While the allure of AI-generated content is undeniable, the true goldmine lies in extraction—unearthing the dormant insights buried in our data, turning information into action, and revolutionizing how enterprises make decisions. See this long-form post from our cofounders Keith Peiris and Henri Liriani on why we're applying AI to sales teams, and how it'll deliver clear business value. https://lnkd.in/g65JUFYr
Tome
软件开发
San Francisco,CA 24,220 位关注者
The AI assistant for enterprise sellers, starting with automated account research.
关于我们
Tome is an AI assistant for enterprise sellers, built to automate manual work and enable more effective conversations throughout the entire sales cycle. The Tome platform trains custom language models on your company’s sales methodology, value framework, and GTM tech stack, allowing AEs to: 1. Book more qualified pipeline with automated account and persona research, suggested value hypotheses, and personalized outreach messages for the highest priority accounts. 2. Accelerate existing pipeline with detailed meeting prep, generated collateral, AI note taking synced to your CRM, and automated follow-ups. 3. Optimize their sales playbook with insights on which messages, features, and collateral lead to bigger, faster deals. In this new world, AEs can focus less on work that weighs them down and more on spending time with customers. Sales leaders can ensure quality pipeline creation is maximized, more deals are won, and reps ramp faster. And RevOps leaders are at peace-of-mind knowing their systems and processes are being used to their full potential.
- 网站
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https://tome.app/
Tome的外部链接
- 所属行业
- 软件开发
- 规模
- 11-50 人
- 总部
- San Francisco,CA
- 类型
- 私人持股
- 创立
- 2020
地点
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主要
US,CA,San Francisco
Tome员工
动态
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Are you a seller trying to find the best path into ServiceNow? We're open-sourcing their strategic initiatives for you ??, synthesized from earnings calls, their website, critical news articles (CIO Online), and more. ????-???????????? ???????????????????? ?????? ?????????????????? 1?? NowAssist AI Deployment: Rapidly expanding NowAssist AI across the platform, becoming the fastest-growing new product in company history 2?? Domain-Specific AI Models: Developing AI models tailored for specific industries and use cases 3?? AI Integration Across Now Platform: Incorporating AI capabilities into existing ServiceNow products and services ???????????????? ?????????????????????? & ???????????????? ?????????????????? 1?? Industry-Specific Solutions: Developing tailored solutions for sectors like telecommunications, healthcare, and financial services 2?? Now Platform Capabilities Expansion: Continuously adding new features and functionalities to the core platform 3?? Rapid Time-to-Value Focus: Emphasizing quick implementation and value realization for customers ?????????????????? ???????????????????????? & ?????????????????? ???????????? 1?? Tech Leader Collaborations: Partnering with companies like Microsoft, IBM, and NVIDIA for AI development and integration 2?? System Integrator Partnerships: Expanding relationships with global system integrators and consultancies 3?? Developer Ecosystem Expansion: Growing the community of developers building on the Now Platform ???????????? ???????????? ?????????????????? 1?? Key Geographic Markets Targeting: Focusing on high-growth regions and industries for expansion 2?? Regional Cloud Infrastructure Investments: Investing in local data centers and cloud capabilities, e.g., $500 million investment in Saudi Arabia ?????????????????? ?????????????????????? & ?????????????????????? 1?? Revenue Growth Targets: Aiming for $10.56-$10.58 billion in subscription revenues for 2024, representing 21.5-22% y/y growth 2?? Profitability Maintenance: Targeting a 29.5% operating margin for 2024 3?? Efficient Scaling of Operations: Optimizing processes and leveraging AI to support growth without proportional cost increases ???????????????? ?????????????? & ?????????? ?????????????????????? 1?? Rapid Implementation Focus: Streamlining deployment processes to accelerate time-to-value for customers 2?? AI-Driven Customer Service Improvements: Leveraging AI to enhance support and service delivery 3?? Now on Now Program Expansion: Showcasing ServiceNow's own digital transformation as a model for customers
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Tome转发了
I'm constantly testing new sales tech. Since we work with 10+ clients across several industries, I need to stay up to date on which tools are best for each industry. And after testing Tome, I can confidently say it's one of the best (if not THE best) solutions for researching Enterprise Accounts. With one click, it will give you an in-depth, yet easily skimmable, summary of the companies you want to prospect. It uses AI to scrape literally every piece of info about that company across the web and your internal sales data, then condenses that info into what's most relevant for you and your company. Think of it like having a second brain engineered for sales, and designed to help you find the best path into your target accounts. Check out this video to see what I'm talking about! What tools are you using for account research? #sales
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It was a packed event today at the Tome HQ, talking all-things "Selling into the enterprise" Thanks Reed McGinley-Stempel Keith Peiris Henri Liriani Pete Prowitt for a great discussion around - Convincing your first customers to take a bet on you - Deciding which ICP to stay focused on - Figuring out which person in the org to triangulate as your champion - Qualities of your most successful early sales hires #SFTechWeek
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Excited to unveil our AI sales assistant, allowing enterprise sellers to find a path into the accounts that matter
Your inbox is full of AI-generated sales emails that you don’t care about. Especially in enterprise, you can’t afford to miss. Therefore, we’re taking a different approach to breaking into new accounts. - Identify and act on strategic insights in real-time - Write outbound that targets real problems - Show up to every meeting ready to speak credibly Here’s what your day as an enterprise seller will look like.
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Tome转发了
David Kreiger, the president of SalesRoads, welcomes Brian Signorelli, the advisor at Tome, to the 15th episode of the "Sell Like A Leader" podcast! They talk about the factors to consider to ensure long-term team success in a new company. From listening to stakeholders to navigating different growth stages, Brian shares what lessons he's bringing to his new role. https://lnkd.in/dEpN85Qw --- ???Subscribe to the "Sell Like A Leader Podcast" and follow our page so you don’t miss any episodes! #salespodcast #salesleadershipstrategies
Ensuring Long-Term Team Success in a New Company With Brian Signorelli - Ep 15
https://spotify.com
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Excited to host a 30-minute panel at Andreessen Horowitz Tech Week in SF on Wednesday, October 9. If you're a founder or sales leader at a high-growth startup who predominantly sells into the enterprise, you won't want to miss this discussion. Our expert panelists will share invaluable insights on: - Breaking through to key decision-makers - Structuring an efficient sales process - Proven techniques for closing high-value deals
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Tome转发了
OpenAI just released their new o1 model, designed to think before it responds and excel in complex problems like science, coding, and math. The commonality between these subjects is the ability to understand a wealth of information, apply it to a problem, and put together a plan on how to solve that problem. For Tome’s AI sales assistant, that means taking our customers’ sales methodology, applying it to key areas in the sales process (like prospecting), and determining the optimal way to break in. Our team believes in scientific evals before rolling models out to large enterprises. We’ve been evaluating o1 vs. Claude Opus across several categories of tasks (i.e. extraction and citation), and make changes once we see statistically significant improvements. So far, o1 seems promising. We’re fortunate to work with OpenAI to boost sales efficiency, and we’re excited to see how the foundation model frontier progresses.
Learning to Reason with LLMs
openai.com