.png&w=256&q=75){kind=small}
A Unified Developer Platform
Leverage all best-in-class LLMs
Use a unified interface for any model. Save hours from building custom API clients.
Built for scaling
Bypass rate limits and make hundreds of concurrent calls. No latency impact.
Real-time performance metrics
Monitor latency, costs, and usage patterns across all models.
Detailed usage analytics
Track user behavior, analyze costs, and optimize resource allocation.
Build with a Unified API
Endpoint
Production-ready infrastructure
with one unified API endpoint and intelligent model routing.
A unified interface for any model with built-in infrastructure, so you can focus on building a product people love.
Integrate within minutes
Easy integration with OpenAI style API call.
1from openai import OpenAI23client = OpenAI(4 base_url="https://api.multipai.com/api/",5 api_key="YOUR_API_KEY",6)78response = client.chat.completions.create(9 model="gpt-3.5-turbo",10 messages=[{"role": "user", "content": "Hello"}],11 stream=True,12 extra_body={"customer_identifier": "customer_11"}13)
A simple interface so you can switch without rewriting code. It fits right into your codebase.
Leave the AI infrastructure
challenges to us
Scalability
Complex AI algorithms can strain blockchain networks, requiring ongoing research and development to address this issue.
Data Privacy
Balancing transparency with user privacy for AI training requires careful design and implementation.
Regulatory Compliance
Evolving regulatory frameworks for these new technologies add complexity to development and deployment.
Infrastructure Requirements
Fully realizing the potential of decentralized AI requires systems with significant computing power, rapid connectivity, and storage capabilities.
Focus on building your application while we handle the complex infrastructure requirements of AI model management and scaling.