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Build AI SolutionsWithout the Complexity

Enterprise-grade AI integration platform for developers. Multi-LLM support, advanced agents, and built-in governance.

5+ LLM Providers
OpenAI, Anthropic, Google
< 5min
Time to Deploy
Enterprise
Security & Compliance
Supported by
Google Cloud
main.ts
99.9%
Uptime SLA
< 100ms
Avg Response
$ cat capabilities.json

Everything You Need to Build Production AI

From chat interfaces to autonomous agents, we've built the tools you need to ship AI features fast.

Chat Interface

Production-ready chat UI with streaming, markdown, code highlighting, and file uploads

$arelis chat deploy

Knowledge Base

Vector search, RAG pipelines, and semantic retrieval with automatic embeddings

$arelis kb create --index docs

AI Agents

Deploy autonomous agents with tools, memory, and orchestration capabilities

$arelis agent deploy --name support

Multi-LLM Support

Switch between OpenAI, Anthropic, Google, Cohere, and Mistral with unified API

$arelis model switch gpt-4

Governance & Compliance

Built-in content filtering, audit logs, and compliance frameworks (GDPR, EU AI Act)

$arelis compliance enable --framework eu-ai-act

Team Collaboration

Role-based access, project workspaces, and shared resources for engineering teams

$arelis team invite dev@company.com --role engineer

Project Management

Organize AI systems by project with version control and environment management

$arelis project create --name customer-support

Analytics & Monitoring

Real-time metrics, usage tracking, cost analysis, and performance dashboards

$arelis analytics dashboard

Want to see these features in action?

Explore Features in Detail
./workflow.sh

Deploy AI Infrastructure in Minutes

Manage Kubernetes workloads for AI agents, code generation, and production solutions

1

Install SDK

npm install @arelis-ai/arelis-ai-sdk

Install the Arelis AI SDK to manage AI infrastructure

~2 minutes
2

Create Infrastructure

sdk.createPod()

Deploy pods with persistent storage and URL exposure

~3 minutes
3

Deploy & Orchestrate

sdk.ensureAppResources()

Deploy AI agents and code generation solutions

~5 minutes
4

Monitor & Manage

sdk.executeCommandStreaming()

Stream logs, manage processes, and handle file I/O

~2 minutes
Step 1: Install SDK
import { ArelisKubernetesSDK } from '@arelis-ai/arelis-ai-sdk';

const sdk = new ArelisKubernetesSDK({
  defaultNamespace: 'default',
  cluster: {
    clusterName: 'arelis-ai-studio',
    zone: 'europe-west3'
  }
});
Total deployment time: ~12 minutes
$ cat architecture.yaml

Built for Enterprise Scale

Production-grade architecture designed for reliability, security, and performance

$ ready to build?

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99.9%
Uptime SLA
< 100ms
Response Time
60%
Cost Reduction
24/7
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