Moveo.AI Enhances CX with Google Cloud's Vertex AI for Faster, Secure LLM Deployment
Customer Company Size
Mid-size Company
Region
- America
- Asia
- Europe
Country
- United States
- Brazil
- Greece
Product
- Vertex AI
- Dynamic Workload Scheduler
- A3 VMs (powered by NVIDIA H100 Tensor Core GPUs)
- A2 VMs (Powered by A100 Tensor Core GPUs)
- Cloud TPU v5e & Cloud TPUv5p
Tech Stack
- NVIDIA H100 Tensor Core GPUs
- NVIDIA A100 Tensor Core GPUs
- Google Cloud
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Productivity Improvements
- Customer Satisfaction
- Revenue Growth
Technology Category
- Analytics & Modeling - Generative AI
- Analytics & Modeling - Machine Learning
- Platform as a Service (PaaS) - Data Management Platforms
Applicable Industries
- Finance & Insurance
Applicable Functions
- Business Operation
- Sales & Marketing
Use Cases
- Predictive Maintenance
Services
- Cloud Planning, Design & Implementation Services
- Software Design & Engineering Services
- System Integration
About The Customer
Moveo.AI is a customer experience (CX) automation company founded in 2020, headquartered in New York, with offices in Athens and Sao Paulo. The company focuses on making complex AI technologies more accessible to its customers, particularly in the financial services sector. Moveo.AI specializes in natural language processing and generative AI solutions, aiming to infuse AI into customer interactions to enhance CX. The company is dedicated to empowering enterprises to leverage their data, scale operations, and offer immersive customer experiences. Moveo.AI's mission is to set CX in motion by providing fast, efficient, and secure AI-powered solutions that drive customer satisfaction and business growth.
The Challenge
Moveo.AI, a CX automation company, faced challenges in building the right architecture to develop and deploy its large language models (LLMs). The company had adopted a multi-cloud approach, training and serving models across different cloud platforms, which resulted in sluggish response times of 15 seconds or more and significant implementation overhead. Moveo.AI aimed to fine-tune and deploy multi-billion parameter models for its production customers, but needed a solution that could support its multi-cloud infrastructure, enable rapid development, and meet data privacy regulations like the General Data Protection Regulation. The company evaluated multiple vendors to find a solution that could consolidate operations, improve performance, responsiveness, and security.
The Solution
Moveo.AI chose to consolidate its operations with Google Cloud, leveraging Vertex AI to accelerate the development and deployment of its LLMs. By using A3 VMs powered by NVIDIA's H100 Tensor Core GPUs, Moveo.AI was able to supercharge its LLM development, allowing engineers and analysts to train custom LLMs precisely tuned for CX. Vertex AI provided the flexibility and control needed to maintain granular oversight of LLM models while benefiting from the platform's robust infrastructure. The integration of Dynamic Workload Scheduler further optimized resource management and capacity scheduling, enabling Moveo.AI to scale AI/ML resources according to its needs. This approach significantly reduced training times and allowed for rapid iteration, with over 150 versions of LLMs trained in just six months. Moveo.AI also expanded its use cases for financial services customers, including conversational marketing campaigns, debt collection, and customer service, while benchmarking accelerators in Google Cloud TPUs and GPUs.
Operational Impact
Quantitative Benefit
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