Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • BAND Reviews & Ratings
    3 Ratings
    Company Website
  • Google Cloud Platform Reviews & Ratings
    61,049 Ratings
    Company Website
  • Denodo Reviews & Ratings
    387 Ratings
    Company Website
  • SCIKIQ Reviews & Ratings
    14 Ratings
    Company Website
  • OpenMetal Reviews & Ratings
    40 Ratings
    Company Website
  • Gemini Enterprise Agent Platform Reviews & Ratings
    999 Ratings
    Company Website
  • StackAI Reviews & Ratings
    54 Ratings
    Company Website
  • TIMi Reviews & Ratings
    68 Ratings
    Company Website
  • Creatio Reviews & Ratings
    586 Ratings
    Company Website
  • BoldTrail Reviews & Ratings
    2,107 Ratings
    Company Website

What is HyperLake?

HyperLake is specifically tailored for organizations poised to adopt a future where AI agents predominantly utilize their infrastructure. Unlike traditional enterprise infrastructures that primarily serve human users through dashboards, applications, and scheduled pipelines, AI agents operate in a distinct manner by querying data, leveraging tools, initiating workflows, producing artifacts, and interacting across multiple systems, which requires their ongoing access to curated compute resources, data, policies, and services. To accommodate this transformation, HyperLake provides a command center that simplifies the deployment, management, operation, security, and governance of this agent-focused infrastructure. The initial offering emphasizes Agentic Data Cloud Infrastructure, featuring an open-stack solution for data, analytics, semantics, workflows, and agent systems that can be implemented within the customer’s virtual private cloud, private cloud, or on-premises environments. By adopting this groundbreaking strategy, organizations are enabled to integrate AI agents seamlessly into their current frameworks, significantly boosting efficiency and flexibility in their operations. This not only streamlines workflows but also empowers organizations to innovate and respond more swiftly to market demands.

What is Archestra?

Archestra is an open-source, self-hosted AI platform that facilitates the management and deployment of agents across an organization. It boasts agentic chat capabilities designed for users without a technical background, in addition to various applications, skills, collaborative initiatives, a server-side agent runtime, MCP orchestration, permission-aware RAG, LLM and MCP proxies, security safeguards, and extensive observability, all seamlessly integrated into one platform. Through single sign-on (SSO) authentication, users can engage with tools while maintaining their unique identities rather than relying on shared service accounts. The platform organizes projects to bring together chats, files, scheduled tasks, and instructions, while agents function within isolated containers, activated by triggers such as schedules, emails, or webhooks. MCP servers are deployed within the organization's Kubernetes environment, adhering to security-validated promotion protocols that implement separate credentials and network rules. Additionally, the knowledge bases can connect with Confluence, Jira, drives, and internal documents, preserving source-system ACLs to ensure users only access information they are authorized to view. Overall, this extensive array of features establishes Archestra as an essential asset for organizations aiming to enhance their AI deployment efficiency and governance. By offering a user-friendly experience coupled with robust security measures, Archestra empowers teams to innovate while maintaining stringent access controls.

Media

No images available

Media

Integrations Supported

Integrations Supported

Anthropic
Azure OpenAI Service
Confluence
Gemini Enterprise Agent Platform
Jira
Kubernetes
Model Context Protocol (MCP)
OpenAI

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Free
Free Version

Supported Platforms

SaaS

Supported Platforms

On-Prem

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

CerebrixOS

Date Founded

2023

Company Location

Canada

Company Website

www.cerebrixos.com

Company Facts

Organization Name

Archestra

Company Location

United States

Company Website

archestra.ai/

Categories and Features

Categories and Features

Agentic AI

Not specified

AI Infrastructure

Not specified

Popular Alternatives

Phinite Reviews & Ratings

Phinite

Phinite AI

Popular Alternatives

Mistral AI Studio Reviews & Ratings

Mistral AI Studio

Mistral AI
Mistral AI Studio Reviews & Ratings

Mistral AI Studio

Mistral AI
nebulaONE Reviews & Ratings

nebulaONE

Cloudforce