Future AGI vs. Gemini Enterprise Agent Platform

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Future AGI
Score 0.0 out of 10
N/A
Future AGI is an AI lifecycle platform designed to support enterprises throughout their AI journey. It combines rapid prototyping, rigorous evaluation, continuous observability, and deployment to help build, monitor, optimize, and secure generative AI applications.N/A
Gemini Enterprise Agent Platform
Score 8.6 out of 10
N/A
The Gemini Enterprise Agent Platform is a fully-managed, unified environment designed for the development, orchestration, and governance of Autonomous AI Agents. The platform consolidates AI Studio, Agent Builder, and a diverse Model Garden to support the creation of complex, multi-agent systems grounded in enterprise data and business logic.
$0
Starting at
Pricing
Future AGIGemini Enterprise Agent Platform
Editions & Modules
No answers on this topic
Imagen model for image generation
$0.0001
Starting at
Text, chat, and code generation
$0.0001
per 1,000 characters
Text data upload, training, deployment, prediction
$0.05
per hour
Video data training and prediction
$0.462
per node hour
Image data training, deployment, and prediction
$1.375
per node hour
Offerings
Pricing Offerings
Future AGIGemini Enterprise Agent Platform
Free Trial
YesYes
Free/Freemium Version
YesYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeOptional
Additional DetailsPricing is based on the Vertex AI tools and services, storage, compute, and Google Cloud resources used.
More Pricing Information
Community Pulse
Future AGIGemini Enterprise Agent Platform
Considered Both Products
Future AGI

No answer on this topic

Gemini Enterprise Agent Platform
Chose Gemini Enterprise Agent Platform
we evaluating Vertex AI. we also considered several ML platforms that provide same capabilities for building and training, and deploying ML models. The main alternatives we evaluated were anti gravity Azure Machine Learning, and to a lesser extent open-source ML-Ops such as …
Chose Gemini Enterprise Agent Platform
It has the best accuracy while comparing to the other AI and has the best accuracy too. It will provide the results within a few seconds.
Chose Gemini Enterprise Agent Platform
Out the gate, Vertex just seemed to be more accurate on command with our prompts. We spent less time versus other platforms getting exactly what we wanted. Google's UI is way more robust, too, with how you can configure the exact settings you want when doing image generation. …
Chose Gemini Enterprise Agent Platform
We tend to adapt and use the platform that suits the customers needs the best. We return to Vertex AI because it is the most in-depth option out there so we can configure it any which way they want. However, it is not quick to market and constantly changing or updating it's …
Chose Gemini Enterprise Agent Platform
I have used OpenAI for their LLM and Vector Embedding service, they are really good at it. But Vertex AI has other better services like training pipeline , depolyment creation etc.
Chose Gemini Enterprise Agent Platform
I have used AWS sagemaker is the past for AI/ML model development in my previous organization for everything. Sagemaker is good with respect to certain services but when we talk about Vertex AI in comparison, AutoML is the differentiator. AutoML is very strong and is able to …
Chose Gemini Enterprise Agent Platform
Let's say that Azure OpenAI Service offers you exactly what you look for in simple-to-understand terms: your own private instance of OpenAI API backend.

Chose Gemini Enterprise Agent Platform
Vertex AI is much more accessible to non-developers than IBM's product. Moreover, Vertex AI integrates well with other Google products, enhancing its capabilities. A big plus is its integration with cloud storage, that allows for better management and access of data. In all …
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Future AGIGemini Enterprise Agent Platform
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User Ratings
Future AGIGemini Enterprise Agent Platform
Likelihood to Recommend
-
(0 ratings)
7.6
(0 ratings)
Performance
-
(0 ratings)
7.5
(0 ratings)
Configurability
-
(0 ratings)
7.7
(0 ratings)
User Testimonials
Future AGIGemini Enterprise Agent Platform
Likelihood to Recommend
No answers on this topic
In my regular activity, Vertex AI is missing some of the True Positive Alerts due to the ML training and needs to train more data sets, after it has reduced the false positives. To find the Zero day Vulnerability it has low accuracy and sometimes it misses the true positives. Once we have trained with the large data set, it came up with good results.
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Pros
No answers on this topic
  • Vertex AI comes with support for LOTs of LLMs out of the box
  • MLOps tools are available that help to standardize operational aspects
  • Document AI is an out of the box feature that works just perfectly for our use cases of automating lots to tedious data extraction tasks from images as well as papers
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Cons
No answers on this topic
  • Customization of AutoML models - A must needed capability to be able to tweak hyperparameters and also working with different models
  • Model Explainability -Providing more comprehensive explanations about how models are utilizing features could be very beneficial
  • Model versioning and experiments tracking - Enhancing the versioning capability could be good for end users
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Performance
No answers on this topic
It's not always instant, but understandable when it's under heavy load. It's not impressive nor disappointing, just what is expected. But when calling this platform through API's for it to do the actions requested there is minimal delay and wait time. It feels very responsive and quick when integrating it with a call center chat platform for example.
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Alternatives Considered
No answers on this topic
we evaluating Vertex AI. we also considered several ML platforms that provide same capabilities for building and training, and deploying ML models. The main alternatives we evaluated were anti gravity Azure Machine Learning, and to a lesser extent open-source ML-Ops such as Kubeflow, very flexible and highly combustible, full customisation on cloud. we used chatgpt and claud AI ML, model also we observed many changes Vertex AI will be differ from this. we used all the products but Vertex AI will be differ on the ML model training and deployment.
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Return on Investment
No answers on this topic
  • It has helped speed up the process of getting the exact image we need for our various marketing initiatives.
  • Images are stored in our Google Cloud, which we use in our business anyways (makes it super easy to find/share)
  • Google's security is always top notch. Even though it's just images, we still need the confidentiality of our creations.
Read full review
ScreenShots

Gemini Enterprise Agent Platform Screenshots

Screenshot of an introduction to generative AI on Vertex AI - Vertex AI Studio offers a Google Cloud console tool for rapidly prototyping and testing generative AI models.Screenshot of gen AI for summarization, classification, and extraction - Text prompts can be created to handle any number of tasks with Vertex AI’s generative AI support. Some of the most common tasks are classification, summarization, and extraction. Vertex AI’s PaLM API for text can be used to design prompts with flexibility in terms of their structure and format.Screenshot of Custom ML training overview and documentation - An overview of the custom training workflow in Vertex AI, the benefits of custom training, and the various training options that are available. This page also details every step involved in the ML training workflow from preparing data to predictions.Screenshot of ML model training and creation -  A guide that shows how Vertex AI’s AutoML is used to create and train custom machine learning models with minimal effort and machine learning expertise.Screenshot of deployment for batch or online predictions - When using a model to solve a real-world problem, the Vertex AI prediction service can be used for batch and online predictions.