Customer Service & AI Application - Sierra is experiencing unprecedented customer interest, revenue growth, and customer momentum in the AI-driven customer service space [2] - Sierra is a leader in applying AI to customer service, serving traditional companies like ADT Home Security and Direct TV, as well as fast-growing Silicon Valley companies like Ramp [3] - Sierra's AI agents are solving problems autonomously, with Ramp's agent resolving 90% of customer cases without human intervention [10] - Sierra is conducting hundreds of millions of phone calls and digital chats on its platform annually [13] - Sierra went live with an international retailer in 15 markets in six weeks, automatically solving 85% of their customer service cases [21] Business Model & Pricing - Sierra employs an outcome-based pricing model, charging customers only when it autonomously solves their problems [6] - The outcome-based pricing model aligns Sierra's interests with its customers, as they only pay when Sierra saves them money and solves customer problems [7] Customer Base & Market Position - Over 20% of Sierra's customers have over $10 billion in revenue, and over half have over $1 billion in revenue [9] - Sierra serves a wide range of industries, including health insurance and banking [8] Expansion & Growth - Sierra has opened offices in New York, Atlanta, and London, with plans to expand into Asia [12] - Sierra raised $175 million last year led by Greenhouse Capital [17] - Sierra is open to raising more capital to facilitate faster growth and serve multinational corporations in Europe and Asia [17] Technology & Talent - Sierra focuses on applying existing AI models to solve problems, rather than building frontier models [19] - Sierra is not directly competing for the researchers building foundation models, but acknowledges a competitive market for talent in the AI application space [22][23]

Industry Trend - The US economy is shifting from a software focus to a hardware focus [1]

the space. Dan Ies, the firm's global head of technology research is behind the call. His research is behind the Dan Ies Bush AI Revolution ETF which was launched last month.Dan, it's so great to have you here, especially ahead of earning season. What do you expect from these big names and I know there's one name you think everybody should be in. You can get in now.You're not too late. Yeah, I mean Corner, I think this is going to be a very bullish tech earnings year. I think that the main thing is that we' ...

Core Insights - Oliver Rodzianko is an investment analyst with a focus on the technology sector, particularly in AI, semiconductors, software, and renewable energy, emphasizing companies with resilient management and competitive advantages [1] - The investment strategy involves value trading at inflection points without leverage, typically holding investments for one to two years [1] - Rodzianko anticipates significant annual returns based on his rating system, with expectations of 30% or above for strong buy, 22.5% or above for buy, 15% or above for hold, and 0% or negative for sell and strong sell ratings [1] Investment Strategy - The analyst employs advanced risk-mitigation strategies to protect against market downturns and capitalize on recessions [1] - A medium-term goal includes establishing a family office based on wealth-preservation portfolio models [1] Rating System - Strong Buy: Expected annual return of 30% or above for value trading and 20% or above for long-term investments [1] - Buy: Expected annual return of 22.5% or above for value trading and 15% or above for long-term investments [1] - Hold: Expected annual return of 15% or above for value trading and 10% or above for long-term investments [1] - Sell: Expected annual return of at least 0%, typically below 10% for value trading and similarly for long-term investments [1] - Strong Sell: Anticipates zero or negative annual returns for both value trading and long-term investments [1]