Beating OpenAI at Adaptive Compute
We've solved what OpenAI couldn't: teaching AI to automatically decide how much thinking power to use. The result? Systems that are faster, smarter, and dramatically cheaper to run.
What OpenAI Hasn't Cracked Yet
Greg Brockman admitted: "We haven't really cracked adaptive compute within the architecture yet—but doing it within orchestration is straightforward"
OpenAI's Approach to GPT-5
- •Manual routing between models
- •No true model-level cooperation
- •Orchestration-level switching only
Our Breakthrough
- •Native adaptive compute in architecture
- •Dynamic real-time allocation
- •Seamless model cooperation
Breakthrough Performance
Our system outperforms OpenAI's Deep Research Agent on multimodal tasks (text + images), while they only score 67.36% on text-only
Deep Research Agent for Students
World-class AI research assistant at student-friendly prices. Academic reasoning tasks that are too complex for single-model systems, yet affordable unlike expensive agent platforms.
- ✓Conduct deep academic research with multimodal context (text, figures, equations)
- ✓Generate structured, citation-ready outputs
- ✓Learn interactively through reasoning traces and self-explanations
Making world-class AI research assistants accessible to everyone. Stay tuned for updates!
Building the Future of Intelligent Agents
The first era proved that large models can generate. The next era will prove that intelligent agents can reason, act, and learn collaboratively—adapting their compute dynamically to solve complex problems efficiently.
We're building the foundation for scalable, adaptive, and truly intelligent systems. Stay tuned for more on our research and products.