Magic AI

Overview

Magic AI develops advanced code models to automate software engineering and AI research, aiming for safe artificial general intelligence (AGI). Utilizing large-scale pre-training, domain-specific reinforcement learning, and high-performance inference on 8,000 H100 GPUs, Magic AI focuses on core AGI challenges with a research-driven approach.

Features

Frontier-Scale Model Pre-training

• Execute petascale training runs on 8,000 H100 GPUs
• Utilize a unified corpus of code, technical papers, and domain-specific data
• Optimize data pipelines for continuous model refresh and expansion

Domain-Specific Reinforcement Learning

• Fine-tune RL models for code generation and automated research tasks
• Implement self-play and automated evaluation loops for iterative capability gains
• Craft reward models to encourage correctness, efficiency, and safety

Ultra-Long Context Processing

• Support context windows up to 100 million tokens
• Enable holistic reasoning across entire codebases, research archives, and experiment logs
• Maintain speed at scale with memory-efficient attention mechanisms

High-Performance Inference Infrastructure

• Elastically scale GPU usage with a distributed inference engine
• Utilize custom kernels and low-latency networking for sub-second responses on large models
• Provide tooling for real-time monitoring, load balancing, and cost controls

Governance, Safety & Ecosystem Partnerships

• Incorporate alignment evaluations and red-teaming into every release
• Model formal safety policies after emerging AGI governance frameworks
• Form technical partnerships with organizations like Google Cloud for responsible deployment

Use Cases

• Ingest multi-million-line repositories and output optimized, modernized equivalents for end-to-end legacy codebase refactoring
• Generate novel research hypotheses after processing decades of scientific papers in a single context window for autonomous literature review and experiment design
• Analyze full CI/CD logs and produce executable patches that resolve failing builds in real time for continuous integration remediation
• Apply ultra-long context reasoning to prove properties across extensive codebases and documentation for formal verification companion

Pricing

For detailed pricing information, visit Magic AI.

Pairing Magic AI with 11x

11x is an AI digital workforce platform that automates B2B go-to-market and sales operations. Its AI agents, Julian and Alice, autonomously engage, qualify, and schedule meetings with leads using behavioral signals—without requiring engineering lift or manual outreach.

Combining Magic AI with 11x can significantly enhance operational efficiency. Magic AI's ultra-long context processing can analyze extensive sales data, generating optimized outreach strategies for 11x's AI agents. Additionally, Magic AI's reinforcement learning models can continuously refine these strategies based on real-world outcomes.

Book a demo to see how 11x can identify your ideal buyers, engage decision-makers 24/7, and book meetings on autopilot.