an important recognition of Writer's platform,' said May Habib, CEO and Co-Founder of Writer. 'In a noisy market full of overpromises, Writer delivers what enterprises actually need: agentic systems that are accurate, governed, and built to scale. Our platform gives IT and business teams one place to build, activate, and supervise AI agents — grounded in business context, powered by our enterprise-grade LLMs, and built for real ROI.' Writer has recently released new product and tech innovations, including: Palmyra X5: Writer's latest foundation model, topping benchmarks for speed, cost efficiency, and large context performance. AI HQ: Writer's centralized hub to build, activate, and supervise AI agents across the enterprise. Includes a library of 100+ ready-to-use AI agents across industries including finance, healthcare, retail, and technology. Together, Palmyra X5 and AI HQ give enterprises unmatched power to deploy real-world AI agents that support use cases like market intelligence, financial reporting, legal analysis, medical record synthesis, and customer experience optimization. Hundreds of leading enterprises – including Intuit, Kenvue, Marriott, Qualcomm, Uber, Vanguard, and more – use Writer to reinvent business processes with AI at the center. Readers can access a complimentary copy of the report here. Disclaimer Gartner, Cool Vendors for AI Agent Development, Adrian Leow, Jim Scheibmeir, Nitish Tyagi, Manjunath Bhat, 27 May 2025 GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved. Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose. About Writer Writer is where the world's leading enterprises orchestrate AI-powered work. With Writer's end-to-end platform, teams can build, activate, and supervise AI agents that are grounded in their company's data and fueled by Writer's enterprise-grade LLMs. From faster product launches to deeper financial research to better clinical trials, companies are quickly transforming their most important business processes for the AI era in partnership with Writer. Founded in 2020, Writer delivers unmatched ROI for hundreds of customers like Accenture, Intuit, Marriott, Uber, and Vanguard and is backed by investors including Premji Invest, Radical Ventures, ICONIQ Growth, Insight Partners, Balderton, B Capital, Salesforce Ventures, Adobe Ventures, Citi Ventures, IBM Ventures, and others. Learn more at

AI+ Summit: Tipping points galore
AI+ Summit: Tipping points galore

Axios

time05-06-2025

  • Business
  • Axios

AI+ Summit: Tipping points galore

AI is hitting multiple tipping points in its impact on the tech industry, communication, government and human culture — and speakers at Axios' AI+ Summit in New York Wednesday mapped the transformative moment. 1. The software business is the first to feel AI's full force, and we're just beginning to see what happens when companies start using AI tools to accelerate advances in AI itself. "We're using agents to build agents," May Habib, CEO of Writer, told Axios' Ina Fried. "We've been saying for a long time that software is eating the world — now AI is eating the software," said Danny Allan, CTO of AI-security firm Snyk. 2. Chatbots are changing how people interact with one another. Boston Consulting Group managing director Vladimir Lukic said he's now using AI to game out conversations with CEOs in advance of meetings. When he tells them that he's asked a chatbot what questions the CEO is likely to ask him, the CEO will invariably want to know the prediction — and that ends up being what they talk about. 3. Government isn't likely to moderate AI's risks. With the Trump administration and GOP-controlled Congress largely pulling back from AI regulation, New York Gov. Kathy Hochul sounded an alarm over a provision in the House-approved Trump spending bill that would bar states from passing new AI rules for a decade. "We have to stop this," she said, "but I'm right now not holding my breath" that Washington will reverse course. 4. Culture makers fear AI will undermine the urge to create. AI builders used mountains of "publicly available" data assembled from the collected creative works of humankind in order to train their models.

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