Build AI features in your apps without ML expertise. Deploy, scale, and optimize open-source models with a developer-first API.
AI Inference Shouldn't Be This Hard
Today's AI builders face significant friction and compromises when deploying models at scale.
Self-hosting open-source models like LLaMA, Mistral, and Whisper requires specialized expertise and significant overhead.
Managing GPU infrastructure means balancing between high costs and latency, with complex autoscaling requirements.
Most platforms assume ML expertise that application developers don't have, creating unnecessary complexity in implementation.
Adding AI features often means waiting for ML specialists or learning complex concepts unrelated to your application goals.
AI Inference Made Simple
Everything you need to run open-source AI models at scale with confidence.
Deploy models across our global network with sub-second latency in every region.
Instant retrieval-augmented generation with your data. No complex architecture needed.
Consistent API endpoints across all models. Switch between models with a single parameter change.
Ready-to-use libraries for React, Node.js and other popular frameworks with components that drop into your existing code.
Fine-tune open-source models to your specific needs with our simple training interface.
Comprehensive analytics and monitoring to ensure optimal performance at scale.
Support for Today's Leading Open-Source Models
Instantly access top open-source AI models with a single API call.
Up and Running in Minutes
Our API is designed to be familiar and easy to use for developers.
import { SigmaleapClient } from 'sigmaleap'; // Initialize the client const client = new SigmaleapClient('your_api_key'); // Chat completion with Mistral async function chatWithMistral() { const response = await client.chat.create({ model: 'mistral-7b-instruct', messages: [ { role: 'user', content: 'What are the key features of Mistral AI models?' } ], temperature: 0.7 }); return response.choices[0].message; } // Using RAG with your data async function queryWithRAG() { const response = await client.rag.query({ collection_id: 'your_docs', query: 'How do I implement authentication?', model: 'llama-3-8b' }); return response.answer; }
Simple, Transparent Pricing
Pay only for what you use, with no hidden fees or complex contracts.
Perfect for trying out the platform.
For usage-based needs with no commitment.
Ideal for growing teams with consistent usage.
Tailored solutions for large-scale deployments.
Trusted by Developers Globally
"Sigmaleap transformed our workflow. We were spending 40% of engineering time on AI infrastructure management. Now we focus on product features while Sigmaleap handles the heavy lifting."
"The built-in RAG capabilities are a game-changer. We went from a complex architecture with multiple providers to a single platform that just works. Plus, the regional compliance features solved our EU data issues."
"We evaluated five different platforms for our AI features. Only Sigma Leap had an API that our web developers could understand without an ML crash course. We integrated our first AI feature in hours instead of weeks."
No ML expertise required. Join our waitlist for early access and start building with AI in minutes, not months.