Introduction
Writer offers a full-stack generative AI platform built specifically for enterprise use, combining its own family of large language models with governance and compliance tooling. Founded in San Francisco in 2020 by May Habib and Waseem AlShikh, the company built on a decade of prior collaboration between its two founders in machine translation before pivoting fully into generative AI.
What the company does
Writer’s platform lets enterprises deploy generative AI applications and agents for tasks such as marketing content, customer support, and internal operations, while keeping outputs aligned with a company’s brand voice, style, and compliance requirements. Rather than relying solely on third-party foundation models, Writer trains and offers its own Palmyra family of language models, which the company positions as more efficient and more controllable for enterprise-specific use cases than general-purpose consumer chat models. Employees typically access Writer through browser extensions and integrations with everyday tools such as Google Docs, Microsoft Word, and Slack, so the AI assistance appears inside the applications people already use rather than requiring a separate destination.
Who it serves
Writer’s customers are enterprise marketing, support, and operations teams at large organizations, including companies such as Accenture, Intuit, L’Oréal, Salesforce, Spotify, Uber, and Vanguard, according to the company’s own materials. Its target buyer typically needs governed generative AI that can be customized to specific industries, including regulated sectors such as finance and healthcare, and that can demonstrate consistent, on-brand output across hundreds or thousands of employees.
Company background
May Habib and Waseem AlShikh first worked together starting around 2013, when Habib reached out to AlShikh about his work on statistical machine translation, leading the pair to found Qordoba, a machine translation startup, in 2015 to help companies localize digital content. As transformer-based language models advanced, the two decided to pivot away from translation and launched Writer in March 2020. Habib, a Lebanese entrepreneur, serves as CEO, and AlShikh, a Syrian entrepreneur who taught himself English and computer science, serves as CTO and leads development of the Palmyra model family. The company has raised roughly $326 million in total funding, reaching a $1.9 billion valuation after a $200 million Series C round in November 2024, co-led by Premji Invest, Radical Ventures, and ICONIQ Growth, with participation from strategic investors including Salesforce Ventures, Adobe Ventures, Citi Ventures, and IBM Ventures. Writer is headquartered in San Francisco, with additional offices in New York City and London.
Product and AI capabilities
Writer’s platform is built around its proprietary Palmyra large language models, ranging from smaller models suited to specific tasks up to larger general-purpose models, alongside graph-based retrieval-augmented generation and configurable AI guardrails meant to enforce brand and compliance rules. The company has released domain-specific models, including Palmyra-Fin and Palmyra-Med, aimed at financial and medical use cases, and has continued to expand its agent-building tools so enterprises can deploy AI applications without depending entirely on general-purpose models from outside vendors. Writer has also said it trains some of its models using synthetic data generated by other AI models, a strategy it has described as a way to reduce training costs relative to labs that rely more heavily on human-labeled data.
Key developments
Writer raised a $200 million Series C round in November 2024 at a $1.9 billion valuation, co-led by Premji Invest, Radical Ventures, and ICONIQ Growth. The company has released domain-specific Palmyra-Fin and Palmyra-Med models for financial services and healthcare use cases, and has continued to receive investment from strategic backers including Salesforce Ventures, Citi Ventures, and IBM Ventures, reflecting enterprise interest in owned language-model stacks.
Why it matters
Writer represents a distinct strategy within enterprise generative AI: building and owning its own language models rather than reselling access to models from other AI labs. That approach gives Writer more control over cost, customization, and compliance, which matters for enterprises in regulated industries that need predictable, auditable AI behavior rather than black-box outputs from a shared, general-purpose model.
Sector context
Within enterprise software, Writer’s brand- and compliance-focused approach to generative AI complements enterprise search tools such as Glean, which focuses on retrieving existing company knowledge rather than generating new branded content, and contrasts with generative media companies like Synthesia, which apply a similar governed-AI philosophy to video rather than text. Together, these companies illustrate how enterprise generative AI has fragmented by content type and workflow rather than consolidating around a single vendor.
Sources and references
This profile draws on Writer’s official company page and its press release announcing the November 2024 Series C round, supplemented by independent reporting from Forbes on funding history and product development.