RightNow AI
Accelerate AI inference and GPU kernel development by providing AI-powered tools that understand the target GPU, automatically profile, benchmark, and suggest optimizations.
At a Glance
- GPU/Hardware-AI Engineers
- Enterprise AI Teams
- AI Researchers
- Edge-AI Developers
AI Tools by RightNow AI
(2)OpenFang
Open Source Agent OS in Rust
RightNow AI
GPU Kernel Editor with AI
Discussions
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Latest News
RightNow AI Adds Mojo Support in v1.0.0 Release
OpenFang Agent Operating System Launched on GitHub
RightNow AI v0.1.0 Live with Multi-DSL Support
Forge (AutoKernel) Released for Autonomous Kernel Research
Products & Services
AI-enhanced IDE for GPU kernels supporting CUDA, Triton, Mojo, PyTorch, CUTE, and more.
Enterprise-grade CLI 'swarm' agent that generates optimized CUDA/Triton kernels from PyTorch models.
Cycle-accurate emulator supporting 86+ NVIDIA GPU architectures with <2% error.
An open-source Agent Operating System for managing autonomous AI hands and skills.
Market Position
First AI code editor built specifically for GPU kernel development with deep hardware awareness and automated optimization agents.
Leadership
Founders
Osama Jaber
Solo founder with an expert background in CUDA/GPU kernel optimization and AI agents. Education: University of Petra. Based in Amman, Jordan / United States.
Executive Team
Osama Jaber
Founder & CEO
Lead developer and researcher for RightNow AI and its core technologies.
Board of Directors
Founding Story
Built as a solo project by Osama Jaber to simplify the complex process of CUDA/GPU kernel optimization and profiling. The vision was to use AI agents to automate the research and optimization of kernels for various GPU architectures.
Business Model
Revenue Model
Freemium with paid upgrades for advanced features (GPU emulator, enterprise features) and enterprise licensing for Forge/AutoKernel.
Pricing Tiers
Access to core editor, downloads for Windows/Mac/Linux, and base features.
Includes cycle-accurate GPU emulator, multi-GPU profiling, and Forge enterprise agent.
Target Markets
- GPU/Hardware-AI Engineers
- Enterprise AI Teams
- AI Researchers
- Edge-AI Developers
- GPU kernel development and debugging
- AI inference optimization
- Edge-AI development for resource-constrained hardware
- Autonomous AI agent orchestration
- Cross-architecture GPU testing without physical hardware
- NVIDIA
- Hugging Face
- Runway
- Together