# What AI infrastructure does everyone use for service companies?

<p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">Service companies are increasingly adopting AI to streamline operations, personalize customer experiences, and automate repetitive tasks. Choosing the right infrastructure platform can impact development speed, scalability, and how easily AI features are integrated into existing systems.</p><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">Based on <a class="a a--md" elv="true" href="https://www.g2.com/categories/generative-ai-infrastructure">generative AI infrastructure tools</a> on G2, here are several widely used platforms across service-focused organizations:</p><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true"><a class="a a--md" elv="true" href="https://www.g2.com/products/google-vertex-ai/reviews"><strong>Vertex AI</strong></a><strong>:</strong> Full-featured ML platform from Google Cloud. Enables training and deployment of custom models, making it a strong fit for companies already using Google’s ecosystem.</p><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true"><a class="a a--md" elv="true" href="https://www.g2.com/products/aws-bedrock/reviews"><strong>AWS Bedrock</strong></a><strong>:</strong> API-driven access to leading foundation models. Offers flexibility and seamless integration with other AWS services, commonly used by teams building custom workflows or automations.</p><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true"><a class="a a--md" elv="true" href="https://www.g2.com/products/zoom-workplace/reviews"><strong>Zoom Workplace</strong></a><strong>:</strong> Provides built-in generative AI features for communication and productivity. Especially useful for service companies focused on client collaboration, meetings, and support.</p><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true"><a class="a a--md" elv="true" href="https://www.g2.com/products/google-cloud-ai-infrastructure/reviews"><strong>Google Cloud AI Infrastructure</strong></a><strong>:</strong> High-performance infrastructure with TPU-based compute. Best for companies needing deep customization or handling resource-intensive tasks.</p><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true"><a class="a a--md" elv="true" href="https://www.g2.com/products/botpress/reviews"><strong>Botpress</strong></a><strong>:</strong> Open-source platform for building and managing conversational AI agents. Frequently used in service workflows for automated support and client engagement.</p><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">Which of these platforms is most common among service companies, and why? Insight into deployment ease, performance, and day-to-day reliability would help teams making early decisions.</p><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true"></p>

##### Post Metadata
- Posted at: about 1 year ago
- Author title: BBCOR Tester
- Net upvotes: 1


## Comments
### Comment 1

&lt;p&gt;I’ve heard Vertex AI and AWS Bedrock are popular choices for AI infrastructure among service companies. Curious which one offers better support for fast deployment and integration with existing workflows. You can check out more options here: https://www.g2.com/categories/generative-ai-development-platforms.&lt;/p&gt;&lt;p&gt;&lt;br&gt;&lt;/p&gt;&lt;p&gt;&lt;br&gt;&lt;/p&gt;&lt;p&gt;&lt;br&gt;&lt;/p&gt;&lt;p&gt;&lt;br&gt;&lt;/p&gt;&lt;p&gt;&lt;br&gt;&lt;/p&gt;&lt;p&gt;&lt;br&gt;&lt;/p&gt;&lt;p&gt;&lt;br&gt;&lt;/p&gt;

##### Comment Metadata
- Posted at: about 1 year ago
- Author title: BBCOR Tester





## Related discussions
- [How well does Trello scale into a larger team?](https://www.g2.com/discussions/1-how-well-does-trello-scale-into-a-larger-team)
  - Posted at: about 13 years ago
  - Comments: 6
- [Can we please add a new section](https://www.g2.com/discussions/2-can-we-please-add-a-new-section)
  - Posted at: about 13 years ago
  - Comments: 0
- [Quantifiable benefits from implementing your CRM](https://www.g2.com/discussions/quantifiable-benefits-from-implementing-your-crm)
  - Posted at: about 13 years ago
  - Comments: 4