This profile is not managed yet, if you would like to manage
this profile, please contact us at team@iotone.com
Iterate.ai Logo

Iterate.ai

United States
San Jose
2013
Private
< $10m
51 - 200
Open website

Developer of AI-powered low code software and ecosystem intended to accelerate innovation projects within large enterprises. Our platform accelerates the development and deployment of AI-centric enterprise applications. Our low-code environment empowers us to develop and deploy digital solutions faster, enabling enterprises to go to market 17x faster with their digital initiatives. We have deployed at scale with several global enterprises, such as Circle-K, Pampered Chef, Ulta Beauty, Driven Brands, Jockey, and others. Iterate's innovation platform has more than 10 patents pending.

Read More

Circle-K, Pampered Chef, Ulta Beauty, Driven Brands, Jockey

Read More
[Vendor_Name] is active in the healthcare and hospitals, oil and gas, and retail industries.
Industries
Healthcare & Hospitals
Oil & Gas
Retail
Iterate.ai’s Technology Stack maps Iterate.ai’s participation in the IoT technology stack.
  • Application Layer
  • Functional Applications
  • Cloud Layer
  • Platform as a Service
    Infrastructure as a Service
  • Edge Layer
  • Automation & Control
    Processors & Edge Intelligence
    Actuators
    Sensors
  • Devices Layer
  • Robots
    Drones
    Wearables
  • Supporting Technologies
  • Analytics & Modeling
    Application Infrastructure & Middleware
    Cybersecurity & Privacy
    Networks & Connectivity
Technological Capability
None
Minor
Moderate
Strong
Number of Podcasts1
EP 147 - How low-code platforms can transform your AI development process - Brian Sathianathan, co-founder and CTO, Iterate AI
Wednesday, Sep 28, 2022

In this episode, we interviewed Brian Sathianathan, co-founder and CTO of Iterate AI. Iterate AI is a low-code rapid prototyping platform set up in 2013 that helps accelerate innovation projects with large enterprises by developing and employing digital solutions faster using the 465 pre-built software components.

In this talk, we discussed how a low-code platform simplifies the completion of tasks by using components of AI and IoT tech stacks that are already pre-built. We also covered how low-code platforms can transform the go-to-market path for edge and cloud AI solutions.

Key Questions:

  • What is the difference between the traditional AI-development process and low-code platforms for enterprises?
  • What are the unique challenges of deploying a platform for edge AI versus cloud AI?
  • How can high volumes of data be efficiently tagged to train AI algorithms?
Read More
Download PDF Version
test test