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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

The Data Orchestration Platform enables the transformation of your IoT data into a comprehensive AI environment, allowing for the seamless processing of thousands of AI pipelines and the capability to scale up to millions of devices. It's time to harness the power of your data and elevate your IoT project to new heights with Astarte Flow: Your AI Environment. This platform serves as the central hub for integrating your AI pipelines and data science tasks within your IoT application. Experience the advantages of a cloud-native solution without the burden of DevOps, as Astarte handles Kubernetes management on your behalf. Embrace cutting-edge cloud technologies without needing any specific domain expertise. With its commitment to open-source principles, Astarte utilizes established, open, and standard protocols and technologies. It stands out as the preferred platform for your AI and IoT initiatives, efficiently managing and processing your IoT and context data while seamlessly handling everything in between—from data collection to deployment. By leveraging Astarte, you can unlock the full potential of your IoT ecosystem, ensuring a more effective and innovative approach to data utilization.

Description

Klique is a vendor-agnostic enterprise AI control plane designed to manage how AI requests, models, workloads, and compute resources are routed and governed. Its Smart Routing engine sends individual AI requests to suitable models based on policy, cost, latency, and data sensitivity while routing larger workloads according to infrastructure capacity, locality, and price. The platform can work with internal models, open-source models, hosted APIs from providers such as OpenAI and Anthropic, and AI workloads running across private or public infrastructure. AI Service Management turns model endpoints into governed services with centralized token budgets, spend limits, quotas, virtual keys, identity controls, and audit trails. These policies can be applied consistently across human users, software agents, development tools, teams, and projects. Klique’s GPU Orchestration engine pools GPUs, CPUs, and cloud resources so organizations can allocate compute using fractional sharing, quotas, and priority scheduling. It supports use cases including application inference, model training, data processing, research workloads, and production model serving. Klique can be deployed on-premises, in air-gapped environments, across major cloud providers, or in hybrid architectures while maintaining the same governance and visibility model. The platform is intended for enterprises, AI teams, IT organizations, research groups, and regulated environments that need centralized control over AI infrastructure, usage, and spending.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Flipdish Yes 

Integrations

Flipdish No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Ispirata

Country

Italy

Website

ispirata.com

Vendor Details

Company Name

Klique

Website

klique.ai/

Product Features

Data Management

Customer Data No 
Data Analysis Yes 
Data Capture Yes 
Data Integration No 
Data Migration No 
Data Quality Control Yes 
Data Security No 
Information Governance Yes 
Master Data Management Yes 
Match & Merge No 

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