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  3. LatentAI
Logo of LatentAI

LatentAI

byLatentAI
in Edge AI Solutions
4.5

Overview

Product Information on LatentAI

Updated 13th October 2025

What is LatentAI?

LatentAI is a software designed to facilitate efficient deployment and optimization of artificial intelligence models for edge devices. The software provides tools for model compression, quantization, and adaptation, enabling neural networks to run with reduced resource requirements while maintaining accuracy. LatentAI software supports integration with existing workflows and offers compatibility with multiple hardware platforms, assisting organizations in simplifying the process of converting complex AI models into formats suitable for real-time inference at the edge. This software addresses the business problem of deploying AI solutions on resource-constrained devices by offering automated workflows, streamlined model packaging, and optimization capabilities for inference performance and scalability in distributed environments.

LatentAI Pricing

LatentAI software operates on a subscription-based pricing model with tiered plans structured according to usage requirements and feature sets. The software offers scalable options for deploying and managing edge AI solutions, with pricing influenced by factors such as device quantity, functionality needs, and support level. Enterprise customizations and additional services may result in tailored pricing depending on organizational demands.

Overall experience with LatentAI

DATA SCIENTIST
1B - 3B USD, Software
FAVORABLE

“A perfect tool for AI modelling”

5.0
Jul 24, 2023
I have uses latent AI api for research purpose. They have a great set of models available and most of them are efficient and takes much letter time in inferencing.
There are no reviews in this category.
CRITICAL

About Company

Company Description

Updated 7th December 2023

Latent AI is a company focused on harnessing the potential of Artificial Intelligence (AI) and edge computing. The firm aims to make edge AI solutions efficient, practical, and beneficial. It offers an automated edge Machine Learning Operations (MLOps) pipeline which forms highly efficient, compressed, and secure edge models on a large scale. By this, Latent AI aims to eliminate the issues related to maintenance and configuration, hence increasing the utility of edge AI for both federal and commercial organizations.

Company Details

Updated 26th February 2025
Company type
Private
Year Founded
2018
Head office location
Menlo Park, United States
Number of employees
11 - 50
Website
http://latentai.com

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Key Insights

A Snapshot of What Matters - Based on Validated User Reviews

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Peer Discussions

LatentAI Reviews and Ratings

4.5

(2 Ratings)

Rating Distribution

5 Star
50%
4 Star
50%
3 Star
0%
2 Star
0%
1 Star
0%
Why ratings and reviews count differ?

Customer Experience

Evaluation & Contracting

5.0

Integration & Deployment

5.0

Service & Support

5.0

Product Capabilities

5.0

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  • DATA SCIENTIST
    1B-10B USD
    Software
    Review Source

    A perfect tool for AI modelling

    5.0
    Jul 24, 2023
    I have uses latent AI api for research purpose. They have a great set of models available and most of them are efficient and takes much letter time in inferencing.
  • SOFTWARE DEVELOPER
    50M-1B USD
    Software
    Review Source

    A perfect AI model for my IoT devices and smartphones

    4.0
    Jun 17, 2023
    This AI model is excellent that runs on IoT devices and smartphones specially and enables intelligent processing and good decision making of data. Latent AI is fiercely challenging other AI models.
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Reviewer Insights for: LatentAI
Performance of LatentAI Across Market Features

LatentAI Likes & Dislikes

Like

Low cost Less time to inference To the point result

Like

Best part is it keeps the AI model inactive until it is needed It runs efficiently on resource-constrained devices like IoT devices. No more needs to relay heavily on cloud .

Dislike

Could have expand in wide range of tasks

Dislike

The one thing that i found is limited computation capabilities. Second is somehow it's complexity while connecting with IoT devices , a little bit challenging. Finally I found privacy concerns and updates .