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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.
Description
Peta serves as an advanced control plane for the Model Context Protocol (MCP), streamlining, securing, governing, and overseeing how AI clients and agents interact with external tools, data, and APIs. This platform integrates a zero-trust MCP gateway, a secure vault, a managed runtime environment, a policy engine, human-in-the-loop approvals, and comprehensive audit logging into a cohesive solution, enabling organizations to implement nuanced access controls, safeguard raw credentials, and monitor all tool interactions conducted by AI systems. At the heart of Peta is Peta Core, which functions as both a secure vault and gateway, encrypting credentials, generating short-lived service tokens, verifying identity and compliance with policies for each request, managing the MCP server lifecycle through lazy loading and auto-recovery, and injecting credentials during runtime without revealing them to agents. Additionally, the Peta Console empowers teams to specify which users or agents can access particular MCP tools within designated environments, establish approval protocols, manage tokens, and review usage statistics and associated costs. This multifaceted approach not only enhances security but also fosters efficient resource management and accountability within AI operations.
API Access
Has API
No
API Access
Has API
Yes
Integrations
AutoGen
No
ChatGPT
No
Claude
No
CrewAI
No
Cursor
No
LangChain
No
Microsoft Teams
No
Model Context Protocol (MCP)
No
Slack
No
n8n
No
Integrations
AutoGen
Yes
ChatGPT
Yes
Claude
Yes
CrewAI
Yes
Cursor
Yes
LangChain
Yes
Microsoft Teams
Yes
Model Context Protocol (MCP)
Yes
Slack
Yes
n8n
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
Free
Free Trial
No
Free Version
Yes
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
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
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
Klique
Website
klique.ai/
Vendor Details
Company Name
Peta
Country
United States
Website
peta.io