Meteron AI

A comprehensive backend platform designed to simplify AI product development with scalable infrastructure and precise metering capabilities.

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AI API AI Developer Tools Large Language Models (LLMs)No-Code&Low-Code AI Image Generator AI App Builder

About Meteron AI

Meteron is an advanced backend platform that streamlines the development of AI applications by managing infrastructure, autoscaling, and storage seamlessly. It specializes in metering usage for large language models and generative AI, offering load balancing and resource management. Designed to empower developers, Meteron enables the deployment of high-performance AI models without extensive infrastructure expertise, supporting growth and high traffic volumes with ease.

How to Use

Integrate your AI models with Meteron's API to manage metering, load balancing, and storage effortlessly. Use the web interface or dynamic API to control servers and resources. Access comprehensive documentation, sample code, and community support via Discord for a smooth onboarding experience.

Features

Supports unlimited storage across major cloud providers

Compatible with diverse models including text, image, and open-source options like Llama, Mistral, and Stable Diffusion

Flexible metering options based on requests or tokens

Cloud storage integration for scalable data management

Intelligent Quality of Service (QoS) for optimized performance

Per-user metering to control individual usage

Data export capabilities for analytics and backups

Elastic queuing to handle demand spikes

Concurrency control for server requests

Automatic load balancing and resource allocation

Credit-based billing system

Real-time performance tracking and analytics

Use Cases

Developing multi-tenant applications allowing users to generate images with Controlnet AI

Creating AI-powered galleries with models like Stable Diffusion XL

Managing image generation workflows with per-user limits and billing for requests or tokens

Best For

AI software developersAI startup foundersSmall to medium AI enterprisesMachine learning engineersAI research teamsAI product managers

Pros

Supports a wide range of AI models and cloud providers

Simplifies complex AI infrastructure setup and management

Built-in metering and billing features for usage control

Enables elastic scaling and efficient load balancing

User-friendly low-code platform with extensive examples and active community support

Cons

Some advanced features are still in development

On-premises licensing requires direct contact with sales

Requires basic understanding of HTTP for integration

Pricing Plans

Choose the perfect plan for your needs. All plans include 24/7 support and regular updates.

Free Plan

$0 per month

Includes access for admins and members (coming soon), 5GB file storage, 1,500 image generations, 10,000 LLM chat completions, along with features like per-user metering, credit system, elastic queuing, concurrency control, QoS, cloud storage, performance tracking, and automatic load balancing. Additional features such as custom cloud storage and data export are upcoming.

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Professional Plan

$39 per month

Suitable for small teams, offering support for five users, 300GB storage, 10,000 image generations, and 50,000 chat completions. Includes per-user metering, credit system, elastic queuing, concurrency controls, QoS, cloud storage, performance analytics, and automatic load balancing. Custom cloud storage and data export are available.

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Business Plan

$199 per month

Designed for larger teams, providing support for 30 users, 2TB storage, 100,000 image generations, and 800,000 chat completions. Features encompass per-user metering, credit system, elastic queuing, concurrency management, QoS, cloud storage, comprehensive performance tracking, and automatic load balancing. Custom cloud options and data export are included.

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Frequently Asked Questions

Find answers to common questions about Meteron AI

Is any special library needed to connect with Meteron?

No, you can use standard HTTP clients like curl, Python requests, or JavaScript fetch. Send your requests to Meteron's API instead of directly to your inference endpoints.

How do I specify my server locations in Meteron?

Use the web UI for static or infrequently changing server setups. For dynamic configurations, utilize our simple API to update server details programmatically.

How does request prioritization work in the queue?

Meteron offers default business rules. You can assign priority classes such as high, medium, or low, with VIP users receiving priority and minimal delay.

Do I need coding skills to operate Meteron?

Meteron is a low-code service requiring some HTTP knowledge. We provide integration examples, and our Discord community is available for support.

Can I run Meteron on my own servers?

Yes, on-premises licenses are available. You’ll receive a complete system that can run on any cloud provider. Contact us at hey@meteron.ai for details.

What payment options are accepted?

We accept major credit cards and wire transfers for billing.

How does per-user metering function?

Set daily and monthly limits for each user in Meteron. Include an X-User header in requests to enforce individual usage caps and prevent overuse.