The AI-Native Systems Language — ai_ask() is a builtin in v0.4.0
// No imports. No SDKs. Just AI. fn main() -> void { ai_set_key("your-key") // 6 builtins available let answer = ai_ask( "What is FORGE?", "" ) print(answer) // Classify sentiment let label = ai_classify( "I love this!", "positive,negative" ) // Translate text let trans = ai_translate( "Hello", "Spanish" ) }
# Python: 3 imports + async + error handling import openai import os import asyncio client = openai.OpenAI( api_key=os.environ["OPENAI_API_KEY"] ) async def ask(): response = await client.chat.completions.create( model="gpt-4o", messages=[{"role": "user", "content": "What is FORGE?"}] ) print(response.choices[0].message.content) asyncio.run(ask()) # No built-in classify or translate → # requires separate libraries
FORGE's @parallel annotation is a direct replacement for OpenMP pragmas — but cleaner, safer, and providing compile-time data-dependency analysis across all cores automatically.
OneTBB and CUDA require manual thread management, complex memory hierarchy handling, and separate code paths. FORGE replaces both with a single annotation-based system.
Write once, run CPU + GPUReplace Verse in Unreal Engine with a language purpose-built for game engine workloads. ECS, asset streaming, zero-GC physics loops — all first-class language features.
Game-first compiler designAzure cloud infrastructure demands throughput without GC overhead. DirectX integration path. FORGE's 212 KB HTTP server footprint is 212× leaner than Node.js.
Hardware-speed cloud infraMetal compute shader integration. Swift-compatible FFI. FORGE's compile-time parallel scheduling fits Apple's system-level performance philosophy perfectly.
Metal + Swift complementReplace CUDA boilerplate with @gpu annotations. One codebase targets CPU and GPU. FORGE generates optimized GPU dispatch without manual memory transfer code.
Replace Verse/C++ in Unreal Engine. Native ECS, zero-GC physics, 9.47 GB/s asset streaming.
Azure compute acceleration. DirectX integration. 212 KB HTTP server, no-GC cloud workloads.
Metal compute shader backend. Swift interop. Compile-time parallel scheduling for Mac/iOS.
@gpu auto-offload replacing CUDA orchestration. CPU/GPU unified codebase. AI inference pipeline.
| Package | Price | What's Included |
|---|---|---|
| Annual Licence | $2M / yr | Commercial licence, priority support, integration engineering, 50 seats |
| Source Code Licence | $10M | Full source access, modification rights, internal use, 5-year support contract |
| Full Acquisition — Technology | $200M – $500M | Compiler + Runtime + All patents + IDE + Hub + VS Code Extension + Ecosystem sites |
| Full Acquisition — Team + Technology | $500M – $2B | Everything above + Core engineering team + Domain portfolio (55 domains) + Future roadmap |
forge buildforge runforge checkforge emit-irforge benchforge profileforge fmtforge replforge shareforge gameforge llmforge pkgforge lspFORGE is acquisition-ready with a complete compiler, shipping ecosystem, and world-class engineering team. Contact us for the full acquisition deck.
✉️ Contact: dev@forgelang.dev