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What is Stelia AI?

Stelia stands at the forefront of applied AI innovation, working to shape the future of AI operating systems by providing the essential infrastructure for dependable, production-grade AI that promises reliability and manageability for large-scale implementations. The Stelia OS is tailored to streamline the shift from fragmented AI ecosystems to a well-regulated execution model, allowing companies to progress from experimental trials to robust systems adept at handling intricate, high-stakes data scenarios. It is designed to encompass the entire intelligence lifecycle, incorporating vital elements such as infrastructure, orchestration, governance, and operational components crucial for the successful operation of expansive AI applications. By tackling the real-world challenges that come with operational AI, it ensures that key factors like permissions, provenance, policy enforcement, observability, security, and runtime governance are built-in features, rather than added on after the fact. Stelia is dedicated to crafting scalable and compliant solutions for diverse industries, including space, retail, media, and entertainment, thus driving innovation and efficiency within these fields. As a result, Stelia’s contributions are poised to transform how companies leverage AI capabilities in their day-to-day operations, ultimately leading to a more integrated and effective approach to artificial intelligence. This commitment not only enhances operational effectiveness but also encourages a more strategic adoption of AI technologies across various sectors.

What is Kodosumi?

Kodosumi is a highly adaptable, open-source runtime environment designed to function independently of any specific framework, leveraging Ray to enhance the deployment, management, and scaling of agentic services in business environments. By utilizing a singular YAML configuration, it simplifies the deployment of AI agents, thereby reducing setup complexities and preventing vendor lock-in. Tailored to handle both unexpected traffic surges and continuous workflows, it intelligently adjusts across Ray clusters to ensure consistent performance. Additionally, Kodosumi features real-time logging and monitoring through the Ray dashboard, which provides immediate insights and facilitates efficient troubleshooting of complex processes. Its core components include autonomous agents that complete various tasks, orchestrated workflows, and agentic services that can be deployed—all managed through a user-friendly web administration interface. This comprehensive feature set positions Kodosumi as an excellent choice for organizations aiming to optimize their AI operations while guaranteeing both scalability and reliability. As a result, businesses can confidently harness advanced AI capabilities without the burden of intricate management challenges.

Media

Media

Integrations Supported

DeepSeek
Docker
FastAPI
Kubernetes
LangChain
Llama
OpenAI
Python
RAY
Sokosumi
YAML

Integrations Supported

DeepSeek
Docker
FastAPI
Kubernetes
LangChain
Llama
OpenAI
Python
RAY
Sokosumi
YAML

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Free
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Stelia AI

Date Founded

2021

Company Location

United Kingdom

Company Website

stelia.ai/

Company Facts

Organization Name

Masumi

Company Location

United States

Company Website

www.kodosumi.io

Categories and Features

Artificial Intelligence

Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)

Categories and Features

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