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Google > Case Studies > Efficiency Engine: How Three Startups Deliver Results Faster with Vertex AI

Efficiency Engine: How Three Startups Deliver Results Faster with Vertex AI

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Customer Company Size
Startup
Country
  • United States
Product
  • Vertex AI
  • Gemini
Tech Stack
  • Google Cloud
  • Vertex AI
  • Gemini
Implementation Scale
  • Enterprise-wide Deployment
Impact Metrics
  • Productivity Improvements
  • Customer Satisfaction
  • Innovation Output
Technology Category
  • Analytics & Modeling - Machine Learning
  • Analytics & Modeling - Natural Language Processing (NLP)
  • Platform as a Service (PaaS) - Data Management Platforms
Applicable Industries
  • Healthcare & Hospitals
  • Professional Service
Applicable Functions
  • Business Operation
  • Product Research & Development
Services
  • Cloud Planning, Design & Implementation Services
  • Software Design & Engineering Services
About The Customer
The article profiles three startups: Nextnet, Abstrakt, and Ferret.ai, each leveraging AI to drive innovation in their respective fields. Nextnet is a specialized search engine for life sciences and pharmaceutical researchers, using AI to analyze vast amounts of biomedical data. Abstrakt focuses on enhancing contact center customer experiences through generative AI, providing real-time transcription and sentiment analysis. Ferret.ai offers insights into personal and professional networks, using AI to analyze global data and provide relationship intelligence. These startups are part of a larger trend of AI-driven innovation, with more than 60% of funded generative AI startups building on Google Cloud. They represent a diverse range of industries, from healthcare research to customer service and identity verification, all utilizing AI to solve complex problems and improve their offerings.
The Challenge
Startups face the challenge of rapidly innovating and bringing products to market while managing limited resources. They need to focus on solving significant pain points for their customers and avoid getting bogged down by trivial tasks. The pressure to innovate quickly is compounded by the need to integrate AI effectively into their offerings to enhance execution and gain insights. Many startups are turning to platforms like Google Cloud's Vertex AI to accelerate their development processes and improve their product offerings. The challenge is to leverage AI to not only enhance their products but also streamline their development processes, allowing them to iterate faster and bring solutions to market more efficiently.
The Solution
The startups profiled in the article are utilizing Google Cloud's Vertex AI platform to accelerate their innovation processes. Nextnet uses Vertex AI and Gemini for natural language processing and knowledge extraction, allowing researchers to ask complex questions in plain language and receive accurate answers. This accelerates research and drives innovation in medicine by facilitating a deeper understanding of complex biomedical information. Abstrakt leverages Google Cloud’s infrastructure and Vertex AI suite to transcribe calls in real-time and evaluate sentiment, empowering teams to have more meaningful conversations with customers. Ferret.ai uses AI to provide insights into personal and professional networks, analyzing global data to offer relationship intelligence and monitoring solutions. By using Vertex AI, these startups can focus on solving significant pain points for their customers, deploying packaged back-end solutions to benefit their speed to market. Google Cloud's open ecosystem of models and APIs offers flexibility, allowing startups to adapt and grow as their needs evolve.
Operational Impact
  • Nextnet accelerates research and drives innovation in medicine by facilitating a deeper understanding of complex biomedical information.
  • Abstrakt enhances contact center customer experiences by providing real-time transcription and sentiment analysis, leading to more meaningful conversations.
  • Ferret.ai offers relationship intelligence and monitoring solutions, helping users avoid risks and identify opportunities.
Quantitative Benefit
  • More than 60% of funded generative AI startups are building on Google Cloud.

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