Full-Time
Posted on 12/3/2024
AI platform for business process optimization
Senior
Austin, TX, USA
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Writer.com provides a platform that uses artificial intelligence to enhance business processes for various clients, including major corporations. The platform integrates Large Language Models (LLMs), Natural Language Processing (NLP), and Machine Learning (ML) to tailor AI solutions to a client's specific brand and knowledge. LLMs generate human-like text, NLP helps computers understand human language, and ML enables systems to learn from data. Writer's platform is built on secure, enterprise-grade LLMs called Palmyra, which are designed to be transparent and do not use client data for training. This allows businesses to maintain control and visibility over their data. The platform assists companies in speeding up processes and producing customized outputs, such as summaries and analyses, while ensuring compliance with legal and brand standards. Writer.com operates on a subscription-based model, providing clients with ongoing access to its features.
Company Size
1,001-5,000
Company Stage
Series C
Total Funding
$317.1M
Headquarters
San Francisco, California
Founded
2020
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Generous Paid Time Off
Medical Insurance
Dental Insurance
Vision Insurance
Paid Parental Leave
Fertility Treatment Support
Family Planning Benefits
Health Savings Account/Flexible Spending Account
Home Office Stipend
Phone/Internet Stipend
Wellness Program
Company Equity
Stock Options
401(k) Retirement Plan
401(k) Company Match
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More. Writer, the fast-rising enterprise AI startup recently valued at $1.9 billion, has launched Palmyra Creative, a specialized AI model promising to change how businesses tackle creative tasks. Unlike traditional AI models—often criticized for their rigid, predictable outputs—Palmyra Creative introduces a new approach aimed at fostering originality and breaking free from the sameness that has begun to plague AI-generated content.“All the AI models sound remarkably similar,” said Writer’s chief technology officer Waseem AlShikh in an interview with VentureBeat. “What’s surprising is how quickly humans have learned to spot AI-generated text—not just specialists, but everyone can now identify it almost instantly.”By addressing this “sameness problem,” Writer is positioning itself as a key player in the $1 trillion generative AI market, offering enterprises a tool that combines creativity with domain-specific expertise—a balance that few competitors have managed to achieve.Writer’s Palmyra Creative model shown in a product demo, with customization controls for tailoring AI outputs to different business needs. (Credit: Writer)How Palmyra Creative thinks differentlyRather than chasing the industry trend of expanding training data, Writer has developed a fundamentally different approach to AI architecture
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More. There is no doubt AI agents will continue to be a fast-growing rend in enterprise AI.But as more companies look to deploy agents, they’re also looking for a way to help them make sense of the many actions these autonomous or semi-autonomous, AI guided bots will take, and avoid conflicts. To combat the potential sprawl of different AI agents deployed by users, service providers and enterprises alike have been building another type of AI agent: the orchestrator agent.Enter the orchestrator: these type of agents function as managers of other, more specialized agents, understanding each one’s role and activating each based on the next steps needed to finish a task. Most orchestrator agents, sometimes called meta agents, monitor if an agent succeeded or failed and choose the following agent to trigger to get the desired outcome.Good orchestrator agents exhibit certain features that make these work different from other agents, and for enterprises, elements make them work much better. IntegrationAgentic ecosystems would eventually bring workflows together, even if the task involves talking to an agent outside the current platform. Orchestrator agents need to have robust integrations with other systems
Writer, the full-stack generative AI platform for the enterprise, today announced $200M in Series C venture funding at a $1.9 billion valuation. The r
Writer, a generative AI platform for enterprises, secured $200 million in Series C funding at a $1.9 billion valuation. The round was co-led by Premji Invest, Radical Ventures, and ICONIQ Growth, with participation from Salesforce Ventures, Adobe Ventures, and others. The funds will enhance Writer's leadership in enterprise AI and support the development of agentic AI. Sandesh Patnam and Rob Toews will join the board.
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More. Agentic AI continues to grow as enterprises explore its potential. However, there can be pitfalls when building an AI agent workflow. May Habib, co-founder and CEO of full-stack AI platform Writer, said there are four things enterprises should consider when thinking about autonomous AI and the automated workflows that AI agents enable. “If you don’t focus on the capabilities that are right for you to create self-sufficiency, you’ll never get to a generative AI program that is scaling,” Habib said. For Habib, enterprises need to think about these four things when approaching AI workflows that offer value to them:. Understanding your use cases and the mission-critical business logic connected to those use casesKnowing your data and the ability to keep the data associated with business cases freshLearn who the people that can build those use cases in the teamManaging the capacity of your organization to absorb change
Writer announced Tuesday that it has raised $200 million in a Series C funding round co-led by AI-focused venture capital firm Radical Ventures, Iconiq Growth and Premji Invest, a private equity firm owned by billionaire Azim Premji.
Logic co-founders Steve Krenzel (left) and Jeff Garms. (Logic Photo)A pair of veteran Seattle engineers raised $4.3 million for Logic, a new startup that aims to help companies integrate AI into their workflows by leveraging existing internal knowledge and business documents.Steve Krenzel and Jess Garms have more than four decades of combined tech industry experience, leading engineering teams at companies such as Brex, Lyft, Salesforce, Twitter, and Convoy. Earlier this year they founded Logic, which is working with initial customers across various industries such as e-commerce and logistics.“Our goal is to make reliable AI-powered business automations easy for anyone to create,” Krenzel said.The company’s investors include Founders’ Co-op; Ali Partovi’s Neo; current and former Brex execs; Convoy co-founder Dan Lewis; and others.“We all know that LLMs are powerful, but making them useful for more than just information retrieval or content generation in the enterprise has remained a challenge,” said Aviel Ginzburg, general partner at Founders’ Co-op.Companies can upload documents that define business requirements and processes into Logic. For example, a retailer may provide its inventory management protocols, such as how to standardize product descriptions or screen prohibited items. Or an insurance company might have rules around how claims are processed.Logic analyzes those documents and creates APIs powered by large language models. Companies can then use those APIs to automatically implement protocols described in the documents.The idea is to help companies automate internal processes by replacing thousands of lines of code with LLM-powered systems that don’t require vast engineering resources and can be controlled with natural language.“It’s documents to APIs in seconds,” Krenzel said
AI startup Writer is raising $200M in funding at a $1.9 billion valuation, launches new model to compete with OpenAI.
Writer, a San Francisco-based AI startup, on Wednesday debuted a large AI model to compete with enterprise offerings from OpenAI, Anthropic and others.
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More. After making many Gemini AI features standard on Google Workspace, executives said it’s a step towards bringing AI agents to bear at scale across many organizations that use its cloud productivity platform (which includes popular enterprise apps such as Google Drive, Gmail, Google Calendar, Google Meet, Google Sheets, Google Slides, etc). Google Workspace is used by at least 8 million paying customers and commands a staggering 84.95% of the cloud work apps market, according to Thrive, an online marketing agency.Aparna Pappu, vice president and general manager of Google Workspace, said Google has taken a “crawl, walk, run” approach to bringing AI agents to more users. “You can think of bringing agents as a series of building blocks where people are training their assistants to learn how they work,” Pappu said during a QA with reporters and analysts at a Gemini at Work event in New York Thursday. “We’re working toward a set of trained assistants that lead to agents.”Google announced earlier this week that the standalone Gemini chat app — powered by its Gemini AI model — is now integrated into Workspace for Business, Enterprise and Frontline paid accounts. Gemini for Workspace allows people to ask Gemini to summarize emails on Gmail, find information stored on multiple documents on Google Drive or write a natural language prompt on Sheets to generate a custom chart. Unlike other platforms that target specific workflows, such as sales and marketing, which are releasing AI agents, Google Workspace reaches a wide and diverse audience. Pappu noted that Google has been considering agents on Workspace for a while now